Title: Joint optimisation of all inspection parameters for multistage processes: evolutionary algorithm and simulation
Authors: Sofie Van Volsem
Addresses: Department of Industrial Management, Faculty of Engineering, Ghent University, Technologiepark 903, B 9052 Zwijnaarde, Belgium
Abstract: The allocation of inspection effort in multistage manufacturing systems has been well studied over the last decades. However, joint optimisation of all inspection parameters (inspection location, inspection type, inspection limits and sampling characteristics) in order to obtain an efficient inspection strategy that results in the lowest total inspection cost, has to our knowledge not been addressed before. To solve this problem, we propose a metaheuristic solution approach, namely an evolutionary algorithm (EA). Simulation is used to calculate the inspection costs for every candidate solution. A test set of problem instances is suggested to explore the characteristics and possibilities of the proposed EA metaheuristic.
Keywords: metaheuristics; evolutionary algorithms; simulation; inspection allocation; joint optimisation; test sets; quality economics; multistage manufacturing; inspection parameters; inspection location; inspection type; inspection limits; sampling characteristics.
International Journal of Innovative Computing and Applications, 2010 Vol.2 No.3, pp.170 - 177
Published online: 13 Jun 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article