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Engineering and manufacturing industries

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Optimal production run for processes with constant and random drifts

Article Abstract:

Optimal production processes with constant and random drifts have been studied by developing two mathematical models. The first model assumes that the drift is linear while the second model considers the rate of drift in the mean to be random. Further assumptions were made in formulating the two models: the mean has been set at the beginning and drifts with time in a continuous fashion; the production of defective items is allowed if it leads to a total minimum cost; adjustment sets the mean back to the original value; and the variance is constant and known.

Author: Raouf, A., Sultan, Khaled S., al
Publisher: Elsevier Science Publishers
Publication Name: International Journal of Production Economics
Subject: Engineering and manufacturing industries
ISSN: 0925-5273
Year: 1998

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A genetic algorithm method for one-dimensional machine location problems

Article Abstract:

A new genetic algorithm approach is proposed to solve the one-dimensional machine location problem. The goal is to minimize the total backtracking of jobs, a task which can be formulated as a quadratic assignment problem. Comparison with other methods shows that the proposed genetic algorithm method is effective in finding a good quality solution and thus is a good approach for solving the one-dimensional machine location problems, particularly when there is a considerably large number of machines.

Author: Yamazaki, Genji, Gen, Mitsuo, Gong, Dijin, Xu, Weixuan
Publisher: Elsevier Science Publishers
Publication Name: International Journal of Production Economics
Subject: Engineering and manufacturing industries
ISSN: 0925-5273
Year: 1999
Engineering Services, ENGINEERING & MANAGEMENT SERVICES, Engineering For Manufacturing, Usage, Algorithms

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A sequencing problem to level part usage rates and work loads for a mixed-model assembly line with a bypass subline

Article Abstract:

A sequencing problem that levels the machine part usage rates and work loads for a mixed-model assembly line with a bypass subline is proposed. In addition, three different algorithms based on tabu search, goal chasing method and dynamic programming are developed and implemented to solve the sequencing problem. It is shown through numerical examples that the proposed approach yields the precise solution in a good computation time.

Author: Ohno, Katsuhisa, Tamura, Takayoshi, Long, Hong
Publisher: Elsevier Science Publishers
Publication Name: International Journal of Production Economics
Subject: Engineering and manufacturing industries
ISSN: 0925-5273
Year: 1999
MISCELLANEOUS MANUFACTURING INDUSTRIES, Manufacturing NEC, All Other Miscellaneous Manufacturing, Manufacturing industries, Assembly-line methods, Assembly lines, Sequential machine theory, Machine parts

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Subjects list: Models, Manufacturing processes, Manufacturing, Production management, Production engineering
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