Introduction to logistics systems management : with Microsoft Excel and Python examples /: with Microsoft Excel and Python examples. (2022)

• Record Type: Book
• Uniform Title: Introduction to logistics systems planning and control
• Further Information: Note: Gianpaolo Ghiani, Gilbert Laporte, Robert Musmanno.
• Authors: Ghiani, Gianpaolo; Laporte, Gilbert, 1950-; Musmanno, Roberto
• Contents: Foreword xiii Preface xv Acknowledgements xvii About the Authors xviii List of Abbreviations xix 1 Introducing Logistics 1 1.1 Definition of Logistics 1 1.2 Logistics Systems 3 1.3 Supply Chains 5 1.3.1 Logistics Versus Supply Chain Management 5 1.3.2 A Taxonomy of Supply Chains 5 1.3.3 The Bullwhip Effect 6 1.4 Logistics Service Providers 8 1.5 Logistics in Service Organizations 9 1.5.1 Logistics in Solid Waste Management 9 1.5.2 Humanitarian Logistics 10 1.6 Case Studies 11 1.6.1 Apple 11 1.6.2 Adidas AG 13 1.6.3 Galbani 14 1.6.4 Pfizer 15 1.6.5 Amazon 18 1.6.6 FedEx 20 1.6.7 A.P. Moller-Maersk 21 1.6.8 Canadian Pacific Railway 23 1.7 Trends in Logistics 24 1.7.1 Reverse and Sustainable Logistics 24 1.7.2 E-commerce Logistics 26 1.7.3 City Logistics 28 1.8 Logistics Objectives and KPIs 30 1.8.1 Capital-related KPIs 30 1.8.2 Cost-related KPIs 31 1.8.3 Service Level-related KPIs 32 1.9 Logistics Management 36 1.9.1 Logistics Planning 37 1.9.2 Logistics Organizational Structures 37 1.9.3 Controlling 41 1.10 Data Analytics in Logistics 48 1.10.1 Descriptive Analytics 48 1.10.2 Predictive Analytics 49 1.10.3 Prescriptive Analytics 49 1.11 Segmentation Analysis 69 1.11.1 Customer Segmentation 69 1.11.2 Product Segmentation 70 1.12 Information Systems 73 1.13 Questions and Problems 75 2 Forecasting Logistics Data 83 2.1 Introduction 83 2.2 Qualitative Methods 84 2.3 Quantitative Methods 85 2.3.1 Explanatory Versus Extrapolation Methods 87 2.3.2 The Forecasting Process 87 2.4 Exploratory Data Analysis 88 2.4.1 The Univariate Case 88 2.4.2 Histograms 89 2.4.3 Boxplots 90 2.4.4 Time Series Plots 92 2.4.5 The Bivariate Case 92 2.4.6 Scatterplots 93 2.5 Data Preprocessing 93 2.5.1 Insertion of Missing Data 93 2.5.2 Detection of Outliers 95 2.5.3 Data Aggregation 96 2.5.4 Removing Calendar Variations 98 2.5.5 Deflating Monetary Time Series 99 2.5.6 Adjusting for Population Variations 101 2.5.7 Data Normalization 101 2.6 Classification of Time Series 102 2.7 Explanatory Methods 105 2.7.1 Forecasting with Regression 105 2.7.2 Multicollinearity 107 2.7.3 Categorical Predictors 107 2.7.4 Coefficient of Determination 108 2.7.5 Polynomial Regression 109 2.7.6 Linear–log, Log–linear and Log–log Regression Models 111 2.7.7 Underfitting and Overfitting 111 2.7.8 Forecasting with Machine Learning 113 2.8 Extrapolation Methods 118 2.8.1 Notation 118 2.8.2 Decomposition Method 119 2.8.3 Further Extrapolation Methods: the Constant-trend Case 127 2.8.4 Further Extrapolation Methods: the Linear-trend Case 132 2.8.5 Further Extrapolation Methods: the Seasonality Case 137 2.8.6 Further Extrapolation Methods: the Irregular Time Series Case 146 2.8.7 Further Extrapolation Methods: the Intermittent Time Series Case 148 2.9 Accuracy Measures 154 2.9.1 Calibration of the Parametrized Forecasting Methods 155 2.9.2 Selection of the Most Accurate Forecasting Method 157 2.10 Forecasting Control 158 2.10.1 Tracking Signal 158 2.10.2 Control Charts 159 2.11 Interval Forecasts 162 2.12 Case Study: Sales Forecasting at Shivoham 163 2.13 Case Study: Sales Forecasting at Orlea 164 2.14 Questions and Problems 165 3 Designing the Logistics Network 177 3.1 Introduction 177 3.2 Classification of Logistics Network Design Problems 178 3.3 The Number of Facilities in a Logistics System 181 3.4 Qualitative Versus Quantitative Location Methods 183 3.5 The Weighted Scoring Method 183 3.6 The Analytical Hierarchy Process 185 3.7 Single-commodity One-echelon Continuous Location Problems 190 3.8 Single-commodity Two-echelon Continuous Location Problems 197 3.9 Single-commodity One-echelon Discrete Location Problems 200 3.10 Single-commodity Two-echelon Discrete Location Problems 222 3.11 The Multi-commodity Case 226 3.12 Location-covering Problems 230 3.13 p-centre Problems 234 3.14 Data Aggregation 241 3.15 Location Models Under Uncertainty 244 3.15.1 A Stochastic Location–allocation Model 244 3.15.2 A Location-routing Model with Uncertain Demand 247 3.16 Case Study: Intermodal Container Depot Location at Hardcastle 251 3.17 Case Study: Location–Allocation Decisions at the Italian National Transplant Centre 254 3.18 Questions and Problems 256 4 Selecting the Suppliers 267 4.1 Introduction 267 4.2 Definition of the Set of Potential Suppliers 269 4.3 Definition of the Selection Criteria 270 4.4 Supplier Selection 274 4.5 Supplier Relationship Management Software 278 4.6 Case Study: the System for the Selection of Suppliers at Baxter 279 4.7 Case Study: the Supplier Selection at Onokar 282 4.8 Questions and Problems 284 5 Managing a Warehouse 290 5.1 Introduction 290 5.1.1 Warehouse Operations 290 5.1.2 Warehouse Functional Zones 292 5.1.3 Advantages of Warehousing 294 5.2 Types of Warehouses 294 5.2.1 Classification with Respect to the Position in the Logistics System 294 5.2.2 Classification with Respect to Ownership 296 5.2.3 Classification with Respect to Climate-control 297 5.2.4 Classification with Respect to the Level of Automation 297 5.3 Warehousing Costs 298 5.4 Unit Loads 300 5.4.1 Freight Classification 300 5.4.2 Unit Loads and Stock Keeping Units 301 5.4.3 Packaging 301 5.4.4 Palletized Unit Loads 302 5.4.5 Containerized Unit Loads 305 5.5 Storage Systems 307 5.5.1 Block Stacking 307 5.5.2 Pallet Racks 307 5.5.3 Shelves 311 5.5.4 Cabinet and Carousel Systems 313 5.6 Internal Transportation Systems 314 5.6.1 Manual Handling and Non-autonomous Vehicles 315 5.6.2 Automated Guided Vehicles 318 5.6.3 Stacker Cranes 320 5.6.4 Conveyors 321 5.7 Product Identification Systems 322 5.7.1 SKU Codes 322 5.7.2 Global Trade Item Numbers 323 5.7.3 Barcodes 323 5.7.4 QR Codes 325 5.7.5 Logistic Labels 325 5.7.6 Radio-frequency Identification 325 5.8 Warehouse Performance Measures 327 5.9 Warehouse Management Systems 333 5.10 Warehouse Design 335 5.10.1 Internal Transportation Technology Selection 336 5.10.2 Layout Design 337 5.10.3 Sizing of the Storage Zone 341 5.10.4 Sizing of the Receiving and Shipping Zones 348 5.10.5 Sizing of an AS/RS 349 5.10.6 Sizing a Vehicle-based Internal Transportation System 354 5.11 Storage Space Allocation 355 5.12 Inventory Management 360 5.12.1 Deterministic models 361 5.12.2 Stochastic Models 373 5.12.3 Selecting an Inventory Policy 380 5.12.4 Multiproduct Inventory Models 382 5.13 Crossdock Door Assignment Problem 387 5.14 Put-away and Order Picking Optimization 390 5.14.1 Parts-to-picker Systems 390 5.14.2 Picker-to-parts and AGV-based Systems 390 5.15 Load Consolidation 397 5.15.1 One
• Edition: Third edition
• Publisher Details: Hoboken : John Wiley & Sons, Inc
• Publication Date: 2022
• Extent: 1 online resource, illustrations, maps
• Subjects: 658.5; Materials management; Materials handling; Business logistics
• Languages: English
• ISBNs: 9781119789406
• Related ISBNs: 9781119789390
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.