Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 26/05/2021, available online: http://www.tandfonline.com/10.1080/00207543.2021.1930240
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Order Release, Dispatching and Resource Assignment in Multiple Resource Constrained Job Shops
T2 - An Assessment by Simulation
AU - Thurer, Matthias
AU - Stevenson, Mark
N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 26/05/2021, available online: http://www.tandfonline.com/10.1080/00207543.2021.1930240
PY - 2022/6/30
Y1 - 2022/6/30
N2 - In manufacturing shops in practice, machine capacity is often constrained by more than one type of resource. Yet research mainly focusses on the effects of only one type of resource that constrains machine capacity, e.g. labour, tooling or auxiliary constraints. In response, we use simulation to assess the impact of order release, dispatching and resource assignment rules in make-to-order job shops with multiple resource constraints. The capacity wasted while a machine stands idle waiting for other resources increases with the number of constraints, and all three production planning and control functions have little impact on this waiting time. Effective production planning and control can however improve operational performance in terms of time and tardiness-related measures. In general, combining order release control with a dispatching rule that prioritises jobs for which all resources are available at dispatching and a longest queue resource assignment rule leads to the best performance. Most importantly, and rather counterintuitively, prioritising orders with the fewest missing resources worsens the performance of both the dispatching and resource assignment rule since it reduces resource utilisation during periods of high load. Results from dual resource-constrained shops are consequently not directly transferable to more complex resource-constrained shops.
AB - In manufacturing shops in practice, machine capacity is often constrained by more than one type of resource. Yet research mainly focusses on the effects of only one type of resource that constrains machine capacity, e.g. labour, tooling or auxiliary constraints. In response, we use simulation to assess the impact of order release, dispatching and resource assignment rules in make-to-order job shops with multiple resource constraints. The capacity wasted while a machine stands idle waiting for other resources increases with the number of constraints, and all three production planning and control functions have little impact on this waiting time. Effective production planning and control can however improve operational performance in terms of time and tardiness-related measures. In general, combining order release control with a dispatching rule that prioritises jobs for which all resources are available at dispatching and a longest queue resource assignment rule leads to the best performance. Most importantly, and rather counterintuitively, prioritising orders with the fewest missing resources worsens the performance of both the dispatching and resource assignment rule since it reduces resource utilisation during periods of high load. Results from dual resource-constrained shops are consequently not directly transferable to more complex resource-constrained shops.
KW - Theory of constraints
KW - order release
KW - dispatching
KW - resource allocation
KW - workload control
U2 - 10.1080/00207543.2021.1930240
DO - 10.1080/00207543.2021.1930240
M3 - Journal article
VL - 60
SP - 3669
EP - 3681
JO - International Journal of Production Research
JF - International Journal of Production Research
SN - 0020-7543
IS - 12
ER -