Two parallel-machine scheduling with maximum waiting time for an emergency job

In modern manufacturing and service industries, urgent orders and service tasks are common, and the speed of handling such urgent tasks is an important indicator of production and service efficiency. In this study, we consider scheduling jobs on two parallel machines with the random arrival of an em...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of production research Vol. 62; no. 16; pp. 6016 - 6027
Main Authors Jiang, Yiwei, Yuan, Haodong, Zhou, Ping, Cheng, T. C. E., Ji, Min
Format Journal Article
LanguageEnglish
Published Taylor & Francis 17.08.2024
Subjects
Online AccessGet full text
ISSN0020-7543
1366-588X
DOI10.1080/00207543.2023.2296024

Cover

Loading…
More Information
Summary:In modern manufacturing and service industries, urgent orders and service tasks are common, and the speed of handling such urgent tasks is an important indicator of production and service efficiency. In this study, we consider scheduling jobs on two parallel machines with the random arrival of an emergency job. The objective is to minimise the makespan, subject to a given maximum waiting time of the emergency job. We first show that the worst-case ratio of the existing algorithm LPT $ _l $ l -SPT $ _{m-l} $ m − l is at least 3/2 when m = 2. We then analyse some properties of the optimal schedule and derive lower bounds on the optimal makespan. Finally, we present an improved approximation algorithm with a tight worst-case ratio of 4/3. We also provide numerical results showing that our proposed algorithm outperforms algorithm LPT $ _l $ l -SPT $ _{m-l} $ m − l .
ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2023.2296024