Design and optimization of an RFID-enabled automated warehousing system under uncertainties: a multi-criterion fuzzy programming approach

Ahmed Mohammed*, Qian Wang, Saleh Alyahya, Nick Bennett

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

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    Abstract

    In this paper, we investigated the design and optimization of a proposed radio-frequency identification (RFID)-enabled automated warehousing system in terms of the optimal number of storage racks and collection points that should be established in an efficient and cost-effective approach. To this aim, a fuzzy tri-criterion programming model was developed and used for obtaining trade-off decisions by measuring three conflicting objectives. These are minimization of the warehouse total cost, maximization of the warehouse capacity utilization, and minimization of the travel time of products from storage racks to collection points. To reveal the alternative Pareto optimal solutions using the developed model, a new approach was developed and compared with a recently developed fuzzy approach so-called Selim and Ozkarahan (SO). A decision-making algorithm was used to select the best Pareto optimal solution, and the applicability of the developed model was examined using a case study. Research findings demonstrate that the developed model is capable of generating an optimal solution as an aid for the design of the proposed RFID-enabled automated warehousing system.

    Original languageEnglish
    Pages (from-to)1661–1670
    JournalInternational Journal of Advanced Manufacturing Technology
    Volume91
    Issue number5-8
    Early online date16 Dec 2016
    DOIs
    Publication statusPublished - Jul 2017

    Keywords

    • Automated warehouse
    • Design
    • Fuzzy approach
    • Multi-criterion optimization
    • RFID

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