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An Analytical Modeling Approach to Cyclic Scheduling of Multiproduct Batch Production Flows Subject to Demand and Capacity Constraints

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 656))

Abstract

This paper addresses the problem of determining the admissible configuration and cyclic operation of batch plants in which a variety of products are simultaneously processed along different product-dedicated production lines. The objective is to determine the required number and size of AGVs as well as the levels of product inventories given the takt times assumed for each kind of product. The major complication of this design problem lies in the large number of trade-offs involved, for instance the merging of input/output buffer capacities versus the frequency of AGV circulation, and the length of takt time versus inventory levels. By using an analytical model encompassing bottleneck-driven representation of cyclic schedules it is shown that this problem can be formulated as a constraint satisfaction problem. Its task-oriented representation, aimed at reducing the size of the search space, is discussed. An illustrative example proving the feasibility of the proposed approach is provided.

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Correspondence to Grzegorz Bocewicz .

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Bocewicz, G., Nielsen, P., Banaszak, Z., Wójcik, R. (2018). An Analytical Modeling Approach to Cyclic Scheduling of Multiproduct Batch Production Flows Subject to Demand and Capacity Constraints. In: Świątek, J., Borzemski, L., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017. ISAT 2017. Advances in Intelligent Systems and Computing, vol 656. Springer, Cham. https://doi.org/10.1007/978-3-319-67229-8_25

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  • DOI: https://doi.org/10.1007/978-3-319-67229-8_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67228-1

  • Online ISBN: 978-3-319-67229-8

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