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Workload control release mechanisms: from practice back to theory building

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Workload control release mechanisms: from practice back to theory building. / Thurer, M; Silva, C; Stevenson, M.

In: International Journal of Production Research, Vol. 48, No. 12, 2010, p. 3593-3613.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Thurer, M, Silva, C & Stevenson, M 2010, 'Workload control release mechanisms: from practice back to theory building', International Journal of Production Research, vol. 48, no. 12, pp. 3593-3613. https://doi.org/10.1080/00207540902922810

APA

Thurer, M., Silva, C., & Stevenson, M. (2010). Workload control release mechanisms: from practice back to theory building. International Journal of Production Research, 48(12), 3593-3613. https://doi.org/10.1080/00207540902922810

Vancouver

Thurer M, Silva C, Stevenson M. Workload control release mechanisms: from practice back to theory building. International Journal of Production Research. 2010;48(12):3593-3613. https://doi.org/10.1080/00207540902922810

Author

Thurer, M ; Silva, C ; Stevenson, M. / Workload control release mechanisms: from practice back to theory building. In: International Journal of Production Research. 2010 ; Vol. 48, No. 12. pp. 3593-3613.

Bibtex

@article{7d5c67133e8b4f209762cbaa06d56c6b,
title = "Workload control release mechanisms: from practice back to theory building",
abstract = "Much Workload Control research has focussed on the order release stage but failed to address practical considerations that impact practical application. Order release mechanisms have been developed through simulations that neglect job size variation effects while empirical evidence suggests groups of small/large jobs are often found in practice. When job sizes vary, it is difficult to release all jobs effectively—small jobs favour a short period between releases and a tight workload bounding while large jobs require a longer period between releases and a slacker workload bounding. This paper represents a return from a case study setting to theory building. Through simulation, the impact of job sizes on overall performance is explored using all three aggregate load approaches. Options tested include: using distinct load capacities for small/large jobs and prioritising based on job size or routing length. Results suggest the best solution is assigning priority based on routing length; this improved performance, especially for large jobs, and allowed a short release period to be applied, as favoured by small jobs. These ideas have also been applied to a second practical problem: how to handle rush orders. Again, prioritisation, given to rush orders, leads to the best overall shop performance.",
keywords = "Production planning , shop floor control , supply chain management , decision support systems, production control",
author = "M Thurer and C Silva and M Stevenson",
year = "2010",
doi = "10.1080/00207540902922810",
language = "English",
volume = "48",
pages = "3593--3613",
journal = "International Journal of Production Research",
issn = "0020-7543",
publisher = "Taylor and Francis Ltd.",
number = "12",

}

RIS

TY - JOUR

T1 - Workload control release mechanisms: from practice back to theory building

AU - Thurer, M

AU - Silva, C

AU - Stevenson, M

PY - 2010

Y1 - 2010

N2 - Much Workload Control research has focussed on the order release stage but failed to address practical considerations that impact practical application. Order release mechanisms have been developed through simulations that neglect job size variation effects while empirical evidence suggests groups of small/large jobs are often found in practice. When job sizes vary, it is difficult to release all jobs effectively—small jobs favour a short period between releases and a tight workload bounding while large jobs require a longer period between releases and a slacker workload bounding. This paper represents a return from a case study setting to theory building. Through simulation, the impact of job sizes on overall performance is explored using all three aggregate load approaches. Options tested include: using distinct load capacities for small/large jobs and prioritising based on job size or routing length. Results suggest the best solution is assigning priority based on routing length; this improved performance, especially for large jobs, and allowed a short release period to be applied, as favoured by small jobs. These ideas have also been applied to a second practical problem: how to handle rush orders. Again, prioritisation, given to rush orders, leads to the best overall shop performance.

AB - Much Workload Control research has focussed on the order release stage but failed to address practical considerations that impact practical application. Order release mechanisms have been developed through simulations that neglect job size variation effects while empirical evidence suggests groups of small/large jobs are often found in practice. When job sizes vary, it is difficult to release all jobs effectively—small jobs favour a short period between releases and a tight workload bounding while large jobs require a longer period between releases and a slacker workload bounding. This paper represents a return from a case study setting to theory building. Through simulation, the impact of job sizes on overall performance is explored using all three aggregate load approaches. Options tested include: using distinct load capacities for small/large jobs and prioritising based on job size or routing length. Results suggest the best solution is assigning priority based on routing length; this improved performance, especially for large jobs, and allowed a short release period to be applied, as favoured by small jobs. These ideas have also been applied to a second practical problem: how to handle rush orders. Again, prioritisation, given to rush orders, leads to the best overall shop performance.

KW - Production planning

KW - shop floor control

KW - supply chain management

KW - decision support systems

KW - production control

U2 - 10.1080/00207540902922810

DO - 10.1080/00207540902922810

M3 - Journal article

VL - 48

SP - 3593

EP - 3613

JO - International Journal of Production Research

JF - International Journal of Production Research

SN - 0020-7543

IS - 12

ER -