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Research On Multi-Level Production Planning Problems With Remanufacturing

Posted on:2010-02-06Degree:MasterType:Thesis
Country:ChinaCandidate:S H HuangFull Text:PDF
GTID:2189360275977622Subject:Enterprise management and information technology
Abstract/Summary:PDF Full Text Request
Industrial civilization has enriched the product market, but also causes resource and energy scarcity, environmental damage and so on. To address these issues, sustainable development, circular economy, reverse logistics and closed-loop supply chain become the focus. At present, it is urgent problem to reuse, recycling and remanufacture a large number of failure and end-of-life products. In addition, we lack the theoretical research on making production plan with remanufacturing. Therefore, the hybrid manufacturing / remanufacturing lot-sizing research has important practical and theoretical significance.In this paper, we studied the multi-level capacitated production planning problems with remanufacturing, the main content includes: First, we overviewed the production planning and the relevance concept of reverse logistics. Second, we overviewed the development of multi-level lot-sizing and remanufacturing research. Third, gave a brief introduction of the basic theory of genetic algorithms and applications. Fourth, we established a mixed manufacturing / remanufacturing of multi-level capacitated lot-sizing model. By constructing a penalty function based on the search conditions and the possible degree of self-adaptive constraint violation, we transformed the capacity constraints into un-capacitated problem and solved the model with genetic algorithm. Then, we addressed the case of considering backlogging, and designed a GA-based algorithm. Finally, according to the two types of models, we designed the example of serial type and the general type product structure respectively, and validated the proposed algorithm.
Keywords/Search Tags:production planning, economic lot-sizing problem, remanufacture, backlogging, penalty function, genetic algorithm
PDF Full Text Request
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