A strongly polynomial minimum cost circulation algorithm
Combinatorica
Solving multi-item capacitated lot-sizing problems using variable redefinition
Operations Research
Capacitated lot sizing with setup times
Management Science
Facets and algorithms for capacitated lot sizing
Mathematical Programming: Series A and B
Analysis of relaxations for the multi-item capacitated lot-sizing problem
Annals of Operations Research
A modified genetic algorithm for single machine scheduling
Computers and Industrial Engineering
Manufacturing 2: shop scheduling using Tabu search and simulation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Optimization of production plan through simulation techniques
WSEAS Transactions on Information Science and Applications
A modified particle swarm optimization for production planningproblems in the TFT Array process
Expert Systems with Applications: An International Journal
Annual production budget in the beverage industry
Engineering Applications of Artificial Intelligence
MIP formulations and heuristics for two-level production-transportation problems
Computers and Operations Research
Information Sciences: an International Journal
A Lagrangean heuristic for a two-echelon storage capacitated lot-sizing problem
Journal of Intelligent Manufacturing
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This paper addresses scheduling of lot sizes in a multi-plant, multi-item, multi-period, capacitated environment with inter-plant transfers. A real-world problem in a company manufacturing steel rolled products provided motivation to this research. A Lagrangean-based approach, embedded with a lot shifting-splitting-merging routine, has been used for solving the multi-plant, capacitated lot-sizing problem. A "good" solution procedure developed by Sambasivan (Ph.D. Dissertation, University of Alabama, Tuscaloosa, 1994) has been used for solving the relaxed problem. About 120 randomly generated instances of the problem have been solved and it has been found that Lagrangean-based approach works quite "efficiently" for this problem.