| Title | Time evolution of a Supply Chain Network: Kinetic modeling |
|---|---|
| ID_Doc | 75806 |
| Authors | Debnath, B; El-Hassani, R; Chattopadhyay, AK; Kumar, TK; Ghosh, SK; Baidya, R |
| Title | Time evolution of a Supply Chain Network: Kinetic modeling |
| Year | 2022 |
| Published | |
| Abstract | Resilient supply chains are often inherently dependent on the nature of their complex interconnected networks that are simultaneously multi-dimensional and multi-layered. This article presents a Supply Chain Network (SCN) model that can be used to regulate downstream relationships towards a sustainable SME using a 4-component cost function structure - Environmental (E), Demand (D), Economic (E), and Social (S). As a major generalization to the existing practice of using phenomenological interrelationships between the EDES cost kernels, we propose a complementary time varying model of a cost function, based on Lagrangian mechanics (incorporating SCN constraints through Lagrange multipliers), to analyze the time evolution of the SCN variables to interpret the competition between economic inertia and market potential. Multicriteria decision making, based on an Analytic Hierarchy Process (AHP), ranks performance quality, identifying key business decision makers. The model is first solved numerically and then validated against real data pertaining to two Small and Medium Enterprises (SMEs) from diverse domains, establishing the domain-independent nature of the model. The results quantify how increases in a production line without appropriate consideration of market volatility can lead to bankruptcy, and how high transportation cost together with increased production may lead to a break-even state. The model also predicts the time it takes a policy change to reinvigorate sales, thereby forecasting best practice operational procedure that ensures holistic sustainability on all four sustainability fronts. (c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| https://doi.org/10.1016/j.physa.2022.128085 |
Similar Articles
| ID | Score | Article |
|---|---|---|
72939
|
Madani, B; Saihi, A; Abdelfatah, A A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends(2024)Sustainability, 16, 8 | |
| 71615
|
Faisal, MN; Al-Esmael, B; Sharif, KJ Supplier selection for a sustainable supply chain Triple bottom line (3BL) and analytic network process approach(2017)Benchmarking-An International Journal, 24.0, 7 | |
| 74235
|
Ayyildiz, E Interval valued intuitionistic fuzzy analytic hierarchy process-based green supply chain resilience evaluation methodology in post COVID-19 era(2023)Environmental Science And Pollution Research, 30, 15 | |
| 25946
|
Krstic, M; Agnusdei, L; Palmi, P; Balezentis, T Enabling organizations to strategically manage risks in circular supply chains(2024) | |
| 66238
|
Giannakis, M; Dubey, R; Vlachos, I; Ju, YB Supplier sustainability performance evaluation using the analytic network process(2020) | |
| 70358
|
Abdel-Basset, M; Mohamed, R A novel plithogenic TOPSIS- CRITIC model for sustainable supply chain risk management(2020) | |
| 69869
|
Mangla, SK; Govindan, K; Luthra, S Prioritizing the barriers to achieve sustainable consumption and production trends in supply chains using fuzzy Analytical Hierarchy Process(2017) | |
| 13686
|
Tsao, YC; Balo, HT; Lee, CKH Resilient and sustainable semiconductor supply chain network design under trade credit and uncertainty of supply and demand(2024) | |
| 68393
|
Oubrahim, I; Sefiani, N An integrated multi-criteria decision-making approach for sustainable supply chain performance evaluation from a manufacturing perspective(2024) | |
| 74681
|
Mogale, DG; De, A; Ghadge, A; Aktas, E Multi-objective modelling of sustainable closed-loop supply chain network with price-sensitive demand and consumer's incentives(2022) |