2006Unpublished venueRequires access

Lower Bounds for Tardiness Minimization on a Single Machine with Family Setup Times

Imed Kacem

Open publisher page 9 citations

Abstract

In this paper, we consider the scheduling of N jobs on a single machine with family setup times in order to minimize the total tardiness. The set of jobs is divided into F families. Between two jobs of the same family, we have not to stop the machine. However, when switching from family to another, a setup is required. Each family is characterized by a setup time independent of the sequence. We propose a set of approaches to compute lower bounds for the tardiness criterion. These approaches are analyzed and tested on a large set of numerical experiments in order to identify the dominant lower bounds

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What this paper is about

In this paper, we consider the scheduling of N jobs on a single machine with family setup times in order to minimize the total tardiness. The set of jobs is divided into F families. Between two jobs of the same family, we have not to stop the machine. However, when switching from family to another, a setup is required. Each family is characterized by a setup time independent of the sequence. We propose a set of approaches to compute lower bounds for the tardiness criterion. These approaches are analyzed and tested on a large set of numerical experiments in order to identify the dominant lower bounds

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, we consider the scheduling of N jobs on a single machine with family setup times in order to minimize the total tardiness. The set of jobs is divided into F families. Between two jobs of the same family, we have not to stop the machine. However, when switching from family to another, a setup is required. Each family is characterized by a setup time independent of the sequence. We propose a set of approaches to compute lower bounds for the tardiness criterion. These approaches are analyzed and tested on a large set of numerical experiments in order to identify the dominant lower bounds

Key concepts: Tardiness, Minification, Scheduling (production processes), Due date, Retard, Computer science, Set (abstract data type), Single-machine scheduling

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