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Smart and Sustainable Operations and Supply Chain Management in Industry 4.0
Smart applications are transforming conventional supply chains into digital ones. To compete in today’s competitive market, organizations must utilize the merits of the Fourth Industrial Revolution while being sustainable, lean, and eco-conscious. Smart and Sustainable Operations and Supply Chain Management in Industry 4.0 closes the gap and provides novel ideas, research, and applications. This book discusses smart and sustainable supply chain management concepts that are analyzed within the Industry 4.0 perspective. It also highlights green systems and smart applications within an Industry 4.0 setting. The book presents the latest technological developments, including disruptive technologies and their impact on smart and sustainable supply chains under the triple bottom line approach. For easy reader comprehension, each chapter will include a case study, a related problem, or a numerical example, as well as the solution. This book is written for academicians, practitioners, PhD students, and researchers involved in this area.
Lean and Green Supply Chain Management
This book presents the latest developments in optimization and optimal control models; exact, approximate and hybrid methods; and their applications in lean and green supply chains. It examines supply chain network design and modeling, closed loop supply chains, and lean, green, resilient and agile or responsive networks, and also discusses corporate social responsibility and occupational health and safety. It particularly focuses on supply chain management under uncertainty – employing stochastic or nonlinear modeling, simulation based studies and optimization – multi-criteria decision-making and applications of fuzzy set theory, and covers various aspects of supply chain management such as risk management, supplier selection or the design of automated warehouses. Lastly, using experimental applications and practical case studies, it shows the impact of lean and green applications on vehicle/fleet management and operations management.
Logistics 4.0
Industrial revolutions have impacted both, manufacturing and service. From the steam engine to digital automated production, the industrial revolutions have conduced significant changes in operations and supply chain management (SCM) processes. Swift changes in manufacturing and service systems have led to phenomenal improvements in productivity. The fast-paced environment brings new challenges and opportunities for the companies that are associated with the adaptation to the new concepts such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology. These emerging technologies facilitated...
Smart and Sustainable Operations and Supply Chain Management in Industry 4.0
Smart applications are transforming conventional supply chains into digital ones. To compete in today’s competitive market, organizations must utilize the merits of the Fourth Industrial Revolution while being sustainable, lean, and eco-conscious. Smart and Sustainable Operations and Supply Chain Management in Industry 4.0 closes the gap and provides novel ideas, research, and applications. This book discusses smart and sustainable supply chain management concepts that are analyzed within the Industry 4.0 perspective. It also highlights green systems and smart applications within an Industry 4.0 setting. The book presents the latest technological developments, including disruptive technologies and their impact on smart and sustainable supply chains under the triple bottom line approach. For easy reader comprehension, each chapter will include a case study, a related problem, or a numerical example, as well as the solution. This book is written for academicians, practitioners, PhD students, and researchers involved in this area.
Multiple Criteria Decision Making and Aiding
This book introduces students on Multiple Criteria Decision Aiding and Making courses to practical, real-world cases. Each case study introduces a problem or situation together with a method, and a description and explanation of a computer application. In this sense each chapter is based on four pillars: the problem, the model building, the methods and their implementation. The book presents and elaborates a rich and comprehensive set of practical problems comprising multiple criteria, including numerous approaches for their solution, for decision support or decision aid. It complements traditional textbooks and lecture material by employing case studies to promote a deeper understanding of the investigated concepts and help students apply these methods to other areas.
Sustainable Logistics and Transportation
Focused on the logistics and transportation operations within a supply chain, this book brings together the latest models, algorithms, and optimization possibilities. Logistics and transportation problems are examined within a sustainability perspective to offer a comprehensive assessment of environmental, social, ethical, and economic performance measures. Featured models, techniques, and algorithms may be used to construct policies on alternative transportation modes and technologies, green logistics, and incentives by the incorporation of environmental, economic, and social measures. Researchers, professionals, and graduate students in urban regional planning, logistics, transport systems, optimization, supply chain management, business administration, information science, mathematics, and industrial and systems engineering will find the real life and interdisciplinary issues presented in this book informative and useful.
Multi-Criteria Decision Analysis
Multi-Criteria Decision-Making (MCDM) includes methods and tools for modeling and solving complex problems. MCDM has become popular in the production and service sectors to improve the quality of service, reduce costs, and make people more prosperous. This book illustrates applications through case studies focused on disaster management. With a presentation of both Multi-Attribute Decision-Making (MADM) and Multi-Objective Decision-Making (MODM) models, this is the first book to merge these methods and tools with disaster management. This book raises awareness for society and decision-makers on how to measure readiness and what necessary preventive measures need to be taken. It offers models and case studies that can be easily adapted to solve complex problems and find solutions in other fields. Multi-Criteria Decision Analysis: Case Studies in Disaster Management will offer new insights to researchers working in the areas of industrial engineering, systems engineering, healthcare systems, operations research, mathematics, business, computer science, and disaster management, and, hopefully, the book will also stimulate further work in MCDM.
Logistics and Supply Chain Management
This book constitutes selected and revised papers from the 7th International Conference Logistics and Supply Chain Management, held in December 2020 in Tehran, Iran. Due to the COVID-19 pandemic the conference was held online. The 17 full papers and 2 short papers pressented were thoroughly reviewed and selected out of 70 submissions. The papers are organized in the topical sections on information technology in supply chain management; production/scheduling and transportation in supply chain management; sustainable and resilient supply chain management; humanitarian supply chain management.
Smart and Sustainable Operations Management in the Aviation Industry
Industry 4.0 and disruptive technologies have transformed supply chains into globally connected collaborative networks. As supply chains become flexible, digital structures, the planning and operation phases of key processes become more complex. This book presents chapters on smart and sustainable supply chain management in aviation.
Fuzzy Analytic Hierarchy Process
This book is the first in the literature to present the state of the art and some interesting and relevant applications of the Fuzzy Analytic Hierarchy Process (FAHP). The AHP is a conceptually and mathematically simple, easily implementable, yet extremely powerful tool for group decision making and is used around the world in a wide variety of decision situations, in fields such as government, business, industry, healthcare, and education. The aim of this book is to study various fuzzy methods for dealing with the imprecise and ambiguous data in AHP. Features: First book available on FAHP. Showcases state-of-the-art developments. Contains several novel real-life applications. Provides useful insights to both academics and practitioners in making group decisions under uncertainty This book provides the necessary background to work with existing fuzzy AHP models. Once the material in this book has been mastered, the reader will be able to apply fuzzy AHP models to his or her problems for making decisions with imprecise data.
