Dynamic control of a cellular-line production system under variations in the product mix

Kuroda, Mitsuru; Takahiro, Tomita; Maeda, Kengo

doi:10.1016/s0925-5273(98)00158-3

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…Genetic Algorithm is a popular heuristic search technique and has proved superior performance on complex optimization problem. Kuroda et al (1999) formulated the designing and controlling problems of cellular-line systems and solved them using a genetic algorithm. Liu (2007) developed a data mining algorithm for designing the conventional cellular manufacturing systems.…”

Section: Genetic Algorithm-based Approachesmentioning

confidence: 99%

Recent development of cellular manufacturing systems

Arora¹,

Haleem

Singh³

2013

Sadhana

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Section: Genetic Algorithm-based Approachesmentioning

confidence: 99%

Recent development of cellular manufacturing systems

Arora¹,

Haleem

Singh³

2013

Sadhana

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“…A genetic algorithm approach was also proposed. Kuroda et al (1999) proposed a methodology to attempt the above problem in order to drastically reduce the lead times. It consists of multiple cellular lines having several types of facilities.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of dedicated, shared and remainder cells in a probabilistic demand environment

Süer

Huang

Maddisetty

2009

International Journal of Production Research

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In this paper, a new layered cellular manufacturing system is proposed to form dedicated, shared and remainder cells to deal with the probabilistic demand, and later its performance is compared with the classical cellular manufacturing system. In the layered cellular design, each family may need more than one cell to cover capacity requirements. The proposed approach for layered cellular design involves five stages: (1) product clustering, (2) identifying number of cells and demand coverage probabilities, (3) determining cell types using the proposed heuristic procedure, (4) performing simulation to determine operating conditions and (5) statistical analysis to pick the best design configuration among layered cellular designs. Simulation and statistical analysis are performed to help identify the best design within and among both layered cellular design and classical cellular design. It was observed that as the number of part families increased, the number of machines needed to process the parts decreased first. Then the number of machines started to increase once again as the number of part families continued to increase. Another observation was that the average flow time and total WIP were not always the lowest when additional machines were used by the system. The last and the most important observation was that the layered cellular system provided much better results than the classical cellular system when high demand fluctuation was observed.

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Robust design of a cellular-line production system with unreliable facilities

Kuroda

Takahiro

2005

Computers & Industrial Engineering

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Dynamic control of a cellular-line production system under variations in the product mix

Cited by 6 publications

References 3 publications

Recent development of cellular manufacturing systems

Recent development of cellular manufacturing systems

Design of dedicated, shared and remainder cells in a probabilistic demand environment

Robust design of a cellular-line production system with unreliable facilities

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