Future paths for integer programming and links to artificial intelligence
Computers and Operations Research - Special issue: Applications of integer programming
Determining lot sizes and resource requirements: A review
Operations Research
Capacitated lot sizing with setup times
Management Science
Tabu search and design optimization
Computer-Aided Design
Applying tabu search to the job-shop scheduling problem
Annals of Operations Research - Special issue on Tabu search
Modern heuristic techniques for combinatorial problems
Computers and Industrial Engineering
Computers and Operations Research
Material Requirements Planning: The New Way of Life in Production and Inventory Management
Material Requirements Planning: The New Way of Life in Production and Inventory Management
Tabu Search
Computers and Electronics in Agriculture
Original paper: Should feed mills go beyond traditional least cost formulation?
Computers and Electronics in Agriculture
Tabu search to solve the synchronized and integrated two-level lot sizing and scheduling problem
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Annual production budget in the beverage industry
Engineering Applications of Artificial Intelligence
Computers and Operations Research
Discrete Event Dynamic Systems
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This study considers production planning problems involving multiple products, multiple resources, multiple periods, setup times, and setup costs. It can be formulated as a mixed integer program (MIP). Solving a realistic MIP production planning problem is NP-hard; therefore, we use tabu search methods to solve such a difficult problem. Furthermore, we improve tabu search by a new candidate list strategy, which sorts the neighbor solutions using post-optimization information provided by the final tableau of the linear programming simplex algorithm. A neighbor solution with higher priority in the ranking sequence has a higher probability of being the best neighbor solution of a current solution. According to our experiments, the proposed candidate list strategy tabu search produces a good solution faster than the traditional simple tabu search. This study also suggests that if the evaluation of the entire neighborhood space in a tabu search algorithm takes too much computation and if an efficient and effective heuristic to rank the neighbor solutions can be developed, the speed of tabu search algorithm could be significantly increased by using the proposed candidate list strategy.