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  • Thurer-et-al_PPC_2017

    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 14/03/2017 available online: http://www.tandfonline.com/10.1080/09537287.2017.1302102

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    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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On the integration of due date setting and order release control

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On the integration of due date setting and order release control. / Thurer, Matthias; Land, Martin; Stevenson, Mark et al.
In: Production Planning and Control, Vol. 28, No. 5, 05.2017, p. 420-430.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Thurer, M, Land, M, Stevenson, M & Fredendall, L 2017, 'On the integration of due date setting and order release control', Production Planning and Control, vol. 28, no. 5, pp. 420-430. https://doi.org/10.1080/09537287.2017.1302102

APA

Vancouver

Thurer M, Land M, Stevenson M, Fredendall L. On the integration of due date setting and order release control. Production Planning and Control. 2017 May;28(5):420-430. Epub 2017 Mar 14. doi: 10.1080/09537287.2017.1302102

Author

Thurer, Matthias ; Land, Martin ; Stevenson, Mark et al. / On the integration of due date setting and order release control. In: Production Planning and Control. 2017 ; Vol. 28, No. 5. pp. 420-430.

Bibtex

@article{8541b973d2b349f1bd12f8efe2d5e846,
title = "On the integration of due date setting and order release control",
abstract = "This paper calls for a paradigm shift in the production control literature away from assuming duedate setting and order release are two independent decision levels. When order release iscontrolled, jobs do not enter the shop floor directly but are retained in a pre-shop pool andreleased to meet certain performance targets. This makes the setting of accurate planned releasedates – the point at which jobs transition from the pool to the shop floor – a key considerationwhen setting due dates. We develop a new approach to estimating planned release dates to beembedded in the Workload Control concept. Our approach is unique as it anticipates the releasedecision as part of the due date setting procedure. This makes a second independent releasedecision superfluous and avoids a major cause of tardiness – deviations between (i) the plannedrelease date used when calculating the delivery time allowance and (ii) the actual, realizedrelease date. Simulation is used to compare the performance of Workload Control using twodecision levels with the new single-level approach where the release decision is anticipated whensetting the due date. Performance improvements are shown to be robust to uncertainty inprocessing time estimates",
keywords = "Due Date Setting, Order Release, Workload Control, Simulation",
author = "Matthias Thurer and Martin Land and Mark Stevenson and Lawrence Fredendall",
note = "This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 14/03/2017 available online: http://www.tandfonline.com/10.1080/09537287.2017.1302102",
year = "2017",
month = may,
doi = "10.1080/09537287.2017.1302102",
language = "English",
volume = "28",
pages = "420--430",
journal = "Production Planning and Control",
issn = "0953-7287",
publisher = "Taylor and Francis Ltd.",
number = "5",

}

RIS

TY - JOUR

T1 - On the integration of due date setting and order release control

AU - Thurer, Matthias

AU - Land, Martin

AU - Stevenson, Mark

AU - Fredendall, Lawrence

N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 14/03/2017 available online: http://www.tandfonline.com/10.1080/09537287.2017.1302102

PY - 2017/5

Y1 - 2017/5

N2 - This paper calls for a paradigm shift in the production control literature away from assuming duedate setting and order release are two independent decision levels. When order release iscontrolled, jobs do not enter the shop floor directly but are retained in a pre-shop pool andreleased to meet certain performance targets. This makes the setting of accurate planned releasedates – the point at which jobs transition from the pool to the shop floor – a key considerationwhen setting due dates. We develop a new approach to estimating planned release dates to beembedded in the Workload Control concept. Our approach is unique as it anticipates the releasedecision as part of the due date setting procedure. This makes a second independent releasedecision superfluous and avoids a major cause of tardiness – deviations between (i) the plannedrelease date used when calculating the delivery time allowance and (ii) the actual, realizedrelease date. Simulation is used to compare the performance of Workload Control using twodecision levels with the new single-level approach where the release decision is anticipated whensetting the due date. Performance improvements are shown to be robust to uncertainty inprocessing time estimates

AB - This paper calls for a paradigm shift in the production control literature away from assuming duedate setting and order release are two independent decision levels. When order release iscontrolled, jobs do not enter the shop floor directly but are retained in a pre-shop pool andreleased to meet certain performance targets. This makes the setting of accurate planned releasedates – the point at which jobs transition from the pool to the shop floor – a key considerationwhen setting due dates. We develop a new approach to estimating planned release dates to beembedded in the Workload Control concept. Our approach is unique as it anticipates the releasedecision as part of the due date setting procedure. This makes a second independent releasedecision superfluous and avoids a major cause of tardiness – deviations between (i) the plannedrelease date used when calculating the delivery time allowance and (ii) the actual, realizedrelease date. Simulation is used to compare the performance of Workload Control using twodecision levels with the new single-level approach where the release decision is anticipated whensetting the due date. Performance improvements are shown to be robust to uncertainty inprocessing time estimates

KW - Due Date Setting

KW - Order Release

KW - Workload Control

KW - Simulation

U2 - 10.1080/09537287.2017.1302102

DO - 10.1080/09537287.2017.1302102

M3 - Journal article

VL - 28

SP - 420

EP - 430

JO - Production Planning and Control

JF - Production Planning and Control

SN - 0953-7287

IS - 5

ER -