Kanban, MRP and shaping the manufacturing environment
Management Science
Dynamic programming solution to the batching problem in just-in-time flow-shops
Computers and Industrial Engineering
A multi-objective scatter search for a mixed-model assembly line sequencing problem
Advanced Engineering Informatics
Computers and Industrial Engineering
Operations Research Letters
Computers and Industrial Engineering
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A dynamic programming procedure for determining the optimal just-in-time (JIT) production schedule for a mixed-model facility is presented. Compared to previously available optimization methods it substantially reduces computation and storage requirements, enabling practical-sized problems to be solved. However, there are still difficulties for solving very large problems. Heuristics, which have been proposed for these large problems, can now be evaluated by generating problems and comparing the schedules produced by the heuristics with the optimal schedule. This is done for two heuristics.