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    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 13/05/2016, available online: http://www.tandfonline.com/10.1080/09537287.2016.1183831

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Load oriented order release (LOOR) revisited: bringing it back to the state of the art

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Load oriented order release (LOOR) revisited : bringing it back to the state of the art. / Yan, Haoyun; Stevenson, Mark; Hendry, Linda Caroline et al.

In: Production Planning and Control, Vol. 27, No. 13, 2016, p. 1078-1091.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Yan H, Stevenson M, Hendry LC, Land MJ. Load oriented order release (LOOR) revisited: bringing it back to the state of the art. Production Planning and Control. 2016;27(13):1078-1091. Epub 2016 May 13. doi: 10.1080/09537287.2016.1183831

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Bibtex

@article{b545aa35aa244ddfb4fc94c84a35e4bf,
title = "Load oriented order release (LOOR) revisited: bringing it back to the state of the art",
abstract = "In the workload control literature, the Load-Oriented Order Release (LOOR) approach has been neglected since its robustness was questioned at the end of the 1990s. This paper revisits LOOR and evaluates whether its performance can be improved in two ways. First, an intermediate pull release mechanism is added to avoid starvation between periodic release events. This mechanism was recently shown to be effective at improving the performance of a state-of-the-art release method known as LUMS COR. Second, an integer linear programming model is used to manage the trade-off between the timing and load balancing functions of order release. The two refinements are assessed using simulations of different shop configurations, which allow us to evaluate robustness. Results demonstrate that the refinements contribute to improving the performance of LOOR such that it can even outperform LUMS COR. Perhaps counter-intuitively, putting more emphasis on load balancing than on the urgency of individual orders is shown to lead to a lower percentage of tardy orders. Overall, the improvements mean that concerns about LOOR{\textquoteright}s robustness are no longer valid – it now appears suitable for a wide range of shops found in practice.",
keywords = "Workload control (WLC), intermediate pull release, load balancing, job shop, simulation",
author = "Haoyun Yan and Mark Stevenson and Hendry, {Linda Caroline} and Land, {Martin J.}",
note = "This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 13/05/2016, available online: http://www.tandfonline.com/10.1080/09537287.2016.1183831",
year = "2016",
doi = "10.1080/09537287.2016.1183831",
language = "English",
volume = "27",
pages = "1078--1091",
journal = "Production Planning and Control",
issn = "0953-7287",
publisher = "Taylor and Francis Ltd.",
number = "13",

}

RIS

TY - JOUR

T1 - Load oriented order release (LOOR) revisited

T2 - bringing it back to the state of the art

AU - Yan, Haoyun

AU - Stevenson, Mark

AU - Hendry, Linda Caroline

AU - Land, Martin J.

N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 13/05/2016, available online: http://www.tandfonline.com/10.1080/09537287.2016.1183831

PY - 2016

Y1 - 2016

N2 - In the workload control literature, the Load-Oriented Order Release (LOOR) approach has been neglected since its robustness was questioned at the end of the 1990s. This paper revisits LOOR and evaluates whether its performance can be improved in two ways. First, an intermediate pull release mechanism is added to avoid starvation between periodic release events. This mechanism was recently shown to be effective at improving the performance of a state-of-the-art release method known as LUMS COR. Second, an integer linear programming model is used to manage the trade-off between the timing and load balancing functions of order release. The two refinements are assessed using simulations of different shop configurations, which allow us to evaluate robustness. Results demonstrate that the refinements contribute to improving the performance of LOOR such that it can even outperform LUMS COR. Perhaps counter-intuitively, putting more emphasis on load balancing than on the urgency of individual orders is shown to lead to a lower percentage of tardy orders. Overall, the improvements mean that concerns about LOOR’s robustness are no longer valid – it now appears suitable for a wide range of shops found in practice.

AB - In the workload control literature, the Load-Oriented Order Release (LOOR) approach has been neglected since its robustness was questioned at the end of the 1990s. This paper revisits LOOR and evaluates whether its performance can be improved in two ways. First, an intermediate pull release mechanism is added to avoid starvation between periodic release events. This mechanism was recently shown to be effective at improving the performance of a state-of-the-art release method known as LUMS COR. Second, an integer linear programming model is used to manage the trade-off between the timing and load balancing functions of order release. The two refinements are assessed using simulations of different shop configurations, which allow us to evaluate robustness. Results demonstrate that the refinements contribute to improving the performance of LOOR such that it can even outperform LUMS COR. Perhaps counter-intuitively, putting more emphasis on load balancing than on the urgency of individual orders is shown to lead to a lower percentage of tardy orders. Overall, the improvements mean that concerns about LOOR’s robustness are no longer valid – it now appears suitable for a wide range of shops found in practice.

KW - Workload control (WLC)

KW - intermediate pull release

KW - load balancing

KW - job shop

KW - simulation

U2 - 10.1080/09537287.2016.1183831

DO - 10.1080/09537287.2016.1183831

M3 - Journal article

VL - 27

SP - 1078

EP - 1091

JO - Production Planning and Control

JF - Production Planning and Control

SN - 0953-7287

IS - 13

ER -