Introduction to Distribution Logistics (Statistics in Practice)

Hardcover, xvi + 587 pages, NOT ex-library. Printed in the USA. Shipping weight over 1kg. Book is gently bent, interior is very good: clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Cosmetic damage to boards: long diagonal creases, one punctured indentation right on the upper edge (front & rear board), small indentations with creases to edges. Issued without a dust jacket. -- Contents: 1 Supply Chain Management [What do we mean by logistics?; Structure of production/distribution networks; Competition factors, cost drivers, and strategy; Role of inventories; Dealing with uncertainty; Physical flows and transportation; Information flows and decision rights; Time horizons and hierarchical levels; Decision approaches; Quantitative models and methods; For further reading] 2 Network Design and Transportation [Role of intermediate nodes in a distribution network; Location and flow optimization models; Models involving nonlinear costs; Continuous-space location models; Retail-store location models; For Further Reading] 3 Forecasting [Introduction; Variable to be predicted; Metrics for forecast errors; A classification of forecasting methods; Moving Average; Simple exponential smoothing; Exponential smoothing with trend; Exponential smoothing with seasonality; Smoothing with seasonality and trend; Simple linear regression; Forecasting models based on multiple regression; Forecasting demand for new products; Bass model] 4 Inventory Management with Deterministic Demand [Introduction; Economic Order Quantity; Robustness of EOQ model; Case of LT > 0: the (Q,R) model; Case of finite replenishment rate; Multi-item EOQ; Case of nonlinear costs; Case of variable demand with known variability] 5 Inventory Control: The Stochastic Case [Newsvendor problem; Multi-period problems; Fixed quantity: the (Q,R) model; Periodic review: S and (s,S) policies; S policy; (s,S) policy; Optimization of the (Q,R) model when the cost of a stockout depends on the occurrence of a stockout] 6 Managing Inventories in Multiechelon Supply Chains [Managing multiechelon chains: Installation vs Echelon Stock; Coordination in the supply chain: Bullwhip effect; A linear distribution chain with two echelons and certain demand; Arborescent chain: transit point with uncertain demand; A two-echelon supply chain in case of stochastic demand] 7 Incentives in the Supply Chain [Decisions on price: double marginalization; Decision on price in a competitive environment; Decision on inventories: the newsvendor problem; Decision on effort to produce and sell the product; Concluding remarks] 8 Vehicle Routing [Network routing problems: The TSP; Solution methods for symmetric TSP; Solution methods for basic VRP; Additional features of real-life VRP; Final remarks; For further reading]; Appendix A: A Quick Tour of Probability and Statistics [Sample space, events, and probability; Conditional probability and independence; Discrete random variables; Continuous random variables; Jointly distributed random variables; Independence, covariance, and conditional expectation; Stochastic processes; Parameter estimation; Hypothesis testing; Simple linear regression; Multiple linear regression; For further reading]; Appendix B An Even Quicker Tour in Mathematical Programming [Role and limitations of optimization models; Optimization models; Convex sets and functions; Nonlinear programming; Linear programming; Integer linear programming; Elements of multiobjective optimization; For further reading]; Index.