Digital twin-driven real-time planning, monitoring, and controlling in food supply chains

Maheshwari, Pratik; Kamble, Sachin; Belhadi, Amine; Venkatesh, Mani; Abedin, Abedin

doi:10.1016/j.techfore.2023.122799

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Digital twin-driven real-time planning, monitoring, and controlling in food supply chains

Pratik Maheshwari, Sachin Kamble, Amine Belhadi, Mani Venkatesh, Abedin Abedin

Technological Forecasting and Social Change, Volume: 195, Start page: 122799

Swansea University Author: Abedin Abedin

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DOI (Published version): 10.1016/j.techfore.2023.122799

Abstract

There needs to be more clarity about when and how the digital twin approach could benefit the food supply chains. In this study, we develop and solve an integrated problem of procurement, production, and distribution strategies (PPDs) in a medium-scale food processing company. Using the digital twin...

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Published in:	Technological Forecasting and Social Change
ISSN:	0040-1625 1873-5509
Published:	Elsevier BV 2023
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URI:	https://cronfa.swan.ac.uk/Record/cronfa64158
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spelling	v2 64158 2023-08-29 Digital twin-driven real-time planning, monitoring, and controlling in food supply chains 4ed8c020eae0c9bec4f5d9495d86d415 Abedin Abedin Abedin Abedin true false 2023-08-29 BAF There needs to be more clarity about when and how the digital twin approach could benefit the food supply chains. In this study, we develop and solve an integrated problem of procurement, production, and distribution strategies (PPDs) in a medium-scale food processing company. Using the digital twin approach, the model considers the industrial symbiosis opportunities between the supplier, manufacturer, and customer using interval and sequence variables operating in a constrained environment using mixed-integer linear programming (MILP) and agent-based simulation (ABS) methodology. The study optimizes the make-span and lead time, simultaneously achieving a higher level of digitalization. The analysis demonstrates how digital twin accelerates supply chain productivity by improving makespan time, data redundancy (DR), optimal scheduling plan (OSP), overall operations effectiveness (OOE), overall equipment effectiveness (OEE), and capacity utilization. Our findings provide compelling evidence that the seamless integration PPDs enormously enhance production flexibility, resulting in an excellent service level of 94 %. Managers leverage real-time simulation to accurately estimate the replenishment point with minimal lead time, ensuring optimized operations. Furthermore, our results demonstrate that implementing PPDs has yielded considerable benefits. Specifically, we observed a remarkable 65 % utilization of the pasteurizer and aging vessel and an impressive 97 % utilization of the freezer. Moreover, by applying the DT model, the present model found a notable 6 % reduction in backlog, further streamlining operations and enhancing efficiency. Journal Article Technological Forecasting and Social Change 195 122799 Elsevier BV 0040-1625 1873-5509 Digital twin, Food supply chain, Mixed integer linear programming, Agent-based simulation, Digital supply chain, Anylogic Industry 4.0 31 10 2023 2023-10-31 10.1016/j.techfore.2023.122799 http://dx.doi.org/10.1016/j.techfore.2023.122799 COLLEGE NANME Accounting and Finance COLLEGE CODE BAF Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2023-09-05T16:04:48.7044315 2023-08-29T16:01:51.0992639 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Pratik Maheshwari 1 Sachin Kamble 2 Amine Belhadi 3 Mani Venkatesh 4 Abedin Abedin 5 64158__28396__23e4e69799d540aabd86e8b6e3bc6314.pdf 64158.VOR.pdf 2023-08-29T16:07:29.7222946 Output 4787886 application/pdf Version of Record true © 2023 The Author(s). Published by Elsevier Inc. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/
title	Digital twin-driven real-time planning, monitoring, and controlling in food supply chains
spellingShingle	Digital twin-driven real-time planning, monitoring, and controlling in food supply chains Abedin Abedin
title_short	Digital twin-driven real-time planning, monitoring, and controlling in food supply chains
title_full	Digital twin-driven real-time planning, monitoring, and controlling in food supply chains
title_fullStr	Digital twin-driven real-time planning, monitoring, and controlling in food supply chains
title_full_unstemmed	Digital twin-driven real-time planning, monitoring, and controlling in food supply chains
title_sort	Digital twin-driven real-time planning, monitoring, and controlling in food supply chains
author_id_str_mv	4ed8c020eae0c9bec4f5d9495d86d415
author_id_fullname_str_mv	4ed8c020eae0c9bec4f5d9495d86d415_***_Abedin Abedin
author	Abedin Abedin
author2	Pratik Maheshwari Sachin Kamble Amine Belhadi Mani Venkatesh Abedin Abedin
format	Journal article
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publishDate	2023
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issn	0040-1625 1873-5509
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publisher	Elsevier BV
college_str	Faculty of Humanities and Social Sciences
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description	There needs to be more clarity about when and how the digital twin approach could benefit the food supply chains. In this study, we develop and solve an integrated problem of procurement, production, and distribution strategies (PPDs) in a medium-scale food processing company. Using the digital twin approach, the model considers the industrial symbiosis opportunities between the supplier, manufacturer, and customer using interval and sequence variables operating in a constrained environment using mixed-integer linear programming (MILP) and agent-based simulation (ABS) methodology. The study optimizes the make-span and lead time, simultaneously achieving a higher level of digitalization. The analysis demonstrates how digital twin accelerates supply chain productivity by improving makespan time, data redundancy (DR), optimal scheduling plan (OSP), overall operations effectiveness (OOE), overall equipment effectiveness (OEE), and capacity utilization. Our findings provide compelling evidence that the seamless integration PPDs enormously enhance production flexibility, resulting in an excellent service level of 94 %. Managers leverage real-time simulation to accurately estimate the replenishment point with minimal lead time, ensuring optimized operations. Furthermore, our results demonstrate that implementing PPDs has yielded considerable benefits. Specifically, we observed a remarkable 65 % utilization of the pasteurizer and aging vessel and an impressive 97 % utilization of the freezer. Moreover, by applying the DT model, the present model found a notable 6 % reduction in backlog, further streamlining operations and enhancing efficiency.
published_date	2023-10-31T16:04:50Z
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Digital twin-driven real-time planning, monitoring, and controlling in food supply chains

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