TY - BOOK ID - 207194 TI - Supply chain optimization AU - Geunes, Joseph. AU - Pardalos, P. M. PY - 2005 VL - 98 SN - 1280312122 9786610312122 0387262814 PB - New York : Springer, DB - UniCat KW - Business logistics. KW - Delivery of goods. KW - Store delivery services KW - Transportation KW - Parcel post KW - Shipment of goods KW - Supply chain management KW - Industrial management KW - Logistics KW - Production management. KW - Mathematical optimization. KW - Operations research. KW - Mathematics. KW - Industrial procurement. KW - Operations Management. KW - Optimization. KW - Operations Research/Decision Theory. KW - Applications of Mathematics. KW - Procurement. KW - Math KW - Science KW - Operational analysis KW - Operational research KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - Buyer-supplier relations KW - Buying, Industrial KW - Industrial buying KW - Industrial equipment KW - Industrial purchasing KW - Procurement, Industrial KW - Purchasing, Industrial KW - Supplier-buyer relations KW - Purchasing KW - Optimization (Mathematics) KW - Optimization techniques KW - Optimization theory KW - Systems optimization KW - Mathematical analysis KW - Maxima and minima KW - Operations research KW - Simulation methods KW - System analysis KW - Manufacturing management KW - Decision making. KW - Applied mathematics. KW - Engineering mathematics. KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management KW - Management decisions KW - Choice (Psychology) KW - Problem solving KW - Engineering KW - Engineering analysis KW - Decision making KW - Mathematics UR - https://www.unicat.be/uniCat?func=search&query=sysid:207194 AB - Supply Chain Optimization captures the latest results in a segment of current research activity in supply chain management. This research area focuses on applying optimization techniques to supply chain management problems. The research papers that make up the volume provide a snapshot of state-of-the-art optimization methods within the field. This book presents rigorous modelling approaches for supply chain operations problems with a goal of improving supply chain performance (or the performance of some segment thereof). It contains high-quality works from leading researchers in the field whose expertise fits within this scope. The book provides a diverse blend of research topics and novel modelling and solution approaches for difficult classes of supply chain operations, planning, and design problems. Audience This book is intended for • researchers in supply chain management, applied operations research, and optimization; • industry practitioners in supply chain management with interests in operations management and operations research; • graduate students in supply chain management and optimization-related disciplines. ER -