A computational study of branch and bound techniques for minimizing the total weighted tardiness in job shops

We present and compare a number of branch and bound algorithms for minimizing the total weighted tardiness in job shops. There are basically two types of branching schemes. The first one inserts operations in a partial schedule, while the second one fixes arcs in the disjunctive graph formulation of...

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Published inIIE transactions Vol. 30; no. 2; pp. 109 - 118
Main Authors SINGER, MARCOS, PINEDO, MICHAEL
Format Journal Article
LanguageEnglish
Published Norcross, GA Taylor & Francis Group 01.02.1998
Institute of Industrial Engineers
Taylor & Francis Ltd
Subjects
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ISSN0740-817X
2472-5854
1545-8830
2472-5862
DOI10.1080/07408179808966443

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Abstract We present and compare a number of branch and bound algorithms for minimizing the total weighted tardiness in job shops. There are basically two types of branching schemes. The first one inserts operations in a partial schedule, while the second one fixes arcs in the disjunctive graph formulation of the problem. The bounding schemes are based on the analysis of precedence constraints, and on the solution of nonpreemptive single machine subproblems that are subject to so-called delayed precedence constraints. We obtain optimal solutions for all the instances with ten jobs and ten machines that we consider, including three tardiness versions of a well-known 10 × 10 instance introduced by Muth and Thompson [1] in 1963.
AbstractList We present and compare a number of branch and bound algorithms for minimizing the total weighted tardiness in job shops. There are basically two types of branching schemes. The first one inserts operations in a partial schedule, while the second one fixes arcs in the disjunctive graph formulation of the problem. The bounding schemes are based on the analysis of precedence constraints, and on the solution of nonpreemptive single machine subproblems that are subject to so-called delayed precedence constraints. We obtain optimal solutions for all the instances with ten jobs and ten machines that we consider, including three tardiness versions of a well-known 10 × 10 instance introduced by Muth and Thompson [1] in 1963.
A number of branch and bound algorithms are presented and compared for minimizing the total weighted tardiness in job shops. There are basically 2 types of branching schemes. The first one inserts operations in a partial schedule, while the second one fixes arcs in the disjunctive graph formulation of the problem. The bounding schemes are based on the analysis of precedence constraints, and on the solution of nonpreemptive single machine subproblems that are subject to so-called delayed precedence constraints. Optimal solutions are obtained for all the instances with 10 jobs and 10 machines that are considered, including 3 tardiness versions of a well-know 10 x 10 instance introduced by Muth and Thompson in 1963.
Author SINGER, MARCOS
PINEDO, MICHAEL
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Issue 2
Keywords Lower bound
Minimum time
Gantt chart
Statistical analysis
Branch and bound method
Job shop
Flow shop
Scheduling
Makespan
Graph theory
Precedence constraint
Due date
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Snippet We present and compare a number of branch and bound algorithms for minimizing the total weighted tardiness in job shops. There are basically two types of...
A number of branch and bound algorithms are presented and compared for minimizing the total weighted tardiness in job shops. There are basically 2 types of...
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SubjectTerms Algorithms
Applied sciences
Comparative analysis
Exact sciences and technology
Graph representations
Job shops
Mathematical programming
Operational research and scientific management
Operational research. Management science
Production scheduling
Scheduling
Scheduling, sequencing
Statistical analysis
Studies
Title A computational study of branch and bound techniques for minimizing the total weighted tardiness in job shops
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