PCDM: a decision support modeling methodology for supply chain, product and process design decisions

Abstract While there is considerable pressure to improve the operation of supply chains, their inherent complexity can make modeling a supply chain a difficult task. This difficulty is compounded when the need to model the effects of product and process design changes are also considered. Yet there could be considerable benefits in designing supply chains taking into account the operation of the supply chain as well as the design of the product and the design of the manufacturing processes used in the supply chain. This paper aims to address the central research issue of developing a methodology that can assist a manager in making decisions by modeling both the operation of a supply chain design and the effects of product and process design decisions. The proposed methodology, called Product Chain Decision Model (PCDM), is presented in this paper. This uses an abstracted network to model supply chain systems. Finally, an industry example of joint supply chain and product design is described to illustrate the application of PCDM.

[1]  MengChu Zhou,et al.  Petri Nets in Flexible and Agile Automation , 1995 .

[2]  Yossi Aviv,et al.  Gaining Benefits from Joint Forecasting and Replenishment Processes: The Case of Auto-Correlated Demand , 2001, Manuf. Serv. Oper. Manag..

[3]  Hau L. Lee,et al.  Decentralized Multi-Echelon Supply Chains: Incentives and Information , 1999 .

[4]  Mike Wright,et al.  Petri net-based modelling of workflow systems: An overview , 2001, Eur. J. Oper. Res..

[5]  Hong Yan,et al.  A strategic model for supply chain design with logical constraints: formulation and solution , 2003, Comput. Oper. Res..

[6]  Alan A. Desrochers,et al.  Applications of Petri Nets in Manufacturing Systems: Modeling, Control, and Performance Analysis , 1994 .

[7]  Warren H. Hausman,et al.  Supply Chain Performance Metrics , 2004 .

[8]  Mohamed Mohamed Naim,et al.  Business process re-engineering an electronic products supply chain , 1995 .

[9]  Hau L. Lee.  Ultimate Enterprise Value Creation Using Demand-Based Management , 2001 .

[10]  Terry P. Harrison,et al.  Global Supply Chain Management at Digital Equipment Corporation , 1995 .

[11]  Krishnan S. Anand,et al.  Information and organization for horizontal multimarket coordination , 1997 .

[12]  R. Kapuściński,et al.  Value of Information in Capacitated Supply Chains , 1999 .

[13]  Ian C. Parmee,et al.  Optimization in industry , 2002 .

[14]  MengChu Zhou,et al.  Petri nets and industrial applications: A tutorial , 1994, IEEE Trans. Ind. Electron..

[15]  G. Maddala,et al.  The Pooling Problem , 1996 .

[16]  Randall P. Sadowski,et al.  Introduction to Simulation Using Siman , 1990 .

[17]  Srinivasan Raghunathan,et al.  Information Sharing in a Supply Chain: A Note on its Value when Demand Is Nonstationary , 2001, Manag. Sci..

[18]  Awi Federgruen,et al.  Coordination Mechanisms for a Distribution System with One Supplier and Multiple Retailers , 2001, Manag. Sci..

[19]  Pingtao Yan,et al.  Modeling and control of workstation level information flow in FMS using modified Petri nets , 1999, J. Intell. Manuf..

[20]  Powell E. Robinson,et al.  Flow Coordination and Information Sharing in Supply Chains: Review, Implications, and Directions for Future Research , 2002, Decis. Sci..

[21]  David Taylor,et al.  Manufacturing Operations and Supply Chain Management: The LEAN Approach , 2000 .

[22]  René David,et al.  Petri nets for modeling of dynamic systems: A survey , 1994, Autom..

[23]  Stephen F. Smith,et al.  Modeling the Dynamics of Supply Chains , 1994 .

[24]  R. Handfield,et al.  Supply Chain Management: Supplier Performance and Firm Performance , 1998 .

[25]  Hongnian Yu,et al.  Combined Petri net modelling and AI-based heuristic hybrid search for flexible manufacturing systems-part I: Petri net modelling and heuristic search , 2003 .

[26]  Hau L. Lee,et al.  Material Management in Decentralized Supply Chains , 1993, Oper. Res..

[27]  Tadao Murata,et al.  Petri nets: Properties, analysis and applications , 1989, Proc. IEEE.

[28]  M. Reiman,et al.  Echelon Reorder Points, Installation Reorder Points, and the Value of Centralized Demand Information , 1998 .

[29]  Martha A. Centeno,et al.  Challenges of introducing simulation as a decision making tool , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[30]  Hau L. Lee,et al.  Information distortion in a supply chain: the bullwhip effect , 1997 .

[31]  MengChu Zhou,et al.  A Petri net approach to investigating push and pull paradigms in flexible factory automated systems , 1996 .

[32]  Frank Y. Chen,et al.  Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information.: The Impact of Forecasting, Lead Times, and Information. , 2000 .

[33]  Sameer Kumar,et al.  Reengineering: A Focus on Enterprise Integration , 2000, Interfaces.

[34]  Nicoleta S. Tipi,et al.  Modelling the dynamics of supply chains , 2000, Int. J. Syst. Sci..

[35]  A. M. Geoffrion,et al.  Multicommodity Distribution System Design by Benders Decomposition , 1974 .

[36]  K. G. Swift,et al.  Design for assembly , 1983 .

[37]  E. L. Nichols,et al.  Introduction to Supply Chain Management , 1998 .

[38]  T. Wu,et al.  A network-based approach to integrated supply chain design , 2005 .

[39]  Steven D. Eppinger,et al.  Special Issue on Design and Development: Sourcing By Design: Product Complexity and the Supply Chain , 2001, Manag. Sci..

[40]  Karl T. Ulrich,et al.  Holistic Customer Requirements and the Design-Select Decision , 1999 .

[41]  M. Swink.  Threats to new product manufacturability and the effects of development team integration processes , 1999 .

[42]  Philip M. Kaminsky,et al.  Designing and managing the supply chain : concepts, strategies, and case studies , 2007 .

[43]  Kalyan Singhal,et al.  Supply chains and compatibility among components in product design , 2002 .

[44]  L. LeeHau,et al.  Information Distortion in a Supply Chain , 1997 .

[45]  L. Ken Keys,et al.  Concurrent engineering for consumer, industrial products, and government systems , 1991 .

[46]  Marshall L. Fisher,et al.  Supply Chain Inventory Management and the Value of Shared Information , 2000 .

[47]  Christopher S. Tang,et al.  The Value of Information Sharing in a Two-Level Supply Chain , 2000 .

[48]  Jayashankar M. Swaminathan,et al.  Modeling Supply Chain Dynamics: A Multiagent Approach , 1998 .

[49]  J. Shapiro.  Modeling the Supply Chain , 2000 .

[50]  Panagiotis Kouvelis,et al.  On the Complementary Value of Accurate Demand Information and Production and Supplier Flexibility , 2002, Manuf. Serv. Oper. Manag..

[51]  V. M. Catuneanu.  Book reviewConcurrent engineering and design for manufacture of electronic products: Authors: Sammy G. Shina Publisher: Van Nostrand Reinhold, 115 Fifth Avenue, New York, New York 10003 U.S.A. x+343 pages Price: US $ 49.50 (ISBN 0-442-00616-0) (hardbound) Published 1991 , 1994 .

[52]  D. Simchi-Levi.  Designing And Managing The Supply Chain , 2007 .

[53]  Michael J. Fry,et al.  Focused Issue: The Use of Information in Managing Supply Chains, Part 2 of 2: Coordinating Production and Delivery Under a (z, Z)-Type Vendor-Managed Inventory Contract , 2001, Manuf. Serv. Oper. Manag..

[54]  MengChu Zhou,et al.  Introduction to Petri Nets in Flexible and Agile Automation , 1995 .

[55]  Hau L. Lee,et al.  Information sharing in a supply chain , 2000, Int. J. Manuf. Technol. Manag..