Dynamics in Logistics (eBook)

Proceedings of the 7th International Conference LDIC 2020, Bremen, Germany
eBook Download: PDF
2020 | 1st ed. 2020
XIII, 569 Seiten
Springer International Publishing (Verlag)
978-3-030-44783-0 (ISBN)

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Since 2007, the biennial International Conferences on Dynamics in Logistics (LDIC) offers researchers and practitioners from logistics, operations research, production, industrial and electrical engineering as well as from computer science an opportunity to meet and to discuss the latest developments in this particular research domain. From February 12th to 14th 2020 for the seventh time, LDIC 2020 is held in Bremen, Germany. Similar to its six predecessors, the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) organizes this conference. The spectrum of topics reaches from the dynamic modeling, planning and control of processes over supply chain management and maritime logistics to innovative technologies and robotic applications for cyber-physical production and logistics systems. LDIC 2020 provides a forum for the discussion of advances in that matter. The conference program consists of three invited keynote speeches and 51 papers selected by a severe double-blind reviewing process. Within these proceedings all the papers are published. By this, the proceedings give an interdisciplinary outline on the state of the art of dynamics in logistics as well as identify challenges and solutions for logistics today and tomorrow.

Preface 6
Contents 9
Part I: Maritime Logistics and Multi-Modal Transport 14
Recommendations for Human Resources Development in Danube Inland Ports 15
Abstract 15
1 Introduction 15
2 Methodology 17
3 Literature Review 18
4 Findings 19
4.1 Current Human Resource Structure in Danube Ports 19
4.2 Current and Future Training Requirements 23
4.3 Personas – Description of Future Employees Types 24
5 Discussion and Recommendations for Human Resources Development 25
6 Conclusion, Limitations and Research Outlook 29
Acknowledgment 30
References 30
System Dynamics Modeling of Logistics Hub Capacity: The Dubai Logistics Corridor Case Study 33
Abstract 33
1 Introduction 33
2 Literature Analysis: System Dynamics Approach in Logistics 34
3 The Dubai Logistics Corridor 35
4 Proposed Approach 36
4.1 Causal Loop Diagram Representation of the Model 36
5 The SD Model and Case-Scenario Analyses 39
6 Validation 41
7 Implications, Limitations and Conclusion 42
References 42
Towards Intelligent Waterway Lock Control for Port Facility Optimisation 44
1 Introduction 44
2 Use Case 45
3 Waterway Lock Operations 46
4 Architecture for Intelligent Lock Control 48
4.1 Data Acquisition and Data Integration 48
4.2 Prediction Models 49
4.3 Multi-Agent System 50
5 Risk Management and Evaluation 51
6 Summary and Next Steps 52
References 53
On the Influence of Structural Complexity on Autonomously Controlled Automobile Terminal Processes 54
Abstract 54
1 Introduction 54
2 Automobile Terminal Planning Processes 55
3 Autonomous Control of Logistics Processes 56
4 Automobile Terminal Scenario 57
4.1 Structural Configuration of the Scenario 57
4.2 Modelling Incoming and Outgoing Volumes 58
4.3 Conventional Control Method 59
4.4 Autonomous Control Method 59
5 Simulation Results 60
6 Summary and Outlook 62
Acknowledgements 62
References 63
Literature Classification on Container Transport Systems for Inter-terminal Transportation 64
Abstract 64
1 Motivation 64
2 Introduction to Inter-terminal Transportation 65
3 Literature Review and Classification 66
3.1 Classification Scheme 67
3.2 Classification Tables 68
4 Research Perspectives 70
4.1 General 70
4.2 Process Integration at the Nodes 71
4.3 Process Integration at the Edges 71
5 Conclusions 71
References 72
A Simulation Study of a Storage Policy for a Container Terminal 74
Abstract 74
1 Introduction 74
2 Literature Review 75
3 Storage Policy for a Container Terminal 75
4 Simulation Design 77
5 Experiment Design and Discussion 77
6 Conclusion 80
Acknowledgment 80
References 80
Investigation of Vessel Waiting Times Using AIS Data 82
Abstract 82
1 Introduction 82
2 Previous Work 83
3 Data and Data Pre-processing 84
4 Results 86
5 Discussion 89
References 90
Resource Sharing as a Management Concept for Digital Logistics Terminals 91
Abstract 91
1 Introduction 91
2 Resource Sharing as a Management Concept? 92
2.1 Definition of a Shared Resource 92
2.2 Use and Provision of a Shared Resource 93
2.3 Conceptual Framework 94
2.4 Overview of Potential Applications 95
3 Use Case: Digital Logistics Terminal 95
3.1 Intermodal Transport and Digital Logistics Terminals? 95
3.2 Application of the Shared Resources Concept 96
4 Conclusion 97
References 98
Coordinating the Seaport-Hinterland Interface: Theoretical and Methodological Insights from Scientific Literature 101
Abstract 101
1 Introduction 101
2 Need for Coordination at the Seaport-Hinterland Interface 102
3 Methodology 103
3.1 Background on Systematic Literature Reviews 103
3.2 Data Collection and Analysis 104
4 Results 105
4.1 Characteristics of Literature Sample 105
4.2 Analysis of Central Problems in the Research Area 105
4.3 Analysis of Theoretical Perspectives and Methodological Approaches 106
5 Conclusion, Critical Reflection and Outlook 107
Appendix A – Search and Evaluation Process 108
Appendix B – References for Systematic Literature Review 109
References 111
Sensor Simulation and Evaluation for Infrastructure-Free Mobile Sensor Carrier Platforms 113
Abstract 113
1 Variety of Sensor Platform Types 113
2 Benefits and Applications of Mobile Infrastructure-Free Sensor Platforms 115
3 Requirements in Human-Machine and Machine-Machine Collaboration 116
4 Sensor Analysis 116
4.1 Time-of-Flight Sensor Errors 117
5 Simulation of Time-of-Flight Sensors 121
6 Evaluation of Simulation Results 122
7 Conclusion 124
Acknowledgements 125
References 125
Expansion Planning at Container Terminals 126
Abstract 126
1 Introduction 126
2 Methodology 128
3 Results and Discussion 129
3.1 Industry: Project Reflections 131
3.2 Case Study: Specific Scientific Examples 131
3.3 Method: General Discussions 131
4 Conclusions and Future Research Directions 132
Appendix: Reviewed Literature 133
References 135
A Hybrid Robust-Stochastic Optimization Approach for the Noise Pollution Routing Problem with a Heterogeneous Vehicle Fleet 136
Abstract 136
1 Introduction 136
2 Literature Review 137
3 Model Formulation 138
3.1 Hybrid Robust-Stochastic Optimization Methodology 138
3.2 Formulation of the Base Deterministic Formulation 139
3.3 Formulation of the Stochastic NPRP 142
3.4 Formulation of the Hybrid Robust-Stochastic NPRP (HRNPRP) 143
4 Computational Experiments 143
5 Conclusions 145
References 146
Part II: Supply Chain Management and Coordination 147
The Influence of Cognitive Biases on Supply Chain Risk Management in the Context of Digitalization Projects 148
Abstract 148
1 Introduction 148
2 Literature Review 150
2.1 Supply Chain Risk Management at Times of Digitalization 150
2.2 The Decision-Making Process and Cognitive Biases 150
3 Findings – Cognitive Biases’ Influence on SCRM 153
3.1 Phase 1 – Identifying 153
3.2 Phase 2 – Assessing and Evaluating 154
3.3 Phase 3 – Mitigating and Controlling 155
4 Handling the Human Factor in SCRM Through Debiasing 156
5 Conclusion 157
References 157
Flow Management Tools and Techniques for Logistics Performance: An Application to the Logistics Service Sector in Cameroon 159
Abstract 159
1 Introduction 159
1.1 The Concept of Logistics Performance 161
1.2 The Theory of Resources 161
1.3 The Theory of Dynamic Capabilities 162
1.4 Research Hypotheses 163
1.4.1 Application of New Solutions 163
1.4.2 Investment in Recruitment and Training of Qualified Personnel 163
2 Research Methodology 164
2.1 Sample and Data Collection 164
2.2 Measuring Variables 164
2.3 Factor Analyses 165
3 Findings 165
3.1 Descriptive Analysis of the Sample 165
3.2 Hypothesis Testing and Discussion 165
3.2.1 Relationship Between the Application of New Solutions and the Quality of the Logistics Service 166
3.2.2 Relationship Between Investment in Recruitment and Training of Qualified Personnel and Cost Reduction 166
3.3 Discussion and Conclusion 167
References 168
Blockchain and Risk in Supply Chain Management 170
Abstract 170
1 Introduction 170
2 Theoretical Background 171
3 Methodology 171
4 Conceptual Model and Discussion 173
5 Concluding Remarks 174
References 174
Prioritizing Supply Chain Agility Factors Using Fuzzy Analytic Network Process (FANP) 177
1 Introduction 177
2 Literature Review 178
3 Research Methodology 180
3.1 Fuzzy Analytic Network Process (FANP) 181
4 Conclusions 183
References 184
Influence of Supply Chain Management & Logistics in the Wake of China Pakistan Economic Corridor (CPEC) on Domestic Industry in Pakistan
Abstract 186
1 Introduction 186
2 Model Development 188
3 Research Methodology 189
3.1 Data and Sampling Technique 190
3.2 Reliability of Model 190
3.3 Confirmatory Factor Analysis (CFA) 191
3.4 Estimation of SEM 192
3.5 Model Fit 193
4 Results and Discussion 194
5 Conclusion 195
References 195
A Disruption Management Model for a Production-Inventory System Considering Green Logistics 197
Abstract 197
1 Introduction 197
2 Model Development 199
2.1 Model Formulation 199
2.1.1 Objective Function 201
3 Results and Discussion 202
3.1 Numerical Analysis 202
4 Conclusion 205
Acknowledgment 205
References 205
A Concept for a Consumer-Centered Sustainable Last Mile Logistics 207
Abstract 207
1 Introduction 207
2 Current Stage of Consumer-Centered Sustainable Logistics 208
2.1 Green/Sustainable City Logistics 208
2.2 Food Logistics from the Consumer’s Perspective 209
2.3 Critical Reflection on Current State of Research 210
3 Method Development 210
3.1 Objective and Boundary Conditions 210
3.2 Suggested Approach 211
4 Conclusion and Outlook 212
References 212
The Omnichannel Retailing Capabilities Wheel: Findings of the Literature 215
Abstract 215
1 Introduction 215
2 Literature Review 217
3 Descriptive Synthesis of Results 218
3.1 Ordinary Capabilities for Omnichannel Retailing 219
3.2 Dynamic Capabilities for Omnichannel Retailing 219
4 Conclusion 221
References 222
Sustainable Retail Supply Chain Management – A Bibliometric Viewpoint 226
Abstract 226
1 Introduction 226
2 Methodology 227
3 Results and Discussion 228
4 Conclusions 231
Appendix 1 232
References 232
Part III: Distributed and Collaborative Planning and Control 236
Autonomous Production Control Methods - Job Shop Simulations 237
1 Introduction 237
2 State of the Art 238
2.1 Autonomous Production Control 238
2.2 Existing Autonomous Production Control Methods 238
2.3 Research Gap 238
3 Methodology 240
3.1 Simulation Setup 240
3.2 Selected Autonomous Production Control Methods 241
4 Results 242
5 Conclusion 243
References 244
Individual Predictive Maintenance Approach for Diesel Engines in Rail Vehicles 246
Abstract 246
1 Introduction 246
1.1 Motivation 246
1.2 Objective 247
2 State of the Art 247
2.1 Maintenance Strategies for Diesel Engines in Rail Freight 247
2.2 Methods for Predicting the Remaining Useful Life for Preventive Maintenance 248
2.3 Meta-learning for Selecting and Parameterizing Appropriate Forecasting Models 249
3 Solution Approach 249
4 Economic Potential Due to Predictive Maintenance of Diesel Engines in Rail Freight 252
5 Conclusion 253
Acknowledgements 253
References 253
Modelling Autonomous Production Control: A Guide to Select the Most Suitable Modelling Approach 255
1 Introduction 255
2 Modelling of Production Planning and Control 256
3 Minimal Models 257
4 Linear Programming 259
5 Discrete-Event Simulation 260
6 Conclusion 261
References 262
Predictive Manufacturing Tardiness Inference in OEM Milk-Run Operations 264
Abstract 264
1 Introduction 264
2 Order Release Tardiness Effects on OEM Milk-Run Operations 266
2.1 Order Delivery Tardiness Forecast 266
2.2 An Approximate Tardiness Forecast Example 267
2.3 Milk-Run Shifts Without Machine Breakdown 268
2.4 Milk-Run Shifts with Machine Breakdown 269
3 Conclusion and Research Prospects 271
Acknowledgements 271
References 271
Implementation of a Total Cost of Ownership Model for Last-Mile Logistics as a Constraint Satisfaction Problem 273
1 Introduction 273
2 TCO Model 274
2.1 Production Factors 274
2.2 Cost Functions 274
2.3 Feasible Production Combinations 276
3 Constraint Based TCO Implementation 278
3.1 TCO MODEL as a PROLOG CSP 279
3.2 CSP-TCO Application 280
3.3 Usecases 280
4 Simulation 281
5 Conclusions 282
References 282
A Theoretical Framework Assessment Proposal for a Complexity Degree Measurement on a Supply Chain Network 284
Abstract 284
1 Introduction 284
2 Literature Review Background 285
2.1 Supply Chain Complexity 285
2.2 Drivers in Supply Chain Complexity 286
2.3 SC Risk Management 290
3 Methodology 290
4 Supply Chain Complexity Theoretical Assessment Framework 290
5 Test Case and Preliminary Results 292
6 Conclusions 293
References 294
Supply Chain Integration: A Bibliometric Analysis 296
Abstract 296
1 Introduction 296
1.1 Starting Points of Consideration 296
1.2 Research Objectives and Methodology 296
2 What is Supply Chain Integration? 298
3 Results 299
4 Discussion and Conclusion 303
Appendix 1 304
Appendix 2 305
References 306
Development of a Decision Support Model for Managing Supply Chain Design Problems in Global Service Supply Chains 309
Abstract 309
1 Introduction 309
2 Literature Review 310
3 Model Development 311
3.1 Introduction 311
3.2 Basic Setup 312
3.3 The Mixed-Integer Linear Program (MILP) 313
3.4 The Analytical Hierarchy Process (AHP) 315
3.5 Integrating AHP and MILP to Calculate the Pareto Frontier 316
4 Conclusion 317
References 317
Shelter Site Selection and Allocation Model for Efficient Response to Humanitarian Relief Logistics 319
1 Introduction 319
2 Related Work 320
3 Methodology 321
4 Case Study 323
5 Results and Discussion 324
5.1 Computational Results 324
5.2 Sensitivity Analysis 325
6 Conclusion and Future Research 327
References 327
Part IV: Modeling, Simulation, and Optimization 329
A Hypercube Queuing Model Approach for the Location Optimization Problem of Emergency Vehicles for Large-Scale Study Areas 330
Abstract 330
1 Introduction 330
2 Literature Review 331
2.1 Coverage and P-Median Models 331
2.2 Hypercube Queuing Model 331
3 Large-Scale SQM 332
3.1 Model Formulation 333
3.2 Aggregation Algorithm 335
4 Solution Technique, Study Area and Results 336
4.1 Study Area 336
4.2 Results 336
5 Conclusion 338
References 338
Dynamic Optimization Model for Planning of Multi-echelon Logistic System Activity 340
Abstract 340
1 Introduction 340
2 Problem Statement 341
3 Optimization Model for Random Demand Over Planning Horizon 347
4 Conclusion 348
References 349
Simulation-Based Sensitivity Analysis of Dynamic Contract Extension Elements in Supplier Development 350
1 Introduction 350
2 Related Literature 351
3 Model Description 352
4 Experimental Setup 353
5 Numerical Results 354
6 Conclusion 358
References 359
Searching for Production Robustness Through Simulation-Based Scheduling Optimization 360
Abstract 360
1 Introduction 360
2 Some Works Using DES on Production Scheduling 361
3 Main Steps Behind the Proposed Method 362
4 Applying the Proposed Method to a Three Machine Schedule Example 363
4.1 Input Data: The Production Schedule 363
4.2 Input Data: The Production Schedule in Excel 365
4.3 The ARENA Simulation Model 366
4.4 Simulation Results and Analysis 366
5 Final Considerations 369
Acknowledgment 370
References 370
A Multiagent System for Truck Dispatching in Open-pit Mines 372
1 Introduction 372
2 Problem Definition 373
3 Formalization 374
4 An Alternative Solution Approach: Multiagent System 376
4.1 Scheduling MAS Architecture 376
4.2 Interaction in the Scheduling MAS 377
4.3 Decision Making 377
5 Results and Discussion 379
6 Conclusions 381
References 381
Drone Delivery Using Public Transport: An Agent-Based Modelling and Simulation Approach 383
Abstract 383
1 Introduction 383
2 Drone Delivery Using Public Transport (DDPT) Concept 384
3 Methodology 385
3.1 Simulation Setup 385
3.2 DDPT Models 386
3.3 Truck Delivery Models 387
3.4 Key Performance Indicators (KPIs) 387
4 Results and Discussion 387
4.1 Experiment Generation 387
4.2 Experiment Results 388
5 Conclusion 390
References 391
Part V: Intelligent Production and Logistics Systems 393
Perspectives on the Application of Internet of Things in Logistics 394
Abstract 394
1 Introduction 394
2 Methodology 395
3 Results 396
3.1 Bibliometric Analysis 396
3.2 Content Analysis 398
4 Conclusion 401
Acknowledgements 402
References 402
AIDA 4.0: Architectures of Industry 4.0 Demonstrated Through Application Scenarios in Business Game 405
Abstract 405
1 Introduction 405
2 Theoretical Background 406
2.1 Impact of Business Games on Learning 406
2.2 Struggles to Find an Optimal Supply Chain Strategy in Times of Digitalization 407
2.3 Related Studies and Research Question 407
3 A Fictional Company “Bike Manufacturer” and AIDA 4.0 Game 408
4 Strategies for Digitalization and Operations Scheduling 408
4.1 Conventional Centralized Supply Chain with Predictive Scheduling 409
4.2 The Architecture of Partially Digitalized Supply Chain 410
4.3 The Architecture of Fully Digitalized Supply Chain – Reactive Scheduling 411
5 Conclusions 412
References 413
Machine Learning in Production Scheduling: An Overview of the Academic Literature 416
Abstract 416
1 Introduction 416
2 Research Methodology 417
3 Bibliometric Analysis of the Portfolio 418
4 Main Machine Learning Techniques Applied in Production Scheduling 422
5 Conclusion and Further Research 424
Acknowledgements 424
References 425
Software-Defined Mobile Supply Chains 427
Abstract 427
1 Introduction 427
2 Literature-Based Positioning of the Idea of SD-MSCs 428
3 Mobile Production Units 430
3.1 Oil Industry 430
3.2 High Sea Fishery 430
3.3 Perishable Goods 431
3.4 Blood Supply Chains 431
3.5 Advantages of Mobile Production Assets 431
4 From Mobile Assets to Software-Defined SCMs 431
4.1 Impacts on Supply Chain Planning and Decision Making 431
4.2 The Meaning of “Software Definition” 432
5 Outline of a Research Agenda for SD-MSCs 433
6 Conclusions and Future Work 435
Acknowledgement 436
References 436
Clustering for Monitoring Logistical Processes in General Cargo Warehouses 438
1 Introduction 438
2 Monitoring of Logistical Workflows in General Cargo Warehouses 439
2.1 Monitoring Processes in General Cargo Warehouses 439
3 Method 441
3.1 Monitoring of Logistical Processes 441
3.2 Database for Storing Time Series 441
3.3 Clustering 442
3.4 Experimental Structure and Procedure 442
4 Results 443
4.1 Experiment 1: DBSCAN, raw_data_2, 00:00–01:00 a.m. 443
4.2 Experiment 2: DBSCAN, raw_data_2, 01:00–02:00 a.m. 444
5 Discussion 444
6 Conclusions 446
References 446
Using RFID to Monitor the Curing of Aramid Fiber Reinforced Polymers 448
Abstract 448
1 Introduction 448
1.1 Motivation 448
1.2 State of the Art 449
1.3 Research Approach 450
2 Measurement Background 451
2.1 Dielectric Analysis (DEA) 451
2.2 Radio Frequency Identification (RFID) 451
3 Material 452
3.1 Integration of RFID Transponders Within Composites 452
3.2 Plasma Treatment of Polymer Films 453
4 Results of Fiber Composites Cure Monitoring 453
5 Further Research for Surface Treatment of Polymer Films 454
6 Conclusion 455
Acknowledgment 455
References 456
Handover Abilities in Reconfigurable Material Flow Systems for Topology Computing 458
1 Introduction 458
2 State of the Art Regarding Reconfiguration of MFSs 459
3 Introduction to an Agent-Based Control Concept and Its Drawbacks 460
3.1 Agent-Based Reconfiguration of Automated MFSs 461
3.2 Drawbacks of the Agent-Based Approach Regarding MFM Interfaces and Topology Detection 461
4 Agent-Based Control Enlarged with Handover Abilities 463
4.1 Neighborhood Topology Detection 463
4.2 Agent-Based Control Concept Including Handover Abilities 464
4.3 Evaluation of Enlarged Concept with Lab-Sized Demonstrator 464
5 Conclusion and Outlook 466
References 467
PalletAssist - Concept for a Multisensor-Based Assistance System for Safe Handling of Palletized Goods with Forklift Trucks 469
Abstract 469
1 Motivation 469
2 State of the Art 470
3 Concept of the Assistance System 471
3.1 Outline of the Initial Situation and Problem Situation 471
3.2 Requirements for the Assistance System 474
3.3 System Design 475
3.4 Software Modules 477
4 Conclusion and Outlook 480
Appendix A 481
References 482
An Edge Neural Cyber-Physical Production System: Products Monitoring Their Production Recommend Adaptations of Their Schedule 484
1 Introduction 484
2 An Edge Nerual Production Monitoring System 486
2.1 The Products' Digital Twins 486
2.2 The Neural Positioning Network 488
3 A Test in the GME's Production Process 491
4 Conclusion 495
References 496
Part VI: Human-Machine Interaction 498
Augmented Reality in the Packing Process: A Model for Analyzing Economic Efficiency 499
Abstract 499
1 Introduction 499
2 Methodology 501
3 Conclusion and Future Research 506
Appendix 1 507
References 508
Assessment of Cognitive Strain in Digital Logistics Work: Background, Analysis and Implications 510
Abstract 510
1 Introduction 510
2 Conceptual Framework Cognitive Ergonomics 511
3 Analytical Framework 513
4 Implications for Digital Logistics Work 515
5 Conclusion and Outlook 517
References 518
Human Factor in Forecasting and Behavioral Inventory Decisions: A System Dynamics Perspective 522
Abstract 522
1 Introduction 522
2 Literature Review 523
2.1 Demand Forecasting 523
2.2 Judgmental Forecasting 523
2.3 Inventory 524
2.4 Inventory Decisions 524
2.5 Effects on Forecasting Adjustment to Inventory Decisions 524
2.6 System Dynamics 524
3 Methodology 525
3.1 Research Question and Model 525
4 Simulation and Analysis of the Model 528
5 Evaluation 530
6 Conclusion 530
References 531
Improving Human-Machine Interaction with a Digital Twin 533
1 Introduction 533
2 Fundamentals 534
2.1 Levels of Autonomy 535
2.2 Adaptive Automation 535
2.3 Digital Twin 536
3 Container Unloading Systems – State of the Art 537
4 Adaptive Automation in Container-Unloading 539
5 Application 541
6 Results and Outlook 543
References 544
Requirements for an Incentive-Based Assistance System for Manual Assembly 547
Abstract 547
1 Introduction 547
2 Related Work on Assistance Systems and Incentive Systems 549
3 Assistance Systems Requirements in Manual Assembly 551
4 Requirements Impact Analysis Based on Assembly Process Modelling 552
5 Conclusion and Outlook 555
Acknowledgment 556
Appendix 557
References 558
Evaluation of Human-Computer-Interaction Design in Production and Logistics by Using Experimental Investigations 560
1 Introduction 560
2 User-Centered Evaluation of HCI Systems 562
3 Exemplary Use Cases of Human-Machine-Interaction Design and First Results of Evaluation Studies 564
3.1 Design of the User Interface in Cyber-Physical Production Systems 564
3.2 Design of AR Systems for Production Environments 566
3.3 Design of a Training Device for Collaboration Improvements 567
4 Conclusion 568
References 570
Author Index 573

Erscheint lt. Verlag 15.4.2020
Reihe/Serie Lecture Notes in Logistics
Lecture Notes in Logistics
Zusatzinfo XIII, 569 p. 185 illus., 117 illus. in color.
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Wirtschaft Betriebswirtschaft / Management Logistik / Produktion
Schlagworte cloud logistics • Collaborative Planning • Engineering Economics • Human-Machine Interaction • Mathematical Optimization • port management and ocean shipping • Production planning and control • robotics and cyber-physical-systems • sensor networks • Supply Chain Management
ISBN-10 3-030-44783-9 / 3030447839
ISBN-13 978-3-030-44783-0 / 9783030447830
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