SAP Forecasting and Replenishment for Retail, add-on for fresh products

Transcription

1 Document Version: 1.2 Released to Customer Date: SAP Forecasting and Replenishment for Retail, add-on for fresh products

2 Typographic Conventions Type Style Example Example EXAMPLE Example Example <Example> EXAMPLE Description Words or characters quoted from the screen. These include field names, screen titles, pushbuttons labels, menu names, menu paths, and menu options. Textual cross-references to other documents. Emphasized words or expressions. Technical names of system objects. These include report names, program names, transaction codes, table names, and key concepts of a programming language when they are surrounded by body text, for example, SELECT and INCLUDE. Output on the screen. This includes file and directory names and their paths, messages, names of variables and parameters, source text, and names of installation, upgrade and database tools. Exact user entry. These are words or characters that you enter in the system exactly as they appear in the documentation. Variable user entry. Angle brackets indicate that you replace these words and characters with appropriate entries to make entries in the system. Keys on the keyboard, for example, F2 or ENTER., fresh product forecasting add-on Configuration Guide Version: 1.0 Final 2014 SAP SE or an SAP affiliate company. All rights reserved. 2

3 Document History Version Status Date Change 1.0 Final , Configuration Guide Version: 1.2 Final 2014 SAP SE or an SAP affiliate company. All rights reserved. 3

4 Table of Contents 1 About This Document Purpose and Scope Target Audience Glossary Related Information Important SAP Notes Solution Overview System Landscape Implementation and Configuration Add-On Time Series Settings Creating Key Figure Parameters Defining Time Series SAP Forecasting and Replenishment for Retail Standard Customizing Settings Define the Time-Based Scheduling Message Type Define the Internal Qualifier Set the Goods Processing Time in Hours Time Series Interface Time Series Settings Exception Management Dispatcher Profile Add-On Customizing Settings Master Data Fresh Product Identification Demand Influencing Factors Interfaces F&R Processor Intraday Functions BAdI Implementations BAdI /FRE/IF_CON_BADI_ BAdI /FRE/IF_CON_BADI_ BAdI /FRE/FU_CON_BI_BADI BAdI /FRE/FU_FRP_BADI_ BAdI /FRE/FU_FRP_BADI BAdI /FRE/FU_TS_BADI_ BAdI /FRE/UI_RWB_BADI_ BAdI /FRE/UI_RWB_BADI_ BAdI /FRE/IF_CON_BADI_ BAdI /FFIS/BD_SELLING_PROF... 38, Configuration Guide Version: 1.2 Final 2014 SAP SE or an SAP affiliate company. All rights reserved. 4

5 4 Security Operations Monitoring Alert Monitoring Error Logs Background Job Monitoring Administration and Management Starting and Stopping Technical Configuration Load Balancing and Scalability... 42, Configuration Guide Version: 1.2 Final 2014 SAP SE or an SAP affiliate company. All rights reserved. 5

6 Table of Figures Figure 1: New time series Figure 2: Time series definition Figure 3: Time series assignment Figure 4: Qualifier definition Figure 5: Time series interface settings Figure 6: Time Series Profiles Figure 7: Time Series Profile Parameters Figure 8: High Level Exceptions Figure 9: FRP Sequence/FFIS/DEFAULT Figure 10: FRP Sequence/FFIS/ACTIVATION Figure 11: FRP Sequence/FFIS/ACTIVATION Figure 12: FRP Sequence/FFIS/OUTBOUND Figure 13: FRP Sequence/FFIS/AUTO_REPL_AND_OPRM Figure 14: FRP Sequence/FFIS/INBOUND Figure 15: FRP Sequence/FFIS/CLEANUP Figure 16: FRP Sequence/FFIS/ACTIVATION... 25, fresh product forecasting add-on Configuration Guide Version: 1.0 Final 2014 SAP SE or an SAP affiliate company. All rights reserved. 6

7 1 About This Document 1.1 Purpose and Scope The administrators guide provides a central starting point for the technical implementation and configuration of SAP Forecasting and Replenishment for Retail, add-on for fresh products. It describes everything you have to do to implement and configure. In addition, this configuration guide provides security and operations information. supports the following processes: Identification and configuration of fresh products Forecasting and automated replenishment for fresh products Automated stock corrections for fresh products at relevant expiration date (calculation of projected waste and shrinkage) Multiple order, delivery, and availability times per day 1.2 Target Audience This document is intended for the following target audiences: o Consultants o Partners o Customers o System administrators 1.3 Glossary Term Abbreviation Definition Demand influencing factor DIF An external factor that describes everything which influences the demand. It can be assigned on a product or a location level. ERP Core Component ECC Also known as ERP Central Component, the core of SAP ERP. Expiration date of an item n/a Date by which the product has to be sold. The date itself is the last day the item can be sold. At the end of this day, remaining items have to be written off SAP SE or an SAP affiliate company. All rights reserved. 7

8 Term Abbreviation Definition First in first out FIFO The item that was delivered first will be sold first. That means the consumer always picks the piece that has the shortest remaining time until expiration date. Forecast calculation n/a The forecast calculation (also known as forecasting) for fresh products consists of the following main process steps: Optimization: Determines optimum model parameters so that the model explaining the historic sales best fits the model. Estimation: Determines model coefficients Prediction: Calculates the forecasts by applying the model coefficients in the future. Forecast Replenishment Processor SAP Forecasting and Replenishment for Retail FRP SAP F&R Fresh product n/a Perishable goods Goods receipt GR List of the quantity of items already delivered to the target location. Last in first out LIFO The principle that the item that is delivered last will be sold first. This means that the consumer always picks the piece that has the longest remaining time until expiration date. Outlier n/a A demand quantity for a specific time period that deviates sufficiently from the norm for it to be classified as irregular. Planned goods receipt PGR List of open order quantities for the target location on the delivery date. Planned goods receipts in the past (back orders) only are considered if they are still within the past horizon for back orders. Projected waste n/a A term used in place of spoilage Scheduling Groups n/a Shelf life n/a The maximum number of days a product can be sold starting from the delivery date in the store. As delivery has no time definition, the delivery date itself already is counted as the first day. Shrinkage n/a A reduction of stock prior to expiration date due to bad quality, damage or physical shrinkage. Supply Chain Management SCM 2014 SAP SE or an SAP affiliate company. All rights reserved. 8

9 1.4 Related Information In addition to this guide, the following documents are available: Application help The software and documentation are available for download on SAP Service Marketplace at Software Downloads Installations and Upgrades By Alphabetical Index (A to Z) F. 1.5 Important SAP Notes Make sure that you have installed the required software before you start the implementation process. You can find the required installation information in the SAP Notes listed in the table below. Recommendation Make sure that you have read the SAP Notes before you start implementing the software. These SAP Notes contain the latest information about installation as well as corrections to the installation information. Also make sure that you have the up-to-date version of each SAP Note, which is available on SAP Service Marketplace SAP Note Number Title Description Release Note. SAP Forecasting and Replenishment for Retail, add-on for fresh products FRP Enhancement ABAP add-on FFISCM 702: Installation, Upgrade, CSPs FRP_BAdI_003: Interface- Enhancements Change documents are not created for location products Delete Sales Items Append Structure Standard FRP run aborts after fresh products add-on installation Release note Installation note This note must be implemented before you install SAP Forecasting and Replenishment for Retail, add-on for fresh products. This note provides BAdI enhancements You must implement this to ensure enhanced functionality This note must be implemented to avoid FRP abort error message. This note must be implemented to avoid implementation error SAP SE or an SAP affiliate company. All rights reserved. 9

10 2 Solution Overview Fresh products such as vegetables, fruits, meat, fish, and convenience foods are essential for grocery retailers because they contribute significantly to margin and revenue. Typically, fresh products are items that are delivered at least 4 times a week with delivery times less than or equal to 2 working days. In addition, they have short replenishment cycles, strong trends, and sell quickly during the week. The SAP Forecasting and Replenishment for Retail, add-on for fresh products is integrated into SAP F&R as an add-on. This solution helps customers reduce spoilage and increase availability of this kind of product category. The add-on supports the following processes: Identification and configuration of fresh products To use the improved forecast calculation for fresh products, this product type must first be identified. This add-on contains rule-based determination functionality to prepare fresh products for subsequent processing during the interface processing of new products. Forecasting and automated replenishment of fresh products An enhanced forecast calculation for fresh products is part of this add-on. Several features, for example, forecast calculation on a daily granularity or automatic detection of seasonal patterns are implemented to optimize the forecast and replenishment for fresh products. Automated stock corrections for fresh products at relevant expiration date (calculation of projected waste and shrinkage) Due to the included projected waste and shrinkage calculation, the shelf life information of the product is used to calculate potential stock reductions and considers them during demand calculation. Intraday Functions To allow more accurate processing of fresh products, you can implement intraday availability calculations, multiple order and delivery times, and intraday scheduling and order split functions. Intraday functions can also be implemented independently of the fresh product forecasting functions. Intraday functions can be used for all types of products. 2.1 System Landscape The is implemented as an enhancement of SAP F&R. Enhanced core modules for fresh product specific improvements are realized in Java. The following system components are required as minimum: o SAP SCM 7.02 and higher o SAP F&R 5.2 o SAP JVM SAP SE or an SAP affiliate company. All rights reserved. 10

11 Note The functionality that enables the system to identify and configure fresh products is only available if product master data has been received from SAP ECC. Recommendation SAP recommends that you use a minimal system landscape for test and demo purposes only. For reasons of performance, scalability, high availability, and security do not use a minimal system landscape as your productive landscape. For more information about creating productive system landscapes, see SAP Service Marketplace at SAP SE or an SAP affiliate company. All rights reserved. 11

12 3 Implementation and Configuration This chapter describes the mandatory settings in SAP F&R standard Customizing as well as the necessary entries in the system table for time series. These settings are a prerequisite for using the functions provided by SAP Forecasting and Replenishment for Retail, add-on for fresh products. Settings to switch on or off the fresh productspecific calculations and to fine tune single functions and features can be made in the new Customizing for SAP Forecasting and Replenishment for Retail, add-on for fresh products SAP Forecasting and Replenishment for Retail, add-on for fresh products. Note The Customizing settings and system table entries are also available in the add-on installation. The figures displayed in 2.2 are used for illustration purposes and refer to default Customizing settings. Recommendation SAP recommends that, after installation, you manually create transport requests with default settings and import these client-specific default Customizing settings into each add-on client. If you do not do this, the settings must be made manually in each individual add-on-relevant client. 3.1 Add-On Time Series Settings introduces four time series. The key figure parameters for the time series are: /FFIS/CONS_DATA Fresh product additional consumption data In this time series the consumption data is saved for at least two years with a daily granularity. /FFIS/FCST Calculated fresh product forecast This time series contains the forecast results calculated with the enhanced forecast module. /FFIS/PROJWASTE Calculated projected waste /FFIS/SHRINKAGE Calculated shrinkage The result of the projected waste and the shrinkage calculation is saved in these two time series Creating Key Figure Parameters You create the following key figure parameter for the time series in table/fre/tskprm (transactionsm30 Time Series Parameters) with the technical settings displayed in Figure 1 andfigure 2: 2014 SAP SE or an SAP affiliate company. All rights reserved. 12

13 Figure 1: Time series Figure 2: Time series definition Recommendation SAP recommends using exactly the same key figure parameter names as mentioned in Figure 1 and Figure 2 to prevent conflicts during the import of support packages and notes Defining Time Series After creating the key figure parameters for the time series of SAP Forecasting and Replenishment for Retail, add-on for fresh products, the time key figure parameters must be assigned to physical database tables. For each key figure parameter an assignment to a database table for a daily granularity as well as for a weekly granularity is mandatory. Therefore, you have to make the following entries in system table /FRE/CDM_DEF (transaction SE16 Define CDM Time Series Types): 2014 SAP SE or an SAP affiliate company. All rights reserved. 13

14 Figure 3: Time series assignment Note The database tables for the time series are part of the add-on installation. 3.2 SAP Forecasting and Replenishment for Retail Standard Customizing Settings To use, you have to make some additional settings in the SAP Customizing Implementation Guide for SAP Forecasting and Replenishment for Retail Define the Time-Based Scheduling Message Type You define a message type that is used when transferring time-based scheduling data. You also specify the packet size for each message. This customizing is only relevant if using the intraday functions. In the In the SAP - Implementation Guide, choose Forecasting and Replenishment -> Interfaces -> Define Message Types and create a new entry with the following values: 2014 SAP SE or an SAP affiliate company. All rights reserved. 14

15 Caution Based on your system performance, you can enter any value for the maximum number of objects. However, the other data must be entered as specified to ensure the data is transferred correctly Define the Internal Qualifier Consumption data for fresh products is saved in time series (see Add-On Time Series Settings). To ensure that the system updates consumption data for fresh products in separate time series in parallel, you have to create a new qualifier. This qualifier is only used internally and is not meant to receive data from the external system. You define the qualifier by performing the following Customizing activity: In the SAP - Implementation Guide, choose Forecasting and Replenishment -> Interfaces -> Define Movement Type Qualifiers. Figure 4: Qualifier definition Example In the deployed default Customizing, the new qualifier 3099POS DAILY SALES is created Set the Goods Processing Time in Hours You can set the Goods Receipt Processing Time manually in Maintain Location Products (transaction /FRE/MASS_MATLOC) or as part of a mass maintenance in Mass Maintenance in Background (transaction /FRE/MASS_BACKGROUND). To do this, you need first to define the field and make it editable. Add the Definition 1. In transactionsm30, maintain table/scmb/mdl_at_def. 2. Add the following entry: Table Name /SCMB/MDL_LOCPROD Field Name /FFIS/GRPTH 2014 SAP SE or an SAP affiliate company. All rights reserved. 15

16 Make the Field Editable In the Customizing (transactionspro) under Forecasting and Replenishment -> Master Data -> Define Maintainable Attributes, add a new row and enter the table name and field name that you just defined in SM30. Select the Maintenance Only Using Dialogs autonomy option Time Series Interface The qualifier that you create as described in must be connected to the time series for consumption data for fresh products. You assign the qualifier to time series in the following Customizing activity: In the SAP - Implementation Guide choose Forecasting and Replenishment -> Interfaces -> Maintain Time Series Interface Figure 5: Time series interface settings Time Series Settings For the four time series introduced with the add-on, you define the parameters in the following SAP F&R standard Customizing activity: In the SAP - Implementation Guide, choose Forecasting and Replenishment -> Time Series -> Maintain Time Series Profiles. Key figure parameters (time series): /FFIS/CONS_DATA Fresh product additional consumption data /FFIS/FCST Calculated fresh product forecast /FFIS/PROJWASTE Calculated projected waste /FFIS/SHRINKAGE Calculated shrinkage o They must be assigned to the time series profile. For example, you define the time series parameters as shown in Figure 7. Figure 6: Time Series Profiles 2014 SAP SE or an SAP affiliate company. All rights reserved. 16

17 Figure 7: Time Series Profile Parameters Recommendation SAP recommends that you make sales data for fresh products available daily for at least two years (~ 740 days). Please leave the Second Granularity empty as indicated above Exception Management The provides high-level exceptions. You find these exceptions in Figure 8. To use these add-on specific exceptions in the exception workbench for each message, you must create an entry in the following Customizing activity: In the SAP Implementation Guide, choose Forecasting and Replenishment -> Exception Management -> Maintain Configuration Data for High Level Exceptions. Recommendation Figure 8: High Level Exceptions SAP recommends that you assign the add-on specific high-level exceptions to business area 7 (Forecast) SAP SE or an SAP affiliate company. All rights reserved. 17

18 3.2.7 Dispatcher Profile Note Only adapt the dispatcher profile if the dispatcher is activated and used as F&R Processor. The extended dispatcher profile can be used for fresh products as well as non-fresh products. To use the add-on-specific functionality for fresh products, you must add new tasks that provide data for enhanced forecast, projected waste, and shrinkage calculations to the dispatcher profile. In addition, you have to insert the modules, which allow the calculation to be performed and imported as time series data, into the dispatcher profile. You have to replace tasksafrun_crit in the SAP F&R standard dispatcher profile with the new function to be executed. You can edit the dispatcher profile, dispatcher sequences, and dispatcher tasks in the following Customizing activity: In the SAP Implementation Guide, choose Forecasting and Replenishment -> F&R Processor -> Maintain Dispatcher Profiles. Task Description Function to be executed Restriction /FFIS/SAFRUN_ LOC_ACTIVATE Fresh product specific environment checks and actions /FFIS/FU_CL_FRP_ SAFRUN_LOC_ACT Call this task in non-critical time window, for example, before SAP F&R standard task SAFRUN_CALI B /FFIS/SAFOUT_ CONFIG_FILES Creation of add-on specific CONFIG-/WORK.INI files /FFIS/FU_CL_FRP_ SAFOUT_UPD_INI After task /FFIS/SAFRU N_ LOC_ACTIVAT E but in noncritical time frame, for example, before SAP F&R standard task SAFRUN_CALI B /FFIS/SAFOUT_ CLOSED_DAYS Creation of file with information about closed sales days /FFIS/FU_CL_FRP_ SAFOUT_STCLOSE Same as before /FFIS/SAFOUT_ FEAT_PARAM Creation of file with parameters for forecast calculation features /FFIS/FU_CL_FRP_ SAFOUT_FT_CONF Same as before 2014 SAP SE or an SAP affiliate company. All rights reserved. 18

19 Task Description Function to be executed Restriction /FFIS/SAFOUT_ CALIB_ITEMS Creation of file with location products relevant for new fresh product specific calibration /FFIS/FU_CL_FRP_ SAFOUT_CALIB Same as before /FFIS/SAFOUT_ FCST_ITEMS Creation of file with location products relevant for new fresh product specific forecast calculation /FFIS/FU_CL_FRP_ SAFOUT_FORECAS Same as before /FFIS/SAFOUT_ PRED_DATA Creation of files with fresh product specific information about DIF parameters and assignments /FFIS/FU_CL_FRP_ SAFOUT_PRDCTR Same as before /FFIS/SAFOUT_ PROJ_WASTE Creation of files with location products relevant for projected waste as well as provision of parameters for calculation /FFIS/FU_CL_FRP_ SAFOUT_WP Same as before /FFIS/SAFOUT_ DAILY_SALES Provision of consumption data from additional fresh product time series /FFIS/FU_CL_FRP_ SAFOUT_DAYSALE Directly before task /FFIS/SAFRU N_ CRIT (see next row) /FFIS/SAFRUN_ CRIT Call of the modules in critical time frame enhanced with additional calls of new fresh product specific calculations/steps /FFIS/FU_CL_FRP_ SAFRUN_CRIT This task replaces the SAP F&R standard task SAFRUN_CRI T with call of /FRE/FU_CL_ FRP_SAFRUN _CRIT /FFIS/SAFIN_ FRESH_PROD_FCST Import of calculated fresh product forecast from file as time series /FFIS/FU_CL_FRP_ SAFIN_EXT_FCST After task /FFIS/SAFRU N_ CRIT (see above) and just before the cleanup tasks /FFIS/SAFIN_ PROJECTED_WASTE Import of calculated projected waste and shrinkage from file as time series /FFIS/FU_CL_FRP_ SAFIN_PW_RESLT After task /FFIS/SAFRU N_ CRIT (see above) and 2014 SAP SE or an SAP affiliate company. All rights reserved. 19

20 Task Description Function to be executed Restriction just before the cleanup tasks /FFIS/SAFRUN_ CLEANUP Cleanup of fresh product specific data /FFIS/FU_CL_FRP_ SAFRUN_CLEANUP Final task or directly before SAP F&R standard cleanup task /FFIS/DELETE_SPLIT_IT EMS_BEGIN Deletes data from /FFIS/SPLIT_ITEM for the current location and planning date at the start of the FRP run /FFIS/FU_CL_FRP_DEL_S PLIT_1 Execute at the beginning of the FRP run /FFIS/DELETE_SPLIT_IT EMS_END Deletes Data from /FFIS/SPLIT_ITEM for the current Location & Planning Date at the begin of the FRP Run) /FFIS/FU_CL_FRP_DEL_S PLIT_2 Execute at the end of the FRP Run (after the creation of Order proposals) /FFIS/SAFOUT_ENHANCE_ DSX_FILES Enhances FRP Standard DSX files with additional used fields for fresh products /FFIS/FU_CL_FRP_SAFOU T_DSX Execute after creating the standard DSX files /FFIS/SAFOUT_ENHANCE_ DATADICT Enhances filedatadict.xml /FFIS/FU_CL_FRP_SAFOU T_DDICT Execute after creating the standard DATADICT.xm l File /FFIS/SAFOUT_DELIVER Deletes filedeliver.saf and renames Z_FFI_DELIVER_AVAILTIME.saf asdeliver.saf /FFIS/FU_CL_FRP_SAFOU T_DELIVER Execute at the end ofsafout and before SAFRUN (sequence /FFIS/OUTBO UND) /FFIS/SAFOUT_OPENORDE R Deletes fileopenorder.saf and renames Z_FFI_OPENORDER_AVAILTI ME.saf asopenorder.saf /FFIS/FU_CL_FRP_SAFOU T_OPORDER Execute at the end ofsafout and before SAFRUN (sequence /FFIS/OUTBO UND) /FFIS/SAFOUT_SALESITE MS Deletes filesalesitems.saf and renames /FFIS/FU_CL_FRP_SAFOU T_SALESIT Execute at the end ofsafout and before 2014 SAP SE or an SAP affiliate company. All rights reserved. 20

21 Task Description Function to be executed Z_FFI_SALESITEMS.saf as SALESITEMS.saf Restriction SAFRUN (sequence /FFIS/OUTBO UND) /FFIS/SAFOUT_INTMORAT ES Creates the file IntradayMovementRates.s af /FFIS/FU_CL_FRP_SAFOU T_INTMORT Execute in sequence /FFIS/OUTBO UND /FFIS/TIME_BASED_SCHE DULING Sets the value of class attribute /FFIS/CL_IM_SCHEDULING= >GV_FRP_RUN to ABAP_TRUE /FFIS/FU_CL_FRP_INTRA DAY_SCHED Execute at the beginning of the FRP Run /FFIS/SAFRUN_CALIB Calibration in non-crit. time frame /FFIS/FU_CL_FRP_SAFRU N_CALIB Execute in non-critical time frame The following figures show the default add-on dispatcher settings: Dispatcher Profile /FFIS/DEFAULT: Figure 9: FRP Sequence/FFIS/DEFAULT 2014 SAP SE or an SAP affiliate company. All rights reserved. 21

22 FRP Sequence /FFIS/MD_AND_TECH_SYNCH: Figure 10: FRP Sequence/FFIS/ACTIVATION FRP Task Function to be executed Dispatcher Task Text /FFIS/TIME_BASED_SCHEDULING /FFIS/FU_CL_FRP_INTRADAY_SCHED FP: Time Based Scheduling/Intraday Sol. /FFIS/DELETE_SPLIT_ITEMS_BEGIN /FFIS/FU_CL_FRP_DEL_SPLIT_1 /FFIS/SAFOUT_ENHANCE_DATADICT /FFIS/FU_CL_FRP_SAFOUT_DDICT /FFIS/SAFOUT_ENHANCE_DSX_FILES /FFIS/FU_CL_FRP_SAFOUT_DSX FP: Reorganization for split item table FP: Enhance DATADICT.xml FP: Enhance DSX Files /FFIS/SAFOUT_SALESITEMS /FFIS/FU_CL_FRP_SAFOUT_SALESIT FP: Cr. SALESITEMS.saf file FRP Sequence /FFIS/ACTIVATION: Figure 11: FRP Sequence/FFIS/ACTIVATION Task Function to be execute Dispatcher Task Text /FFIS/SAFRUN_LOC_ACTIVATE /FFIS/FU_CL_FRP_SAFRUN_LOC_ACT FP: Module call for location activation 2014 SAP SE or an SAP affiliate company. All rights reserved. 22

23 FRP Sequence /FFIS/OUTBOUND: Figure 12: FRP Sequence/FFIS/OUTBOUND Task Function to be execute Dispatcher Task Text /FFIS/SAFOUT_CONFIG_FILES /FFIS/SAFOUT_CLOSED_DAYS /FFIS/SAFOUT_FEAT_PARAM /FFIS/FU_CL_FRP_SAFOUT_UPD_INI FP: Cr. specific CONFIG- /WORK.INI-files /FFIS/FU_CL_FRP_SAFOUT_STCLOSE FP: Cr. closed days file /FFIS/FU_CL_FRP_SAFOUT_FT_CONF FP: Cr. feature parameters file /FFIS/SAFOUT_CALIB_ITEMS /FFIS/FU_CL_FRP_SAFOUT_CALIB FP: Cr. calibration items file /FFIS/SAFOUT_FCST_ITEMS /FFIS/FU_CL_FRP_SAFOUT_FORECAS FP: Cr. forecasting items file /FFIS/SAFOUT_PRED_DATA /FFIS/FU_CL_FRP_SAFOUT_PRDCTR FP: Cr. pred. assignment and parameter files /FFIS/SAFOUT_PROJ_WASTE /FFIS/FU_CL_FRP_SAFOUT_WP FP: Cr. PW items, parameter and data files /FFIS/SAFOUT_DELIVER /FFIS/SAFOUT_INTMORATES /FFIS/FU_CL_FRP_SAFOUT_DELIVER FP: Cr. deliver file with AVAIL times /FFIS/FU_CL_FRP_SAFOUT_INTMORT FP: Cr. IntradayMovementRates.saf file /FFIS/SAFOUT_DP Fill /FRE/FRP_DP for Intraday Reset the detailed timestamps of the Intraday Solution back to dates to ensure a right data access during the standard order forecast function SAP SE or an SAP affiliate company. All rights reserved. 23

24 Task Function to be execute Dispatcher Task Text /FFIS/SAFRUN_CALIB /FFIS/FU_CL_FRP_SAFRUN_CALIB FP: Calibration in non-crit. time frame FRP sequence /FFIS/AUTO_REPL_AND_OPRM: Figure 13: FRP Sequence/FFIS/AUTO_REPL_AND_OPRM Task Function to be execute Dispatcher Task Text /FFIS/SAFOUT_DAILY_SALES /FFIS/FU_CL_FRP_SAFOUT_DAYSALE FP: Cr. daily sales (cons. data) file /FFIS/SAFRUN_CRIT /FFIS/FU_CL_FRP_SAFRUN_CRIT FP: Module calls in critical timeframe /FFIS/DELETE_SPLIT_ITEMS_END /FFIS/FU_CL_FRP_DEL_SPLIT_2 FP: Reorganization for split item table FRP sequence /FFIS/INBOUND: Figure 14: FRP Sequence/FFIS/INBOUND Task Function to be execute Dispatcher Task Text /FFIS/SAFIN_FRESH_PROD_FCST /FFIS/FU_CL_FRP_SAFIN_EXT_FCST FP: Import fresh prod. specific forecast 2014 SAP SE or an SAP affiliate company. All rights reserved. 24

25 Task Function to be execute Dispatcher Task Text /FFIS/SAFIN_PROJECTED_WASTE /FFIS/FU_CL_FRP_SAFIN_PW_RESLT FP: Import projected waste & shrinkage FRP sequence /FFIS/CLEANUP: Figure 15: FRP Sequence/FFIS/CLEANUP Task Function to be execute Dispatcher Task Text /FFIS/SAFRUN_CLEANUP /FFIS/FU_CL_FRP_SAFRUN_CLEANUP FP: Specific cleanup module call FRP Sequence TD_DATA_SYNCH Figure 16: FRP Sequence/FFIS/ACTIVATION Task Function to be execute Dispatcher Task Text /FFIS/SAFOUT_OPENORDER /FFIS/FU_CL_FRP_SAFOUT_OPORDER FP: Cr. OPENORDER file with AVAIL times 3.3 Add-On Customizing Settings This section contains the information necessary to configure the SAP system to meet customer requirements. The configuration is done in the Customizing (transaction SPRO). The provides additional Customizing activities located in the following Customizing path: SAP - Implementation Guide -> 2014 SAP SE or an SAP affiliate company. All rights reserved. 25

26 The following chapters describe the settings to be made in Customizing for SAP Forecasting and Replenishment for Retail, add-on for fresh products. Additional information is available as system documentation in Customizing. Recommendation The installation of this add-on contains default Customizing settings. SAP recommends that you create a copy of these Customizing entries instead of changing the default values Master Data SAP Implementation Guide -> -> Master Data This Customizing node contains general activities to define weekday groups, weekday group profiles, and resolution groups. This data constitutes the allowed values in other Customizing activities Fresh Product Identification SAP Implementation Guide -> -> Master Data -> Fresh Product Identification This Customizing node contains activities needed to identify whether new location products entered on the interface are fresh products. Note Automatic identification of new products as fresh products is optional. You do not need to make any settings if you do not want to use this functionality Demand Influencing Factors SAP Implementation Guide -> -> Demand Influencing Factors This Customizing node contains activities to define the relevance of the DIF identifier for fresh products and edit the DIF identifier Interfaces SAP Implementation Guide -> -> Interfaces 2014 SAP SE or an SAP affiliate company. All rights reserved. 26

27 This Customizing node contains settings related to interfaces. These are general settings considered during outbound processing within an FRP run but also settings relevant for inbound processing of consumption data. For fresh products, you can make different settings from SAP F&R standard to retrieve historical consumption data during the initial transfer from BI F&R Processor SAP Implementation Guide -> -> F&R Processor This Customizing node contains settings that control the FRP run. You can set the parameters for the enhanced forecast, projected waste, and shrinkage calculations. In addition to generally activating the fresh products forecast and waste calculations for SAP F&R standard forecasting profiles, you can activate and deactivate the individual enhanced forecast features. You can also define the parameters used for the calculation. Caution These Customizing activities determine whether the add-on's main functions are activated. When activating the fresh product forecast and/or projected waste calculation at forecasting profile level, the functions are activated for all location products where the forecasting profile is (already) assigned. Then the assignment of a suitable parameter profile is mandatory. Finally, you can select how the system deals with back orders when calculating the projected waste. You can, for example, choose to determine valid back orders based on the shelf life of the product. If the back order is so late that the products shelf life has been exceeded, the system will stop considering the products as planned goods receipts Intraday Functions SAP Implementation Guide -> ->Intraday Functions The settings required to enable intraday functions are collected here. These functions enable you to provide scheduling data for multiple order and delivery times and import intraday selling profiles for different locations to help calculate demand for products with shorter shelf lives. When you have implemented these rely on data imported from an external system and override the dates generated by procurements cycles. This section provides information about the database tables provided with the intraday functionality and provides detailed information about each of the Customizing activities that you have to perform Database Tables SAP provides the following database tables which you have to fill with data from your master data system: 2014 SAP SE or an SAP affiliate company. All rights reserved. 27

28 Name Technical Name Description Scheduling data table /FFIS/SCHEDULES This table contains all of your scheduling data. Once the data is imported into the BIF tables, you have to execute Process Fresh Produce BIF Data (transaction /FFIS/BIF_PROC) to copy the data to the database tables Location opening hours table /FFIS/LOC_OPENHR This tables contains the opening hours for all of your stores. Once the data is imported into the BIF tables, you have to execute Process Fresh Produce BIF Data (transaction /FFIS/BIF_PROC) to copy the data to the database tables Selling profiles table /FFIS/SELLPROF This table contains all your selling profiles. Profiles are imported by implementing and calling BAdI /FFIS/BD_SELLING_PROF Scheduling Data The scheduling data table has the following structure that you can provide data for: Component Component Type Short Text / Comment KEY_TST /FRE/BIF_KEY_TST Key time stamp for BIF records.include /FFIS/BIF_SCHED_KEY_STY Key Fields of BIF Scheduling Data LOCATION_TO /FRE/LOCNOTO Target Location LOCATION_TO_TYPE /FRE/LOCTOTYPE Location Type of the Target Location LOCATION_FROM /FRE/LOCNOFR Source Location LOCATION_FROM_TYPE /FRE/LOCFRTYPE Location Type of a Source Location SCHED_GROUP /FFIS/SCHED_GROUP Scheduling Group ORDER_DATE /FFIS/ORDER_DATE Order Date ORDER_CUTOFF /FFIS/ORDER_CUTOFF Order Cutoff Time DELIVERY_DATE /FFIS/DELIVERY_DATE Delivery Date DELIVERY_TIME /FFIS/DELIVERY_TIME Delivery Time AVAIL_DATE /FFIS/AVAIL_DATE Availability Date 2014 SAP SE or an SAP affiliate company. All rights reserved. 28

29 Component Component Type Short Text / Comment AVAIL_TIME /FFIS/AVAIL_TIME Availability Time FUNCTION /FRE/BIF_FUNCTION Function code New data elements for this structure: Data Element Domain Short Text / Comment /FFIS/AVAIL_DATE DATS Availability Date /FFIS/AVAIL_TIME TIMES Availability Time /FFIS/DELIVERY_DATE DATS Delivery Date /FFIS/DELIVERY_TIME TIMES Delivery Time /FFIS/ORDER_CUTOFF TIMES Order Cutoff Time /FFIS/ORDER_DATE DATS Order Date /FFIS/SCHED_GROUP /FFIS/SCHED_GROUP Scheduling Group New domain: Field Name Format Value /FFIS/SCHED_GROUP CHAR(000040) Output Value Range This data is imported over the RFC module/ffis/bif_sched_inbound Define Attributes for Scheduling Groups The system uses scheduling groups to classify location products that are ordered and delivered together. The groups are a technical key used to store scheduling data at an aggregated data level. You define a scheduling group by specifying a combination of master data attributes from your product, location product, and lane data. The system concatenates these fields to form the technical key and aggregate products. In this Customizing activity, you select which master data attributes are used to define the scheduling groups in the table/ffis/schedules and the order that the system concatenates the attributes in. You specify one combination of attributes for internal replenishment and a different one for external replenishment. To define a scheduling group, you can use any combination of attributes from the following structures: /FRE/MATKEY /FRE/MATLOC /FRE/SOS_STY 2014 SAP SE or an SAP affiliate company. All rights reserved. 29

30 Caution You must perform this Customizing activity before you use the groups productively for the first time because the content of scheduling groups is part of the key definition of the database table/ffis/schedules. After you have used a scheduling group productively, you must not edit this Customizing activity. If you need to change the scheduling group definition, you must first reorganize the database content and you may have to migrate it Perform Basic Settings In this Customizing activity you select a distribution method and availability moment calculation method. This section contains information about each of the options that are available and lists the requirements for each of them. Availability Moment Calculation The availability moment calculation method specifies how the system calculates when an ordered product is going to be available for sale. By default, Calculate based on Goods Receipts Processing Time is selected. To use this option, table/ffis/schedules must contain the relevant data. To bring the data into the BIF tables, you have to configure RFC module/ffis/bif_sched_inbound. Finally, execute Process Fresh Produce BIF Data (transaction/ffis/bif_proc) to copy the data to the database tables. Derive based on Scheduling Data Table If you use this option, the system uses the data stored in the scheduling data table, which contains the availability date and time for specific combinations of target location, source location, and scheduling group. The availability moment is defined as the availability time on the availability date. Calculate Based on Goods Receipts Processing Time If you use this option, the availability moments are calculated based on the delivery dates and times defined in table /FFIS/SCHEDULES and the goods receipts processing time in hours as maintained in the location product table. The system then calculates the availability moments as Delivery Moment + Goods Receipt Processing Time in Hours. The delivery moment is defined as the availability time on the availability date. Using this option, the system can differentiate between goods receipts processing times at location product level. To use this option, you must first define the goods receipts processing time in hours in SAP Forecasting and Replenishment for Retail. The system cannot import this data from your master data system, for example, SAP ECC. Distribution Methods The distribution method specifies how the system distributes forecast values throughout the day. By default, Equal Distribution is selected. Equal distribution If you select this option, system assumes that the forecast values are equally distributed throughout the whole day. To change the period of time over which the forecast values are distributed for specific locations, you import your location opening times into database table/ffis/loc_openhr. When transferring location data from the master data system to the SAP Forecasting and Replenishment for Retail system, the add-on automatically stores the location opening hours in a BIF table. Execute Process Fresh Produce BIF Data (transaction/ffis/bif_proc) to copy the data to the database tables SAP SE or an SAP affiliate company. All rights reserved. 30

31 Example If a location's opening times are defined in the table as being 08:00 to 20:00 daily, the system calculates the daily forecast values as being equally distributed over the 12 hours. If you have not imported store opening times, the system calculates the forecast values as being equally distributed over 24 hours. Imported Intraday Selling Profiles If you select this option, the system can distribute forecast values based on selling profiles that are imported from an external system. The intraday selling profiles will then define how your forecast values are distributed throughout the day. The data provided in intraday profiles overrides any date that you have imported for location opening hours. To use this option you must implement and call BAdI /FFIS/BD_SELLING_PROF to import intraday selling profiles. SAP provides an example implementation/ffis/bd_selling_prof_impl for the BAdI. For more information, see BAdI /FFIS/BD_SELLING_PROF. If you do not provide intraday selling profiles, for example, for a specific merchandise category or product, the system uses equal distribution as a fallback. This option can be used in combination with the Define Time Clusters and Merchandise Categories activity in the Customizing (transaction SPRO) under -> Intraday Functions. For more information about how these two activities interact, see Define Time Clusters and Merchandise Categories. Example You have a selling profile for a particular merchandise category or product, which defines the following forecast value distribution: Time of Day Percentage of Daily Sales Sold at this Time 08:00 to 11:00 40% 11:00 to 14:00 15% 14:00 to 17:00 15% 17:00 to 20:00 30% After importing this data into the system and selecting the Import Intraday Selling Profiles option in the Customizing, the SAP Forecasting and Replenishment for Retail system will use these values for calculating the forecast value distribution for this merchandise category or product. The system calculates the forecast value distribution for other merchandise categories and products by using equal distribution Activate Intraday Functions In this Customizing activity you activate the available intraday functions. This section contains information about the functions themselves and the requirements for each of them. The following functions are available: Function Time-based scheduling Description If this function is active, the system uses the order, delivery, and availability dates and times that are stored in table/ffis/schedules instead of determining them from procurement cycles as in the standard solution SAP SE or an SAP affiliate company. All rights reserved. 31

32 Function Time-based replenishment Order proposal split Description By using availability times and store opening times within SAP Forecasting and Replenishment, the system can consider intraday movements. Demand calculation is done based on availability times instead of availability days only. The daily forecast values are distributed based on predefined intraday movement rates. If this function is active, in addition to using the order, delivery, and availability dates stored in the table, the system also uses the time that is assigned to the order, delivery, and availability moments in the table. This feature allows you to see a time component to the order proposal process allowing you to specify order moments rather than just order dates. Order moments are a specific time on a specific date. If this function is active, the system will generate more than one order proposal if there are multiple order, delivery, or availability times for the same date. The end user can see the times for order and delivery moments in the Replenishment Workbench and not just the dates. This means you can have multiple order proposals per planning day for the same product. Daily demand forecast is split based the distribution method and the availability moment is calculated based on the calculation method, both of which you select in Perform Basic Settings. Time-Based Scheduling Requirements You must define scheduling groups for internal and external replenishment. You do this in the Customizing (transactionspro) under -> Intraday Functions -> Define Attributes for Scheduling Groups. Table/FFIS/SCHEDULES must contain the relevant data. To bring the data into the BIF tables, you have to configure RFC module/ffis/bif_sched_inbound. Finally, execute Process Fresh Produce BIF Data (transaction/ffis/bif_proc) to copy the data to the database tables. Time-Based Replenishment Requirements You must activate Time-Based Scheduling and perform all of the required steps for that function. Depending on the distribution method you have chosen, you can either import your selling profiles into the SAP Forecasting and Replenishment for Retail system by implementing and calling BAdI/FFIS/BD_SELLING_PROF if you plan on using them or import your location opening hours.. For more information, see BAdI /FFIS/BD_SELLING_PROF. You must select a distribution method and availability moment calculation method. You do this in the Customizing (transactionspro) under -> Intraday Functions -> Define Attributes for Scheduling Groups. Depending on your requirements, you could also import location opening times and define time clustering for your merchandise categories. For more information, see Perform Basic Settings. Order Proposal Split Requirements You must activate Time-Based Replenishment and perform all of the required steps for that function SAP SE or an SAP affiliate company. All rights reserved. 32

33 Define Time Clusters and Merchandise Categories In this Customizing activity you can set time clusters for specific merchandise categories at different locations. The system uses this to determine how the forecast is distributed across a location's opening hours. Note These settings are used in combination with the Imported Intraday Selling Profiles distribution method that you can select in the Customizing (transaction SPRO) under SAP Forecasting and Replenishment for Retail, add-on for fresh products -> Intraday Functions -> Perform Basic Settings. If your imported selling profiles do not already specify time clusters, you can use the values you have specified here to apply them to the data that you import from your external system. The settings you make here are passed to BAdI /FFIS/BD_SELLING_PROF allowing you to use them in your implementation. Define Time Clusters You can select how to cluster your hours by either specifying the size of the clusters for individual locations, by specifying a unique location number and location type, or by specifying one cluster size for all locations. If you want to define time clusters using this activity, you must perform this activity for at least the All Location entry. The number in the field represents how many hours are in one cluster. Based on this value, the system divides the business hours of a location into clusters of hours. These different clusters are used to assign a different value for each intraday movement rate of fresh products. Any locations that do not have a specific Single Location entry, use the cluster size from the All Locations entry by default. Define Merchandise Categories You can define merchandise categories for individual locations, by specifying a unique location number and location type, or for all locations. To specify a merchandise category, select a location from the Maintain Cluster Size for Locations node and choose the Maintain Merchandise Categories for Locations node. Any merchandise categories you now specify will only be relevant for the location you selected from the first node. Only the merchandise categories maintained in the Maintain Merchandise Categories for Locations node consider the cluster size value stored for that location. For all other merchandise categories, the system uses equal distribution based on store opening times for the forecast distribution. 3.4 BAdI Implementations For, BAdI implementations are used. In this section the implemented BAdIs are listed as well as some technical information and a short description of the process related to the BAdI implementation SAP SE or an SAP affiliate company. All rights reserved. 33

34 3.4.1 BAdI /FRE/IF_CON_BADI_009 The BAdI implementation of the methodif_con_badi_009_enr_matloc is executed if location product data is received from the sending system. In this implementation the verification whether a location product should be handled as fresh product based on defined conditions and rules maintained in Customizing (see 3.3.2) is executed for new products. For identified fresh products, the default forecasting profile for fresh products is set for the location product. Attribute Implementation Name Implementation Short Text Definition Name Interface Name Method Implementing Class Value /FFIS/FRESHITM_IDENT Identifies whether a product is a fresh item /FRE/IF_CON_BADI_009 /FRE/IF_EX_IF_CON_BADI_009 IF_CON_BADI_009_ENR_MATLOC /FFIS/CL_IM_FRESHITM_IDENTIFY BAdI /FRE/IF_CON_BADI_003 This BAdI is called if time series data is received and right before they are written into the buffer table. In SAP Forecasting and Replenishment for Retail, add-on for fresh products, an implementation is contained to duplicate received entries with the new qualifier before updating the buffer. The Customizing settings control which dataset with which qualifier are duplicated with the new qualifier (see 3.3.4). Attribute Implementation Name Implementation Short Text Definition Name Interface Name Method Implementing Class Value /FFIS/IMP_TS_BUFFER Import consumption data into time series buffer /FRE/IF_CON_BADI_003 /FRE/IF_EX_IF_CON_BADI_003 IF_CON_BADI_003_TSD /FFIS/CL_IM_IMP_TS_BUFFER BAdI /FRE/FU_CON_BI_BADI2 If the initial transfer of consumption data from BI, which is an SAP Forecasting and Replenishment for Retail standard process, is used, you maintain the data source to be accessed for retrieving historical consumption data in the SAP Forecasting and Replenishment for Retail Customizing (Alternative Transfer of Consumption from BI - Profile). To enable the maintenance of the divergent data source for fresh products, add-on specific Customizing is introduced (see 3.3.4). The methodsretrieve_consumption andchange_ts is used to overwrite the SAP F&R standard 2014 SAP SE or an SAP affiliate company. All rights reserved. 34

35 setting for the provision of BI data with fresh product specific settings. In addition, it is used to duplicate the received data with the new qualifier (similar tobadi /FRE/IF_CON_BADI_003). Attribute Implementation Name Implementation Short Text Definition Name Interface Name Method Implementing Class Value /FFIS/IMP_TS_DIRECT Import consumption data into time series appl. table /FRE/FU_CON_BI_BADI2 /FRE/IF_EX_FU_CON_BI_BADI2 RETRIEVE_CONSUMPTION + CHANGE_TS /FFIS/CL_IM_IMP_TS_DIRECT BAdI /FRE/FU_FRP_BADI_002 The methodchange_parameters of this BAdI is implemented to eliminate DIF identifiers from the equation parameters in the SAP F&R standard configuration file, that is, theconfig.ini if the DIF identifier is set as only relevant for fresh products in Customizing (see chapter 3.3.3). Attribute Implementation Name Implementation Short Text Definition Name Interface Name Method Implementing Class Value /FFIS/FRPROD_FILTER Filter out DIFs forconfig.ini only relevant for fresh products /FRE/FU_FRP_BADI_002 /FRE/IF_EX_FU_FRP_BADI_002 CHANGE_PARAMETERS /FFIS/CL_IM_FRPROD_FILTER BAdI /FRE/FU_FRP_BADI016 The two methods of this BAdI definition are used to filter DIF occurrences on location level as well as on location product level. With this implementation it is ensured that DIF occurrences that are only relevant for fresh products are not written into the SAP Forecasting and Replenishment for Retail standard files. Fresh product specific occurrences are provided in add-on specific outbound files. Attribute Enhancement Implementation Implementation Short Text Definition Name Interface Name Value /FFIS/FRPDIF_FILTER Filter DIFs for fresh product solution /FRE/FU_FRP_BADI016 /FRE/IF_FRP_BADI SAP SE or an SAP affiliate company. All rights reserved. 35