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  • Thurer_et_al_IJPE_2016

    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. 174, 2016 DOI: 10.1016/j.ijpe.2016.01.005

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On the integration of input and output control: workload control order release

Research output: Contribution to journalJournal article

Published
<mark>Journal publication date</mark>04/2016
<mark>Journal</mark>International Journal of Production Economics
Volume174
Number of pages11
Pages (from-to)43-53
Publication statusPublished
Early online date15/01/16
Original languageEnglish

Abstract

Workload Control is a production planning and control concept developed for high-variety job
shops. It integrates two control mechanisms: (i) input control, to regulate the inflow of work to
the system; and (ii) output control, which uses capacity adjustments to regulate the outflow of
work from the system. Much Workload Control research has focused on input control, while
output control has been largely neglected. Only recently has research emerged that uses
Workload Control theory to guide capacity adjustments. Yet this literature focuses on capacity
adjustments (output control) only – it fails to integrate it with Workload Control’s input control
element. In response, this study explores the performance impact of Workload Control when
input control (controlled order release) and output control (capacity adjustments) are combined.
Job shop simulation results demonstrate that input and output control can and should play
complementary roles. Both elements significantly enhance performance in isolation, and
performance effects appear to complement each other. Further, results indicate that the choice of
the workload threshold that triggers capacity adjustments has a stronger impact on performance
than the actual size of the adjustment. The measure of workload used to guide the load-based
order release decision is also used to determine the workload threshold that triggers the capacity
adjustment. This facilitates implementation in practice. Finally, although our study is on
Workload Control, the findings have important implications for other production planning and
control concepts.

Bibliographic note

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. 174, 2016 DOI: 10.1016/j.ijpe.2016.01.005