By the same authors

Value-driven Manufacturing Planning using Cloud-based Evolutionary Optimisation

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Publication details

Title of host publication10th International Conference on Manufacturing Science and Technology
DateAccepted/In press - 18 Apr 2019
Original languageEnglish


This paper considers manufacturing planning and scheduling of manufacturing orders whose value decreases over time. The value decrease is modelled with a so-called value curve. Two genetic-algorithm-based methods for multi-objective optimisation has been proposed, implemented and deployed to a cloud. The first proposed method allocates and schedules manufacturing of all the ordered elements optimising both the makespan and the total value, whereas the second method selects only the profitable orders for manufacturing. The proposed evolutionary optimisation has been performed for a set of real-world-inspired manufacturing orders. Both the methods yield a similar total value, but the latter method leads to a shorter makespan.

    Research areas

  • cloud computing, evolutionary algorithms, value-based scheduling

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