This book presents a cohesive collection of cutting-edge research focused on advanced decision-support methodologies for complex and ambiguous operational contexts. This volume systematically assembles ten pivotal studies employing uncertain decision-making, multi-criteria decision analysis (MCDA), and tailored optimization models to address substantive challenges in supply chain management, sustainable operations, and strategic planning.
The contributions span a rigorous methodological spectrum, including fuzzy PDCA cycles for green performance evaluation, hybrid MCDM frameworks for lean tool selection, and robust optimization for resilient network design. Applications are drawn from critical domains such as healthcare logistics during epidemic response, sustainable supply chain configuration, and large-scale project trade-off analysis under resource constraints. Each chapter demonstrates the translation of theoretical computational models into applied solutions for decision-making under volatility, incomplete information, and multi-objective pressures.
This volume will serve as a significant reference for academics and graduate researchers in management science, operations research, and industrial engineering. It provides a structured examination of how contemporary soft computing and operational research techniques can be leveraged to enhance analytical rigor and strategic outcomes in the face of pervasive environmental uncertainty.
The chapters in this book were published in International Journal of Management Science and Engineering Management.
This volume systematically assembles ten pivotal studies employing uncertain decision-making, multi-criteria decision analysis (MCDA), and tailored optimization models to address substantive challenges in supply chain management, sustainable operations, and strategic planning.
Introduction
1. A PDCA based approach to evaluate green supply chain
management performance under fuzzy environment
2. Extraction of rules related
to marketing mix on customers buying behavior using Rough set theory and
fuzzy 2-tuple approach
3. Decision-making through fuzzy TOPSIS and COPRAS
approaches for lean tools selection: A case study of automotive accessories
manufacturing industry
4. Designing a new model for the hub
location-allocation problem with considering tardiness time and cost
uncertainty
5. Developing supply chain resilience: a robust multi-criteria
decision analysis method for transportation service provider selection under
uncertainty
6. Improved Segregated Advancement (I-SA): a new method for
solving full triangular fuzzy transportation problems
7. A new fuzzy
bi-objective mixed-integer linear programming for designing a medical waste
management network in the Coronavirus epidemic: a case study
8. Decision of a
trade credit policy in a supply chain model of growing items under linguistic
fuzzy term set
9. Fuzzy clustering opposition multi-objective forensic-based
investigation to tradeoff construction project time cost under limited
resource
10. Optimizing inventory planning in multi-echelon supply chains
under uncertainty: a decision-making approach using review policies
Jiuping Xu is Distinguished Professor at Business School, Sichuan University, P. R. China, and editor-in-chief of International Journal of Management Science and Engineering Management. His research interests include Uncertain Decision Making, Decision Analysis and Optimization Modelling.
Benjamin Lev is Trustee Professor at LeBow College of Business, Drexel University, USA. His research interests include Decision Science, Intelligent Decision Making.
Zongmin Li is a professor of Business School, Sichuan University, P. R. China, and managing editor of International Journal of Management Science and Engineering Management. Her research interests include data-driven decision making, big data analytics.
