Efficient supply chain management is essential for maintaining successful workflows within companies. A lack of decisional, organizational, and information integration can lead to increased cost for a business due to missed opportunities, delays, inefficient inventory decisions, poor capacity allocation, and misuse of resources. Companies must employ collaborative practices across all functions of the supply chain in order to avoid costly mishaps. Hierarchical Planning and Information Sharing Techniques in Supply Chain Management is an essential reference source that discusses information exchanges and approaches of coordination related to operation planning for a better understanding of how hierarchical planning techniques and principles can contribute to the effective and efficient management and planning of supply chain activities. Featuring research on topics such as competitive advantages, information sharing, and transport management, this book is ideally designed for managers, academicians, and practitioners in the field of supply chain management, operations management, logistics, and operations research.
In a decentralized supply chain, most of the supply chain agents may not share information due to confidentiality policies, quality of information, or different system incompatibilities. Every actor holds its own set of information and attempts to maximize its objective (minimizing costs/minimizing inventory holdings) based on the available settings. Therefore, the agents control their own activities with the objective of improving their own competitiveness, which leads them to make decisions that maximize their local performance by ignoring the other agents or even the final consumer. These decisions are myopic because they do not consider the performance of all the partners to satisfy the consumer. Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics is a collection of innovative research that focuses on demand anticipation, forecasting, and order planning as well as humanitarian logistics to propose original solutions for existing problems. While highlighting topics including artificial intelligence, information sharing, and operations management, this book is ideally designed for supply chain managers, logistics personnel, business executives, management experts, operation industry professionals, academicians, researchers, and students who want to improve their understanding of supply chain coordination in order to be competitive in the new era of globalization.
Efficient supply chain management is essential for maintaining successful workflows within companies. A lack of decisional, organizational, and information integration can lead to increased cost for a business due to missed opportunities, delays, inefficient inventory decisions, poor capacity allocation, and misuse of resources. Companies must employ collaborative practices across all functions of the supply chain in order to avoid costly mishaps. Hierarchical Planning and Information Sharing Techniques in Supply Chain Management is an essential reference source that discusses information exchanges and approaches of coordination related to operation planning for a better understanding of how hierarchical planning techniques and principles can contribute to the effective and efficient management and planning of supply chain activities. Featuring research on topics such as competitive advantages, information sharing, and transport management, this book is ideally designed for managers, academicians, and practitioners in the field of supply chain management, operations management, logistics, and operations research.
In a decentralized supply chain, most of the supply chain agents may not share information due to confidentiality policies, quality of information, or different system incompatibilities. Every actor holds its own set of information and attempts to maximize its objective (minimizing costs/minimizing inventory holdings) based on the available settings. Therefore, the agents control their own activities with the objective of improving their own competitiveness, which leads them to make decisions that maximize their local performance by ignoring the other agents or even the final consumer. These decisions are myopic because they do not consider the performance of all the partners to satisfy the consumer. Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics is a collection of innovative research that focuses on demand anticipation, forecasting, and order planning as well as humanitarian logistics to propose original solutions for existing problems. While highlighting topics including artificial intelligence, information sharing, and operations management, this book is ideally designed for supply chain managers, logistics personnel, business executives, management experts, operation industry professionals, academicians, researchers, and students who want to improve their understanding of supply chain coordination in order to be competitive in the new era of globalization.