Multi-company collaborative supply chain management with economical and environmental considerations

Process systems must interact with other systems for a better production performance. The interaction among process systems is usually established when these systems exchange materials such as steam and electricity. Integrated analysis of different process systems can provide valuable insight and also identify improvements in the financial and environmental performance of industrial supply chain systems. A systematic approach to identify the synergy among different process systems has been developed. The proposed approach uses three steps; the generation of standardized models for process units, integration of process unit models for the supply chain system and solution of the model and analysis of the results. The developed approach is illustrated with an example that is a simplified version of a real problem and tested on an industrial problem. It is shown that important improvements in the cost and release of environmentally harmful emissions can be accomplished by integration of different process systems.

[1]  Diane J. Reyniers,et al.  Supplier-customer interaction in quality control , 1992, Ann. Oper. Res..

[2]  John O. McClain,et al.  Coordinating production and inventory to improve service , 1997 .

[3]  Ben Hua,et al.  Supply chain optimization of continuous process industries with sustainability considerations , 2000 .

[4]  Young Hae Lee,et al.  Production-distribution planning in supply chain considering capacity constraints , 2002 .

[5]  Gerhard Schiefer,et al.  Environmental control for process improvement and process efficiency in supply chain management – the case of the meat chain , 2002 .

[6]  Luis I. Gonzalez-Monroy,et al.  Financial costs and environmental impact optimization of the energy supply systems , 2002 .

[7]  Hokey Min,et al.  Supply chain modeling: past, present and future , 2002 .

[8]  Ignacio E. Grossmann,et al.  Disjunctive Programming Techniques for the Optimization of Process Systems with Discontinuous Investment Costs−Multiple Size Regions , 1996 .

[9]  W. C. Benton,et al.  Supply chain partnerships: Opportunities for operations research , 1997 .

[10]  François Maréchal,et al.  process integration: Selection of the optimal utility system , 1998 .

[11]  Robert E. Spekman,et al.  Characteristics of partnership success: Partnership attributes, communication behavior, and conflict resolution techniques , 1994 .

[12]  Seungjin Whang,et al.  Coordination in operations: A taxonomy , 1995 .

[13]  Marc S. Mentzer.  Two heads are better than one if your company spans the globe , 1999 .

[14]  M. S. Doulah,et al.  Effect of process integration on the reduction of fuel consumption , 1996 .

[15]  Zach G. Zacharia,et al.  The nature of interfirm partnering in supply chain management , 2000 .

[16]  Mats Söderström,et al.  Optimisation modelling of industrial energy systems using MIND introducing the effect of material storage , 2002, Eur. J. Oper. Res..