05818nam 2200733 a 450 991014342690332120230721025935.01-280-95701-897866109570190-470-17005-00-470-17004-2(CKB)1000000000354897(EBL)309787(OCoLC)476092178(SSID)ssj0000182516(PQKBManifestationID)11156506(PQKBTitleCode)TC0000182516(PQKBWorkID)10171995(PQKB)11096951(MiAaPQ)EBC309787(EXLCZ)99100000000035489720070209d2007 uy 0engur|n|---|||||txtccrIntroduction to distribution logistics[electronic resource] /Paolo Brandimarte, Giulio ZotteriHoboken, N.J. Wiley-Intersciencec20071 online resource (608 p.)Statistics in practiceDescription based upon print version of record.0-471-75044-1 Includes bibliographical references and index.Introduction to Distribution Logistics; Contents; Preface; 1 Supply Chain Management; 1.1 What do we mean by logistics?; 1.1.1 Plan of the chapter; 1.2 Structure of production/distribution networks; 1.3 Competition factors, cost drivers, and strategy; 1.3.1 Competition factors; 1.3.2 Cost drivers; 1.3.3 Strategy; 1.4 The role of inventories; 1.4.1 A classical model: Economic order quantity; 1.4.2 Capacity-induced stock; 1.5 Dealing with uncertainty; 1.5.1 Setting safety stocks; 1.5.2 A two-stage decision process: Production planning in an assemble-to-order environment1.5.3 Inventory deployment1.6 Physical flows and transportation; 1.7 Information flows and decision rights; 1.8 Time horizons and hierarchical levels; 1.9 Decision approaches; 1.10 Quantitative models and methods; 1.11 For further reading; References; 2 Network Design and Transportation; 2.1 The role of intermediate nodes in a distribution network; 2.1.1 The risk pooling effect: reducing the uncertainty level; 2.1.2 The role of distribution centers and transit points in transportation optimization; 2.2 Location and flow optimization models; 2.2.1 The transportation problem2.2.2 The minimum cost flow problem2.2.3 The plant location problem; 2.2.4 Putting it all together; 2.3 Models involving nonlinear costs; W.2.4 Continuos-space location models; W.2.5 Retail-Store Location Models; 2.6 For further reading; References; 3 Forecasting; 3.1 Introduction; 3.2 The variable to be predicted; 3.2.1 The forecasting process; 3.3 Metrics for forecast errors; 3.3.1 The Mean Error; 3.3.2 Mean Absolute Deviation; 3.3.3 Root Mean Square Error; 3.3.4 Mean Percentage Error and Mean Absolute Percentage Error; 3.3.5 ME%, MAD%, RMSE%; 3.3.6 Theil's U statistic3.3.7 Using metrics of forecasting accuracy3.4 A classification of forecasting methods; 3.5 Moving Average; 3.5.1 The demand model; 3.5.2 The algorithm; 3.5.3 Setting the parameter; 3.5.4 Drawbacks and limitations; 3.6 Simple exponential smoothing; 3.6.1 The demand model; 3.6.2 The algorithm; 3.6.3 Setting the parameter; 3.6.4 Initialization; 3.6.5 Drawbacks and limitations; 3.7 Exponential smoothing with trend; 3.7.1 The demand model; 3.7.2 The algorithm; 3.7.3 Setting the parameters; 3.7.4 Initialization; 3.7.5 Drawbacks and limitations; 3.8 Exponential smoothing with seasonality3.8.1 The demand model3.8.2 The algorithm; 3.8.3 Setting the parameters; 3.8.4 Initialization; 3.8.5 Drawbacks and limitations; 3.9 Smoothing with seasonality and trend; 3.9.1 The demand model; 3.9.2 The algorithm; 3.9.3 Initialization; 3.10 Simple linear regression; 3.10.1 Setting up data for regression; W.3.11 Forecasting models based on multiple regression; 3.12 Forecasting demand for new products; 3.12.1 The Delphi method and the committee process; 3.12.2 Lancaster model: forecasting new products through product features; 3.12.3 The early sales model; 3.13 The bass model3.13.1 Limitations and drawbacksunique introduction to distribution logistics that focuses on both quantitative modeling and practical business issues Introduction to Distribution Logistics presents a complete and balanced treatment of distribution logistics by covering both applications and the required theoretical background, therefore extending its reach to practitioners and students in a range of disciplines such as management, engineering, mathematics, and statistics. The authors emphasize the variety and complexity of issues and sub-problems surrounding distribution logistics as well as the limitations and scoStatistics in practice.Network analysis (Planning)MathematicsProduction schedulingStatistical methodsBusiness logisticsStatistical methodsTraffic flowMathematical modelsPhysical distribution of goodsMathematicsDistribution (Probability theory)Network analysis (Planning)Mathematics.Production schedulingStatistical methods.Business logisticsStatistical methods.Traffic flowMathematical models.Physical distribution of goodsMathematics.Distribution (Probability theory)658.8Brandimarte Paolo283971Zotteri Giulio1970-731160MiAaPQMiAaPQMiAaPQBOOK9910143426903321Introduction to distribution logistics1440337UNINA