What is it about?
A proposed hybrid simulation optimisation algorithm, where outputs are exchanging between Mixed-Integer Linear Programming (MILP) and simulation models, is presented to search for optimality.
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Why is it important?
The main goal of the study is to find an optimal inventory control policy in a hybrid manufacturing and remanufacturing system using the new proposed hybrid simulation optimization algorithm The study can make a contribution on recommending the best operating solution, especially with the coordinated scheme, under an uncertain environment.
Perspectives
The proposed Hybrid Algorithm can find the optimal result in an uncertain environment as an alternative to the simulation-based optimisation, especially when some simulation software do not provide a built-in optimisation module, and also reach the optimal result with a fewer number of iterations.
Dr. Navee Chiadamrong
Thammasat University
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This page is a summary of: Optimal inventory control policy of a hybrid manufacturing – remanufacturing system using a hybrid simulation optimisation algorithm, Journal of Simulation, October 2017, Taylor & Francis,
DOI: 10.1080/17477778.2017.1387334.
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