Sustainable Operations, Supply Chain Management, and Business Analytics: Design, Data-Driven Optimization Models, and Performance Evaluation
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 487
Special Issue Editor
Special Issue Information
Dear Colleagues,
Sustainability has become a critical imperative in the fields of operations, supply chain management, and business analytics, prompting organizations to rethink strategies and adopt innovative practices for environmental stewardship, social responsibility, and economic viability. This Special Issue, "Sustainable Operations, Supply Chain Management, and Business Analytics: Design, Data-Driven Optimization Models, and Performance Evaluation", aims to explore advanced methodologies, benchmarking frameworks, performance evaluation techniques, and data-driven optimization models that enable organizations to achieve sustainable outcomes across their operational and supply chain activities.
We invite original research articles, comprehensive reviews, and case studies addressing key issues such as sustainable procurement, green logistics, circular economy practices, carbon footprint reduction, eco-efficiency enhancement, ethical supply chains, and resource efficiency. Papers focusing on benchmarking sustainable practices, performance metrics and evaluation frameworks, and the role of business analytics in sustainable decision-making processes are particularly welcomed. Additionally, studies highlighting the integration of artificial intelligence, big data analytics, and data-driven optimization techniques to enhance sustainability performance and drive continuous improvement are strongly encouraged.
Contributions should present novel approaches, empirical validations, or impactful theoretical advancements that deliver practical insights for managers, policymakers, and academics. By curating high-quality research, this Special Issue aims to provide actionable knowledge supporting effective decision-making towards sustainable supply chain management and business analytics, ultimately contributing to the achievement of global sustainable development goals.
Prof. Dr. Sungmook Lim
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- sustainable supply chain management
- business analytics
- benchmarking
- performance evaluation
- data-driven optimization
- eco-efficiency
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