A system dynamics modeling framework for the strategic supply chain management of food chains
|
|
- Easter Alexander
- 7 years ago
- Views:
Transcription
1 Journal of Food Engineering 70 (2005) A system dynamics modeling framework for the strategic supply chain management of food chains Patroklos Georgiadis *, Dimitrios Vlachos, Eleftherios Iakovou Department of Mechanical Engineering, Aristotle University of Thessaloniki, Division of Industrial Management, P.O. Box 461, Thessaloniki , Greece Received 3 October 2003; received in revised form 22 December 2003; accepted 23 June 2004 Available online 25 November 2004 Abstract The need for holistic modeling efforts that capture the extended supply chain enterprise at a strategic level has been clearly recognized first by industry and recently by academia. Strategic decision-makers need comprehensive models to guide them in efficient decision-making that increases the profitability of the entire chain. The determination of optimal network configuration, inventory management policies, supply contracts, distribution strategies, supply chain integration, outsourcing and procurement strategies, product design, and information technology are prime examples of strategic decision-making that affect the long-term profitability of the entire supply chain. In this work, we adopt the system dynamics methodology as a modeling and analysis tool to tackle strategic issues for food supply chains. We present guidelines for the methodology and present its development for the strategic modeling of single and multi-echelon supply chains. Consequently, we analyze in depth a key issue of strategic supply chain management, that of long-term capacity planning. Specifically, we examine capacity planning policies for a food supply chain with transient flows due to market parameters/constraints. Finally, we demonstrate the applicability of the developed methodology on a multi-echelon network of a major Greek fast food chain. Ó 2004 Elsevier Ltd. All rights reserved. Keywords: System dynamics; Supply chain management; Food logistics; Capacity planning 1. Introduction * Corresponding author. Tel.: ; fax: address: geopat@eng.auth.gr (P. Georgiadis). Supply chain management (SCM) has been met with increased recognition during the last decade both by academicians as well as practitioners. However, despite its significant advances and dramatic improvements in information technology (IT), the discipline of SCM remains incapable of addressing satisfactorily many practical real-world challenges. One key reason for this inadequacy is the interdependencies among various operations and the autonomous partners across the chain, which renders all traditional myopic models invalid (Iakovou, 2001; Tayur, Ganeshan, & Magazine, 1999). Rather, strategic decision-makers need comprehensive models to guide them in the decision-making process so as to increase the total profitability of the chain. A critical shortcoming of most of the existing strategic models is their inability to take into account the impact of regulatory legislation within todayõs already volatile environment. This is particularly important for food supply chains because of their unique characteristics, stemming among others from product storage and transportation specifications (Hobbs & Young, 2000; Van der Vorst, Beulens, De Wit, & Van Beek, 1998). For example, product perishability creates uncertainty for the buyer with respect to product quality, safety and reliability (i.e. quantity) of supply. It creates /$ - see front matter Ó 2004 Elsevier Ltd. All rights reserved. doi: /j.jfoodeng
2 352 P. Georgiadis et al. / Journal of Food Engineering 70 (2005) uncertainty for the seller in locating a buyer, as perishable products must be moved promptly to the marketplace to avoid deterioration, leaving sellers unable to store the products awaiting favorable market conditions. This further leads to the need for frequent deliveries, through dedicated modes of transportation (e.g. refrigerators). Moreover, food products usually exhibit high seasonality in raw materials availability and in end-products demand, and therefore they need efficiently designed storage facilities to further ensure their quality. In addition, food safety issues have profound ramifications on the design of the supply chain. For instance, proper monitoring and response to food safety problems requires the ability to trace back small lots, from retailer to processor or even back to the supplying farm. Another feature of food chains is that few products are transformed from commodity to differentiated branded foods, while others undergo packaging but remain essentially intact in character. All these characteristics along with the dynamically evolving legislative framework further hinder the task of managing efficiently food supply chains. The motivation behind this research is (i) to facilitate the decision-making process for capacity planning of multi-echelon supply chains in such uncertain environments by studying the long-term behavior of supply chains and (ii) to further offer a generic methodological framework that could address a wider spectrum of strategic SCM related problems. Most of the standard methodologies for the analysis of supply chains study the steady state of the system, i.e. they assume that all transient phenomena have been diminished. This assumption may be valid in several supply chains, where product demand exhibits a smooth pattern, i.e. demand has a low coefficient of variation (functional items, in(fisher, 1997)). However, there is an increasingly important family of products with shorter life cycles and larger demand variability, for which the utilization of the traditional methodologies may lead to considerable errors (innovative items, in(fisher, 1997)). While focusing on the latter, we employ the system dynamics (SD) methodology, well known and proven in strategic decision-making, as the major modeling and analysis tool in this research. Forrester (1961) introduced SD in the early 60s as a modeling and simulation methodology for the analysis and long-term decision-making of dynamic industrial management problems. Since then, SD has been applied to various business policy and strategy problems (Sterman, 2000). The version of the well-known Beer Distribution Game, an experiential educational game presented in (Sterman, 1989), is a role playing SD model of a supply chain originally developed by Forrester. Towill (1995) uses SD in supply chain redesign to gain added insights into SD behavior and particularly into its underlying casual relationships. The outputs of the proposed model are industrial dynamics models of supply chains. Minegishi and Thiel (2000) use SD to improve the understanding of the complex logistic behavior of an integrated food industry. They present a generic model and then provide practical simulation results applied to the field of poultry production and processing. Sterman (2000) presents two case studies where the SD methodology is used to model reverse logistics problems. Georgiadis and Vlachos (2004) use the SD methodology to estimate stocks and flows in a reverse supply chain providing specific mechanisms with a fixed remanufacturing capacity change per year. Sterman (2000) introduced a generic SD model of the stock management structure which is used to explain the sources of oscillation, amplification and phase lag observed in supply chains. Haffez, Griffiths, Griffiths, and Nairn (1996) describe the analysis and modeling of a two-echelon industry supply chain encountered in the construction industry, using an integrated system dynamics framework. Simulation results are further used to compare various re-engineering strategies. In this work we develop an SD-based holistic model of the entire supply chain, which may be used as decisionmaking aid tool, mainly for strategic decision-making. More specifically, we design generic single-echelon inventory systems that incorporate all state variables (stocks on-hand and on order) and policies for both inventory control and capacity planning. Using this single-echelon model as a basic module we demonstrate how generic multi-echelon supply chain models can be constructed. Although such an analysis may differ from one product (or stock keeping unit, SKU) to another, we keep the proposed model as generic as possible to facilitate its implementation on a wide spectrum of real-world cases. The next section presents the problem under study and the modeling approach along with the major underlying assumptions. In Section 3we demonstrate the applicability of the developed model on a multi-echelon network of a major Greek fast food chain. Finally, we wrap-up with summary and conclusions in Section Problem and model description Strategic supply chain management deals with a wide spectrum of issues and includes several types of decisionmaking problems that affect the long-term development and operations of a firm, namely the determination of number, location and capacity of warehouses and manufacturing plants and the flow of material through the logistics network, inventory management policies, supply contracts, distribution strategies, supply chain integration, outsourcing and procurement strategies, product design, decision support systems and information technology.
3 You are reading a preview. Would you like to access the full-text? Access full-text
4 P. Georgiadis et al. / Journal of Food Engineering 70 (2005) Total_trans_demand_SR = ARRSUM(Trans_demand_SR)/Hours_per_Shift_SR[driver-shifts] Trans_Cap_Expansion_NR = INT(K_NR * (PULSE(Smoothed_Tran_Cap_Shortage_NR,4000,Pr_NR))) [trucks/hour] Trans_Cap_Expansion_SR = INT(K_SR * (PULSE(Smoothed_Tran_Cap_Shortage_SR,4000,Pr_SR))) [trucks/hour] Transportation_Capacity_Leasing_NR = Transportation_Capacity_Shortage_NR * Desired_Fill_Rate_NR [trucks] Transportation_Capacity_Leasing_SR = Transportation_Capacity_Shortage_SR * Desired_Fill_Rate_SR [trucks] Transportation_Capacity_Needed_NR = Total_trans_demand_NR/Driver_Shifts_per_Truck_NR[trucks] Transportation_Capacity_Needed_SR = Total_trans_demand_SR/Driver_Shifts_per_Truck_SR[trucks] Transportation_Capacity_Shortage_NR = MAX(Transportation_Capacity_Needed_NR- Transportation_Capacity_NR,0)[trucks] Transportation_Capacity_Shortage_SR = MAX(Transportation_Capacity_Needed_SR- Transportation_Capacity_SR,0)[trucks] Constants: const a_ao_sr = 12 [hour] dim a_d = (D = ) const a_d = 12 [hour] dim a_d_sr = (D = ) const a_d_sr = 12 [hour] const a_tc_nr = 12 [hour] const a_tc_sr = 12 [hour] const Acquisition_Time_TC_SR = 720 [hour] const Acquisition_Time_TC_NR = 720 [hour] const Capacity_Life_Cycle_NR = 40,000 [hour] const Capacity_Life_Cycle_SR = 40,000 [hour] const Desired_Fill_Rate_NR = 1 [ ] const Desired_Fill_Rate_SR = 1 [ ] const Driver_Shifts_per_Truck_NR = 3[driver-shifts/truck] const Driver_Shifts_per_Truck_SR = 3[driver-shifts/truck] const Hours_per_Shift_NR = 8 [hour/driver-shifts] const Hours_per_Shift_SR = 8 [hour/driver-shifts] const Inventory_Position_Adjustment_Time_DC = 1 [hour] dim Inventory_Position_Adjustment_Time_NR = (D = ) const Inventory_Position_Adjustment_Time_NR = 1 [hour] dim Inventory_Position_Adjustment_Time_SR = (D = ) const Inventory_Position_Adjustment_Time_SR = 1 [hour] const K_NR = 1 [1/hour] const K_SR = 1 [1/hour] const Lead_Time_DC = 9 [hour] dim Lead_time_NR = (D = l.. 60) const Lead_time_NR = [...] [hour] dim Lead_time_SR = (D = ) const Lead_time_SR = [...] [hour] dim m_nr = (D = ) const m_nr = [...] [items/hour] dim m_sr = (D = ) const m_sr = [...] [items/hour] const Order_Handling_Time_CW = 1 [hour] const Order_Handling_Time_NR = 1 [hour] const Order_Handling_Time_SR = 1 [hour] const Pr_NR = 4320 [hour]: NR transportation capacity review period const Pr_SR = 4320 [hour] : SR transportation capacity review period
5 364 P. Georgiadis et al. / Journal of Food Engineering 70 (2005) dim Response_Time_NR = (D = l.. 60) const Response_Time_NR = 0.1 [hour] dim Response_Time_SR = (D = ) const Response_Time_SR = 0.1 [hour] const S_DC =...[items] dim S_NR = (D = ) const S_NR = [...] [items] dim S_SR = (D = ) const S_SR = [...] [items] const s_dc =...[items] dim s_nr = (D = ) const s_nr = [...] [items] dim s_sr = (D = ) const s_sr = [...] [items] dim sd_nr = (D = ) const sd_nr = [...] [items/hour] dim sd_sr = (D = ) const sd_sr = [...] [items/hour] References Fisher, M. L. (1997). What is the right supply chain for your product? Harvard Business Review(March April), Forrester, J. W. (1961). Industrial dynamics. Cambridge, MA: MIT Press. Georgiadis, P., & Vlachos, D. (2004). The effect of environmental awareness on product recovery networks design. European Journal of Operational Research, 157, Haffez, K., Griffiths, M., Griffiths, J., & Nairn, J. (1996). System design of a two-echelon steel industry supply chain. International Journal of Production Economics, 45, Hobbs, J. E., & Young, L. (2000). Closer vertical co-ordination in agrifood supply chains: A conceptual framework and some preliminary evidence. Supply Chain Management: An International Journal, 5(3), Iakovou, E. (2001). A new framework for supply chain management: Review concepts and examples. In Proceedings of the Third Aegean International Conference on Design and Analysis of Manufacturing Systems, Tinos, Greece, Martinich, J. S. (1997). Production and operations management. Wiley. Minegishi, S., & Thiel, D. (2000). System dynamics modeling and simulation of a particular food supply chain. Simulation Practice and Theory, 8, Nahmias, S. (2001). Production and operation analysis (4th ed.). McGraw-Hill. Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world. New York: McGraw-Hill. Sterman, J. D. (1989). Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making experiment. Management Science, 35(3), Tayur, S., Ganeshan, R., & Magazine, M. (1999). Quantitative models for supply chain management. KluwerÕs International Series. Towill, D. (1995). Industrial dynamics modeling of supply chains. International Journal of Physical Distribution & Logistics Management, 26(2), Van der Vorst, J. G. A. J., Beulens, A. J. M., De Wit, W., & Van Beek, P. (1998). Supply chain management in food chains: Improving performance by reducing uncertainty. International Transactions in Operational Research, 5(6),
A system dynamics model for dynamic capacity planning of remanufacturing in closed-loop supply chains
Computers & Operations Research 34 (2007) 367 394 www.elsevier.com/locate/cor A system dynamics model for dynamic capacity planning of remanufacturing in closed-loop supply chains Dimitrios Vlachos, Patroklos
More informationEffect of Forecasting on Bullwhip Effect in Supply Chain Management
Effect of Forecasting on Bullwhip Effect in Supply Chain Management Saroj Kumar Patel and Priyanka Jena Mechanical Engineering Department, National Institute of Technology, Rourkela, Odisha-769008, India
More informationThe bullwhip effect in the closed loop supply chain
The bullwhip effect in the closed loop supply chain Lizhen Huang1,2, 3 Qifan Wang3,4 1. Fuzhou University, 2. Bergen University, 3. Tongji University, 4. Fudan University Faculity of Management, Fuzhou
More informationA CONCEPTUAL DESIGN INITIATION FOR PRODUCTION-INVENTORY SYSTEM BASED ON MACROECONOMICS
A CONCEPTUAL DESIGN INITIATION FOR PRODUCTION-INVENTORY SYSTEM BASED ON MACROECONOMICS Marzieh Akhondi a and S. Nurmaya Musa b Department of Mechanical Engineering, Faculty of Engineering, University of
More informationBUSINESS-TO-BUSINESS E-COMMERCE: AN INNOVATIVE TOOL FOR FOOD CHAIN MANAGEMENT
BUSINESS-TO-BUSINESS E-COMMERCE: AN INNOVATIVE TOOL FOR FOOD CHAIN MANAGEMENT By Ilias P. Vlachos Lecturer Agribusiness Management Agribusiness Laboratory, Agricultural University of Athens, Iera Odos
More informationSupply Chain Management Specialization
Graduate Business Programs SDSU College of Business Administration MBA Program of Study Worksheet Supply Chain Management Specialization MBA Program of Study Worksheet: Supply Chain Management Specialization
More informationAPPLICATION OF SIMULATION IN INVENTORY MANAGEMENT OF EOL PRODUCTS IN A DISASSEMBLY LINE
APPLICATION OF SIMULATION IN INVENTORY MANAGEMENT OF EOL PRODUCTS IN A DISASSEMBLY LINE Badr O. Johar, Northeastern University, (617) 3737635, johar.b@husky.neu.edu Surendra M. Gupta, Northeastern University,
More informationApplication of planning models in the agri-food supply chain: A review
Available online at www.sciencedirect.com European Journal of Operational Research 195 (2009) 1 20 Invited Review Application of planning models in the agri-food supply chain: A review Omar Ahumada, J.
More informationManagement of Uncertainty In Supply Chain
Management of Uncertainty In Supply Chain Prof.D.P.Patil 1, Prof.A.P.Shrotri 2, Prof.A.R.Dandekar 3 1,2,3 Associate Professor, PVPIT (BUDHGAON), Dist. Sangli(M.S.) sdattatrayap_patil@yahoo.co.in amod_shrotri@rediffmail.com
More informationINFORMATION TECHNOLOGIES AND MATERIAL REQUIREMENT PLANNING (MRP) IN SUPPLY CHAIN MANAGEMENT (SCM) AS A BASIS FOR A NEW MODEL
Bulgarian Journal of Science and Education Policy (BJSEP), Volume 4, Number 2, 2010 INFORMATION TECHNOLOGIES AND MATERIAL REQUIREMENT PLANNING (MRP) IN SUPPLY CHAIN MANAGEMENT (SCM) AS A BASIS FOR A NEW
More informationFull-time MSc in Logistics and Supply Chain Management
Full-time MSc in Logistics and Supply Chain Management Course structure and content 2016-2017 The course has been developed to produce expert logistics and supply chain professionals who can take the skills
More informationProject: Operations Management- Theory and Practice
Operations management can be defined as the management of the supply chain logistics of an organisation to the contemporary measures of performance of cost, time and quality. Research the literature on
More informationSystem Dynamics Simulation for Strategic Green Supply Chain Management
International Conference on Competitive Manufacturing System Dynamics Simulation for Strategic Green Supply Chain Management M. Mutingi 1, 2, C. Mbohwa 2, S. Mhlanga 2, H. Mapfaira 1 1 Mechanical Engineering
More informationInventory Control in Closed Loop Supply Chain using System Dynamics
Inventory Control in Closed Loop Supply Chain using System Dynamics Roberto Poles RMIT University, School of Business Information Technology 239 Bourke Street, Melbourne Vic 3000, Australia Tel. 61399255597
More informationCHOICES The magazine of food, farm, and resource issues
CHOICES The magazine of food, farm, and resource issues 4th Quarter 2005 20(4) A publication of the American Agricultural Economics Association Logistics, Inventory Control, and Supply Chain Management
More informationCollaborative Supply Chain Management Learning Using Web-Hosted Spreadsheet Models ABSTRACT
Collaborative Supply Chain Management Learning Using Web-Hosted Spreadsheet Models Don N. Pope Abilene Christian University, ACU Box 29309, Abilene, Texas 79699-9309 Phone: 325-674-2786 Fax: 325-674-2507
More informationA New System Dynamics Distribution Network Simulation Model with Uncertain Demands for Analyzing Lead Times Effect
6th International Conference on Industrial Engineering and Industrial Management. XVI Congreso de Ingeniería de Organización. Vigo, July 18-2, 212 A New System Dynamics Distribution Network Simulation
More informationSupply Chain Management
1 Supply Chain Management July 2000 Jayashankar M. Swaminathan The Kenan-Flagler Business School University of North Carolina, Chapel Hill, NC-27599 Email: msj@unc.edu This paper is forthcoming in the
More informationLearning supply chain management through use of a business game
Learning supply chain management through use of a business game Dr Navonil Mustafee School of Business & Economics Swansea University, Singleton Park Swansea, SA28PP, Wales, UK n.mustafee@swansea.ac.uk
More informationSimulation: An Effective Marketing Tool
Simulation: An Effective Marketing Tool Ashu Gupta Sr. Lecturer Apeejay Institute of Management, Jalandhar, Punjab, India. ABSTRACT Simulation- the study and use of models of complex relationships- is
More informationSystem Dynamics as a tool for Green Supply Chain Management: A Theoretical Ransom
System Dynamics as a tool for Green Supply Chain Management: A Theoretical Ransom Prof. Sujit Singh University of Malaya Kuala Lumpur Malaysia Prof. Puja Chhabra Sharma, PhD Ansal University Sector 55,
More informationEssentials for Information Coordination in Supply Chain Systems
Essentials for Information Coordination in Supply Chain Systems Qing Zhang School of Business Administration, South Central University for Nationalities Wuhan 430074, China Tel: 86-27-6784-3646 E-mail:
More informationStrategic Framework to Analyze Supply Chains
Strategic Framework to Analyze Supply Chains 1 Andy Guo A Strategic Framework for Supply Chain Design, Planning, and Operation Part I: Understand the supply chain Part II: Supply chain performance Part
More informationFull-time MSc in Logistics and Supply Chain Management
Full-time MSc in Logistics and Supply Chain Management Course structure and content 2015-2016 The course has been developed to produce expert logistics and supply chain professionals who can take the skills
More informationStatistical Inventory Management in Two-Echelon, Multiple-Retailer Supply Chain Systems
Statistical Management in Two-Echelon, Multiple-Retailer Supply Chain Systems H. T. Lee, Department of Business Administration, National Taipei University, Taiwan Z. M. Liu, Department of Business Administration,
More informationA LOT-SIZING PROBLEM WITH TIME VARIATION IMPACT IN CLOSED-LOOP SUPPLY CHAINS
A LOT-SIZING PROBLEM WITH TIME VARIATION IMPACT IN CLOSED-LOOP SUPPLY CHAINS Aya Ishigaki*, ishigaki@rs.noda.tus.ac.jp; Tokyo University of Science, Japan Tetsuo Yamada, tyamada@uec.ac.jp; The University
More informationThe 2013 Supply Chain Agenda
The 2013 Supply Chain Agenda Time to go beyond the traditional supply chain optimization projects 5 th Edition Prepared and edited by: Erik Koperdraat Kris Dieteren Capgemini Consulting The Netherlands
More informationCSCMP Level One : Cornerstones of Supply Chain Management. Learning Blocks
CSCMP Level One : Cornerstones of Supply Chain Management Learning Blocks Level one training will consist of eight learning blocks: 1. Supply Chain Concepts 2. Demand Planning 3. Procurement and Supply
More informationLogistics Management SC Performance, SC Drivers and Metrics. Özgür Kabak, Ph.D.
Logistics Management SC Performance, SC Drivers and Metrics Özgür Kabak, Ph.D. Outline Supply Chain Performance: Achieving Strategic Fit and Scope Competitive and supply chain strategies Achieving strategic
More informationTHE SUPPLY CHAIN MANAGEMENT AND OPERATIONS AS KEY TO FUTURE COMPETITIVENESS FOR RESEARCH, DEVELOPMENT AND MANUFACTURE OF NEW VEHICLES
Journal of KONES Powertrain and Transport, Vol. 18, No. 3 2011 THE SUPPLY CHAIN MANAGEMENT AND OPERATIONS AS KEY TO FUTURE COMPETITIVENESS FOR RESEARCH, DEVELOPMENT AND MANUFACTURE OF NEW VEHICLES Julen
More informationInformation Sharing in Supply Chain Management: A Literature Review on Analytical Research
Information Sharing in Supply Chain Management: A Literature Review on Analytical Research Hyun-cheol Paul Choi California State University, Fullerton, CA In this paper, we reviewed the area of upstream
More informationProgram structure - PGDM (with specializations in Marketing, Retail, Finance, HR, Systems, Operations)
Program structure - PGDM (with specializations in Marketing, Retail, Finance, HR, Systems, Operations) Trimester I Perspective Management I Vedanta, the Art of Self Management Grooming for Executive placement
More informationDynamic Simulation and Supply Chain Management
Dynamic Simulation and Supply Chain Management White Paper Abstract This paper briefly discusses how dynamic computer simulation can be applied within the field of supply chain management to diagnose problems
More informationTHE SYSTEM FRAMEWORK FOR EVALUATING THE EFFECT OF COLLABORATIVE TRANSPORTATION MANAGEMENT ON SUPPLY CHAIN
THE SYSTEM FRAMEWORK FOR EVALUATING THE EFFECT OF COLLABORATIVE TRANSPORTATION MANAGEMENT ON SUPPLY CHAIN Cheng-Min FENG Chien-Yun YUAN Professor Ph.D. Student Institute of Traffic and Transportation Institute
More informationSupply Chain Bullwhip Effect Simulation Under Different Inventory Strategy
Supply Chain Bullwhip Effect Simulation Under Different Inventory Stgy WANG Xiaoyan, HUANG Xiaobo Department of foundation, Xuzhou Air Force College, Xuzhou, Jiangsu, China xy_wang1999@126.com Abstract:
More informationPERFORMANCE ANALYSIS OF A CONTRACT MANUFACTURING SYSTEM
PERFORMANCE ANALYSIS OF A CONTRACT MANUFACTURING SYSTEM Viswanadham.N 1, Vaidyanathan.G 2 The Logistics Institute- Asia Pacific National University of Singapore Singapore 11926 mpenv@nus.edu.sg 1 engp9778@nus.edu.sg
More informationValue Creation Through Supply Chain Network Optimization To Address Dynamic Supply Chain
Value Creation Through Supply Chain Network Optimization To Address Dynamic Supply Chain A Thought Paper on Supply Chain Network Design & Optimization Services from the Business Consulting Group Introduction
More informationZeki Ayag QUALITY FUNCTION DEPLOYMENT APPROACH TO EVALUATE SUPPLY CHAIN STRATEGIES IN TURKISH AUTOMOTIVE INDUSTRY
Zeki Ayag Kadir Has University, Turkey QUALITY FUNCTION DEPLOYMENT APPROACH TO EVALUATE SUPPLY CHAIN STRATEGIES IN TURKISH AUTOMOTIVE INDUSTRY Abstract: The main objective of this study is to analyze automotive
More informationSUPPLY CHAIN MODELING USING SIMULATION
SUPPLY CHAIN MODELING USING SIMULATION 1 YOON CHANG AND 2 HARRIS MAKATSORIS 1 Institute for Manufacturing, University of Cambridge, Cambridge, CB2 1RX, UK 1 To whom correspondence should be addressed.
More informationIncreasing operational efficiency through improved customer service a case from the process maintenance business
Increasing operational efficiency through improved customer service a case from the process maintenance business Jaana Auramo, Kari Tanskanen and Johanna Småros Department of Industrial Engineering and
More informationELA Standards of Competence on the Supervisory/Operational Management Level
ELA Standards of Competence on the Supervisory/Operational Management Level 2.0 Basic Supply Chain Concepts 2.0.01 Explain the scope and role of component activities within the supply chain 2.0.02 Map
More informationA Decision-Support System for New Product Sales Forecasting
A Decision-Support System for New Product Sales Forecasting Ching-Chin Chern, Ka Ieng Ao Ieong, Ling-Ling Wu, and Ling-Chieh Kung Department of Information Management, NTU, Taipei, Taiwan chern@im.ntu.edu.tw,
More informationLeagility in Enterprise Networks Configuration of Capital Goods Sector
6th International Conference on Industrial Engineering and Industrial Management. XVI Congreso de Ingeniería de Organización. Vigo, July 18-20, 2012 Leagility in Enterprise Networks Configuration of Capital
More informationA Research on Corporate Enterprise Resource Planning (ERP) Systems used for Supermarket Supply Chain Inventory Management in Turkey
European Journal of Scientific Research ISSN 1450-216X Vol.38 No.3 (2009), pp.486-499 EuroJournals Publishing, Inc. 2009 http://www.eurojournals.com/ejsr.htm A Research on Corporate Enterprise Resource
More informationSolutions to Optimize Your Supply Chain Operations
Solutions to Optimize Your Supply Chain Operations Executive Summary Strategic optimization of your end-to-end supply chain produces significant savings and improves your operational service levels. Effecting
More informationEffect of Lead Time on Anchor-and-Adjust Ordering Policy in Continuous Time Stock Control Systems 1
Effect of Lead Time on Anchor-and-Adjust Ordering Policy in Continuous Time Stock Control Systems 1 Ahmet Mutallip and Hakan Yasarcan Industrial Engineering Department Bogazici University Bebek Istanbul
More informationModeling Stochastic Inventory Policy with Simulation
Modeling Stochastic Inventory Policy with Simulation 1 Modeling Stochastic Inventory Policy with Simulation János BENKŐ Department of Material Handling and Logistics, Institute of Engineering Management
More informationSUPPLY CHAIN (SC) DRIVERS AND OBSTACLES
SUPPLY CHAIN (SC) DRIVERS AND OBSTACLES Drivers of SC performance Facilities Inventory Transportation Information Sourcing Pricing The discussion here is mainly concerned with how these drivers are used
More informationSupply Chain Value Three principles to obtain more from your supply chain initiatives
Supply Chain Value Three principles to obtain more from your supply chain initiatives SM Copyright 2005 United Parcel Service of America, Inc. All Rights Reserved. No part of this publication may be reproduced
More informationPareto optimization for informed decision making in supply chain management
015-0393 Pareto optimization for informed decision making in supply chain management S. Afshin Mansouri 1 and David Gallear Brunel Business School, Brunel University, Uxbridge, Middlesex UB8 3PH, United
More informationA System Dynamics Model of the Chicken Meat Supply Chain faced with Bird Flu
A System Dynamics Model of the Chicken Meat Supply Chain faced with Bird Flu Thi Le Hoa Vo, Daniel Thiel University of Nantes and E.N.I.T.I.A.A. Nantes, LEM LARGECIA Rue de la Géraudière BP 85 443 Nantes
More informationOptimizing the Restaurant Industry Supply Chain SM. since 1990. Supply Chain Solutions. Redistribution Services. Warehousing and Storage.
Optimizing the Restaurant Industry Supply Chain SM since 1990 Supply Chain Solutions Redistribution Services Warehousing and Storage Promotions Premiums Fulfillment Logistics and Transportation 4 6 8 10
More informationAssignmentshelps.com. Case Study: Supply Chain Management Practices of Nike & Adidas. [Writer Name] [Institute Name] Paper Information
1 Paper Information Topic: Comparison Supply Chain Management Practices of Nike & Adidas Paper Type: Case Study Word Count: (700) Pages: 3 Referencing Style: Harvard Style Educational Level: Under Graduate
More informationSupply & Demand Management
Supply & Demand Management Planning and Executing Across the Entire Supply Chain Strategic Planning Demand Management Replenishment/Order Optimization Collaboration/ Reporting & Analytics Network Optimization
More informatione-business Applications in the European Food & Beverages Industry: Managerial & Economic Implications
2 e-business Applications in the European Food & Beverages Industry: Managerial & Economic Implications I.P. Vlachos Agricultural University of Athens 2.1 INTRODUCTION Until recently, companies in the
More informationThe Next Generation of Inventory Optimization has Arrived
The Next Generation of Inventory Optimization has Arrived Cutting-edge demand classification technology integrated with network optimization and simulation enables cost reduction and increased inventory
More informationAnalysis on Low Carbon Strategy of Third Party Logistics
410 Proceedings of the 7th International Conference on Innovation & Management Analysis on Low Carbon Strategy of Third Party Logistics Hong Fei 1, Ye Houyuan 2 1 School of Management, Jianghan University,
More informationA win-win solution for the bullwhip problem
A win-win solution for the bullwhip problem ROBERT N. BOUTE 1,2, STEPHEN M. DISNEY 3, MARC R. LAMBRECHT 2 and BENNY VAN HOUDT 4 1 Operations & Technology Management Center, Vlerick Leuven Gent Management
More informationQlikView for supply chain
QlikView for supply chain Consumer products qlik.com QlikView for the consumer products supply chain Political Increased regulatory and compliance pressures Political uncertainty Heightened environmental
More informationOne of the main supply chain deficiencies is the bullwhip effect: Demand fluctuations increase as one moves
Vol. 10, No. 1, September 2009, pp. 1 9 issn 1532-0545 09 1001 0001 informs I N F O R M S Transactions on Education Exploring the Bullwhip Effect by Means of Spreadsheet Simulation doi 10.1287/ited.1090.0038
More informationUnderstanding Business Cycles in the Airline Market
Understanding Business Cycles in the Airline Market Martin Liehr, Andreas Größler *, Martin Klein Industrieseminar der Universität Mannheim D - 68131 Mannheim, Germany Phone: (+49 621) 292-314 Fax: (+49
More informationA Unified Modeling Language for Describing Supply Chain Management in Retail Sector
A Unified Modeling Language for Describing Supply Chain Management in Retail Sector ZHU Haibo Harbin University of Commerce, Harbin, P.R. China, 150028 haibo26@yahoo.cn Abstract: With the market competition
More informationCost performance of traditional and vendor managed inventory approaches in hospital pharmaceutical supply chains
Cost performance of traditional and vendor managed inventory approaches in hospital pharmaceutical supply chains Sineenart Krichanchai* and Bart L. MacCarthy Operations Management and Information Systems
More informationMulti-Echelon Inventory Optimization
Multi-Echelon Inventory Optimization By Calvin B. Lee, Ph.D. Vice President and Chief Scientist, Evant Inc. Multi-Echelon Inventory Optimization By Calvin B. Lee, Ph.D. Vice President and Chief Scientist,
More informationA Framework for the System Dynamics (SD) Modeling of the Mobile Commerce Market
A Framework for the System Dynamics (SD) Modeling of the Mobile Commerce Market 1 Wang, W. and 2 F. Cheong School of Business Information Technology, Business Portfolio, RMIT University; Level 17, 239
More informationINFLUENCE OF DEMAND FORECASTS ACCURACY ON SUPPLY CHAINS DISTRIBUTION SYSTEMS DEPENDABILITY.
INFLUENCE OF DEMAND FORECASTS ACCURACY ON SUPPLY CHAINS DISTRIBUTION SYSTEMS DEPENDABILITY. Natalia SZOZDA 1, Sylwia WERBIŃSKA-WOJCIECHOWSKA 2 1 Wroclaw University of Economics, Wroclaw, Poland, e-mail:
More informationEXECUTIVE SUMMARY. Warehouse Management Systems. Technology for Global Supply Chain Performance. Authored By: Carla Reed. ChainLink Technology Series
EXECUTIVE SUMMARY ChainLink Technology Series Warehouse Management Systems Technology for Global Supply Chain Performance Copyright ChainLink Research 2007 Authored By: Carla Reed June, 2007 About ChainLink
More informationINTERNET-BASED ELECTRONIC MARKETPLACES AND SUPPLY CHAIN MANAGEMENT. Martin Grieger, PhD
This Chapter is taken from my dissertation: INTERNET-BASED ELECTRONIC MARKETPLACES AND SUPPLY CHAIN MANAGEMENT A SYSTEMS APPROACH TOWARDS A HOLISTIC CONCEPT OF UTILIZING INTERNET-BASED ELECTRONIC MARKETPLACES
More informationMS/Supply Chain Management Courses
September 2014 MS/Supply Chain Management Courses Summer Foundations Courses ACCT 560 Introduction to Financial Accounting In this course, we will study the three fundamental financial accounting issues,
More information15 : Demand Forecasting
15 : Demand Forecasting 1 Session Outline Demand Forecasting Why Forecast Demand? Business environment is uncertain, volatile, dynamic and risky. Better business decisions can be taken if uncertainty can
More informationAbstract. 1. Introduction. Caparica, Portugal b CEG, IST-UTL, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
Ian David Lockhart Bogle and Michael Fairweather (Editors), Proceedings of the 22nd European Symposium on Computer Aided Process Engineering, 17-20 June 2012, London. 2012 Elsevier B.V. All rights reserved.
More informationCutting-Edge Concepts in Inventory Management
Cutting-Edge Concepts in Inventory Management Just-In-Time (JIT) and Accurate Response have quickly become popular approaches due to the dramatic improvements on profitability. Due to the reduction in
More informationThe Decision Making Systems Model for Logistics
The Decision Making Systems Model for Logistics Ing. Miroslav Peťo, Faculty of Management Science and Informatics, Department of Management Theories, Univerzitná 1, 01026 Žilina, Miroslav.Peto@fri.uniza.sk
More informationInventory Optimization for the Consumer Products Industry
Inventory Optimization for the Consumer Products Industry Highlights Helps improve service levels and reduce working capital costs by enabling improved inventory planning and optimization Dynamically adjusts
More informationA Comparison of System Dynamics (SD) and Discrete Event Simulation (DES) Al Sweetser Overview.
A Comparison of System Dynamics (SD) and Discrete Event Simulation (DES) Al Sweetser Andersen Consultng 1600 K Street, N.W., Washington, DC 20006-2873 (202) 862-8080 (voice), (202) 785-4689 (fax) albert.sweetser@ac.com
More informationSupply chain ingenuity
Supply chain ingenuity Grant Thornton Consumer and Industrial Products practice January 2014 Agile decision-making, business intelligence and your supply chain Each year, Grant Thornton LLP conducts a
More informationINFORMATION TECHNOLOGY IN AGRI-FOOD SUPPLY CHAINS
INFORMATION TECHNOLOGY IN AGRI-FOOD SUPPLY CHAINS Victoria Salin Department of Agricultural Economics Texas A&M University College Station, Texas 77843-2124 phone: 409-845-8103 e-mail: v-salin@tamu.edu
More informationQlikView for Supply Chain. Consumer Products
QlikView for Supply Chain Consumer Products QlikView for the Consumer Products Supply Chain Political Increased regulatory and compliance pressures Political uncertainty Heightened environmental concerns
More informationSYNCHRONIZATION: MOVING BEYOND RE-ENGINEERING
SYNCHRONIZATION: MOVING BEYOND RE-ENGINEERING Ajit Kambil An edited version of this viewpoint appeared in the Journal of Business Strategy 2008, Volume 29, Issue 3. Please contact Emerald Insight Reprints
More informationAN ALTERNATIVE MODEL OF ERP MAINTENANCE STRATEGY
AN ALTERNATIVE MODEL OF ERP MAINTENANCE STRATEGY Muhammad Rofi IMTIHAN 1, Mohd. Salihin NGADIMAN, Habibollah HARON Department of Modelling and Industrial Computing Faculty of Computer Science and Information
More informationCHAPTER 8 COMPARING FSA TO COMMERCIAL PRICES
CHAPTER 8 COMPARING FSA TO COMMERCIAL PRICES Introduction We perform two types of price comparisons in this chapter. First, we compare price levels by matching the prices that FSA receives in auctions
More informationFlorida SUPPLY CHAIN MANAGEMENT. Executive Summary
Florida SUPPLY CHAIN MANAGEMENT Executive Summary SUPPLY CHAIN MANAGEMENT OVERVIEW Supply Chain Management (SCM) practices govern the selection of an appropriate mode for the movement of goods and materials
More informationREDUCING THE IMPACT OF DEMAND PROCESS VARIABILITY WITHIN A MULTI-ECHELON SUPPLY CHAIN
REDUCING THE IMPACT OF DEMAND PROCESS VARIABILITY WITHIN A MULTI-ECHELON SUPPLY CHAIN Abstract Francisco Campuzano Bolarín 1,Lorenzo Ros Mcdonnell 1, Juan Martín García 1 Department of Business Economy.
More information1) A complete SCM solution includes customers, service providers and partners. Answer: TRUE Diff: 2 Page Ref: 304
Enterprise Systems for Management, 2e (Motiwalla/Thompson) Chapter 11 Supply Chain Management 1) A complete SCM solution includes customers, service providers and partners. Diff: 2 Page Ref: 304 2) SCM
More informationWhite Paper. Mining and ERPs Supply Chain Management and Beyond
Mining and ERPs Introduction With the demand for commodities increasing globally and competition among suppliers increasing, the mining and resource (M&R) industry is facing new challenges. To address
More informationSupply Chain Management & ERP
1 Case: How Dell Reengineered its Supply Chain Supply Chain Management & ERP Problem: Dell pioneered the mail order approach to selling PCs In 1993, Compaq cuts prices to drive Dell out of the market.
More informatione-business in the Retail Sector Elena Gaboardi
e-business in the Retail Sector Elena Gaboardi 26-11-2002 e-business in Europe 2002, Brussels 1 Retail: a reshaped competitive scenario Increasing concentration (new stores and takeovers) Geographical
More informationHow human behaviour amplifies the bullwhip effect a study based on the beer distribution game online
How human behaviour amplifies the bullwhip effect a study based on the beer distribution game online Joerg Nienhaus *, Arne Ziegenbein *, Christoph Duijts + * Centre for Enterprise Sciences (BWI), Swiss
More informationStrategic Sourcing & Procurement Excellence
Strategic Sourcing & Procurement Excellence Mastering sustainable procurement strategies to generate significant value for your organisation through effective cost reduction and increased efficiency Singapore,
More informationRisk Pooling Chap. 14
Risk Pooling Chap. 14 Risk Pooling Theory Applications Differentiation Postponement/Delay Location, HP Case - handed out preparation questions 1. On page 1, it said We can t run our business with this
More informationHow to Cheat and Make Better Decisions with Predictive Analytics. Track 1 Session 3
How to Cheat and Make Better Decisions with Predictive Analytics Track 1 Session 3 Robert Heaney - Title: Lead Analyst, Supply Chain Management - Company: Aberdeen Group - Email : Bob.Heaney@Aberdeen.com
More informationAnalysis of Various Forecasting Approaches for Linear Supply Chains based on Different Demand Data Transformations
Institute of Information Systems University of Bern Working Paper No 196 source: https://doi.org/10.7892/boris.58047 downloaded: 16.11.2015 Analysis of Various Forecasting Approaches for Linear Supply
More informationPurchasing Final. Ch.3 The Legal Aspects of Purchasing
Purchasing Final Ch.3 The Legal Aspects of Purchasing In business environments, ethical behavior is the foundation of trust. Purchasing agents are governed by the company s ethical policies, o The Uniform
More informationSupply Chain Management in Food Chains: Improving Performance by Reducing Uncertainty
Int. Trans. Opl Res. Vol. 5, No. 6, pp. 487±499, 1998 # 1998 IFORS. Published by Elsevier Science Ltd All rights reserved. Printed in Great Britain PII: S0969-6016(98)00049-5 0969-6016/98 $19.00 + 0.00
More informationOutsourcing Analysis in Closed-Loop Supply Chains for Hazardous Materials
Outsourcing Analysis in Closed-Loop Supply Chains for Hazardous Materials Víctor Manuel Rayas Carbajal Tecnológico de Monterrey, campus Toluca victor.rayas@invitados.itesm.mx Marco Antonio Serrato García
More informationNine Ways Food and Beverage Companies Can Use Supply Chain Design to Drive Competitive Advantage
Nine Ways Food and Beverage Companies Can Use Supply Chain Design to Drive Competitive Advantage From long-term, strategic decision-making to tactical production planning, supply chain modeling technology
More informationTHE VALUE OF POINT-OF-SALES DATA IN MANAGING PRODUCT INTRODUCTIONS: RESULTS FROM A CASE STUDY
THE VALUE OF POINT-OF-SALES DATA IN MANAGING PRODUCT INTRODUCTIONS: RESULTS FROM A CASE STUDY Johanna Småros * *) Department of Industrial Engineering and Management, Helsinki University of Technology,
More informationEvaluation of Supply Chain Management Systems Regarding Discrete Manufacturing Applications
Evaluation of Supply Chain Management Systems Regarding Discrete Manufacturing Applications Prof. Dr.-Ing. Klaus Thaler FHTW Berlin, Treskowallee 8, D-10318 Berlin, Germany e-mail: k.thaler@fhtw-berlin.de
More informationContent. Chapter 1 Supply Chain Management An Overview 3. Chapter 2 Supply Chain Integration 17. Chapter 3 Demand Forecasting in a Supply Chain 28
Content Part I: Principles of Supply Chain Management Chapter 1 Supply Chain Management An Overview 3 Part II: Supply Chain Planning & Design Chapter 2 Supply Chain Integration 17 Chapter 3 Demand Forecasting
More informationSupply Chain development - a cornerstone for business success
Supply Chain development - a cornerstone for business success Agenda 1. Supply chain considerations 2. Benefits of a developed SCM strategy 3. Competitive advantage by using a LSP 4. CRM/SCM key to business
More information