Supply chain multi-structural (re)-design

In the framework of Supply Chain (re)-Design (SCD), different structures (functional, organisational, informational, etc.) are (re)-formed. These structures are interrelated and change in their dynamics. How is it possible to avoid structural incoherency and consistency and to achieve comprehensiveness by (re)-designing supply chains? This paper introduces a new approach to simultaneous multi-structural SCD with structure dynamics considerations. For the conceptual and mathematical models, we propose to apply multi-structural macro-states and dynamical alternative multi-graphs. The research approach is theoretically based on the combined application of operations research, agent-based modelling and control theory. The results show the multi-structural and inter-disciplinary treatment allows comprehensive and realistic SCD problem formulation and solution. We emphasize the flexibility of the proposed approach and optimisation-supported simulation. The proposed methodology enhances managerial insight into supply chains at the strategic and tactical levels and serves to assist decision-makers in SCD.

[1]  Nilay Shah,et al.  Logistical network design with robustness and complexity considerations , 2007 .

[2]  R. Narasimhan,et al.  Supplier integration—Finding an optimal configuration , 2006 .

[3]  A. Gunasekaran,et al.  Build‐to‐order supply chain management: a literature review and framework for development , 2005 .

[4]  B. Beamon.  Supply chain design and analysis:: Models and methods , 1998 .

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

[6]  G. Stock,et al.  Enterprise logistics and supply chain structure: the role of fit , 2000 .

[7]  Hermann Kühnle,et al.  A system of models contribution to production network (PN) theory , 2007, J. Intell. Manuf..

[8]  Hamideh Afsarmanesh,et al.  Collaborative Networks and Their Breeding Environments - IFIP TC5 WG 5.5 Sixth IFIP Working Conference on Virtual Enterprises, PRE-VE 2005, 26-28 September, 2005, Valencia, Spain , 2005, PRO-VE.

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

[10]  George Q. Huang,et al.  Towards integrated optimal configuration of platform products, manufacturing processes, and supply chains , 2005 .

[11]  Boris V. Sokolov,et al.  A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations , 2010, Eur. J. Oper. Res..

[12]  John D. Sterman,et al.  Business dynamics : systems thinking and modelling for acomplex world , 2002 .

[13]  David Simchi-Levi,et al.  Supply Chain Design and Planning - Applications of Optimization Techniques for Strategic and Tactical Models , 2003, Supply Chain Management.

[14]  David Simchi-Levi,et al.  Handbook of Quantitative Supply Chain Analysis , 2004 .

[15]  G. Reiner,et al.  Customized supply chain design: Problems and alternatives for a production company in the food industry. A simulation based analysis , 2004 .

[16]  Dmitry Ivanov,et al.  DIMA—A research methodology for comprehensive multi-disciplinary modeling of production and logistics networks , 2009 .

[17]  Michael J. Magazine,et al.  Quantitative Models for Supply Chain Management , 1998 .

[18]  Boris V. Sokolov,et al.  Structure dynamics control-based framework for adaptive reconfiguration of collaborative enterprise networks , 2009, Int. J. Manuf. Technol. Manag..

[19]  Weiming Shen,et al.  Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing , 2000 .

[20]  Boris V. Sokolov,et al.  Intelligent planning and control of manufacturing supply chains in virtual enterprises , 2007, Int. J. Manuf. Technol. Manag..

[21]  Dmitry Ivanov,et al.  Integrated modelling of agile enterprise networks , 2007 .

[22]  C. Pantelides,et al.  Design of Multi-echelon Supply Chain Networks under Demand Uncertainty , 2001 .

[23]  Marc Goetschalckx,et al.  Strategic production-distribution models: A critical review with emphasis on global supply chain models , 1997 .

[24]  Sean P. Willems,et al.  Optimizing the Supply Chain Configuration for New Products , 2005, Manag. Sci..

[25]  Marc Goetschalckx,et al.  Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms , 2002, Eur. J. Oper. Res..

[26]  Boris V. Sokolov,et al.  Quantitative Models of Collaborative Networks , 2005, PRO-VE.

[27]  Donald J. Bowersox,et al.  Supply Chain Logistics Management , 2002 .

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

[29]  Marc Goetschalckx,et al.  A stochastic programming approach for supply chain network design under uncertainty , 2004, Eur. J. Oper. Res..

[30]  S. Chopra,et al.  Supply Chain Management: Strategy, Planning & Operation , 2007 .

[31]  S. Graves,et al.  Supply chain management : design, coordination and operation , 2003 .

[32]  Terry P. Harrison.  Principles for the Strategic Design of Supply Chains , 2004 .

[33]  M. Naim,et al.  Industrial Dynamics Simulation Models in the Design of Supply Chains , 1992 .

[34]  A. Borshchev,et al.  From System Dynamics and Discrete Event to Practical Agent Based Modeling : Reasons , Techniques , Tools , 2004 .

[35]  Layek Abdel-Malek,et al.  An analytical approach for evaluating and selecting vendors with interdependent performance in a supply chain , 2004 .

[36]  D. Lambert,et al.  Issues in Supply Chain Management , 2000 .

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

[38]  Marc Goetschalckx,et al.  A global supply chain model with transfer pricing and transportation cost allocation , 2001, Eur. J. Oper. Res..