A Simulation Framework for Evaluation of Multi-objective Master Production Scheduling Policy and Rolling Schedules in Make-to-order Supply Chains

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Nedaei Hoor, Hessam | 2012

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 44024 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Mahlooji, Hashem
Abstract:
This research studies multi-objective master production schedule (MPS) and advanced order commitment (AOC) in two-stage supply chains. Simulation-based experimental analysis evaluates the impact of environmental and MPS design factors on schedule cost and instability. The results provide insight into multi-objective MPS design considerations through rolling schedule policies. The study reveals that the manufacturer's production smoothness utility coefficient and its interaction with other experimental factors considerably impact the system's performance. In addition, it introduces a simulation framework with embedded mixed integer programming models that could be used as a framework for future research dealing with integrated multi-stage MPS/AOC policy in a variety of planning behaviours
Keywords:
Simulation ; Supply Chain ; Multiobjective Optimization ; Experiments Design ; Rolling Horizon Planning

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