Urban Governance Integrative Approaches and Emerging Trends towards Sustainable and Resilient Supply Chain Management

Introduction - Urban governance: integrative approaches and emerging trends towards sustainable and resilient supply chain management

Jiuping Xu, Yi Lu, Asaf Hajiyev and Zongmin Li

1. Optimization of the sustainable food supply chain with integrative data envelopment analysis approach

Siwaporn Nannar, Sombat Sindhuchao, Chewaphorn Chaiyaphan and Kasin Ransikarbum

2. Integrated decisions for global supply chain network configuration: a dynamic multi-modal perspective

Shraddha Mishra and Kuldeep Lamba

3. Sustainable cold supply chain design for livestock and perishable products using data-driven robust optimization

Amir Arabsheybani, Alireza Arshadi Khamseh and Mir Saman Pishvaee

4. Optimal pricing and production lot size policy for sustainable production inventory model for defective items with advertisement and Bertrand’s price-dependent demand

C.K. Sivashankari, S. Sathishkumar, Shib Sankar Sana and V. Choudri

5. A carbon sensitive transport-based deteriorating supply chain model under type-2 fuzzy bi-matrix game

Biswajit Roy, Sujit Kumar De, Neelanjana Rajput and Ayush Bartwal

6. Decision of a trade credit policy in a supply chain model of growing items under linguistic fuzzy term set

Moumita Ojha and Sujit Kumar De

7. Determining inventory, purchasing and cutting policies to manage imperfect and perishable raw material

Marta Cabo and Edgar Possani

8. Do supply chain finance and trade digitization matter in mitigating financial instability in supply chains? An information processing theory view

Emily Wang, Stephanie Thomas Solansky and Hongming Xie

9. A heuristic master planning algorithm that includes fairness and flexibility

Ching-Chin Chern, Chun-Ying Leng and Bo Hsiao

10. An adaptive product changeover policy for a capacitated two-product supply chain in a non-stationary demand environment

R. R Corsini, A Costa and J. M Framinan

11. A PDCA based approach to evaluate green supply chain management performance under fuzzy environment

Sudipta Ghosh, Madhab Chandra Mandal and Amitava Ray

12. Developing supply chain resilience: a robust multi-criteria decision analysis method for transportation service provider selection under uncertainty

Amir Karbassi Yazdi, Amir Mehdiabadi, Peter Fernandes Wanke, Nazli Monajemzadeh, Henrique Luiz Correa and Yong Tan

13. Application of expected value and chance constraint on uncertain supply chain model with cost, risk and visibility for COVID-19 pandemic

Sharmistha Halder Jana

14. Applying GA-VNS approach to supply chain network model with facility and route disruptions

Chuluunsukh Anudari, YoungSu Yun and Mitsuo Gen

15. Multi-criteria decision-making methods for the evaluating of a real green supply chain in companies with fast-moving consumer goods

Elham Rastpour, Vahid Kayvanfar and Majid Rafiee

Biography

Jiuping Xu is Distinguished Professor of Sichuan University, P.R. China, and Editor-in-Chief of International Journal of Management Science and Engineering Management. His research interests include emergency management, urban resilience, decision science etc.

Yi Lu is Associate Dean and Professor at the Institute of Disaster Management and Reconstruction, a joint institution of Sichuan University and The Hong Kong Polytechnic University. His research focuses on the interdisciplinary field of emergency management, with a long-term dedication to studying the impact of major emergencies on economic and social systems and the corresponding countermeasures.

Asaf Hajiyev is Secretary General of PABSEC (Parliamentary Assembly of Black Sea Economic Cooperation), Academician of Azerbaijan National Academy of Sciences. His research interests include stochastic process and control theory.

Zongmin Li is 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 uncertain decision making, data-driven decision making, big data analytics.