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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, Mohammad Abedin Orcid Logo

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

Swansea University Author: Mohammad Abedin Orcid Logo

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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 2023-09-05T16:04:48.7044315 v2 64158 2023-08-29 Digital twin-driven real-time planning, monitoring, and controlling in food supply chains 4ed8c020eae0c9bec4f5d9495d86d415 0000-0002-4688-0619 Mohammad Abedin Mohammad Abedin true false 2023-08-29 CBAE 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 Management School COLLEGE CODE CBAE 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 Mohammad Abedin 0000-0002-4688-0619 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
Mohammad 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_***_Mohammad Abedin
author Mohammad Abedin
author2 Pratik Maheshwari
Sachin Kamble
Amine Belhadi
Mani Venkatesh
Mohammad Abedin
format Journal article
container_title Technological Forecasting and Social Change
container_volume 195
container_start_page 122799
publishDate 2023
institution Swansea University
issn 0040-1625
1873-5509
doi_str_mv 10.1016/j.techfore.2023.122799
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Accounting and Finance{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Accounting and Finance
url http://dx.doi.org/10.1016/j.techfore.2023.122799
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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 2023-10-31T08:13:38Z
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