Multi-population genetic algorithm to solve the synchronized and integrated two-level lot sizing and scheduling problem
نویسندگان
چکیده
منابع مشابه
Multi-Population Genetic Algorithm to Solve the Synchronized and Integrated Two-Level Lot Sizing and Scheduling Problem
This paper introduces an evolutionary algorithm as a procedure to solve the Synchronized and Integrated Two-Level Lot Sizing and Scheduling Problem (SITLSP). This problem can be found in some industrial settings, mainly soft drink companies, where the production process involves two interdependent levels with decisions concerning raw material storage and soft drink bottling. The challenge is to...
متن کاملA Genetic Algorithm Approach to Solve the Synchronized and Integrated Two-Level Lot Sizing and Scheduling Problem
This paper proposes a Genetic Algorithm approach to solve the Synchronized and Integrated Two-Level Lot Sizing and Scheduling Problem (SITLSP). This problem can be found in some industrial settings, mainly soft drink companies, where the production process involves two interdependent levels with decisions concerning raw material storage and soft drink bottling. The challenge is to simultaneousl...
متن کاملThe Synchronized and Integrated Two-Level Lot Sizing and Scheduling Problem: Evaluating the Generalized Mathematical Model
1Department of Computer Systems, Institute for Science Mathematics and Computing, Universidade de São Paulo, 13566-590 São Carlos, SP, Brazil 2Department of Technology and Operations Management, Mercator School of Management, University of Duisburg-Essen, 47057 Duisburg, Germany 3Department of Mathematics, Statistics and Computer Sciences, Universidade Estadual Paulista, 19060-900 Presidente Pr...
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The multi-level lot-sizing (MLLS) problem in material requirements planning (MRP) systems belongs to those problems that industry manufacturers daily face in organizing their overall production plans. However, this combinatorial optimization problem can be solved optimally in a reasonable CPU only when very small instances are considered. This legitimates the search for heuristic techniques tha...
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This paper reports a lot-sizing and scheduling problem, which minimizes inventory and backlog costs of multiple products on M parallel machines with sequence-dependent set-up times over T periods. Problem solutions are represented as product subsets (ordered or unordered) for each machine m at each period t. The optimal lot sizes are then determined applying a linear program. A genetic algorith...
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ژورنال
عنوان ژورنال: International Journal of Production Research
سال: 2009
ISSN: 0020-7543,1366-588X
DOI: 10.1080/00207540701675833