Sequencing, Task Failures, and Capacity When Failures Are Driven by a Non‐Homogeneous Poisson Process
ABSTRACT We study the optimal sequencing of a batch of tasks on a machine subject to random disruptions driven by a non‐homogeneous Poisson process (NHPP), such that every disruption requires the interrupted task to be re‐processed from scratch, and partially completed work on a disrupted task is wa...
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Published in | Naval research logistics Vol. 72; no. 4; pp. 467 - 480 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.06.2025
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0894-069X 1520-6750 |
DOI | 10.1002/nav.22235 |
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Summary: | ABSTRACT
We study the optimal sequencing of a batch of tasks on a machine subject to random disruptions driven by a non‐homogeneous Poisson process (NHPP), such that every disruption requires the interrupted task to be re‐processed from scratch, and partially completed work on a disrupted task is wasted. The NHPP models random disruptions whose frequency varies systematically with time. In general, the time taken to process a given batch of tasks depends on the order in which the tasks are processed. We find conditions under which the simplest possible sequencing rules—shortest processing time first (SPT) and longest processing time first (LPT)—suffice to minimize the completion time of a batch of tasks. |
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Bibliography: | Funding Lingjiong Zhu acknowledges the support from NSF Grants DMS‐2053454, DMS‐2208303 and a Simons Foundation Collaboration Grant 638588. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0894-069X 1520-6750 |
DOI: | 10.1002/nav.22235 |