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What are the biggest challenges facing those managing supply chains? Qualitative Modeling of Offshore Outsourcing Risks in Supply Chain Management and Logistics is intended to benefit the stakeholders in client organizations by raising their understanding and awareness about the most dominant risks. This will equip supply chain managers to give more emphasis to mitigating these risks. It further showcases the development and validation of a conceptual framework that depicts the relationship among key offshore outsourcing risks. The text explores modelling various risks which disrupt the automotive supply chain and cybersecurity breaches in digital supply chains. This book: Covers structural modelling of key offshore outsourcing risks for understanding their driving and dependence power Presents a conceptual framework and hierarchical structural model for perfect order fulfilment in both upstream and downstream supply chains Explores the challenges in handling operational risks associated with poor delivery performance or service quality Models dimensions which affect vendor selection in offshore outsourcing environment Investigates cultural influences on the management of geographically distributed operations in offshore outsourcing Addresses the workforce-related offshore outsourcing risk such as loss of key professionals Discusses the risk associated with selection of location, viz. distribution centres/warehouses in supply chain and logistics Models dimensions related to cybersecurity breaches in digital supply chains because of IT offshoring It is aimed at senior undergraduate and graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, mechanical engineering, supply chain management and production engineering.
"This book will benefit the stakeholders in client organizations by raising understanding and awareness about the most dominant offshore outsourcing risks, so they may give more emphasis to mitigating those risks. It further showcases the development and validation of a conceptual framework that depicts the relationship among key offshore outsourcing risks. The text explores modelling various risks which disrupt the automotive supply chain and cyber security breaches in digital supply chains. This book: Covers a chapter discussing structural modelling of key offshore outsourcing risks for understanding their driving and dependence power. Presents conceptual framework and hierarchical structural model for perfect order fulfilment in both upstream and downstream supply chains. Explores the challenges in handling operational risks associated with poor delivery performance or service quality. Models dimensions which effect vendor selection in offshore outsourcing environment Investigates cultural influence on the management of geographically distributed operations in offshore outsourcing. Addresses the workforce-related offshore outsourcing risk such as loss of key professionals. Discusses the risk associated with selection of location viz. distribution centres / warehouses in supply chain and logistics. Models dimensions related to cyber security breaches in digital supply chains because of IT offshoring. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields such as manufacturing engineering, industrial engineering, mechanical engineering, supply chain management, and production engineering"--
In order to keep up with the constant changes in technology, business have adopted supply chain management to improve competitive strategies on a strategic and operational level. Supply Chain Management: Concepts, Methodologies, Tools, and Applications is a reference collection which highlights the major concepts and issues in the application and advancement of supply chain management. Including research from leading scholars, this resource will be useful for academics, students, and practitioners interested in the continuous study of supply chain management and its influences.
Computational Intelligence (CI) is a term corresponding to a new generation of algorithmic methodologies in artificial intelligence, which combines elements of learning, adaptation, evolution and approximate (fuzzy) reasoning to create programs that can be considered intelligent. Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues. Emphasis is given to techniques that provide effective solutions to complex supply chain problems and exhibit superior performance to other methods of operations research.
Stresses quantitative models and methods used in supply chain management Highlights global supplier selection and vendor management techniques Discusses the use of multiple criteria decision-making models used in supply chain management Provides a new chapter on health and humanitarian supply chains, including disaster management and logistics modeling Offers exercises at the end of every chapter and a solutions manual and PowerPoint slides for qualified textbook adoptions
The evolution of industrial development since the 18th century is now experiencing the fourth industrial revolution. The effect of the development has propagated into almost every sector of the industry. From inventory to the circular economy, the effectiveness of technology has been fruitful for industry. The recent trends in research, with new ideas and methodologies, are included in this book. Several new ideas and business strategies are developed in the area of the supply chain management, logistics, optimization, and forecasting for the improvement of the economy of the society and the environment. The proposed technologies and ideas are either novel or help modify several other new ideas. Different real life problems with different dimensions are discussed in the book so that readers may connect with the recent issues in society and industry. The collection of the articles provides a glimpse into the new research trends in technology, business, and the environment.
Since 2007, the biennial International Conferences on Dynamics in Logistics (LDIC) offers researchers and practitioners from logistics, operations research, production, industrial and electrical engineering as well as from computer science an opportunity to meet and to discuss the latest developments in this particular research domain. From February 12th to 14th 2020 for the seventh time, LDIC 2020 is held in Bremen, Germany. Similar to its six predecessors, the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) organizes this conference. The spectrum of topics reaches from the dynamic modeling, planning and control of processes over supply chain management and maritime logistics to innovative technologies and robotic applications for cyber-physical production and logistics systems. LDIC 2020 provides a forum for the discussion of advances in that matter. The conference program consists of three invited keynote speeches and 51 papers selected by a severe double-blind reviewing process. Within these proceedings all the papers are published. By this, the proceedings give an interdisciplinary outline on the state of the art of dynamics in logistics as well as identify challenges and solutions for logistics today and tomorrow.
Logistics and Supply Chain Management has been a vital part of every economy and every business entity. Both sciences have become prestigious research fields focusing on best practices, concepts, and methods. Outsourcing Management for Supply Chain Operations and Logistics Services is concentrated on the key players of the outsourcing paradigm; the organizations that provide logistics services, the Third Party Logistics (3PL’s), as well as their clients, presenting and promoting the lessons learned by their cooperation. Specifically, this publication presents studies which are relevant to practitioners, researchers, students, and clients of the application of the Outsourcing practice on the Logistics and Supply Chain Management services giving emphasis to 3PL’s.
In attempts to reduce greenhouse gas emissions, many alternatives to manufacturing have been recommended from a number of international organizations. Although challenges will arise, remanufacturing has the ability to transform ecological and business value. Computational Intelligence in Remanufacturing introduces various computational intelligence techniques that are applied to remanufacturing-related issues, results, and lessons from specific applications while highlighting future development and research. This book is an essential reference for students, researchers, and practitioners in mechanical, industrial, and electrical engineering.
As businesses seek to compete on a global stage, they must be constantly aware of pressures from all levels: regional, local, and worldwide. The organizations that can best build advantages in diverse environments achieve the greatest success. Global Business Expansion: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source for the latest scholarly material on the emergence of new ideas and opportunities in various markets and provides organizational leaders with the tools they need to be successful. Highlighting a range of pertinent topics such as market entry strategies, transnational organizations, and competitive advantage, this multi-volume book is ideally designed for researchers, scholars, business executives and professionals, and graduate-level business students.