Introduction to distribution logistics /
Brandimarte, Paolo,
Introduction to distribution logistics / Paolo Brandimarte, Giulio Zotteri. - xvi, 587 páginas : ilustraciones ; 25 cm. - Statistics in practice . - Statistics in practice. .
Incluye bibliografía.
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 problem -- 2.2.2 The minimum cost flow problem -- 2.2.3 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 statistic -- 3.3.7 Using metrics of forecasting accuracy -- 3.4 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 seasonality -- 3.8.1 The demand model -- 3.8.2 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. Cover -- 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 environment -- 1.5.3 Inventory deployment -- 1.6 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 --^
0471750441 9780471750444
Análisis de redes (Planificación).--Matemáticas.
Flujo de trafico--Modelos matemáticos.
Logística de los negocios.--Métodos estadísticos.
Programación de la producción--Métodos estadísticos.
658.4032 / B818i 2007
Introduction to distribution logistics / Paolo Brandimarte, Giulio Zotteri. - xvi, 587 páginas : ilustraciones ; 25 cm. - Statistics in practice . - Statistics in practice. .
Incluye bibliografía.
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 problem -- 2.2.2 The minimum cost flow problem -- 2.2.3 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 statistic -- 3.3.7 Using metrics of forecasting accuracy -- 3.4 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 seasonality -- 3.8.1 The demand model -- 3.8.2 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. Cover -- 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 environment -- 1.5.3 Inventory deployment -- 1.6 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 --^
0471750441 9780471750444
Análisis de redes (Planificación).--Matemáticas.
Flujo de trafico--Modelos matemáticos.
Logística de los negocios.--Métodos estadísticos.
Programación de la producción--Métodos estadísticos.
658.4032 / B818i 2007