Abstract
The imperative to shift towards renewable energy sources has emerged due to the worldwide energy crisis and escalating temperatures. The emergence of third-generation biodiesel has attracted significant attention as a viable substitute for fossil fuels, owing to its notable environmental and economic benefits. However, the establishment of a sustainable production and delivery mechanism for biodiesel necessitates the implementation of an efficient supply chain management strategy. The objective of this study is to present a comprehensive decision support system for managing the multi-echelon supply chain of third-generation biodiesel. The bi-objective optimization approach incorporates both economic and environmental objectives to develop sustainable production and delivery policies. To improve environmental performance and lower production setup costs, it is proposed that businesses invest in technology and product advertisement. Robust possibilistic programming (RPP) is utilized to address the inclusion of epistemic uncertainty in the model parameters. Given the NP-Hard structure of the problem, a metaheuristic technique is employed in order to address the problem at hand. Model analysis involves subjecting numerical findings to rigorous investigation, including numerous decision-maker choices and sensitivity instances. The research findings present a roadmap that stakeholders can utilize to collaborate in order to effectively achieve sustainability objectives.
Original language | English |
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Pages (from-to) | 167-201 |
Number of pages | 35 |
Journal | Journal of Industrial and Management Optimization |
Volume | 21 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2025 |
Bibliographical note
Publisher Copyright:© (2025), (American Institute of Mathematical Sciences). All rights reserved.
Keywords
- process improvement
- Renewable energy supply chain
- robust optimization
- Single-setup multi-delivery policy
- technology investments
ASJC Scopus subject areas
- Business and International Management
- Strategy and Management
- Control and Optimization
- Applied Mathematics