A TARGET-ORIENTED ROBUST OPTIMIZATION APPROACH TO PRODUCTION AND LOGISTICS PLANNING SYSTEMS

Abstract

This research presents an integration of a target-oriented approach to decision making. This is depicted in problem applications falling within the contexts of production and logistics decisions in manufacturing and supply systems. The presence of uncertainties in these systems can cause undesirable behavior. Failure to account for these in the design phase can further impair the capability of systems to respond to changes effectively. Problem applications include the analysis of dynamic systems and network planning. The application of the target-oriented approach in these settings combines the strengths of recent developments in robust optimization technology, small signal stability and target achievement optimization. Numerical case studies demonstrate significant improvements of the proposed approach to the different problem applications considered in this research.