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Scheduling and loading problem for multiple, identical dry kilns

Author

Listed:
  • Maria Anna Huka

    (University of Natural Resources and Life Sciences)

  • Christian Rindler

    (University of Natural Resources and Life Sciences)

  • Manfred Gronalt

    (University of Natural Resources and Life Sciences)

Abstract

The drying of sawn lumber is one of the major processing steps in sawmills with high production volumes. Existing publications on kiln drying analyse and improve technological conditions, while this paper focuses on the scheduling and loading planning with time availability of the individual dried packages. To improve dry kiln scheduling for multiple and identical kilns in large softwood processing sawmills, heuristic approaches are developed that generate kiln allocation plans according to existing production specifications. The aim is to minimise total tardiness for the drying of all sawn lumber packages while considering technological and capacity restrictions. These heuristics calculate the position, time and kiln for each package, thus solving scheduling and loading problems caused by capacity and stacking limitations. Several heuristic approaches are illustrated and tested with actual production data. In addition, the difference between static and dynamic scheduling for group and batch generation is analysed. Further improvements are possible through: drying of different lumber assortments in one batch, outsourcing the drying of special assortments or investing in supplementary kilns for drying smaller volumes within more flexible time slots.

Suggested Citation

  • Maria Anna Huka & Christian Rindler & Manfred Gronalt, 2021. "Scheduling and loading problem for multiple, identical dry kilns," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 312-336, June.
    • Handle: RePEc:spr:flsman:v:33:y:2021:i:2:d:10.1007_s10696-020-09386-4
    DOI: 10.1007/s10696-020-09386-4
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    References listed on IDEAS

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    1. Ouhimmou, M. & D'Amours, S. & Beauregard, R. & Ait-Kadi, D. & Chauhan, S. Singh, 2008. "Furniture supply chain tactical planning optimization using a time decomposition approach," European Journal of Operational Research, Elsevier, vol. 189(3), pages 952-970, September.
    2. Ari P. J. Vepsalainen & Thomas E. Morton, 1987. "Priority Rules for Job Shops with Weighted Tardiness Costs," Management Science, INFORMS, vol. 33(8), pages 1035-1047, August.
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