Journal of Computational and Applied Mathematics - Special issue in honor of Professor Dr. F. Broeckx
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
Modelling Practical Lot-Sizing Problems as Mixed-Integer Programs
Management Science
The Capacitated Lot-Sizing Problem with Linked Lot Sizes
Management Science
Hybrid heuristics for planning lot setups and sizes
Computers and Industrial Engineering
Computers and Operations Research
Computers and Operations Research
Lot sizing and furnace scheduling in small foundries
Computers and Operations Research
Lot sizing and sequencing optimisation at an animal-feed plant
Computers and Industrial Engineering
Computers and Operations Research
Scheduling production for a sawmill: A comparison of a mathematical model versus a heuristic
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
A knapsack problem as a tool to solve the production planning problem in small foundries
Computers and Operations Research
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 Industrial Engineering
Hi-index | 0.01 |
A lot sizing and scheduling problem from a foundry is considered in which key materials are produced and then transformed into many products on a single machine. A mixed integer programming (MIP) model is developed, taking into account sequence-dependent setup costs and times, and then adapted for rolling horizon use. A relax-and-fix (RF) solution heuristic is proposed and computationally tested against a high-performance MIP solver. Three variants of local search are also developed to improve the RF method and tested. Finally the solutions are compared with those currently practiced at the foundry.