Single-machine scheduling with machine unavailability periods and resource dependent processing times

•We study a single-machine scheduling problem with a machine-unavailability period.•Processing times are resource-dependent.•The problem is known to be NP-hard.•We focus on the design of pseudo-polynomial time and approximation algorithms.•Extension to the case of a fixed number of unavailability pe...

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Published in:European journal of operational research Vol. 296; no. 2; pp. 423 - 439
Main Author: Shabtay, Dvir
Format: Journal Article
Language:English
Published: Elsevier B.V 16.01.2022
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ISSN:0377-2217, 1872-6860
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Abstract •We study a single-machine scheduling problem with a machine-unavailability period.•Processing times are resource-dependent.•The problem is known to be NP-hard.•We focus on the design of pseudo-polynomial time and approximation algorithms.•Extension to the case of a fixed number of unavailability periods is provided. We study a single-machine scheduling problem, where each of the job processing times is a bounded linear decreasing function of the amount of resource allocated to its processing operation, and there is a single and fixed machine-unavailability interval that begins at time T. A solution is given by (i) partitioning the jobs into two sets, corresponding to the set of jobs to be processed before and after the unavailability period; and (ii) defining the amount of resource allocated to the processing operation of each of the jobs. A solution is feasible if the total processing time of all jobs assigned to be processed before the unavailability period does not exceed T. Our aim is to find a feasible solution that minimizes the makespan plus the total resource consumption cost. As the problem is known to be NP-hard even for constant processing times, we focus on the design of pseudo-polynomial time and approximation algorithms. Extension to the case of a fixed number of unavailability intervals is also provided.
AbstractList •We study a single-machine scheduling problem with a machine-unavailability period.•Processing times are resource-dependent.•The problem is known to be NP-hard.•We focus on the design of pseudo-polynomial time and approximation algorithms.•Extension to the case of a fixed number of unavailability periods is provided. We study a single-machine scheduling problem, where each of the job processing times is a bounded linear decreasing function of the amount of resource allocated to its processing operation, and there is a single and fixed machine-unavailability interval that begins at time T. A solution is given by (i) partitioning the jobs into two sets, corresponding to the set of jobs to be processed before and after the unavailability period; and (ii) defining the amount of resource allocated to the processing operation of each of the jobs. A solution is feasible if the total processing time of all jobs assigned to be processed before the unavailability period does not exceed T. Our aim is to find a feasible solution that minimizes the makespan plus the total resource consumption cost. As the problem is known to be NP-hard even for constant processing times, we focus on the design of pseudo-polynomial time and approximation algorithms. Extension to the case of a fixed number of unavailability intervals is also provided.
Author Shabtay, Dvir
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  organization: Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
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Issue 2
Keywords Single-machine scheduling
Approximation algorithms
Pseudo polynomial time algorithm
Machine unavailability period
Controllable processing time
Resource allocation
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Snippet •We study a single-machine scheduling problem with a machine-unavailability period.•Processing times are resource-dependent.•The problem is known to be...
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SubjectTerms Approximation algorithms
Controllable processing time
Machine unavailability period
Pseudo polynomial time algorithm
Resource allocation
Single-machine scheduling
Title Single-machine scheduling with machine unavailability periods and resource dependent processing times
URI https://dx.doi.org/10.1016/j.ejor.2021.03.034
Volume 296
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