Integrated production and distribution scheduling with a perishable product
•Mathematical programming formulation solvable for small problems.•Route first, cluster second approach using makespan compression.•Bounds on routes and cost developed.•Heuristics used for realistic sized problems. This research focuses on the practical problem of a perishable product that must be p...
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| Vydané v: | European journal of operational research Ročník 259; číslo 3; s. 906 - 916 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier B.V
16.06.2017
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| ISSN: | 0377-2217, 1872-6860 |
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| Abstract | •Mathematical programming formulation solvable for small problems.•Route first, cluster second approach using makespan compression.•Bounds on routes and cost developed.•Heuristics used for realistic sized problems.
This research focuses on the practical problem of a perishable product that must be produced and distributed before it becomes unusable but at minimum cost. The problem has some features of the integrated production and distribution scheduling problem in that we seek to determine the fleet size and the trucks’ routes subject to a planning horizon constraint. In particular, this research differs because the product has a limited lifetime, the total demand must be satisfied within a planning horizon, multiple trucks can be used, and the production schedule and the distribution sequence are considered. A mixed integer programming model is formulated to solve the problem and, then, heuristics based on evolutionary algorithms are provided to resolve the models. |
|---|---|
| AbstractList | •Mathematical programming formulation solvable for small problems.•Route first, cluster second approach using makespan compression.•Bounds on routes and cost developed.•Heuristics used for realistic sized problems.
This research focuses on the practical problem of a perishable product that must be produced and distributed before it becomes unusable but at minimum cost. The problem has some features of the integrated production and distribution scheduling problem in that we seek to determine the fleet size and the trucks’ routes subject to a planning horizon constraint. In particular, this research differs because the product has a limited lifetime, the total demand must be satisfied within a planning horizon, multiple trucks can be used, and the production schedule and the distribution sequence are considered. A mixed integer programming model is formulated to solve the problem and, then, heuristics based on evolutionary algorithms are provided to resolve the models. |
| Author | Geismar, Neil Ferrell, William Devapriya, Priyantha |
| Author_xml | – sequence: 1 givenname: Priyantha surname: Devapriya fullname: Devapriya, Priyantha email: ddevapriya@augusta.edu organization: Partnerships & Strategic Affiliations, Augusta University Medical Center, Augusta, GA 30912, USA – sequence: 2 givenname: William orcidid: 0000-0002-6578-522X surname: Ferrell fullname: Ferrell, William email: fwillia@clemson.edu, ngeismar@mays.tamu.edu organization: Department of Industrial Engineering, Clemson University, Clemson, SC 29634, USA – sequence: 3 givenname: Neil surname: Geismar fullname: Geismar, Neil organization: Mays Business School, Texas A&M University, College Station, TX 77843, USA |
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| SubjectTerms | Genetic algorithms Integrated scheduling Logistics Memetic algorithms Production and distribution |
| Title | Integrated production and distribution scheduling with a perishable product |
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