3128. Building a Digital Twin Framework Using Practice-Based View for Smart Warehousing
Invited abstract in session TD-23: Data Analytics for Business Resilience and Sustainability - Leveraging ML Models, stream OR for Societal Development.
Tuesday, 14:30-16:00Room: Esther Simpson 3.01
Authors (first author is the speaker)
| 1. | Sadia Samar Ali
|
| Department of Industrial Engineering, King Abdul-Aziz University |
Abstract
Although a number of technology-oriented approaches exist to formulate digital twins of warehouses, they often fall short by neglecting applicability and vertical linking of mission-driven practices along the value chain. It is essential for analysing and optimising warehouse-level digital twins through interconnected systems to support real-time industrial operations. To fulfil a research gap, this paper propose a practice-oriented digital twin framework integrated with the Practice-Based View (PBV) theory for smart warehousing. This work compare existing technology-oriented development practices, digital twin integration, enterprise models and non-institutional innovation efforts against the PBV prescriptive to develop a digital twin of warehouses as a practice. This results in identifying critical success factors related to digital twin of warehousing practice. However, much of the current research ignores this important relationship between new technological capabilities and the established practices of the organization. By including both technical and organizational perspectives, this framework serves as a comprehensive approach to implementing digital twins in different types of warehouses. It systematically reviews the literature on PBV, critically examines its context, explores future directions in design development while proposing the framework along with a suggested evaluation methodology.
Keywords
- Warehouse Design, Planning, and Control
- Developing Countries
- OR in Development
Status: accepted
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