TY - BOOK ID - 7987216 TI - Handbook of EOQ Inventory Problems : Stochastic and Deterministic Models and Applications PY - 2014 SN - 1461476380 1461476399 1489993541 PB - New York, NY : Springer US : Imprint: Springer, DB - UniCat KW - Management KW - Business & Economics KW - Management Theory KW - Supply-side economics. KW - Operations research. KW - Operational analysis KW - Operational research KW - Reaganomics KW - Business. KW - Decision making. KW - Management science. KW - Business and Management. KW - Operation Research/Decision Theory. KW - Operations Research, Management Science. KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - Economics KW - Production (Economic theory) KW - Operations Research/Decision Theory. KW - Quantitative business analysis KW - Problem solving KW - Operations research KW - Statistical decision KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management decisions KW - Choice (Psychology) KW - Decision making UR - https://www.unicat.be/uniCat?func=search&query=sysid:7987216 AB - The Economic Order Quantity (EOQ) inventory model first appeared in 1913, and in its centennial, it is still one of the most important inventory models. Despite the abundance of both classical and new research results, there was (until now) no comprehensive reference source that provides the state-of-the-art findings on both theoretical and applied research on the EOQ and its related models. This edited handbook puts together all these interesting works and the respective insights into an edited volume. The handbook contains papers which explore both the deterministic and the stochastic EOQ-model based problems and applications. It is organized into three parts: Part I presents three papers that provide an introduction and review of various EOQ related models. Part II includes four technical analyses on single-echelon EOQ-model based inventory problems. Part III consists of five papers on applications of the EOQ model for multi-echelon supply chain inventory analysis. ER -