IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0256999.html
   My bibliography  Save this article

A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process

Author

Listed:
  • Wafa’ H AlAlaween
  • Abdallah H AlAlawin
  • Mahdi Mahfouf
  • Omar H Abdallah
  • ‎Mohammad A Shbool
  • Mahmoud F Mustafa

Abstract

A novel way of integrating the genetic algorithm (GA) and the analytic network process (ANP) is presented in this paper in order to develop a new warehouse assessment scheme, which is developed through various stages. First, we define the main criteria that influence a warehouse performance. The proposed algorithm that integrates the GA with the ANP is then utilized to determine the relative importance values of the defined criteria and sub-criteria by considering the interrelationships among them, and assign strength values for such interrelationships. Such an algorithm is also employed to linguistically present the relative importance and the strength of the interrelationships in a way that can circumvent the use of pairwise comparisons. Finally, the audit checklist that consists of questions related to the criteria is integrated with the proposed algorithm for the development of the warehouse assessment scheme. Validated on 45 warehouses, the proposed scheme has been shown to be able to identify the warehouse competitive advantages and the areas where more improvements can be achieved.

Suggested Citation

  • Wafa’ H AlAlaween & Abdallah H AlAlawin & Mahdi Mahfouf & Omar H Abdallah & ‎Mohammad A Shbool & Mahmoud F Mustafa, 2021. "A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-16, September.
    • Handle: RePEc:plo:pone00:0256999
    DOI: 10.1371/journal.pone.0256999
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256999
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0256999&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0256999?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Aguezzoul, Aicha, 2014. "Third-party logistics selection problem: A literature review on criteria and methods," Omega, Elsevier, vol. 49(C), pages 69-78.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Raut, Rakesh D. & Gardas, Bhaskar B. & Narwane, Vaibhav S. & Narkhede, Balkrishna E., 2019. "Improvement in the food losses in fruits and vegetable supply chain - a perspective of cold third-party logistics approach," Operations Research Perspectives, Elsevier, vol. 6(C).
    2. Mengdi Zhang & George Q. Huang & Su Xiu Xu & Zhiheng Zhao, 2019. "Optimization based transportation service trading in B2B e-commerce logistics," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2603-2619, October.
    3. Yuan, Yang & Chu, Zhaofang & Lai, Fujun & Wu, Hao, 2020. "The impact of transaction attributes on logistics outsourcing success: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 219(C), pages 54-65.
    4. Babak Daneshvar Rouyendegh & Kazim Topuz & Ali Dag & Asil Oztekin, 2019. "An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites," Information Systems Frontiers, Springer, vol. 21(6), pages 1345-1355, December.
    5. Zu-Jun, Ma & Zhang, Nian & Dai, Ying & Hu, Shu, 2016. "Managing channel profits of different cooperative models in closed-loop supply chains," Omega, Elsevier, vol. 59(PB), pages 251-262.
    6. Jagannath Roy & Dragan Pamučar & Samarjit Kar, 2020. "Evaluation and selection of third party logistics provider under sustainability perspectives: an interval valued fuzzy-rough approach," Annals of Operations Research, Springer, vol. 293(2), pages 669-714, October.
    7. Olga Lingaitienė & Aurelija Burinskienė & Vida Davidavičienė, 2022. "Case Study of Municipal Waste and Its Reliance on Reverse Logistics in European Countries," Sustainability, MDPI, vol. 14(3), pages 1-24, February.
    8. Huchang Liao & Di Wu & Yulong Huang & Peijia Ren & Zeshui Xu & Mohit Verma, 2018. "Green Logistic Provider Selection with a Hesitant Fuzzy Linguistic Thermodynamic Method Integrating Cumulative Prospect Theory and PROMETHEE," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    9. Yan Pan & Yanzhe Li & Shouzhen Zeng & Junfang Hu & Kifayat Ullah, 2022. "Green Recycling Supplier Selection of Shared Bicycles: Interval-Valued Pythagorean Fuzzy Hybrid Weighted Methods Based on Self-Confidence Level," IJERPH, MDPI, vol. 19(9), pages 1-21, April.
    10. Biyue Lin & Shoukat Iqbal Khattak & Bei Zhao, 2021. "To Relocate Or Not to Relocate: A Logit Regression Model of Factors Influencing Corporate Headquarter Relocation Decision in China," SAGE Open, , vol. 11(3), pages 21582440211, July.
    11. Samin Yaser Anon & Saman Hassanzadeh Amin & Fazle Baki, 2024. "Third-Party Reverse Logistics Selection: A Literature Review," Logistics, MDPI, vol. 8(2), pages 1-14, April.
    12. Feki, Yassin & Hajji, Adnène & Rekik, Monia, 2016. "A hedging policy for carriers’ selection under availability and demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 149-165.
    13. Rashidi, Kamran & Cullinane, Kevin, 2019. "Evaluating the sustainability of national logistics performance using Data Envelopment Analysis," Transport Policy, Elsevier, vol. 74(C), pages 35-46.
    14. Stefan Jovčić & Petr Průša & Momčilo Dobrodolac & Libor Švadlenka, 2019. "A Proposal for a Decision-Making Tool in Third-Party Logistics (3PL) Provider Selection Based on Multi-Criteria Analysis and the Fuzzy Approach," Sustainability, MDPI, vol. 11(15), pages 1-23, August.
    15. Balakrishnan, VN & Mohamad Khan, Jamal Khan, 2018. "Influential Factors of Competitive Advantage Progression on SME Third-Party Logistics in Selangor Malaysia," MPRA Paper 89091, University Library of Munich, Germany.
    16. Ahn, Byeong Seok, 2017. "The analytic hierarchy process with interval preference statements," Omega, Elsevier, vol. 67(C), pages 177-185.
    17. Alptekin Ulutaş & Darjan Karabasevic & Gabrijela Popovic & Dragisa Stanujkic & Phong Thanh Nguyen & Çağatay Karaköy, 2020. "Development of a Novel Integrated CCSD-ITARA-MARCOS Decision-Making Approach for Stackers Selection in a Logistics System," Mathematics, MDPI, vol. 8(10), pages 1-15, October.
    18. Archetti, Claudia & Peirano, Lorenzo, 2020. "Air intermodal freight transportation: The freight forwarder service problem," Omega, Elsevier, vol. 94(C).
    19. Jili Kong & Ziyu Chen & Xiaoping Liu, 2022. "A Review of Logistics Pricing Research Based on Game Theory," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    20. Zhang, Juliang & Xiang, Jie & Cheng, T.C. Edwin & Hua, Guowei & Chen, Cheng, 2019. "An optimal efficient multi-attribute auction for transportation procurement with carriers having multi-unit supplies," Omega, Elsevier, vol. 83(C), pages 249-260.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0256999. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.