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Appraising redundancy in facility layout

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Appraising redundancy in facility layout. / Zhao, Yifei; Wallace, Stein William.

In: International Journal of Production Research, Vol. 54, No. 3, 2016, p. 665-679.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Zhao, Y & Wallace, SW 2016, 'Appraising redundancy in facility layout', International Journal of Production Research, vol. 54, no. 3, pp. 665-679. https://doi.org/10.1080/00207543.2015.1030041

APA

Vancouver

Zhao Y, Wallace SW. Appraising redundancy in facility layout. International Journal of Production Research. 2016;54(3):665-679. https://doi.org/10.1080/00207543.2015.1030041

Author

Zhao, Yifei ; Wallace, Stein William. / Appraising redundancy in facility layout. In: International Journal of Production Research. 2016 ; Vol. 54, No. 3. pp. 665-679.

Bibtex

@article{28c92db8943949abbed9e8479e214083,
title = "Appraising redundancy in facility layout",
abstract = "Introducing redundancy into facility layout designs reduces material handling costs by shortening the total distance travelled by materials and tools, since redundancy allows for shorter flow routes. In our setting, jobs and volumes (demands) are random, and machines have limited capacities. We present a model for determining which machine types should be duplicated (i.e. having more copies than necessary), given the number of extra positions available in the facility. The model is naturally an extension of the quadratic assignment model, and hence very hard, if not impossible, to solve exactly for even moderate problem dimensions. A myopic approach is proposed. We show numerically that the myopic approach is valid, before we, qualitatively, based on the approach, describe a decision-rule determining a good choice of redundant machine types. This very simple description produces the optimal choice of redundant machine types in most situations. In this way, our results add to the understanding of the problem itself, not just to its solution.",
keywords = "facility layout, stochastic demand, redundancy",
author = "Yifei Zhao and Wallace, {Stein William}",
year = "2016",
doi = "10.1080/00207543.2015.1030041",
language = "English",
volume = "54",
pages = "665--679",
journal = "International Journal of Production Research",
issn = "0020-7543",
publisher = "Taylor and Francis Ltd.",
number = "3",

}

RIS

TY - JOUR

T1 - Appraising redundancy in facility layout

AU - Zhao, Yifei

AU - Wallace, Stein William

PY - 2016

Y1 - 2016

N2 - Introducing redundancy into facility layout designs reduces material handling costs by shortening the total distance travelled by materials and tools, since redundancy allows for shorter flow routes. In our setting, jobs and volumes (demands) are random, and machines have limited capacities. We present a model for determining which machine types should be duplicated (i.e. having more copies than necessary), given the number of extra positions available in the facility. The model is naturally an extension of the quadratic assignment model, and hence very hard, if not impossible, to solve exactly for even moderate problem dimensions. A myopic approach is proposed. We show numerically that the myopic approach is valid, before we, qualitatively, based on the approach, describe a decision-rule determining a good choice of redundant machine types. This very simple description produces the optimal choice of redundant machine types in most situations. In this way, our results add to the understanding of the problem itself, not just to its solution.

AB - Introducing redundancy into facility layout designs reduces material handling costs by shortening the total distance travelled by materials and tools, since redundancy allows for shorter flow routes. In our setting, jobs and volumes (demands) are random, and machines have limited capacities. We present a model for determining which machine types should be duplicated (i.e. having more copies than necessary), given the number of extra positions available in the facility. The model is naturally an extension of the quadratic assignment model, and hence very hard, if not impossible, to solve exactly for even moderate problem dimensions. A myopic approach is proposed. We show numerically that the myopic approach is valid, before we, qualitatively, based on the approach, describe a decision-rule determining a good choice of redundant machine types. This very simple description produces the optimal choice of redundant machine types in most situations. In this way, our results add to the understanding of the problem itself, not just to its solution.

KW - facility layout

KW - stochastic demand

KW - redundancy

U2 - 10.1080/00207543.2015.1030041

DO - 10.1080/00207543.2015.1030041

M3 - Journal article

VL - 54

SP - 665

EP - 679

JO - International Journal of Production Research

JF - International Journal of Production Research

SN - 0020-7543

IS - 3

ER -