Cross-Dock Modeling And Simulation Output Analysis
|
|
- Bryce Brooks
- 6 years ago
- Views:
Transcription
1 Cross-Dock Modeling And Simulation Output Analysis Mehdi Charfi
2 Abstract Cross-docking is a consolidation practice in logistics that facilitates the transfer and sorting of products from suppliers to distribution centers, eliminating warehouse holding, minimizing costs, and allowing for the realization of more efficient deliveries. There are several logistic and integration problems inherent in the cross-docking process, including scheduling uncertainty, inefficient staffing and record keeping, and limited integration of statistical data. The previous phases of this project have addressed the design of a computer-based discrete event simulation model (Intelligent Transportation System) of a freight cross-dock facility. In this phase of the project, the discrete event simulation model will be exercised with realistic data in the form of matrices that describe originating truck arriving volumes. Upon creating a realistic model of the cross-docking facility, the model and simulation will be analyzed to determine suitability and rationality. With this foundation in place, simulation and optimization models can assist a given cross-dock facility in realizing optimization benefits in areas including door assignment, expansion, and productivity. 2
3 Background and Introduction Cross-docking is a logistics technique used in the retail and trucking industries to rapidly consolidate shipments from disparate sources and realize economies of scale in outbound transportation. Cross-docking essentially eliminates the costly inventory-holding functions of a warehouse, while still allowing it to serve its consolidation and shipping functions. 2 As illustrated in Figure 1 below, the idea is to transfer shipments directly from incoming to outgoing truck trailers, without in between storage. Goods typically spend less than 24 hours in the cross-dock, sometimes less than an hour. With the process of moving shipments from the receiving dock (strip door) to the shipping dock (stack door), bypassing storage, cross-docking reduces inventory carrying cost, transportation cost, and other costs associated with material handling. 2 Figure 1. Cross-docking Diagram 3
4 Cross-docking presents an extremely valuable advantage for many companies. It has become a front-line business strategy for those looking to move products in and out of the warehouse in the most cost-effective, efficient, and timely manner possible. The proper processes, systems, and supply chain relationships must be in place to successfully cross-dock on a large scale. Among these necessary systems include: automated material handling, warehouse management systems (WMS), order processing systems, quality controls systems, and strong relationships between supply chain partners. Ultimately, several factors that produce effective cross-docking are the sharing of information, clear communication, confidence in the quality and conformance of goods, and product availability. 3 In all, the outcome that all parties involved desire are driving costs out of their operations while satisfying customer demand. While cross-docking renders many benefits for the supply chain companies and vendors involved, the process contains several disadvantages. First, it is crucial for the involved partners to have the necessary storage capabilities and an adequate transport fleet to operate cross-docking. 4 Without these essential facets, the process will become overwhelming and fail to meet logistical needs. In addition, an adequate information technology system is fundamental to operating the cross-dock facility. Without the appropriate system in place, the sharing of information will be extremely complex. This could lead to the loss of crucial information and be detrimental to the communications between partners. Furthermore, cross-docking eliminates buffers in the supply chain. 4 While overall inventory is reduced, it becomes difficult for suppliers to have enough flexibility to react to demand changes without hurting customer service. Lastly, it is important to understand the 4
5 shipping costs required to properly operate through cross-docking. It might be necessary for some companies to reduce their inventory to balance out the increased costs of shipping. Overall, the ease and effectiveness of cross-docking depends on the supplier-vendor relationships and how significant the process is in the company s business model. The purpose of this portion of cross-docking research is to develop a simulation and to be able to generate truck arriving volumes, through modeling techniques, which will be used as input data for the simulation. The previous phase of research involved the design of an Intelligent Transportation System (ITS) of a freight cross-dock facility. This system was derived from the need to improve the efficiency and transparency of the cross-docking process. The system was structured around a centralized database named The Efficient Dynamic Display of Incoming Exchanges (EDDIE). A modular interface was developed and integrated with an existing container management system and data terminals at the freight checking stations. 1 The database established data connections that streamlined daily operations, increased transparency, and performed more accurate labor calculations for the cross-dock facility. By increasing the facility s access to archived data, the system established the necessary groundwork for the optimization endeavors of the current phase of this research project. 5
6 Methods After understanding the background information of the project as well as its relevance, several objectives were set for this research project. These objectives are listed below: Researching the cross-dock system Gathering realistic data Construct a statistical model using the realistic data Formatting realistic data to the inputs required by ExtendSim software Applying statistical techniques to ensure that simulation results and conclusions are adequately verified The primary aim of this project was to develop and format a model of the crossdocking facility to be used as input data for a simulation which was created using ExtendSim (simulation software). The model should be able to be randomized so that it can produce sample days, and weeks, of operations. Given a sample matrix of data representing incoming item volume from one day of cross-dock operations, a statistical model was developed through assumptions, intuition, and statistical techniques. Realistically, this sample data represents the average item volumes of a given cross-dock facility. However, to render the best quality of data, the cross-dock facility will provide numerous data sheets so that this data can be properly analyzed and used to create sample data sets with more accurate means and standard deviations. Therefore, with the absence of such a source, it became essential to create a model that makes the most sense in the absence of data. 6
7 After examining a sample daily volume flow matrix, several statistical distributions were considered in creating a model for the data. Among these were the Gaussian (normal) distribution, the exponential distribution, and the Weibull distribution. The Gaussian distribution was found to present a more accurate representation of the sample data through trial-and-error methods, so the other two distributions were ignored. A significant assumption made was that each item in the 50-by-50 matrix (Figure 2) serves as the mean for the specific origin-destination point. Through Microsoft Excel analysis, the standard deviations were found by treating each set of data (column in matrix) for a particular destination as the determining factor. The standard deviation for the set of destination values was used as the standard deviation for each item in that set. While this is somewhat unrealistic, it can be very difficult to accurately determine the performance of the cross-dock facility without facility-specific data. Now with all the necessary statistical information in place, Microsoft Excel can be used to create the model. The formula below was the key to forming the model, as it inputs the means and standard deviations while outputting a sample data point for each origin-destination item. =INT( NORMINV( RAND(), MEAN, STANDARD DEVIATION )) As shown in Figure 2, the columns represent different destinations used by the crossdock facility, while the rows represent different origins. Each value shown represents a specific mean for that explicit origin-destination pair. Standards deviations for each item were found by computing the standard deviations of each column. Using these means and standard deviations, as well as a normal distribution, sample data sets can be formulated to complete the statistical model. Using Microsoft Excel, and the formula shown above, a new 50-by-50 7
8 matrix can be developed to serve as a sample day of operations for the cross-dock facility and input data for the ExtendSim simulation. Figure 2. Portion of 50-by-50 Daily Volume Flow Matrix between Origins and Destinations Results Due to insufficient realistic data, the data from the 50-by-50 daily flow matrix has served as the mean for the desired sample data. Furthermore, the standard deviations have been calculated from the data to assist in creating new sample data sets. Using Microsoft Excel and several statistical assumptions, a model was formed to randomize a day s worth of input data. To validate the model, 200 new columns were generated to replicate the incoming truck volume for the first destination. With these columns in place, 200 sample one day data sets have been created for a specific column. Ideally, the means of each row in the column will match the original data that was received. As shown in Figure 3, the average of 8
9 each row was taken and compared to the original data. Furthermore, to simplify the recognition of accuracy, the difference between the two columns is shown. According to what was produced, the means of the rows of the sample data is very similar to the original column for incoming truck volume. These similarities validate the methods used in creating the model in accordance with the assumptions made throughout the process. Figure 3. Validation of the Model 9
10 Discussion Throughout the course of this research, several significant issues developed that have proved to be difficult obstacles to overcome. The most noteworthy of these challenges is the insufficient amount of data received to aid in the modeling process. Through in depth research on the cross-docking technique, along with the use of statistical theories, a sample volume flow matrix was used to create sample data sets replicating one day of operation. Ideally, numerous data sets will be retrieved in the future so that the model could be more realistic and accurate to the cross-dock facility s performance. However, with this obstacle, more emphasis had to be placed on a theoretical approach to the problem. Several theories were discussed until our methods became reasonable. However, further work can certainly be done to improve the current model pending collaboration with the cross-dock facility and the collection of more data from that particular facility. The more data availability from the cross-dock, the more accurate our model and simulation can be. Future Work Using computer programming techniques, the developed model can be used as input data for the ExtendSim simulation. The simulation will be able to input specific data and run a realistic animation of the operations of the cross-dock facility. Further communication with the cross-dock facility is crucial to improving the current model to develop a more realistic model. Once the model is synchronized with the simulation, the final simulation and model will allow any given cross-dock facility to realize optimization benefits in areas including door assignment, expansion, and productivity. 10
11 References [1] Improving Cross-docking Efficiency through the Use of ITS Technology. Jeffries, Jacci, Kennedy, Ciara, Zheng, Lisa [2] Algorithms for the Cross-dock Door Assignment Problem. Hahn, Peter M., Zhu, Yi-Rong, Guignard, Monique, Liu, Ying, Pessoa, Artur A., de Azevedo, Guilherme H.I [3] Cross-Docking: Bypassing Storage. Vink, Jerry. April, 26, Multichannel Merchant. [4] Bartholdi, John J., and Kevin R. Gue. "The Best Shape for a Crossdock." Transportation Science Volume 38.2 (2004): Pages Acknowledgements Dr. Peter Hahn Dr. Monique Guinard Mr. Frederick Abiprabowo Ms. Sarah Murphy Ms. Cora Ingrum 11
Final Report. Cross-docking Operations. Anticipating Labor and Processing Needs of Cross-dock Operations. December 28, Frederick Abiprabowo
Final Report Cross-docking Operations Anticipating Labor and Processing Needs of Cross-dock Operations December 28, 2012 Frederick Abiprabowo Table of Contents Acknowledgement... 3 1. Introduction... 4
More informationLecture 09 Crossdock: Just In Time Warehouse
.. Lecture 09 Crossdock: Just In Time Warehouse Oran Kittithreerapronchai 1 1 Department of Industrial Engineering, Chulalongkorn University Bangkok 10330 THAILAND last updated: December 29, 2014 Warehouse
More informationSCALE SUPPLY CHAIN TECHNOLOGY THAT S SCALED TO FIT AND READY TO RUN MANHATTAN
MANHATTAN SCALE SUPPLY CHAIN TECHNOLOGY THAT S SCALED TO FIT AND READY TO RUN Today s commerce revolution has created unprecedented challenges for companies seeking to meet the ever-changing demands of
More informationPROMAT S LATEST & GREATEST
PROMAT S LATEST & GREATEST John Hill St. Onge Company John Sarinick Beumer Corporation Session 108 Sponsored by: 2015 MHI Copyright claimed for audiovisual works and sound recordings of seminar sessions.
More informationManhattan SCALE. Supply Chain Technology That s Scaled to Fit and Ready to Run
Manhattan SCALE Supply Chain Technology That s Scaled to Fit and Ready to Run TODAY S COMMERCE REVOLUTION HAS CREATED unprecedented challenges for companies seeking to meet the ever-changing demands of
More informationCOMPARISON OF TWO CROSSDOCKING LAYOUTS AT A JIT MANUFACTURER
COMPARISON OF TWO CROSSDOCKING LAYOUTS AT A JIT MANUFACTURER Dr. Karina Hauser, Utah State University, khauser@b202.usu.edu Dr. Chen Chung, University of Kentucky, bad180@pop.uky.edu ABSTRACT In this study,
More informationOPERATIONAL-LEVEL OPTIMIZATION OF INBOUND INTRALOGISTICS. Yeiram Martínez Industrial Engineering, University of Puerto Rico Mayagüez
OPERATIONAL-LEVEL OPTIMIZATION OF INBOUND INTRALOGISTICS Yeiram Martínez Industrial Engineering, University of Puerto Rico Mayagüez Héctor J. Carlo, Ph.D. Industrial Engineering, University of Puerto Rico
More informationIMPROVE CUSTOMER SERVICE! KEEP YOUR COSTS DOWN! MINMIZE YOUR SPACE! NOW!!!
CDI WMS is a complete Warehouse Management System (WMS), not a stock locator or asset management package. It was designed to control the entire operation of any warehouse from 30,000 sq. ft to 1,000,000
More informationMANHATTAN ACTIVE SUPPLY CHAIN TRANSPORTATION THE RIGHT SOLUTION FOR COMPLEX LOGISTICS NETWORKS
MANHATTAN ACTIVE SUPPLY CHAIN TRANSPORTATION THE RIGHT SOLUTION FOR COMPLEX LOGISTICS NETWORKS ACTIVE, OPTIMIZED TRANSPORTATION MANAGEMENT Logistics complexities and service-level expectations have increased
More informationCDAP Simulation Report
CDAP TEAM CDAP Simulation Report Zongze Chen 21/5/13 Contents Acknowledgement... 3 I. Introduction... 4 II. Cross-dock Process... 6 1. General Process... 6 2. NRS Cross-dock Process... 7 III. Model Development...
More informationTHE VALUE OF DISCRETE-EVENT SIMULATION IN COMPUTER-AIDED PROCESS OPERATIONS
THE VALUE OF DISCRETE-EVENT SIMULATION IN COMPUTER-AIDED PROCESS OPERATIONS Foundations of Computer Aided Process Operations Conference Ricki G. Ingalls, PhD Texas State University Diamond Head Associates,
More informationCross-Docking. in the Global Supply Chain Northbrook Drive, Suite 100, Trevose, PA
The Rise of Cross-Docking in the Global Supply Chain www.airclic.com 900 Northbrook Drive, Suite 100, Trevose, PA 19053 866-707-2542 Table of Contents The rise of cross-docking... 01 Faster delivery expectations
More informationStreamline Retail Processes with State-of-the-Art Master Data Governance
SAP Brief SAP s for Enterprise Information Management SAP Master Data Governance, Retail and Fashion Management Extension by Utopia Streamline Retail Processes with State-of-the-Art Master Data Governance
More informationPlanning Optimized. Building a Sustainable Competitive Advantage WHITE PAPER
Planning Optimized Building a Sustainable Competitive Advantage WHITE PAPER Planning Optimized Building a Sustainable Competitive Advantage Executive Summary Achieving an optimal planning state is a journey
More informationStorage and Warehousing System. Storage & Warehouse Fundamentals 27/03/2018. Transportation-Production Cost Reduction. Reasons for Storage
Storage and Warehousing System Storage & Warehouse Fundamentals Reasons for Storage 1. To reduce transportation-production cost 2. To coordinate supply and demand 3. To assist in the production process
More informationBRIGHT SUITE Optimize Fulfillment with Deposco
BRIGHT SUITE Optimize Fulfillment with Deposco Cloud-Based Order Management & Omnichannel Fulfillment Solutions to Solve Your Supply Chain Challenges Deposco, Inc. 4800 North Point Parkway Suite 100 Alpharetta,
More informationInfor SCM (Supply Chain Management) > Warehouse Management
Management The right stuff for end-to-end fulfillment and distribution. Experts estimate that 20% of all orders are filled imperfectly. Thus, the ability to meet customer demand by getting the right products
More informationA simulation model of a retail distribution centre with RFID technology
A simulation model of a retail distribution centre with technology Hellström, Daniel 2003 Link to publication Citation for published version (APA): Hellström, D. (2003). A simulation model of a retail
More informationWAREHOUSING:- CONCEPT OF WAREHOUSING:-
WAREHOUSING:- Warehousing is that part of a firm s logistics system that stores products (raw materials, parts, goods-in-process, finished goods) at & between point-of-origin & point-of consumption, &
More informationLOGISTICS FOR CONSIGNEE, CONSOLIDATOR SHIPPER AND CARRIER
USED AT: AUTHOR: Marge Petersen, DAMA Project DATE: 11/26/97 REV: 1/14/99 TOP UCC Standards EDI Standards HazMat and DOT Regulations 850 Purchase Order LOGISTICS FOR CONSIGNEE, CONSOLIDATOR SHIPPER AND
More informationAN INTEGRATED MODEL OF CROSS DOCKING. A Thesis. presented to. the Faculty of the Graduate School. at the University of Missouri-Columbia
AN INTEGRATED MODEL OF CROSS DOCKING A Thesis presented to the Faculty of the Graduate School at the University of Missouri-Columbia In Partial Fulfillment of the Requirements for the Degree Master of
More informationCROSS-DOCKING: SCHEDULING OF INCOMING AND OUTGOING SEMI TRAILERS
CROSS-DOCKING: SCHEDULING OF INCOMING AND OUTGOING SEMI TRAILERS 1 th International Conference on Production Research P.Baptiste, M.Y.Maknoon Département de mathématiques et génie industriel, Ecole polytechnique
More informationINSIGHTS. Demand Planner for Microsoft Dynamics. Product Overview. Date: November,
INSIGHTS Demand Planner for Microsoft Dynamics Product Overview Date: November, 2007 www.microsoft.com/dynamics Contents Demand Planning for Business... 1 Product Overview... 3 Multi-dimensional Data Visibility...
More informationSAP Supply Chain Management
Estimated Students Paula Ibanez Kelvin Thompson IDM 3330 70 MANAGEMENT INFORMATION SYSTEMS SAP Supply Chain Management The Best Solution for Supply Chain Managers in the Manufacturing Field SAP Supply
More informationNavegate TM Supply Chain Visibility Improves Efficiencies, Cuts Costs. Case Study: Northern Tool + Equipment
Navegate TM Supply Chain Visibility Improves Efficiencies, Cuts Costs Case Study: Northern Tool + Equipment 10/2015 02 Navegate TM Supply Chain Visibility Improves Efficiencies, Cuts Costs Case Study:
More informationOUTSOURCED STORAGE AND FULFILLMENT FACILITY TO ENHANCE THE SERVICE CAPABILITIES OF SHOPPING MALL TENANTS
OUTSOURCED STORAGE AND FULFILLMENT FACILITY TO ENHANCE THE SERVICE CAPABILITIES OF SHOPPING MALL TENANTS Zachary Montreuil University of North Carolina at Charlotte Mike Ogle, Ph.D. University of North
More informationThe ORP Process When developing new opportunities Shell Exploration and Production (EP) uses the Opportunity Realization
Summary This rapport describes the development of the Logistic Concept modelling tool for the Shell Exploration and Production division, and more specifically, for the Logistics and Infrastructure group
More informationWhite Paper Series Food Logistics Industry Report
White Paper Series 2007 Food Logistics Industry Report This industry-wide report identifies common practices, challenges, and emerging trends within the U.S. food logistics industry. Introduction During
More informationEVALUATE LABELING SYSTEM? IS IT TIME TO YOUR A GUIDE TO CHANGE MANAGEMENT
IS IT TIME TO EVALUATE YOUR LABELING SYSTEM? A GUIDE TO CHANGE MANAGEMENT F O R H E A LT H C A R E TEKLYNX Americas 409 E. Silver Spring Drive Suite U12 Whitefish Bay, WI 53217 USA WWW.TEKLYNX.COM Tel:
More informationQuestion 1: Why would a company be interested in transportation-oriented supply chain metrics?
Question 1: Why would a company be interested in transportation-oriented supply chain metrics? Answer 1: Any company that buys from a supplier or ships products to a customer should be interested in transportation-oriented
More informationBusiness case studies. (Logistic and production models)
Business case studies (Logistic and production models) 1. Logistics planning in the food industry The logistic system of the food manufacturing company consists of a network whose nodes represent suppliers
More informationSupply Chain MICROSOFT BUSINESS SOLUTIONS DEMAND PLANNER
Supply Chain MICROSOFT BUSINESS SOLUTIONS DEMAND PLANNER DEMAND PLANNING FOR BUSINESSES Demand planning is the first step towards business planning. As businesses are moving towards a demand-centric environment
More informationWholesale Distribution Industry KPIs that Matter
Wholesale Distribution Companies Run Better on NetSuite. Wholesale Distribution Industry KPIs that Matter Sponsored by Results from Businesses Like Yours Business Visibility 360 o Visibility & Actionable
More informationShipping & Mailing Outbound and Inbound Package Management. SendSuite Live. Global logistics management made easy.
Shipping & Mailing Outbound and Inbound Package Management SendSuite Live Global logistics management made easy. Managing an outbound shipping operation is a big expense, regardless of your operation s
More informationOVERVIEW. Fulfillment. Inside and outside the box. Fulfillment. Inside and outside the box.
OVERVIEW Taylored Services. Thinking like a box. Since our humble beginnings in New Jersey in 1992, Taylored Services has grown to become a national leader in distribution, fulfillment and warehousing.
More informationTRANSPORTATION MANHATTAN ACTIVE. A Comprehensive Solution for Complex Logistics Networks. With Manhattan Active Transportation you can:
MANHATTAN ACTIVE TRANSPORTATION A Comprehensive Solution for Complex Logistics Networks LOGISTICS COMPLEXITIES AND SERVICE-LEVEL EXPECTATIONS have increased dramatically in today s world. Supply chains
More informationM I C R O S O F T B U S I N E S S S O L U T I O N S N A V I S I O N 1
WAREHOUSE MANAGEMENT SYSTEMS Microsoft Business Solutions Navision Warehouse Management Systems saves your business time and money through efficient warehouse processes. Key Benefits: Reduces your warehouse
More informationDesigning Full Potential Transportation Networks
Designing Full Potential Transportation Networks What Got You Here, Won t Get You There Many supply chains are the product of history, developed over time as a company grows with expanding product lines
More informationWhite paper WM versus EWM: Receiving and Putaway
www.sapstroom.com White paper WM versus EWM: Receiving and Putaway The luxury of the choice Since 2006 SAP has enriched its SCM (supply chain management) portfolio with a new warehouse management solution,
More informationSIX MONTHS TO A STRONGER OPERATION
SIX MONTHS TO A STRONGER OPERATION OVERALL OPERATIONAL EFFICIENCY YOUR SYSTEM, ONLY BETTER. www.dlneu.com (616) 538-0638 WELCOME The January edition of D.L. Neu s series, Six Months to a Stronger Operation,
More informationThe Best Shape for a Crossdock
The Best Shape for a Crossdock John J. Bartholdi, III The Logistics Institute School of Industrial & Systems Engineering Georgia Institute of Technology Atlanta, GA 30332-0205 john.bartholdi@isye.gatech.edu
More informationIMPROVING ACCURACY IN YOUR SUPPLY CHAIN
REAL WORLD SCENARIOS Volume 2 Cases 4-6 IMPROVING ACCURACY IN YOUR SUPPLY CHAIN DOING WHAT MATTERS CONNECTED INFORMATION AND MANAGEMENT INFRASTRUCTURE CUSTOMER RESPONSIVENESS CREATING A SUSTAINED RHYTHM
More informationRFID for Manufacturing: Critical Success Factors.
RFID for Manufacturing: 7 Critical Success Factors. Transforming RFID Data into Value RFID for Manufacturing: 7 Critical Success Factors. Innovative manufacturers are leveraging the real-time visibility
More informationProduct Flow Path Design Because One Size Doesn t Fit All
Product Flow Path Design Because One Size Doesn t Fit All Imagine your business with only one product purchased from just one supplier and distributed to a single customer who orders the same quantity
More informationYour connection to a network of shipping industry services.
Your connection to a network of shipping industry services. SHIPPING NO SMALL CHANGE Managing an outbound shipping operation is big business regardless of your operation s size. Transportation costs can
More informationThe cotton warehousing industry adds value to the
The Journal of Cotton Science 21:167 174 (2017) http://journal.cotton.org, The Cotton Foundation 2017 167 ENGINEERING AND GINNING Improving Cotton Warehousing Efficiencies through Novel Bale Marketing
More informationReducing Cycle Time in Reverse Logistics
Reducing Cycle Time in Reverse Logistics by Donna Retzlaff-Roberts Mark N. Frolick The University of Memphis Executive Summary While products in the typical supply chain move forward toward the ultimate
More informationRFID: ROI Opportunities after the Sunk Cost. Teodor D. Simeonov
RFID: ROI Opportunities after the Sunk Cost By Teodor D. Simeonov Submitted to the Department of Civil and Environmental Engineering in partial fulfillment of the requirements for the degree of Master
More informationApplication of Information System in Warehouse Management
2017 2 nd International Conference on Computer Engineering, Information Science and Internet Technology (CII 2017) ISBN: 978-1-60595-504-9 Application of Information System in Warehouse Management YAOQIN
More informationPharmacy Chain Cuts Order Turnaround Time in Half with Mobile RFID Workflow Solution
Microsoft BizTalk Server Customer Solution Case Study Pharmacy Chain Cuts Order Turnaround Time in Half with Mobile RFID Workflow Solution Overview Country or Region: India Industry: Pharmaceuticals Customer
More informationWorld Rural Observations 2017;9(3) Developing a New Mathematical Model for Scheduling Trucks in Cross-Docking Systems
Developing a New Mathematical Model for Scheduling Trucks in Cross-Docking Systems Rashed Sahraeian, Mohsen Bashardoost Department of Industrial Engineering, Shahed University, Tehran, Iran Sahraeian@shahed.ac.ir,
More informationOperation and supply chain management Prof. G. Srinivasan Department of Management Studies Indian Institute of Technology Madras
Operation and supply chain management Prof. G. Srinivasan Department of Management Studies Indian Institute of Technology Madras Lecture - 37 Transportation and Distribution Models In this lecture, we
More informationPharmacy Chain Cuts Order Turnaround Time in Half with Mobile RFID Workflow Solution
Microsoft BizTalk Server Customer Solution Case Study Pharmacy Chain Cuts Order Turnaround Time in Half with Mobile RFID Workflow Solution Overview Country or Region: India Industry: Pharmaceuticals Customer
More informationCERTIFIED WAREHOUSING AND STOREKEEPING COURSE
CERTIFIED WAREHOUSING AND STOREKEEPING COURSE Unic Foundation Entrepreneurship Training Manual Page 1 1.0.WAREHOUSING Warehousing refers to the activities involving storage of goods on a large-scale in
More informationTOMORROW S WAREHOUSE MANAGEMENT, TODAY
Oracle Warehouse Management Enterprise Edition Cloud introduces a new paradigm in supply chain execution solutions: robust extended warehouse at significantly lower total cost of ownership. Oracle Warehouse
More informationTopics in Supply Chain Management. Session 3. Fouad El Ouardighi BAR-ILAN UNIVERSITY. Department of Operations Management
BAR-ILAN UNIVERSITY Department of Operations Management Topics in Supply Chain Management Session Fouad El Ouardighi «Cette photocopie (d articles ou de livre), fournie dans le cadre d un accord avec le
More informationUSE OF DYNAMIC SIMULATION TO ANALYZE STORAGE AND RETRIEVAL STRATEGIES
Proceedings of the 1999 Winter Simulation Conference P. A. Farrington, H. B. Nembhard, D. T. Sturrock, and G. W. Evans, eds. USE OF DYNAMIC SIMULATION TO ANALYZE STORAGE AND RETRIEVAL STRATEGIES Mark A.
More informationSupply Chain Management
A Seminar report On Supply Chain Management Submitted in partial fulfillment of the requirement for the award of degree Of MBA SUBMITTED TO: SUBMITTED BY: Acknowledgement I would like to thank respected
More informationBusiness Plan. Distribution Strategies. McGraw-Hill/Irwin. Copyright 2008 by The McGraw-Hill Companies, Inc. All rights reserved.
Business Plan Distribution Strategies McGraw-Hill/Irwin Copyright 2008 by The McGraw-Hill Companies, Inc. All rights reserved. 7.1 Introduction Focus on the distribution function. Various possible distribution
More informationOmnichannel Challenges
Omnichannel Challenges One of the biggest challenges for the omnichannel retailer today is the need to keep pace with both the growing demand for low line count orders and the unpredictable and fluctuating
More informationItem Tracking in Microsoft Dynamics
Item Tracking in Microsoft Dynamics NAV 2013 Technical White Paper Item Tracking... 1 Item Tracking Design... 2 Item Tracking Posting Structure... 3 One-to-Many Relation... 3 Codeunits 80 and 90... 3 Posting
More informationOperational Excellence with an Integrated Supply Chain
Welcome to Session 227 Operational Excellence with an Integrated Supply Chain Jennifer Sherman Senior Director, Applications Strategy, Oracle Corporation Presented by: Tom Singer Principal, Tompkins Associates
More informationAutomate Processes from Terminal to End Consumer and Manage Retail Fuels Business
SAP Solution in Detail SAP for Oil & Gas Secondary Distribution and Fuels Retailing Automate Processes from Terminal to End Consumer and Manage Retail Fuels Business Table of Contents 3 Quick Facts 4 Automate
More informationYOUR BEST WAREHOUSE MANAGEMENT SYSTEM: GETTING MAXIMUM VALUE FROM YOUR WAREHOUSE AND YOUR FUNCTIONAL AREAS
YOUR BEST WAREHOUSE MANAGEMENT SYSTEM: GETTING MAXIMUM VALUE FROM YOUR WAREHOUSE AND YOUR FUNCTIONAL AREAS Ultra Consultants 847.692.6485 www.ultraconsultants.com 1 CONTENTS Executive Summary The Case
More informationChapter 14. Simulation Modeling. Learning Objectives. After completing this chapter, students will be able to:
Chapter 14 Simulation Modeling To accompany Quantitative Analysis for Management, Eleventh Edition, by Render, Stair, and Hanna Power Point slides created by Brian Peterson Learning Objectives After completing
More informationTrends in Packaging. December Sponsored by:
Trends in Packaging Automation December 2013 Sponsored by: Conducted by: On behalf of: Assessing packaging s impact on supply chain performance The efficient execution of a supply chain operation begins
More informationMcCain Foods Limited North American Customer Pickup Policy version 1.0
PURPOSE This Customer Pickup Policy ( CPU Policy ) sets forth the requirements which McCain Foods USA, Inc.; McCain Foods (Canada) and its affiliates (collectively, McCain ) requires of those Customers/Distributors
More informationCatapult Whitepaper: The Changing Role of Technology in Managing the Logistics Process
Catapult Whitepaper: The Changing Role of Technology in Managing the Logistics Process 1 Not too long ago it was very common for companies, even large ones, to manage their supply chain through manual
More informationWarehousing & Distribution
WAREHOUSING Weighing products for all facets of warehouse operations. Warehousing & Distribution WEIGHING SYSTEMS Scales & systems designed for the busy, demanding warehouse environment Weighing the Warehouse
More informationHow to Plan and Manage Warehouse Operations
How to Plan and Manage Warehouse Operations How to Plan and Manage Warehouse Operations Second Edition Thomas P. Cullinane James A. Tompkins Jerry D. Smith Contents About This Course How to Take This
More informationA Holistic Approach to Source-to-Pay
A Holistic Approach to Source-to-Pay Featuring insights on... Pains of Segmented Source-to-Pay Streamlining the Supply Chain Case Study: Outerwear Company Contents Introduction 3 Unifying Segmented Source-to-Pay
More informationMODELS FOR PERFORMANCE ANALYSIS OF A CROSS-DOCK
The Pennsylvania State University The Graduate School Harold and Inge Marcus Department of Industrial and Manufacturing Engineering MODELS FOR PERFORMANCE ANALYSIS OF A CROSS-DOCK A Thesis in Industrial
More informationInnovative Solutions. Endless Possibilities.
Innovative Solutions. Endless Possibilities. INTRODUCTION The Santova Group is a specialist international trade solutions business listed on the Main Board of the South African Securities Exchange with
More informationFreight Shipping Guide for Small Businesses
Freight Shipping Guide for Small Businesses Understand how it works, and how to get the best pricing. Learn the following about freight shipping: How it works Industry trends How it is priced How it is
More informationTHE UNDERESTIMATED VALUE OF
THE UNDERESTIMATED VALUE OF DOCK SCHEDULING Beneath the automated schedules, communications features, and web portals lies a hidden feature that will transform your business. WHITE PAPER By Gregory Braun,
More informationMomentum Warehouse Execution System
Warehouse Execution System Warehouse Execution. Simplified. Every day, your fulfillment requirements become more complex. As customer expectations rise and cycle times get shorter, your business is under
More informationLeveraging GDS to Automate Data Synchronization. Lessons Learned at The Clorox Company
Leveraging GDS to Automate Data Synchronization Lessons Learned at The Clorox Company 2 TABLE OF CONTENTS 1 Case Study...3 2 Summary...10 3 About TIBCO...12 3 Executive Summary Clorox demonstrates how
More informationWarehousing & Distribution
Weighing products for all facets of warehouse operations. Warehousing & Distribution WEIGHING SYSTEMS Scales & systems designed for the busy, demanding warehouse environment Weighing the Warehouse Warehousing
More informationOptimising Inbound, Warehousing and Outbound Strategies
Warehouse Management EXECUTIVE SUMMARY Optimising Inbound, Warehousing and Outbound Strategies Control the movement of stock within a warehouse or across multiple facilities. Process associated transactions
More informationThe Chemical Strategies Partnership Methodology & First Steps
The Chemical Strategies Partnership Methodology & First Steps 3. Documenting Baseline Data: Why and How 3.2 First Steps: Baseline Chemical Use 3.3 and Purchase Cost What Comes Next? 3.3 DOCUMENTING BASELINE
More informationINET TRANSPORTATION MANAGEMENT THE LEADING TMS FOR GLOBAL OPERATIONS AND COMPLEX TRANSPORTATION NETWORKS
INET TRANSPORTATION MANAGEMENT THE LEADING TMS FOR GLOBAL OPERATIONS AND COMPLEX TRANSPORTATION NETWORKS INET CONNECTS YOU AND YOUR LOGISTICS ECOSYSTEM Cloud Platform Orders, Deliveries, Shipments, Status
More informationDiscussion Paper. Third Party Warehouse Management System. Questions to ask yourself and your vendor when selecting a. Prepared by: Ian Cameron
Discussion Paper Questions to ask yourself and your vendor when selecting a Third Party Warehouse Management System Prepared by: Ian Cameron IngenX Business Systems Ltd. The Developers of MAXwms 3177-188
More informationThe Value of Strategically Sourced Sub-Assembly. Outsourced sub-assembly creates measurable savings and fulfillment flexibility.
The Value of Strategically Sourced Sub-Assembly. Outsourced sub-assembly creates measurable savings and fulfillment flexibility. Introduction Strategic Sourcing of Value-Added Assembly provides benefits
More informationORACLE HYPERION PLANNING
ORACLE HYPERION PLANNING KEY FEATURES AND BENEFITS KEY FEATURES: Multi-dimensional / multi user planning with a powerful business rules engine Flexible workflow and plan management capabilities Comprehensive
More informationNEW BUSINESS MODELS AND FLOWS THE FUTURE OF TRANSPORT
NEW BUSINESS MODELS AND FLOWS THE FUTURE OF TRANSPORT BRUSSELS, MAY 9, 2018 Multimodal Year 2018 The Future of Transport The logistics industry is under pressure INCREASING CLIENT DEMANDS Cost pressure
More informationIS A WAREHOUSE MANAGEMENT SYSTEM RIGHT FOR YOUR BUSINESS
F. Curtis Barry & Company IS A WAREHOUSE MANAGEMENT SYSTEM RIGHT FOR YOUR BUSINESS F. Curtis Barry & Company 1 Management has decided to upgrade its Order Management System (OMS). The company will look
More informationSort it out! Making smart sortation automation decisions. Satyen Pathak, senior product manager
Sort it out! Making smart sortation automation decisions Satyen Pathak, senior product manager Sort it out! Making smart sortation automation decisions Satyen Pathak, senior product manager 2 Copyright
More informationTURN YOUR WAREHOUSE ON ITS HEAD. Improve Productivity, Quality and Safety from the Ground Up
TURN YOUR WAREHOUSE ON ITS HEAD Improve Productivity, Quality and Safety from the Ground Up TURN YOUR WAREHOUSE ON ITS HEAD Improve Productivity, Quality and Safety from the Ground Up 62 85 71 86 70 62
More informationSupply Chain Execution Supply Chain Execution for Microsoft DynamicsTM AX
Supply Chain Execution Supply Chain Execution for Microsoft DynamicsTM AX A solution tailored specifically for wholesale distribution organizations Supply Chain Execution for Microsoft DynamicsTM AX helps
More information5 important steps: Why it s time to move to integrated ERP software
5 important steps: Why it s time to move to integrated ERP software The past decade has brought extraordinary changes to the way we do business. The internet has matured, mobile devices are part of everyday
More informationWarehousing & Distribution
Weighing products for all facets of warehouse operations. Warehousing & Distribution WEIGHING SYSTEMS Scales & systems designed for the busy, demanding warehouse environment Weighing the Warehouse Warehousing
More informationEpicor for Distribution
Epicor for Distribution As a distributor, you know that employing a powerful technology strategy is a key to success and to staying ahead of the competition, which seems to get more sophisticated every
More informationThe Retail Execution Gap
The Retail Execution Gap From Loading Dock to POS Flowfinity Wireless Inc. 7400-515 West Hastings St. Vancouver, BC V6B 5K3 tel (604) 878-0008 email sales@flowfinity.com twitter @flowfinity web www.flowfinity.com
More informationJaguar Sprints Forward
Case Study Jaguar Sprints Forward Company Jaguar Cars Ltd / NYK Logistics (UK) Manufacturing and Retail Ltd Location: Halewood, Merseyside Fleet: Accessible Fleet Pool of 400 Disclaimer: While the Department
More informationNow to get back to today s topic and the points I d like to make.
Opening Statement Terri-Anne Crawford Vice President and Chief Operating Officer Franwell, Inc. Before the Committee on Health, Education, Labor, and Pensions November 15, 2006 Mr. Chairman and Mr. Ranking
More informationDayton Freight Lines Improves MPG, Stops per Hour, and Customer Service with Driver Workflow.
Case Study Driver Workflow Dayton Freight Lines Improves MPG, Stops per Hour, and Customer Service with Driver Workflow. Moving ahead in the transportation industry today requires more than dedicated management
More informationCentral vs. Distributed Stocks: Trends in Logistic Network Design
Central vs. Distributed Stocks: Trends in Logistic Network Design Northeast Supply Chain Conference Cambridge, MA 2004 Bruce True, Welch s and Michael Watson, Logic Tools 1 Agenda Introduction to Network
More informationLogistics & Supply Chain Management. Improve Local Component Manufacturing Supply Chain Competitiveness
Logistics & Supply Chain Management Improve Local Component Manufacturing Supply Chain Competitiveness Executive Summary Logistics is a key part of Nissan South Africa s business. Nissan South Africa significantly
More informationCHAPTER 3 ENTERPRISE SYSTEMS ARCHITECTURE
CHAPTER 3 ENTERPRISE SYSTEMS ARCHITECTURE 1 Learning Objectives Examine in detail the enterprise systems modules and architecture. Understand the effects of a well-designed architecture on ERP implementation.
More informationWAREHOUSE EXECUTION SYSTEMS BUYERS GUIDE
WAREHOUSE EXECUTION SYSTEMS BUYERS GUIDE BY: DAVE WILLIAMS Director of Software and Solution Delivery Westfalia Technologies, Inc. www.westfaliausa.com 717.764.1115 It s time to branch out Warehouse inefficiencies
More information