Scheduling multi-colour print jobs with sequence-dependent setup times
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  • 作者:A. P. Burger (1)
    C. G. Jacobs (1)
    J. H. van Vuuren (2)
    S. E. Visagie (1)

    1. Department of Logistics
    ; Stellenbosch University ; Private Bag X1 ; Matieland ; 7602 ; South Africa
    2. Department of Industrial Engineering
    ; Stellenbosch University ; Private Bag X1 ; Matieland ; 7602 ; South Africa
  • 关键词:Job grouping ; Job scheduling ; Job sequencing ; Tool switching ; 90B35 ; 05A18 ; 05C15
  • 刊名:Journal of Scheduling
  • 出版年:2015
  • 出版时间:April 2015
  • 年:2015
  • 卷:18
  • 期:2
  • 页码:131-145
  • 全文大小:367 KB
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  • 刊物类别:Business and Economics
  • 刊物主题:Economics
    Operation Research and Decision Theory
    Calculus of Variations and Optimal Control
    Optimization
    Artificial Intelligence and Robotics
    Production and Logistics
  • 出版者:Springer Netherlands
  • ISSN:1099-1425
文摘
In this paper, a scheduling problem is considered which arises in the packaging industry. Plastic and foil wrappers used for packaging candy bars, crisps and other snacks typically require overlay printing with multiple colours. Printing machines used for this purpose usually accommodate a small number of colours which are loaded into a magazine simultaneously. If two consecutively scheduled print jobs require significantly different colour overlays, then substantial down times are incurred during the transition from the former magazine colour configuration to the latter, because ink cartridges corresponding to colours not required for the latter job have to be cleaned after completion of the former job. The durations of these down times are therefore sequence dependent (the washing and refilling time is a function of the number of colours in which two consecutive printing jobs differ). It is consequently desirable to schedule print jobs so that the accumulated down times associated with all magazine colour transitions are as short as possible for each printing machine. We show that an instance of this scheduling problem can be modelled as the well-known tool switching problem, which is tractable for small instances only. The problem can, however, be solved rather effectively in heuristic fashion by decomposing it into two subproblems: a job grouping problem (which can be modelled as a unicost set covering problem) and a group sequencing problem (which is a generalisation of the celebrated travelling salesman problem). We solve the colour print scheduling problem both exactly and heuristically for small, randomly generated test problem instances, studying the trade-off between the time efficiency and solution quality of the two approaches. Finally, we apply both solution approaches to real problem data obtained from a printing company in the South African Western Cape as a special case study.

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