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Showing 1 - 6 of 6 matches in All Departments
While typically many approaches have been mainly mathematics focused, graph theory has become a tool used by scientists, researchers, and engineers in using modeling techniques to solve real-world problems. Graph Theory for Operations Research and Management: Applications in Industrial Engineering presents traditional and contemporary applications of graph theory in the areas of industrial engineering, management science, and applied operations research. This comprehensive collection of research introduces the useful basic concepts of graph theory in real world applications.
Logisticsisan integralpartofoureverydaylife.Todayit in?uencesmorethanevera largenumberofhumanandeconomicactivities. Inthisbook, authorstryto illustrate some advanced logistics and supply chain management topics, recently mentioned by academic and industrial personnel. This book has been organized in 12 chapters such that the reader can study each chapter not only independently as shown in Fig. 1; but also as part of a whole. If someone wants to study the book more deeply, the suggested approach for this study is shown in Fig. 2. So the readers of this book may be divided into at least two groups: (1) students in Master's courses or higher, who can use this book in their courses as a whole, and (2) experts who want to learn more about a new topic in logistics and supply chain management; this group may want to read a chapter about a special topic that is found in this book. In the context of global competition, the more latent topics in logistics supply chain management are fast growing. This book falls within this perspective and presents 12 chapters that well illustrate the variety and complexity of these topics. This book is organized as follows: Chapter 1 introduces logistics and supply chain management and contains some primal de?nitions about these two concepts; some obstacles, prerequisites and infrastructures of modernized logistics and supply chain management and global supply chain management are illustrated.
The mathematical science of facility locating has attracted much attention in d- crete and continuous optimization over nearly last four decades. Investigators have focused on both algorithms and formulations in diverse settings in both the private sectors (e.g., industrial plants, banks, retail facilities, etc.) and the public sectors (e.g., hospitals, post stations, etc.). Facility location problems locate a set of facilities (resources) to minimize the cost ofsatisfying someset ofdemands(ofthecustomers)with respectto some set of constraints. Facility location decisions are critical elements in strategic planning for awiderangeofprivateandpublic?rms.Thebranchesoflocatingfacilities arebroad and long-lasting, in?uencing numerous operational and logistical decisions. High costs associated with property acquisition and facility construction make facility location or relocation projects long-term investments. Decision makers must select sites that will not only perform well according to the current system state, but also willcontinuetobepro?tableforthefacility'slifetime, evenas environmentalfactors change, populationsshift, andmarkettrendsevolve.Findingrobustfacilitylocations is thus a dif?cult task, demanding decision makers to account for uncertain future events. Locationscience is an areaof analyticalstudythat can be tracedbackto Pierrede Fermat, Evagelistica Torricelli (a student of Galileo), and Battista Cavallieri. Each one independently proposed (and some say solved) the basic Euclidean spatial - dian problem early in the seventeenth century.
Many organizations find supply chain management an essential prerequisite to building a sustainable competitive edge for their services or products. While interest in SCM is enormous, lack of theoretical frameworks and real world applications often characterizes research in the field, and effective management of the supply chain remains elusive. Supply Chain Sustainability and Raw Material Management: Concepts and Processes is a comprehensive and up-to-date resource for operations researchers, management scientists, industrial engineers, and other business practitioners and specialists looking for systemic and advanced discussions of supply chain management. By presenting qualitative concepts, quantitative models, and case studies, this book is a coherent guide to creating long-term and sustainable performance for organizations who want to compete in the global market.
Logisticsisan integralpartofoureverydaylife.Todayit in?uencesmorethanevera largenumberofhumanandeconomicactivities. Inthisbook, authorstryto illustrate some advanced logistics and supply chain management topics, recently mentioned by academic and industrial personnel. This book has been organized in 12 chapters such that the reader can study each chapter not only independently as shown in Fig. 1; but also as part of a whole. If someone wants to study the book more deeply, the suggested approach for this study is shown in Fig. 2. So the readers of this book may be divided into at least two groups: (1) students in Master's courses or higher, who can use this book in their courses as a whole, and (2) experts who want to learn more about a new topic in logistics and supply chain management; this group may want to read a chapter about a special topic that is found in this book. In the context of global competition, the more latent topics in logistics supply chain management are fast growing. This book falls within this perspective and presents 12 chapters that well illustrate the variety and complexity of these topics. This book is organized as follows: Chapter 1 introduces logistics and supply chain management and contains some primal de?nitions about these two concepts; some obstacles, prerequisites and infrastructures of modernized logistics and supply chain management and global supply chain management are illustrated.
The mathematical science of facility locating has attracted much attention in d- crete and continuous optimization over nearly last four decades. Investigators have focused on both algorithms and formulations in diverse settings in both the private sectors (e.g., industrial plants, banks, retail facilities, etc.) and the public sectors (e.g., hospitals, post stations, etc.). Facility location problems locate a set of facilities (resources) to minimize the cost ofsatisfying someset ofdemands(ofthecustomers)with respectto some set of constraints. Facility location decisions are critical elements in strategic planning for awiderangeofprivateandpublic?rms.Thebranchesoflocatingfacilities arebroad and long-lasting, in?uencing numerous operational and logistical decisions. High costs associated with property acquisition and facility construction make facility location or relocation projects long-term investments. Decision makers must select sites that will not only perform well according to the current system state, but also willcontinuetobepro?tableforthefacility'slifetime, evenas environmentalfactors change, populationsshift, andmarkettrendsevolve.Findingrobustfacilitylocations is thus a dif?cult task, demanding decision makers to account for uncertain future events. Locationscience is an areaof analyticalstudythat can be tracedbackto Pierrede Fermat, Evagelistica Torricelli (a student of Galileo), and Battista Cavallieri. Each one independently proposed (and some say solved) the basic Euclidean spatial - dian problem early in the seventeenth century.
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