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Evaluation of the flow of goods at a warehouse logistic department by Petri Nets

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  • Carolina Gerini

    (University of Genoa)

  • Anna Sciomachen

    (University of Genoa)

Abstract

This paper addresses the analysis issue of the complex interactions arising among different components of a warehouse logistic system. In particular, the focus is on a case study related to the handling operations required by the flow of goods within a store of Ikea, located in the center of Italy. The proposed study has been performed using Petri Nets (PNs) as discrete event modelling and simulation framework. In particular, this paper aims to bring out the innovative aspect of the use of PNs as tools to support the functional specifications of warehouse systems, highlighting their strengths and weakness. The goal is to emphasize critical factors in the entire logistic chain within the store and suggest solutions for improving its efficiency. In this regards, PNs have been proved to be quite suitable to easily represent the main features of the departments under consideration, showing at the same time the main logistic processes in which both labor and equipment are involved. The dynamics of the considered logistic system is evaluated, focusing on the three main operating cycles implemented at the Ikea store under consideration. Further, simulating directly the PN model, along with a quantitative analysis, has been possible to identify delays in the complete logistic chain and determine performance indices, such as utilization rate of the resources. Suggestions for improving the productivity of the system are given.

Suggested Citation

  • Carolina Gerini & Anna Sciomachen, 2019. "Evaluation of the flow of goods at a warehouse logistic department by Petri Nets," Flexible Services and Manufacturing Journal, Springer, vol. 31(2), pages 354-380, June.
    • Handle: RePEc:spr:flsman:v:31:y:2019:i:2:d:10.1007_s10696-018-9312-3
    DOI: 10.1007/s10696-018-9312-3
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    References listed on IDEAS

    as
    1. Lam, H.Y. & Choy, K.L. & Ho, G.T.S. & Cheng, Stephen W.Y. & Lee, C.K.M., 2015. "A knowledge-based logistics operations planning system for mitigating risk in warehouse order fulfillment," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 763-779.
    2. Bipan Zou & Xianhao Xu & Yeming Gong & René de Koster, 2016. "Modeling parallel movement of lifts and vehicles in tier-captive vehicle-based warehousing systems," Post-Print hal-02313400, HAL.
    3. Fukunari, Miki & Malmborg, Charles J., 2009. "A network queuing approach for evaluation of performance measures in autonomous vehicle storage and retrieval systems," European Journal of Operational Research, Elsevier, vol. 193(1), pages 152-167, February.
    4. Renko, Sanda & Ficko, Dejan, 2010. "New logistics technologies in improving customer value in retailing service," Journal of Retailing and Consumer Services, Elsevier, vol. 17(3), pages 216-223.
    5. Bipan Zou & Xianhao Xu & Yeming Gong & René de Koster, 2016. "Modeling parallel movement of lifts and vehicles in tier-captive vehicle-based warehousing systems," Post-Print hal-01892897, HAL.
    6. Zou, Bipan & Xu, Xianhao & (Yale) Gong, Yeming & De Koster, René, 2016. "Modeling parallel movement of lifts and vehicles in tier-captive vehicle-based warehousing systems," European Journal of Operational Research, Elsevier, vol. 254(1), pages 51-67.
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