Improving Urgency-Based Backlog Sequencing of Jobs: An Assessment by Simulation

Fernandes, Nuno O. and Thürer, Matthias and Stevenson, Mark and Carmo-Silva, Silvio (2022) Improving Urgency-Based Backlog Sequencing of Jobs: An Assessment by Simulation. Machines, 10 (10). p. 935. ISSN 2075-1702

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Abstract

When order release is applied, jobs are withheld in a backlog from where they are released to meet certain performance targets. The decision that selects jobs for release is typically preceded by a sequencing decision. It was traditionally assumed that backlog sequencing is only responsible for releasing jobs on time, whereas more recent literature has argued that it can also support load balancing. Although the new load-based rules outperform time-based rules, they can be criticized for requiring workload information from the shop floor and for delaying large jobs. While some jobs will inevitably be delayed during periods of high load, we argue that this delaying decision should be under control of management. A simulation study of a wafer fab environment shows that a time-based rule matches the performance of more complex load-based backlog sequencing rules that have recently emerged. The new rule realizes the lowest percentage of tardy jobs if the lower bound that distinguishes between early and urgent jobs is set appropriately. It provides a simpler means of improving release performance, allowing managers to delay jobs that have adjustable due dates.

Item Type: Article
Uncontrolled Keywords: lean; order release; backlog sequencing; re-entrant flow shop; simulation
Subjects: STM Repository > Engineering
Depositing User: Managing Editor
Date Deposited: 14 Mar 2023 09:18
Last Modified: 17 Feb 2024 04:05
URI: http://classical.goforpromo.com/id/eprint/221

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