In today’s world, the concept of a circular economy has emerged as a vital solution to address pressing environmental concerns and foster sustainable development. At its core, the circular economy aims to minimize waste generation by keeping resources in use for as long as possible, thereby reducing the strain on natural ecosystems and promoting resource efficiency.
Operations research and data science play a crucial role in implementing circular economy principles by bridging the gap between data generated from new technologies and decision-making processes.
This book serves as a comprehensive guide, illustrating how operations research and data science techniques can function as a decision support system, facilitating the optimal implementation of circular economy principles. With a particular focus on waste management, the book delves into various aspects such as recycling, reusing, and refurbishing, providing practical real-world applications and examples.
By blending theoretical frameworks with practical insights, the book empowers both professionals and researchers with the essential tools and knowledge to navigate the intricacies of sustainable waste management. It underscores the significance of operations research and data science in facilitating the optimal implementation of circular economy principles. Offering comprehensive insights and actionable examples, readers acquire valuable guidance for implementing positive changes in waste management practices.
Chapter 1 A Decision-making approaches for deconstruction
operations optimization: a literature review.
Chapter 2 A Novel Optimization
Model for Sustainable Life Cycle Design: Circular Economy Case Study in the
Automotive Industry.
Chapter 3 Exploring Options for Designing an Optimal
Circular Spent Coffee Grounds Reverse Logistics Network: An
Optimization-based Approach.
Chapter 4 Optimizing Circular Economy:
Simulation and optimisation in stochastic inventory control of perishable
dairy products.
Chapter 5 Sustainability with 4R principle on
multi-objective waste management under Fermatean fuzzy environment.
Chapter
6 Optimizing the MunicipalWaste Management to Support Circular Economy
Program at Regency Level in Indonesia: Case Study in Banyumas Regency.-
Chapter 7 The price and attitude to recycling: manufacturers and
consumers points of view.
Chapter 8 Transition Pathway from Linear to
Circular Economy in Waste Management in Indonesia: A study of two cities.-
Chapter 9 Multicriteria Sustainability Index (MSI) in the Chico
Mendes Extractive Reserve, in the state of Acre, Brazil.
Chapter 10 Plastics
recycling dilemma: A value chain perspective on integrating mechanical and
chemical recycling for closing the plastic loop.
Chapter 11 BCpbP - Blue
Circular PostBranding Project, a local Portuguese
case study for a Blue Circular Economy.
Bassem Jarboui is a full professor and chair of excellence in circular economy at Université Polytechnique Hauts-de-France, France. He had edited eight books and two special journal issues. He also organized and chaired five international conferences. He published over 150 scientific papers including books, academic journals, edited proceedings, and book chapters.
Said Toumi holds a PhD in operations research and serves as an assistant professor at the Higher Institute of Transport and Logistics of Sousse. He is currently affiliated with the College of Business Administration at Majmaah University in Saudi Arabia. His research interests primarily focus on using data science and operations research tools to solve problems in logistics and supply chain management.
Patrick Siarry has received the PhD degree from the University Paris 6 in 1986 and the Doctorate of Sciences (Habilitation) from the University Paris 11 in 1994. He was first involved in the development of analog and digital models of nuclear power plants at Electricite de France (EDF). Since 1995, he is a professor in automatics and informatics. His main research interests are the applications of new stochastic global optimization heuristics to various engineering fields.
