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    Rights statement: This is the author’s version of a work that was accepted for publication in International Journal of Production Economics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Production Economics, 172, 2016 DOI: 10.1016/j.ijpe.2015.11.003

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Card-based delivery date promising in high-variety manufacturing with order release control

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Card-based delivery date promising in high-variety manufacturing with order release control. / Thurer, Matthias; Land, Martin; Stevenson, Mark et al.
In: International Journal of Production Economics, Vol. 172, 02.2016, p. 19-30.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Thurer M, Land M, Stevenson M, Fredendall LD. Card-based delivery date promising in high-variety manufacturing with order release control. International Journal of Production Economics. 2016 Feb;172:19-30. Epub 2015 Nov 28. doi: 10.1016/j.ijpe.2015.11.003

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Bibtex

@article{dce9990319c04f41be8502ea667080b5,
title = "Card-based delivery date promising in high-variety manufacturing with order release control",
abstract = "Card-based systems – like Kanban and Constant Work-in-Process (ConWIP) – can be simple yet effective means of controlling production. Existing systems, however, can be criticized for their limited applicability and scope. First, card-based systems have not been successful in the production environments that are arguably most in need of their help: complex job shops that produce low-volume, high-variety products. Second, while most existing systems simplify shop floor control, other planning tasks – such as the estimation of short, feasible due dates during customer enquiry management – are not supported. To overcome these limitations, a card-based version of Workload Control – known as COBACABANA (COntrol of BAlance by CArd-BAsed Navigation) – was recently proposed that uses cards for both due date estimation and order release control. This unique combination makes COBACABANA a potentially important means of controlling production, particularly for small job shops with limited resources. However, the original approach had several shortcomings. This paper refines the due date estimation procedure of COBACABANA to make it more practical and consistent with the order release method applied. It then uses simulation to demonstrate – for the first time – the potential of COBACABANA as an integrated concept that combines customer enquiry management and order release control to improve job shop performance. Results also suggest that the need for processing time estimations can be simplified, further facilitating the implementation of COBACABANA in practice.",
keywords = "Workload control, Card-based control, Job shop, Customer enquiry management, Order release, COBACABANA",
author = "Matthias Thurer and Martin Land and Mark Stevenson and Fredendall, {Lawrence D.}",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in International Journal of Production Economics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Production Economics, 172, 2016 DOI: 10.1016/j.ijpe.2015.11.003",
year = "2016",
month = feb,
doi = "10.1016/j.ijpe.2015.11.003",
language = "English",
volume = "172",
pages = "19--30",
journal = "International Journal of Production Economics",
issn = "0925-5273",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - Card-based delivery date promising in high-variety manufacturing with order release control

AU - Thurer, Matthias

AU - Land, Martin

AU - Stevenson, Mark

AU - Fredendall, Lawrence D.

N1 - This is the author’s version of a work that was accepted for publication in International Journal of Production Economics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Production Economics, 172, 2016 DOI: 10.1016/j.ijpe.2015.11.003

PY - 2016/2

Y1 - 2016/2

N2 - Card-based systems – like Kanban and Constant Work-in-Process (ConWIP) – can be simple yet effective means of controlling production. Existing systems, however, can be criticized for their limited applicability and scope. First, card-based systems have not been successful in the production environments that are arguably most in need of their help: complex job shops that produce low-volume, high-variety products. Second, while most existing systems simplify shop floor control, other planning tasks – such as the estimation of short, feasible due dates during customer enquiry management – are not supported. To overcome these limitations, a card-based version of Workload Control – known as COBACABANA (COntrol of BAlance by CArd-BAsed Navigation) – was recently proposed that uses cards for both due date estimation and order release control. This unique combination makes COBACABANA a potentially important means of controlling production, particularly for small job shops with limited resources. However, the original approach had several shortcomings. This paper refines the due date estimation procedure of COBACABANA to make it more practical and consistent with the order release method applied. It then uses simulation to demonstrate – for the first time – the potential of COBACABANA as an integrated concept that combines customer enquiry management and order release control to improve job shop performance. Results also suggest that the need for processing time estimations can be simplified, further facilitating the implementation of COBACABANA in practice.

AB - Card-based systems – like Kanban and Constant Work-in-Process (ConWIP) – can be simple yet effective means of controlling production. Existing systems, however, can be criticized for their limited applicability and scope. First, card-based systems have not been successful in the production environments that are arguably most in need of their help: complex job shops that produce low-volume, high-variety products. Second, while most existing systems simplify shop floor control, other planning tasks – such as the estimation of short, feasible due dates during customer enquiry management – are not supported. To overcome these limitations, a card-based version of Workload Control – known as COBACABANA (COntrol of BAlance by CArd-BAsed Navigation) – was recently proposed that uses cards for both due date estimation and order release control. This unique combination makes COBACABANA a potentially important means of controlling production, particularly for small job shops with limited resources. However, the original approach had several shortcomings. This paper refines the due date estimation procedure of COBACABANA to make it more practical and consistent with the order release method applied. It then uses simulation to demonstrate – for the first time – the potential of COBACABANA as an integrated concept that combines customer enquiry management and order release control to improve job shop performance. Results also suggest that the need for processing time estimations can be simplified, further facilitating the implementation of COBACABANA in practice.

KW - Workload control

KW - Card-based control

KW - Job shop

KW - Customer enquiry management

KW - Order release

KW - COBACABANA

U2 - 10.1016/j.ijpe.2015.11.003

DO - 10.1016/j.ijpe.2015.11.003

M3 - Journal article

VL - 172

SP - 19

EP - 30

JO - International Journal of Production Economics

JF - International Journal of Production Economics

SN - 0925-5273

ER -