{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T09:06:26Z","timestamp":1780477586395,"version":"3.54.1"},"reference-count":110,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T00:00:00Z","timestamp":1614124800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Natural Science Engineering Research Council Canada","award":["RGPIN-2019-04704"],"award-info":[{"award-number":["RGPIN-2019-04704"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,4,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Warehouses constitute a key component of supply chain networks. An improvement to the operational efficiency and the productivity of warehouses is crucial for supply chain practitioners and industrial managers. Overall warehouse efficiency largely depends on synergic performance. The managers preemptively estimate the overall warehouse performance (OWP), which requires an accurate prediction of a warehouse\u2019s key performance indicators (KPIs). This research aims to predict the KPIs of a ready-made garment (RMG) warehouse in Bangladesh with a low forecasting error in order to precisely measure OWP. Incorporating advice from experts, conducting a literature review, and accepting the limitations of data availability, this study identifies 13 KPIs. The traditional grey method (GM)\u2014the GM (1, 1) model\u2014is established to estimate the grey data with limited historical information but not absolute. To reduce the limitations of GM (1, 1), this paper introduces a novel particle swarm optimization (PSO)-based grey model\u2014PSOGM (1, 1)\u2014to predict the warehouse\u2019s KPIs with less forecasting error. This study also uses the genetic algorithm (GA)-based grey model\u2014GAGM (1, 1)\u2014the discrete grey model\u2014DGM (1, 1)\u2014to assess the performance of the proposed model in terms of the mean absolute percentage error and other assessment metrics. The proposed model outperforms the existing grey models in projecting OWP through the forecasting of KPIs over a 5-month period. To find out the optimal parameters of the PSO and GA algorithms before combining them with the grey model, this study adopts the Taguchi design method. Finally, this study aims to help warehouse professionals make quick OWP estimations in advance to take control measures regarding warehouse productivity and efficiency.<\/jats:p>","DOI":"10.1093\/jcde\/qwab009","type":"journal-article","created":{"date-parts":[[2021,2,3]],"date-time":"2021-02-03T13:55:22Z","timestamp":1612360522000},"page":"705-727","source":"Crossref","is-referenced-by-count":50,"title":["A novel particle swarm optimization-based grey model for the prediction of warehouse performance"],"prefix":"10.1093","volume":"8","author":[{"given":"Md Rakibul","family":"Islam","sequence":"first","affiliation":[{"name":"Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4302-5991","authenticated-orcid":false,"given":"Syed Mithun","family":"Ali","sequence":"additional","affiliation":[{"name":"Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amir Mohammad","family":"Fathollahi-Fard","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, \u00c9cole de Technologie Sup\u00e9rieure, 1100 Notre-Dame Street West, Montreal, QC H3C 1K3, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Golam","family":"Kabir","sequence":"additional","affiliation":[{"name":"Industrial Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, SK S4S 0A2, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2021,2,24]]},"reference":[{"issue":"5","key":"2021042911565471500_bib1","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1108\/IJPPM-04-2018-0132","article-title":"An integrated AHP-based scheme for performance measurement in humanitarian supply 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