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Business, international

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Abstracts » Business, international

Redundancy optimization problems with uncertainty of combining randomness and fuzziness

Article Abstract:

The study identifies three types of system performance - expected system lifetime, (alpha, beta)-system lifetime and system reliability - by using random fuzzy lifetimes as basic parameters. The proposed approach is successfully used to solve various complex systems such as multistage and communication network systems.

Author: Ruiqing Zhao, Baoding Liu
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2004
Reliability (Engineering)

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Ant colony optimization algorithm to the inter-cell layout problem in cellular manufacturing

Article Abstract:

A study examines the inter-cell layout problem, modeled as a quadratic assignment problem (QAP), and presents a mathematical formulation for material flow between the cells. Experimental results demonstrate that the proposed ant algorithm performs significantly better than the facility layout algorithms.

Author: Solimanpur, M., Vrat, P., Shankar, R.
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2004

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The development of genetic algorithms for the finite capacity scheduling of complex products, with multiple levels of product structure

Article Abstract:

The development of a genetic algorithms based scheduling tool that takes into account multiple resource constraints and multiple levels of product structure is described. The schedules produced by the company do not perform better than the schedules produced perform using a conventional planning method.

Author: Pongcharoen, P., Hicks, C., Braiden, P. M.
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2004
Scheduling (Management), Complexes, Complexes (Mathematics)

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Subjects list: Analysis, Genetic algorithms
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