AN OPTIMIZATION-BASED FRAMEWORK FOR INSPECTION PLANNING
Résumé
This paper proposes an optimization framework for inspection planning based on a mixed-integer non-linear programming (MINLP) model, in which decisions are made on what kinds of quality characteristics need which kind of inspections and where these inspections should be taken place such that total cost of production is minimized. Two different types of inspections containing Monitoring Inspection (MI) and Conformity Inspection (CI) are taken into account. In order to validate the correctness of the model, a real industrial case is studied. Since the size of problems is large, a genetic-based algorithm is developed to solve the real industrial case.
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