Minmax common due-window assignment and scheduling on a single machine with two competing agents

We study the classical method of common due-date assignment and focus on minmax objective functions. In due-date assignment problems, the objective is to find the optimal due-date and job sequence that minimize the total earliness, tardiness and due-date-related costs. We extend the single-agent pro...

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Published inThe Journal of the Operational Research Society Vol. 69; no. 4; pp. 589 - 602
Main Author Mor, Baruch
Format Journal Article
LanguageEnglish
Published Taylor & Francis 03.04.2018
Taylor & Francis, Ltd
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Abstract We study the classical method of common due-date assignment and focus on minmax objective functions. In due-date assignment problems, the objective is to find the optimal due-date and job sequence that minimize the total earliness, tardiness and due-date-related costs. We extend the single-agent problem to a setting involving two competing agents and to a setting of multi-agent. In the two-agent setting (herein agents A and B), the scheduler needs to minimize the maximum cost of the agent A, subject to an upper bound on the maximal cost of the agent B. In the general model of multi-agent scheduling, the scheduler needs to minimize the cost among all A-type agents, subject to an agent-dependent upper bound on the maximal cost of the B-type agents. We further generalize the problems to the method of common due-window assignment. For all studied problems, we introduce efficient polynomial time solutions.
AbstractList We study the classical method of common due-date assignment and focus on minmax objective functions. In due-date assignment problems, the objective is to find the optimal due-date and job sequence that minimize the total earliness, tardiness and due-date-related costs. We extend the single-agent problem to a setting involving two competing agents and to a setting of multiagent. In the two-agent setting (herein agents A and B), the scheduler needs to minimize the maximum cost of the agent A, subject to an upper bound on the maximal cost of the agent B. In the general model of multi-agent scheduling, the scheduler needs to minimize the cost among all A-type agents, subject to an agent-dependent upper bound on the maximal cost of the B-type agents. We further generalize the problems to the method of common due-window assignment. For all studied problems, we introduce efficient polynomial time solutions.
We study the classical method of common due-date assignment and focus on minmax objective functions. In due-date assignment problems, the objective is to find the optimal due-date and job sequence that minimize the total earliness, tardiness and due-date-related costs. We extend the single-agent problem to a setting involving two competing agents and to a setting of multi-agent. In the two-agent setting (herein agents A and B), the scheduler needs to minimize the maximum cost of the agent A, subject to an upper bound on the maximal cost of the agent B. In the general model of multi-agent scheduling, the scheduler needs to minimize the cost among all A-type agents, subject to an agent-dependent upper bound on the maximal cost of the B-type agents. We further generalize the problems to the method of common due-window assignment. For all studied problems, we introduce efficient polynomial time solutions.
Author Mor, Baruch
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Snippet We study the classical method of common due-date assignment and focus on minmax objective functions. In due-date assignment problems, the objective is to find...
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SubjectTerms common due-date
minmax
Multi-agent scheduling
single machine
Title Minmax common due-window assignment and scheduling on a single machine with two competing agents
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