Single machine serial-batching scheduling with independent setup time and deteriorating job processing times
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  • 作者:Jun Pei (1) (2)
    Xinbao Liu (1) (3)
    Panos M. Pardalos (2) (4)
    Wenjuan Fan (1) (5)
    Shanlin Yang (1) (3)

    1. School of Management
    ; Hefei University of Technology ; Hefei ; China
    2. Department of Industrial and Systems Engineering
    ; Center for Applied Optimization ; University of Florida ; Gainesville ; USA
    3. Key Laboratory of Process Optimization and Intelligent Decision-Making of Ministry of Education
    ; Hefei ; China
    4. Laboratory of Algorithms and Technologies for Networks Analysis
    ; National Research University Higher School of Economics ; Moscow ; Russia
    5. Department of Computer Science
    ; North Carolina State University ; Raleigh ; USA
  • 关键词:Serial ; batching scheduling ; Deteriorating jobs ; Single machine ; Setup time
  • 刊名:Optimization Letters
  • 出版年:2015
  • 出版时间:January 2015
  • 年:2015
  • 卷:9
  • 期:1
  • 页码:91-104
  • 全文大小:188 KB
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  • 刊物类别:Mathematics and Statistics
  • 刊物主题:Mathematics
    Optimization
    Operation Research and Decision Theory
    Numerical and Computational Methods in Engineering
    Numerical and Computational Methods
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1862-4480
文摘
This paper investigates the scheduling problems of a single serial-batching machine with independent setup time and deteriorating job processing times. With the assumption of deteriorating jobs, the job processing times are described by an increasing function of their starting times. All the jobs are first partitioned into serial batches and then processed on a single serial-batching machine. Before each batch is processed, an independent constant setup time is required. Two optimization algorithms are proposed to solve the problems of minimizing the makespan and the total number of tardy jobs, respectively. Specifically, for the problem of minimizing the total completion time, two special cases with the smallest and the largest number of batches are studied, and an optimization algorithm is also presented for the special case without setup time.

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