INTEGRATION OF COST MODELS IN DESIGN AND MANUFACTURING

Similar documents
Chapter Four. Process Selection

Designing and managing Organizational Interoperability with organizational capabilities and roadmaps

IBM Algo Managed Data Analytics Service

This first part of the training will be dedicated to cost analysis. The focus will be put on «how to challenge the cost breakdown given by the

SILVER-CS ERP for Industries. Marketing document

Contextual Modelling of Collaboration System

Exact Globe Next Manufacturing. User Guide

Grey and Ductile Cast Iron Components Engineered and Manufactured to your Specifications. Quality Castings. Manufactured in the UK

INNOVATIVE. ENDURING. COOPERATIVE.

CAD/CAM CHAPTER ONE INTRODUCTION. Dr. Ibrahim Naimi

CASTINGS FOR EXTREME WEAR.

7/8/2017 CAD/CAM. Dr. Ibrahim Al-Naimi. Chapter one. Introduction

AN INTRODUCTION TO USING PROSIM FOR BUSINESS PROCESS SIMULATION AND ANALYSIS. Perakath C. Benjamin Dursun Delen Madhav Erraguntla

Knowledge Management in E-commerce Mass Customization

, ERP for Ceramic

A Journey from Historian to Infrastructure. From asset to process to operational intelligence

Proposal of professional referential evaluating the performance of downstream supply chain in Moroccan automotive industry

Plastic Moulding. Optical Moulding Technical Moulding Formed-in-Place Gasketing. Plastic Moulding

Cast Iron or Aluminium: Which Cylinder Block Material is best for the Environment?

... successful composite solutions

COMPARISON OF THE ENVIRONMENTAL IMPACT OF THE CRIMSON PROCESS WITH NORMAL SAND CASTING PROCESS. Mark Jolly Manufacturing and Materials Department

Seven Ways Metals, Mining, & Materials Companies Turn Data into a Sustainable, Competitive Advantage

Industrie 4.0 How it reshuffles the economic, social and industrial model. October 2017

Press Presse Prensa. Logistics and Assembly Systems. For the Trade Press Nuremberg/Offenbach, Germany June 9, 2005 Siemens L&A Talks Europe 2005

Application of Activity-Based Costing in a Manufacturing Company: A Comparison with Traditional Costing

A MODEL BASED SYSTEMS ENGINEERING PROCESSES DEPLOYMENT FRAMEWORK

INTRODUCTION. What is Manufacturing? Materials in Manufacturing Manufacturing Processes Production Systems Organization of the Book

Understanding Manufacturing Execution Systems (MES)

AIS Electronic Library (AISeL) Association for Information Systems. Eswar Ganesan Infosys Technologies,

Master Data Management as a Global Business Service

Connecting Manufacturing Engineering and the Shop Floor

Small Consultancies Need Analytic-Driven Management Approach

Industry Digitizing the Shop Floor to Achieve Operational Excellence & Customer Successes

Global Standards Engineering Policy & Procedure

Iron by BIRN. A group of casting and machining specialists

Change Management and PLM Implementation

Industry solutions. Your partner for business solutions in production Heidelberg Industry.

KEY ISSUES in Advanced Operations Management. Timo Seppälä

Mining, Metals & Materials: Shaping Your Journey to Operational Intelligence REGIONAL SEMINARS 2015

Engineering Cost Reduction with CADENAS for Enterprise Customers of

An Info*Engine based architecture to support interoperability with Windchill system

Profit Center Planning & Analysis

Manufacturing Organization

GE Fanuc's solutions for Automation and Intelligent Production Management

STAINLESS STEEL AND STEEL CASTINGS

The SAP BusinessObjects. Supply Chain Performance

THE YIELD IMPROVEMENT TECHNOLOGY A REVOLUTIONARY TOOL FOR TOTAL QUALITY MANAGEMENT (TQM)

SHOULD YOUR BARCODE LABELING SOLUTION BE FULLY INTEGRATED WITH YOUR BUSINESS SYSTEM?

Design. Production. Service. Services

Computer Aided Process Planning using STEP Neutral File for Automotive Parts

The Aras PLM Platform

Flow Control business unit. Commitment to quality, environment, health and safety

WHITE PAPER. Control Manufacturing Costs with Odoo Open ERP

Welcome to Société des Fonderies de Treveray Facilities from Tréveray & Larians

Placing a lens on supply chain planning

Siemens PLM Software. PLM solutions for the aerospace industry. When you only have one chance to get it right. siemens.com/plm

Review of Trends in Production and. Evaluation. Prof. Paul Maropoulos Maxime Chauve Dr Catherine Da Cunha. Monday,, August 27th

Mining, Metals & Materials: Shaping Your Journey to Operational Intelligence. Copyright 2015 OSIsoft, LLC

South African Foundry Industry

Handling Chains Special Chains Galle Type Chains Sprockets Aprons.

The Callen Group of Companies. Callen Manufacturing Aluminum Die Casting

MARGIN MANAGEMENT IN THE OIL & GAS INDUSTRY WHITE PAPER

Recticel Aviation. Recticel Group. Recticel Aviation in-house product design, engineering and project management. Leader in flexible PU foam

we give shape to ideas

Activity Based Costing

Activity Based Costing

Sandvik Coromant Digital Machining Q1 2019

Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds.

Learning the ABC: case analysis of activity-based costing and profitability management

Optimal Grinding Solutions. Appointed Distributor

Simulation and implementation of Computerized Maintenance Management System (CMMS)

Infosys, Sourcing & Procurement BPO Procurement outsourcing

IMPROVE SUPPLY CHAIN THROUGH SUPPLIER RELATIONSHIP INITIATIVES

M A N U F A C T U R I N G R A N G E S S A L E S C O N T A C T S B U S I N E S S S E C T O R S

CATALOG 2017 AERONAUTICS MEDICAL SPORTS DNK

AGROCOM BIOGAS. System competence Biogas management

IBM s Analytics Transformation

Rolled billets FOR THE AUTOMOTIVE INDUSTRY, MINING, THE OIL AND GAS INDUSTRY AND GENERAL MECHANICAL ENGINEERING


FEED TO FOOD. quality & safety. Skretting Australia Quality Manual

National Inventory of Radioactive Materials and Waste The Essentials

The GRAI method Part 2: detailed modelling and methodological issues

EMEA USERS CONFERENCE BERLIN, GERMANY. Copyright 2016 OSIsoft, LLC

1 - Introduction and Overview of Manufacturing

Course Description EMME 1


R6059 Optimal White Paper Stylesheet - GR indd 1

RESOLVING APPLICATION DEVELOPMENT ISSUES USING SOA Y. KIRAN KUMAR 1, G.SUJATHA 2, G. JAGADEESH KUMAR 3

The Five Most Critical Project Metrics

Designing the production of tomorrow today. Your path to the Smart FOOD Factory with CSB

BUILDING A DIGITAL SUPPLY CHAIN

Data Lake or Data Swamp?

Management products to produce the highest return on their investment. Brian lives in Portland, OR. Brian Roepke AU

Montpellier, 13 Juillet, 2011

MARKETING AND SUPPLY CHAIN MANAGEMENT

KME ECOLOGICAL COPPER

Leveraging our global network

Planning manufacturing systems

Perpetual PERFECTION

THE POSSIBLE WAYS TO ELEVATING AND FIXING THE CONSTRAINTS IN IRONFOUNDRY PRODUCTION. Nicole KYNCL

Transcription:

INTEGRATION OF COST MODELS IN DESIGN AND MANUFACTURING Nicolas Perry, Magali Mauchand, Alain Bernard IRCCyN, 1 rue de la Noé, BP.92101, 44321 Nantes Cedex, France {Nicolas.Perry,Alain.Bernard}@irccyn.ec-nantes.fr Abstract: Key words: The costs controls in the early phase of the product life cycle, became a major asset in the competitiveness of the companies due to the world competition. After defining the problems related to this control difficulties, we will present an approach using a concept of cost entity related to the activities of the product to be designed and realized. We will try to apply this approach to the fields of the sand casting foundry. This work will highlight the enterprise modelling difficulties (limits of a global cost modelling) and some specifics limitations of the tool used for this development. Finally we will discuss on the limits of a generic approach. cost management, enterprise product - cost modelling, cost entity 1. OBJECTIVE AND BRIEF OVERVIEW OF THE PAPER In the early Seventies, studies in the United Kingdom and in the United States highlighted the strategic role of the design activities. The conclusions lead both companies and authorities towards new approaches in order to improve the economic performances of the companies. At the end of the Eighties, the paramount role of the quality in the design was reinforced in the United States by the Made in America report from the MIT Commission on the Productivity. These conclusions were confirmed in 1991, by the Improving Engineering Design: Designing for Competitive Advantage report, from the United State Nation Research Council

2 Nicolas Perry, Magali Mauchand, Alain Bernard Engineering Design Theory and Methodology. According to Perrin [1], the design phase is the key factor of the product development process. The ability to product new products with a high quality, a low cost and which fit with the customer, requests is fundamental to improve the nation competitiveness [2-3]. Consequently, the costs (and cost management from the early design to the end delivery) becomes as important as the other technical requests. Due to the global market and the world wide competition, reactivity and agility are the only way to maintain the enterprise competitiveness. This can be characterized by the ability to change its products and/or processes in a very short times and at minimal cost. The cost control, at the early stage of design, becomes a key factor of success, since it is at this phase that an average up to 70 to 80% of the end product costs are fixed (depending to the kind of production). Moreover, the costs distribution (respectively direct and non direct) is changing: more time and services dedicated to the studies for smaller products batches and shorter product life. The former fees sharing out methods, the analytic cost accounting or by analogical method, no longer give efficient results. Then, thanks to studies from CAM-I (Computer Aided Manufacturing-International) and authors like Johnson and Kaplan, the increasing gap between traditional methods of cost estimation and the new management requirements were highlighted. All these works lead to new approaches integrating the complete cost and spread accounting methods based on the enterprise activities (ABC for instance). French economist, since the sixties, also developed a method based on one single cost inductors identification through all the steps of the product development process (Added Value Unit method). We implemented such a costing management in a French sand casting foundry in order to allow a several level management, based on indicators linked with the exact costs of the product to be delivered [4]. During this PHD thesis we validated the concepts but also the methodology needed through a complete numerical traceability. The work that will be presented in this paper, is linked with this former study and uses a concept called cost entity [5]. It includes several concepts, the cost inductors from the activity based accounting methods, the feature from the CAD and the homogeneity from the analytical cost accounting. Consequently, in order to define a cost entity, it is necessary to fill in several attributes linking technical and economical variables. The product model uses the concept of manufacturing feature. The cost are evaluated on the base of a knowledge and reasoning models with the tool Cost Advantage (from Cognition Europe), giving costs information to the CAD model until there empties of any semantics related to the cost. This model (called

INTEGRATION OF COST MODELS IN DESIGN AND MANUFACTURING 3 costgramme) put the expertise of the manufacturing cost available to the designer. Some models, dedicated to the sand casting production of primary parts, were created with the wish to evaluate the limit to be reached in order to make a meta-model that could be deployed in all the sand casting industries. Thus, the goals of this study are, one the one hand, to create the model related to the sand casting job, the more generic as possible, and to determine up to what point they are transposable from a company to another (or from a production line to another ). So we will have to define and discuss which are the limits of the concepts from the triptych product/process/cost, and what level of detail is necessary to implement in the most industrial environment. This study is realized in collaboration with Cognition Europe, software developer of the tool Cost Advantage, and based on an industrial experimentation in SMC Colombier Fontaine casting enterprise already mentioned. 2. THE COST ENTITY CONCEPT AND THE MODELLING LOGIC The aim of our study is to sharply manage the costs (direct and indirect) during the production of sand casting parts. As illustrated previously, it is imperative to give a tool to the engineers of the engineering and design department with an aim of controlling the costs of the parts design. In collaboration with the company Cognition Europe, and on the basis of the tool Cost Advantage, we work on the costs models to apply in the case of the foundry sands steel parts. We are based on a preceding work, proposing an approach integrated for the sand foundry, realized within the framework of a thesis in partnership with company SMC Colombier Fountain (France) of group AFE Métal. This work, formalized the base of knowledge trade necessary to the control of the product life cycle in a foundry company. In addition, we validated an approach, a methodology and a deployment leading to ensure an exact knowledge of the parts costs and their impact on the output of the company [6]. 2.1 Cost entity concept A Cost Entity is a grouping of costs associated with the resources consumed by an activity (cf. Fig.1.)[7-8]. The general condition is due to the

4 Nicolas Perry, Magali Mauchand, Alain Bernard homogeneity of the resources, which makes it possible to associate a single inductor the entity cost [9]. The model allows the expertise formalization, knowledge capitalization and to have, at the early design phase, information about the production step. Moreover, it helps the communication between the several collaborators during the product life cycle. Figure 1. Sand casting base components (Process, Material, feature) 2.2 Context / instantiation The contexts specify the definite entities in three levels in our model. First is defined in a level process, the second on a level material and the last is directly related to the feature. This context is a cross between a processes, a material and a feature, connected to an environment (cf. Fig.2). complete realization are the specified, depending to the exact process chosen our forecast for the part. Based on this analysis we have created a generic model using Cost Advantage Software. The first step is to closely define the production process dedicated to this industry. The master parameters acting upon the product cost must be identified and enrich the cost semantic of the model. Calculations are simple, taking into account volumes of material, rates of production, losses and the machine and labor costs. Put aside the difficulty in knowing the exact parameters, the rules of calculations are simple ; there is not the problem of modeling which positions more on hierarchy problems and of model organization.

INTEGRATION OF COST MODELS IN DESIGN AND MANUFACTURING 5 The rules of calculation then implemented will make it possible to the future user to inform only the relevant data about its study. Indeed, only the operational process, rates, dimensions, numbers of cores (etc.) will be required (or deduced directly in a CAD software) to allow an automatic calculation of the cost of the part according to its particular characteristics. Surface Maintenance cost Paying Direct machine cost Rate of production Indirect machine cost Number of operat ors Average cost machine Machine cost / part Machine cost Tooling cost Process Cost Figure 2. Process cost structure 3. SAND CASTING MODELING After a sand casting foundry process analysis, we created a generic model using Cost Advantage Software. First, we started with the production process definition, dedicated to this industry. We also identified a master parameter acting upon the product cost in order to master the cost of the product. This approach highlights the problems of the contexts characteristics. How to define a significant cost inductor for one part (a batch, the global production ) and with which level of detail (in order to be generic)? We will not answer this question, but we will present the paths or solutions we used. This model is based on the SMC Colombier Fontaine foundry (France), from AFE Metal group [10]. We will focus on the production phase, from the sand elaboration, the tooling machining and the parts perfecting and limit at this area. We took into account in one hand the several physical compounds (raw material, tooling ) and in the other hand the elements needed to manufacture a part linked with the major indicators dealing with the final cost (loss, scrap ratio, production rate ).

6 Nicolas Perry, Magali Mauchand, Alain Bernard The figure 3 represents a transposition under the concepts of Cost Advantage of this model gathering the three levels of entities defined in the software. This figure illustrate this, for example, with the mould, the tooling and the cores, that are needed components to carry out the assembly (the moulding) by the operation (feature) of weating. In this approach, it is necessary to define the final part, to carry out the two assemblies, first the moulding (realization of the mould),then the casting. Legend: Mould Core1 Component Tooling1 Core Weating Core2 Filter1 Tooling2 Tooling Weating Assembly Tooling3 Moulding Finishing Feature Control Feeding Alloy Finishing Final Part Figure 3. Cost Advantage modeling example, at the assembly level In terms of model design, the functional view identifies the assemblies needed, it is then necessary to define the components and choose and define the related operations. An ascending step must be practice, starting with the components up to the definition of the assemblies. The costs are calculated relatively to the figure 2. The implemented data structure is shown prior in figure 4. Calculations are simply taking into account volumes of material, rates of production, losses and the machine and labor costs. The rules of calculation then implemented will make it possible to the user to only full fill the relevant data about its study. Indeed, only the operational process, rates, dimensions, numbers of cores (etc.) will be taken into account (or extracted from a CAD software) to allow an automatic calculation of the cost according to its characteristics.

INTEGRATION OF COST MODELS IN DESIGN AND MANUFACTURING 7 Process Component Alloy Process Core Process Melting Core design Core box machining Material Mould Process Assembly Casting Casting Alloy Mould design Core sand elaboration Master pattern machining Core making Feeding Mould sand elaboration Mould Cores Tooling Master pattern material Chassis Core box material Coolers Funnel Filter Core sand Mould sand Feature Tooling assembling Assembling Finishing Cores assembling Stalking Surface treatment Impact surface treatment Chemical surface treatment Shoot peening Sand blasting Deburring Manual grinding Semi-automatic grinding Cutting Blowtorch Control Non destructive controls Cutting Magnetography Sweating Visual control Ultrasounds Figure 4. Structure of data with Cost Advantage

8 Nicolas Perry, Magali Mauchand, Alain Bernard 4. DISCUSSION AND CONCLUSION During this work, we have identified a principal difficulty for this modeling in the multiplicity of the characteristic elements and in the definition of their hierarchy. Even if the manufacturing sand casting process seems simple, it uses many components (alloy, cores, mould ), and we limited the definition in terms of model refinement since each one of these components could be the subject of a finer modeling. But we think that we defined a basic minimal skeleton, transposable from one company to another using the sand casting process. To conclude on this work, we started to apprehend a logic of cost oriented modeling through a tool using the concept of cost entity. In order to ensure a generic aspect our work, we deliberately limited the details of the operations, components and assemblies. Indeed, the development of these elements takes into account many parameters that it seemed to us initially overflowing to define. We thus defined a structure which we think minimal, as well as indicators necessary to evaluate the whole costs without the indirect part. The next step of this study is amongst other sand casting companies, to apply this modeling, configure the model with the existing processes and informing the exact values of the indicators. This last step will make it possible to compare the effectiveness of the various companies and could be used as Benchmark. A foreseeable difficulty is the possibility of reaching this information. Moreover, these factors are often managed by a total cost accounting thus drowned within indicators and systems of management not very transparent. A significant continuation to give to this work is the taking into account of the global costs related mainly to the indirect shares. Our introduction puts forward the lack of management of these aspects and our first approach did not give place to a better control of these factors. However the work is done and the workers must be paid (designer, maintenance, buyers, logistics ) even if their work is not as well managed through a cost management system. A better specification (by the means of indicators, of metric) of the tools design phases, tools lifespan, etc. would make it possible to integrate a real cost of the complete series. The question of the relevance of the tool used for this type of approach arises then. Some solutions comes from the use of single or very limited number cost indicators such as the time and define a global enterprise cost per hour minimal to balance its financial objectives. Such an approach allow a multi level management of the parts impact and give a real time information to asses the enterprise objectives and manage the strategic-tactic and operational decisions.

INTEGRATION OF COST MODELS IN DESIGN AND MANUFACTURING 9 REFERENCES 1 J. PERRIN, Cohérence, pertinence et évaluation économique des activités de conception, in Cohérence, Pertinence et Evaluation, ECOSIP, Economica, 1996. 2 P.F.OSTWALD, Construction Cost Analysis & Estimating, ISBN 0-13-083207-3, February, 2000. 3 N.GIANNOPOULOS, R.ROY, V.TARATOUKHINE, A.SARASUA-ECHEVERRIA, Embedded systems software cost estimating within the concurrent engineering environment, CE03 : the Vision for the Future Generation in Research and Applications, ISBN 90 5809 623 8, p.352-357, 2003. 4 A. BERNARD, N. PERRY, J.C. DELPLACE, S. GABRIEL, Optimization of complete design process for sand casting foundry, Proceedings of IDMME 2002 conference, Clermont-Ferrand, France, 2002. 5 N. PERRY, A. BERNARD, Cost objective PLM and CE, CE: the Vision for the future generation in research and applications, ISBN 90 5809 622 X, 2003, p.817-822. 6 F. H MIDA, L approche entité coût pour l estimation des coûts en production mécanique, PHD Thesis, LGIPM-ENSAM Metz-Univ. Metz, Mars 2002. 7 Y.LIU, A.H.BASSON, Case Study Using COM (OLE) to Link CAD and Manufacturing Cost Estimation Software, COMA 04, International Conference on Competitive Manufacturing, Stellenbosch, South Africa, p.168-174, ISBN 0-7972-1018-0, 2004.A. 8 F.H MIDA, «L approche entité coût pour l estimation des coûts en production mécanique», PHD Thesis, LGIPM-ENSAM Metz-Univ. Metz, Mars 2002. 9 A.BERNARD, N. PERRY, J.-C. DELPLACE, S. GABRIEL, Quotation for the value added assessment during product development and production processes, Proc. of 2003 CIRP Design Seminar, Grenoble, May 2003. 10 N. PERRY, M. MAUCHAND, A. BERNARD, Modèles de coûts en fonderie sable: les limites d une approche générique, CPI 2003, 3ème Colloque International en Conception et Production Intégrées, ref 044, MEKNES, Maroc, Octobre 2003.