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Parallel machine scheduling with batch deliveries to minimize total flow time and delivery cost

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  • Hua Gong
  • Lixin Tang
  • Joseph Y.T. Leung

Abstract

Motivated by the flow of products in the iron and steel industry, we study an identical and parallel machine scheduling problem with batch deliveries, where jobs finished on the parallel machines are delivered to customers in batches. Each delivery batch has a capacity and incurs a cost. The objective is to find a coordinated production and delivery schedule that minimizes the total flow time of jobs plus the total delivery cost. This problem is an extension of the problem considered by Hall and Potts, Ann Oper Res 135 (2005) 41–64, who studied a two‐machine problem with an unbounded number of transporters and unbounded delivery capacity. We first provide a dynamic programming algorithm to solve a special case with a given job assignment to the machines. A heuristic algorithm is then presented for the general problem, and its worst‐case performance ratio is analyzed. The computational results show that the heuristic algorithm can generate near‐optimal solutions. Finally, we offer a fully polynomial‐time approximation scheme for a fixed number of machines. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 492–502, 2016

Suggested Citation

  • Hua Gong & Lixin Tang & Joseph Y.T. Leung, 2016. "Parallel machine scheduling with batch deliveries to minimize total flow time and delivery cost," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(6), pages 492-502, September.
  • Handle: RePEc:wly:navres:v:63:y:2016:i:6:p:492-502
    DOI: 10.1002/nav.21715
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    References listed on IDEAS

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    9. Lixin Tang & Hua Gong & Jiyin Liu & Feng Li, 2014. "Bicriteria scheduling on a single batching machine with job transportation and deterioration considerations," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(4), pages 269-285, June.
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