Rohani, Vala Ali and Peerally, Jahan Ara and Moghavvemi, Sedigheh and Guerreiro, Flavio and Pinho, Tiago (2022) Illustrating scholar–practitioner collaboration for data-driven decision-making in the optimization of logistics facility location and implications for increasing the adoption of AR and VR practices. TQM Journal, 34 (2). 280 -302. ISSN 1754-2731, DOI https://doi.org/10.1108/TQM-06-2021-0194.
Full text not available from this repository.Abstract
Purpose: This study illustrates the experience of scholar–practitioner collaboration for data-driven decision-making through the problematic of optimizing facility locations and minimizing logistics costs for La Palette Rouge (LPR) of Portugal. Design/methodology/approach: The authors used a mixed mixed-method approach involving (1) a quantitative exploratory analysis of big data, which applied analytics and mathematical modeling to optimize LPR's logistics network, and (2) an illustrative case of scholar–practitioner collaboration for data-driven decision-making. Findings: The quantitative analysis compared more than 20 million possible configurations and proposed the optimal logistics structures. The proposed optimization model minimizes the logistics costs by 22. Another optimal configuration revealed that LPR can minimize logistics costs by 12 through closing one of its facilities. The illustrative description demonstrates that well-established resource-rich multinational enterprises do not necessarily have the in-house capabilities and competencies to handle and analyze big data. Practical implications: The mathematical modeling for optimizing logistics networks demonstrates that outcomes are readily actionable for practitioners and can be extended to other country and industry contexts with logistics operations. The case illustrates that synergistic relationships can be created, and the opportunities exist between scholars and practitioners in the field of Logistics 4.0 and that scientific researcher is necessary for solving problems and issues that arise in practice while advancing knowledge. Originality/value: The study illustrates that several Logistics 4.0 challenges highlighted in the literature can be collectively addressed through scholar–practitioner collaborations. The authors discuss the implications of such collaborations for adopting virtual and augmented reality (AR) technologies and to develop the capabilities for maximizing their benefits in mature low-medium technology industries, such as the food logistics industry. © 2021, Emerald Publishing Limited.
| Item Type: | Article |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | Augmented reality; Big data; Decision making; Location; Plant shutdowns; Structural optimization; Virtual reality; Data driven decision; Decisions makings; Facilities locations; Logistic 4.0; Logistic costs; Logistics facility; Logistics network; Modeling; Optimisations; Scholar–practitioner collaboration; Internet of things |
| Subjects: | H Social Sciences > HF Commerce > Business |
| Divisions: | Faculty of Business and Economics |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 08 Nov 2023 01:50 |
| Last Modified: | 08 Nov 2023 01:50 |
| URI: | http://eprints.um.edu.my/id/eprint/43406 |
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