Analysis of multi-company collaborative supply chain management using mixed integer linear programming

Abstract

ABSTRACT Production systems must interact with other systems for a better performance. The interaction among production systems is usually established when these systems exchange materials. Integrated analysis of different production systems can provide valuable insight and identify improvements in the financial and environmental performance of industrial supply chain systems. The optimal integration of production systems at an industrial zone for multi-period operation has been addressed in this thesis. A systematic approach to identify the synergy among different companies at the strategic level has been developed. The proposed approach uses three steps; the generation of standardized models for process equipment in the production systems, integration of these models that make up the supply chain system, and solution of the model and analysis of the results. The approach includes detailed MILP models for each production system to realize collaboration in a multi-period setting. The 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 collaboration in supply chain systems. T.C. YOKSEK^RCTiM KURULU iv B9KUMANTm*yQN MERKEZİ