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Introduction to logistics systems management / Gianpaolo Ghiani, Gilbert Laporte, Roberto Musmanno.

By: Ghiani, Gianpaolo.
Contributor(s): Laporte, Gilbert, 1950- | Musmanno, Roberto.
Material type: materialTypeLabelBookSeries: Wiley series in operations research and management science: Publisher: Oxford : Wiley-Blackwell, 2013Edition: 2nd ed.Description: 1 online resource (xxi, 455 pages) : illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 111849220X; 9781118492208; 9781118492185; 1118492188.Subject(s): Materials management | Materials handling | Business logistics | BUSINESS & ECONOMICS -- Production & Operations Management | TECHNOLOGY & ENGINEERING -- Industrial Engineering | TECHNOLOGY & ENGINEERING -- Industrial Technology | Business logistics | Materials handling | Materials managementGenre/Form: Electronic books.Additional physical formats: Print version:: Introduction to logistics systems management.DDC classification: 658.5 Online resources: Wiley Online Library
Contents:
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.
Summary: 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 systems management and is based on the rich experience of the authors in teaching, research and industrial consulting. This new edition puts more emphasis on the organizational context in which logistics systems operate and also covers several new models and techniques tha.
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Includes index.

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.

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 systems management and is based on the rich experience of the authors in teaching, research and industrial consulting. This new edition puts more emphasis on the organizational context in which logistics systems operate and also covers several new models and techniques tha.

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