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Multiple Criteria Optimization for Supply Chains – Analysis of Case Study

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Integration as Solution for Advanced Smart Urban Transport Systems (TSTP 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 844))

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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Author information

Authors and Affiliations

  1. Division of Transport Systems, Poznan University of Technology, Poznan, Poland

    Marcin Kiciński & Agnieszka Merkisz-Guranowska

  2. Piotr Witort Consulting, Poznan, Poland

    Piotr Witort

Authors
  1. Marcin Kiciński
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  2. Piotr Witort
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  3. Agnieszka Merkisz-Guranowska
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Corresponding author

Correspondence to Marcin Kiciński .

Editor information

Editors and Affiliations

  1. Faculty of Transport, Silesian University of Technology, Katowice, Poland

    Grzegorz Sierpiński

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Kiciński, M., Witort, P., Merkisz-Guranowska, A. (2019). Multiple Criteria Optimization for Supply Chains – Analysis of Case Study. In: Sierpiński, G. (eds) Integration as Solution for Advanced Smart Urban Transport Systems. TSTP 2018. Advances in Intelligent Systems and Computing, vol 844. Springer, Cham. https://doi.org/10.1007/978-3-319-99477-2_14

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