Introduction to logistics systems management
Introduction to Logistics Systems Management is the fully revised and enhanced version of the 2004 prize-winning textbook Introduction to Logistics Systems Planning and Control, used in universities around the world. This textbook offers an introduction to the methodological aspects of logistics sys...
| Autor principal: | |
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Oxford :
Wiley-Blackwell
2013.
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| Edición: | 2nd ed |
| Colección: | Wiley ebooks.
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| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b46158509*spi |
Tabla de Contenidos:
- Cover; Title Page; Copyright; Contents; Foreword by Marc Goetschalckx; Preface; Acknowledgements; About the Authors; List of Abbreviations; Chapter 1 Introducing logistics; 1.1 Definition of logistics; 1.2 Logistics systems; 1.2.1 Logistics activities; 1.2.2 Information flows and logistics networks; 1.2.3 Case of more products; 1.3 Reverse logistics; 1.4 Integrated logistics; 1.5 Objectives of logistics; 1.5.1 Measures of the service level; 1.6 Management of the logistics system; 1.6.1 Planning phase; 1.6.2 Organizational phase; 1.6.3 Control phase; 1.7 Case study: The Pfizer logistics system.
- 1.8 Questions and problemsChapter 2 Forecasting logistics requirements; 2.1 Introduction; 2.2 Qualitative methods; 2.3 Quantitative methods; 2.3.1 Graphical representation of time series; 2.3.2 Classification of time series; 2.4 Data preprocessing; 2.4.1 Insertion of missing data; 2.4.2 Detection of outliers; 2.4.3 Data aggregation; 2.4.4 Removing the calendar variations; 2.4.5 Deflating monetary time series; 2.4.6 Adjusting for population variations; 2.4.7 Normalizing the data; 2.5 Choice of the forecasting method; 2.5.1 Notation; 2.5.2 Casual versus extrapolation methods.
- 2.5.3 Decomposition method2.5.4 Further time series extrapolation methods: The constant trend case; 2.5.5 Further time series extrapolation methods: The linear trend case; 2.5.6 Further time series extrapolation methods: The seasonal effect case; 2.5.7 Further time series extrapolation methods: The irregular series case; 2.5.8 Sporadic time series; 2.6 Advanced forecasting method; 2.7 Accuracy measure and forecasting monitoring; 2.7.1 Accuracy measures; 2.7.2 Tuning of the forecasting methods; 2.7.3 Forecast control; 2.8 Interval forecasts.
- 2.9 Case study: Forecasting methods at Adriatica Accumulatori2.10 Case study: Sales forecasting at Orlea; 2.11 Questions and problems; Chapter 3 Locating facilities in logistics systems; 3.1 Introduction; 3.2 Qualitative methods; 3.3 Quantitative methods; 3.3.1 Single-commodity single-echelon continuous location problems; 3.3.2 Single-commodity single-echelon discrete location problems; 3.3.3 Single-commodity two-echelon discrete location problems; 3.3.4 The multi-commodity case; 3.3.5 Location-covering problems; 3.3.6 p-centre problems; 3.4 Hybrid methods; 3.5 Stochastic location models.
- 3.6 Case study: Container warehouse location at Hardcastle3.7 Case study: The organ transplantation location-allocation policy of the Italian National Transplant Centre; 3.8 Questions and problems; Chapter 4 Selecting the suppliers; 4.1 Introduction; 4.2 Definition of the set of potential suppliers; 4.3 Definition of the selection criteria; 4.4 Supplier selection; 4.5 Case study: The system for the selection of suppliers at Baxter; 4.6 Questions and problems; Chapter 5 Managing a warehouse; 5.1 Introduction; 5.1.1 Performance parameters; 5.1.2 Decision-making problems; 5.2 Warehouse design.
