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A stochastic product priority optimi...
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Xiong, Xiong.
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A stochastic product priority optimization method for remanufacturing system based on genetic algorithm.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
A stochastic product priority optimization method for remanufacturing system based on genetic algorithm./
Author:
Xiong, Xiong.
Description:
89 p.
Notes:
Source: Masters Abstracts International, Volume: 49-02, page: 1336.
Contained By:
Masters Abstracts International49-02.
Subject:
Engineering, General. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1482362
ISBN:
9781124253183
A stochastic product priority optimization method for remanufacturing system based on genetic algorithm.
Xiong, Xiong.
A stochastic product priority optimization method for remanufacturing system based on genetic algorithm.
- 89 p.
Source: Masters Abstracts International, Volume: 49-02, page: 1336.
Thesis (M.S.)--The University of Texas - Pan American, 2010.
Increasing number of manufacturers are developing remanufacturing facilities to recover end-of-life products for product/component reuse and material recycling while the high uncertainty pattern of returned products complicates the production planning. In this thesis a stochastic production priority optimization method, considering various priority concerns for remanufacturing systems is developed. Priority ranking and matching algorithm is developed to determine the priority rule, using thirteen weighting factors. Queueing models are developed to formulate the objective function, a genetic algorithm is then developed to search optimal solution under different business configurations. Result of this research will provide insights to priority assignment mechanism, which in turn provides support to manufacturers in decision-making in production planning thus improving the performance of remanufacturing systems. Key words: Remanufacturing, Priority, Optimization, Genetic Algorithm, Production planning.
ISBN: 9781124253183Subjects--Topical Terms:
1020744
Engineering, General.
A stochastic product priority optimization method for remanufacturing system based on genetic algorithm.
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A stochastic product priority optimization method for remanufacturing system based on genetic algorithm.
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89 p.
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Source: Masters Abstracts International, Volume: 49-02, page: 1336.
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Adviser: Jianzhi Li.
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Thesis (M.S.)--The University of Texas - Pan American, 2010.
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Increasing number of manufacturers are developing remanufacturing facilities to recover end-of-life products for product/component reuse and material recycling while the high uncertainty pattern of returned products complicates the production planning. In this thesis a stochastic production priority optimization method, considering various priority concerns for remanufacturing systems is developed. Priority ranking and matching algorithm is developed to determine the priority rule, using thirteen weighting factors. Queueing models are developed to formulate the objective function, a genetic algorithm is then developed to search optimal solution under different business configurations. Result of this research will provide insights to priority assignment mechanism, which in turn provides support to manufacturers in decision-making in production planning thus improving the performance of remanufacturing systems. Key words: Remanufacturing, Priority, Optimization, Genetic Algorithm, Production planning.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1482362
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