Genetic algorithm for solving the lotsizing and scheduling problem with sequence dependent setup cos...
Genetic algorithm for solving the lotsizing and scheduling problem with sequence dependent setup costs
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Publisher
Barranquilla: Fundación Universidad del Norte
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Language
Spanish
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Publisher
Barranquilla: Fundación Universidad del Norte
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Scope and Contents
Contents
The main purpose of this paper is to develop a hybrid genetic algorithm in order to determine the lot sizes and their production scheduling in a single machine manufacturing system for multi-item orders, the objective function minimizes the sum of holding costs, tardy costs and setup costs. The problem considers a set of orders to be processed each...
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Full title
Genetic algorithm for solving the lotsizing and scheduling problem with sequence dependent setup costs
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TN_cdi_proquest_journals_1787274813
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1787274813
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ISSN
0122-3461
E-ISSN
2145-9371