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transportation --- distribution --- logistics management --- warehouse manageme --- business logistics --- Telecommunication services --- Transport. Traffic --- Business policy --- Business logistics --- Economics --- Management --- Logistique (Organisation) --- Économie politique --- Gestion --- Business logistics. --- Economics. --- Management. --- Économie politique

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The term ‘shipping’ has evolved from its original relationship to ships and seaborne trade, to encompass any mode of transport that moves goods between two points. The implication of the extended meaning of ‘shipping’ is that the shipping industry has become more complex, as well as more dynamic. Traditionally, the theory and knowledge of shipping management and operations are transferred in the workplace, from practitioners to newcomers; little has been systemically organized and published in books. Shipping and Logistics Management serves to consolidate the knowledge its authors have acquired from being educators and observers of the shipping industry. Against the background of a global business environment, it explains how the shipping market functions, examining the strategic and operational issues that affect entrepreneurs in this industry. The authors discuss global trends and strategies in the shipping business, looking at the role of logistics service providers and at how the use of information technology can help shipping operations. Shipping and Logistics Management also aims to answer several important questions in the shipping industry, including: • What are the shipping markets? • How are freight rates determined? • What are the shipping cost structures? • What are the patterns of sea transport? and • How do companies in the shipping industry operate? An invaluable source of information for researchers and advanced, or graduate, students, Shipping and Logistics Management is also a useful reference for shipping practitioners and consultants.

Business logistics -- Management. --- Physical distribution of goods -- Management. --- Physical distribution of goods --- Business logistics --- Civil & Environmental Engineering --- Commerce --- Marketing & Sales --- Civil Engineering --- Engineering & Applied Sciences --- Business & Economics --- Management --- Management. --- Engineering. --- Production management. --- Engineering economics. --- Engineering economy. --- Engineering Economics, Organization, Logistics, Marketing. --- Operations Management. --- Industrial management --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Manufacturing management

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Purchasing and Supply Management (PSM) is still not considered a strategic function in many companies although on average more than half of a company’s value proposition stems from its suppliers. In today’s economy, companies which neglect the strategic management of their supply base fall behind their competitors. In many boardrooms, PSM is currently on top of the agenda. However, PSM can only create the advantages necessary to stay ahead of the competition when a company’s supply base is managed according to its overall strategic objectives. Roger Moser analyses the relationships between business priorities and PSM strategy and shows in detail how business strategies influence PSM, in particular supplier selection. He shows how a strategy-based selection of suppliers can generate competitive advantages in PSM and for the company. His work contributes to a research stream which aims at integrating PSM more closely into strategic management. Furthermore, the author develops a PSM strategy concept which enables supply managers to break down strategic priorities from a business strategy level to a PSM level and to define appropriate actions when dealing with suppliers, supply markets and internal customers.

Business logistics -- Management. --- Industrial procurement. --- Purchasing. --- Strategic planning. --- Management --- Business & Economics --- Management Theory --- Management Styles & Communication --- Business logistics --- Purcahasing --- Management. --- Business. --- Production management. --- Business and Management. --- Procurement. --- Operations Management. --- Purchasing --- Manufacturing management --- Industrial management --- Buyer-supplier relations --- Buying, Industrial --- Industrial buying --- Industrial equipment --- Industrial purchasing --- Procurement, Industrial --- Purchasing, Industrial --- Supplier-buyer relations

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To survive and thrive in the competition, firms have strived to achieve greater supply chain collaboration to leverage the resources and knowledge of suppliers and customers.  Internet based technologies, particularly interorganizational systems, further extend the firms’ opportunities to strengthen their supply chain partnerships and share real-time information to optimize their operations.  Supply Chain Collaboration: Roles of Interorganizational Systems, Trust, and Collaborative Culture explores the nature and characteristics, antecedents, and consequences of supply chain collaboration from multiple theoretical perspectives.  Supply Chain Collaboration: Roles of Interorganizational Systems, Trust, and Collaborative Culture conceptualizes supply chain collaboration as seven interconnecting elements including information sharing, incentive alignment, goal congruence, decision synchronization, resource sharing, as well as communication and joint knowledge creation. These seven components define the occurrence of collaborative efforts and allow us to explain supply chain collaboration more precisely. Collaborative advantages are also divided into five components to capture the joint competitive advantages and benefits among supply chain partners. The definitions and measures developed here examine some central issue surrounding supply chain development but this is also followed up with real-life managerial practicalities. This balance of theory and practical application makes Supply Chain Collaboration: Roles of Interorganizational Systems, Trust, and Collaborative Culture a strong resource for industry practitioners and researchers alike.

Business logistics -- Data processing. --- Business logistics -- Management. --- Industrial procurement -- Management. --- Business logistics --- Management --- Civil & Environmental Engineering --- Business & Economics --- Engineering & Applied Sciences --- Management Styles & Communication --- Civil Engineering --- Data processing --- Business logistics. --- Supply chain management --- Engineering. --- Production management. --- Engineering economics. --- Engineering economy. --- Manufacturing industries. --- Machines. --- Tools. --- Engineering Economics, Organization, Logistics, Marketing. --- Operations Management. --- Manufacturing, Machines, Tools. --- Industrial management --- Logistics --- Manufactures. --- Manufacturing, Machines, Tools, Processes. --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries --- Manufacturing management --- Economy, Engineering --- Engineering economics --- Industrial engineering

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Risk analysis is crucial in stochastic supply chain models. Over the past few years, the pace has quickened for  research attempting to explore risk analysis issues in supply chain management problems, while the majority of recent papers focus on conceptual framework or computational numerical analysis.  Pioneered by Nobel laureate Markowitz in the 1950s, the mean-risk (MR) formulation became a fundamental theory for risk management in finance. Despite the significance and popularity of MR-related approaches in finance, their applications in studying multi-echelon supply chain management problems have only been seriously explored in recent years. While the MR approach has already been shown to be useful in conducting risk analysis in stochastic supply chain models, there is no comprehensive reference source that provides the state-of-the-art findings on this important model for supply chain management. Thus it is significant to have a book that reviews and extends the MR related works for supply chain risk analysis.  This book is organized into five chapters. Chapter 1 introduces the topic, offers a timely review of various related areas, and explains why the MR approach is important for conducting supply chain risk analysis. Chapter 2 examines the single period inventory model with the mean-variance and mean-semi-deviation approaches. Extensive discussions on the efficient frontiers are also reported. Chapter 3 explores the infinite horizon multi-period inventory model with a mean-variance approach. Chapter 4 investigates the supply chain coordination problem with a versatile target sales rebate contract and a risk averse retailer possessing the mean-variance optimization objective. Chapter 5 concludes the book and discusses various promising future research directions and extensions. Every chapter can be taken as a self-contained article, and the notation within each chapter is consistently employed.

Business logistics -- Management. --- Business logistics -- Risk management. --- Business. --- Economics. --- Business logistics --- Management --- Business & Economics --- Management Theory --- Management Styles & Communication --- Risk management --- Risk management. --- Management. --- Supply chain management --- Production management. --- Operations research. --- Decision making. --- Management science. --- Business and Management. --- Operation Research/Decision Theory. --- Operations Research, Management Science. --- Operations Management. --- Industrial management --- Logistics --- Operations Research/Decision Theory. --- Manufacturing management --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making