Multiple Criteria Optimization for Supply Chains – Analysis of Case Study

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Abstract

Completing of a production process in any enterprise requires designing of a proper supply chain. Its non-compliance with the ever-changing client needs may result in a variety of problems that are perceived in different ways by different stakeholders when attempting to resolve a decision problem. The paper presents an example solution of a problem related to planning of supplies of components of a final product. The proposed non-linear, deterministic mathematical model of a decision problem includes a set of 5 criteria: costs of warehousing, transport, stock in transit and the criterion of time of transport and warehouse efficiency. Such an approach allowed including various aspects of the enterprise operation and the operation of its individual departments such as supplies department, warehouse department, marketing/sales department and management.

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Kiciński, M., Witort, P., & Merkisz-Guranowska, A. (2019). Multiple Criteria Optimization for Supply Chains – Analysis of Case Study. In Advances in Intelligent Systems and Computing (Vol. 844, pp. 150–160). Springer Verlag. https://doi.org/10.1007/978-3-319-99477-2_14

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