Proceeding of the 7th International Conference on Logistics Operations Management, GOL'24: Smart Sustainable and Green Logistics, Volume 2 1105

This book presents the advances in the concept, model, method, and tools for the global supply chain management. The conference took place in Marrakesh from May 2 to May 4, 2024. The 7th edition of this conference focused on Smart Sustainable and Green Logistics. The papers included in the book's proceedings cover various themes, such as: . Metaheuristics for industry 4.0 . Multi-agent systems for solving combinatorial optimization problems . Sustainability in supply chain management: a paradigm for global transformation . Sustainable and agile supply chain management . Sustainable and smart management of water resources: innovative optimization . Artificial intelligence and emerging technologies: advancements and applications . Artificial intelligence techniques and statistical modeling for mobility and urban logistics planning . Smart and green process in transport and logistics . Viability of logistics networks, structural dynamics and recovery strategy—low certainty context . Modeling, simulation and optimization . Planning and scheduling . Decision support systems . Risk management . Project management . Information systems integration . Supply chain design and control . Models and algorithms for electric mobility Contents Decision Support Systems A Decision Making Approach for Implementing Blockchain Technology in Africa 1 Introduction 2 Literature Review 3 Research Methodology 4 VIKOR Empirical Study to Evaluate BT for African Agriculture 4.1 Collecting Data and Choosing Experts 4.2 Implementation and Results 5 Implications for Researchers and Decision-Makers 6 Conclusion References Application of Lean Six Sigma for Maintenance: Case Study 1 Introduction 2 Research Review 3 Research Methodology 3.1 Define 3.2 Measure 3.3 Analyse 3.4 Improve 3.5 Control 4 Results and Discussions 4.1 Define 4.2 Measure 4.3 Analyse 4.4 Improve 4.5 Control 5 Conclusion References Application of AHP and K-Means Clustering for Assessing Digital Maturity of Companies 1 Introduction 2 Digital Maturity Assessment Model: Systematic Review 2.1 Material Collection 2.2 Material Evaluation 3 Digital Maturity Assessment Model Using the AHP and K-Means Methods 3.1 Model for Assessing the Digital Maturity of Companies Based on the K-Means Clustering 4 Conclusion References Decision Aid on Blockchain Project: A Cost and Time Management Tool 1 Introduction 2 Related Work on Blockchain in Supply Chains 3 Methodology for Performance Evaluation and Decision Aid Tool for a Blockchain Project 3.1 The Costs 3.2 The Deadlines 3.3 Application 4 Discussion 5 Conclusion References Exploring Critical Success Factors in the Adoption of Industry 4.0 by Using DEMATEL Technique 1 Introduction 2 Material and Methods 2.1 Critical Success Factors 2.2 DEMATEL Technique 3 Results 4 Discussion and Conclusion References Metaheuristics for Industry 4.0 An Efficient Heuristic to Optimize the Cost of Scheduling Production Tasks on Non-identical Parallel Production Lines 1 Introduction 2 Literature Review 3 Description of the Scheduling Problem 4 The Proposed Approach 4.1 Notation and Assumptions 4.2 Description of the Approach 4.3 The Algorithm of This Approach 5 Experimental Results 6 Conclusion References Exploring the Capacitated Vehicle Routing Problem Using the Power of Machine Learning: A Literature Review 1 Introduction 2 Quantitative Trend Analysis of MH-ML Based Methods for CVRP 2.1 Quantitative Analysis Methodology 2.2 Overview of CVRP Researches 2.3 Overview of Practical CVRP Applications 3 Qualitative Analysis of MH-ML Based Approaches for CVRP 3.1 Optimization Approaches: Metaheuristics 3.2 Principal ML Approaches and Their Role in CVRP Resolution 3.3 Overview of Combined MH and RL Approaches for CVRP 4 Discussion and Conclusion References Flexible Job-Shop Problem with Predictive Maintenance Planning Using Genetic Algorithm 1 Introduction 2 Literature Review 3 Dynamic Scheduling Model with Prognostics and Health Management Integration 3.1 Dynamic Scheduling Process 3.2 Genetic Algorithm for Job-Shop Scheduling Problem With Progressive Failures 3.3 Coding 3.4 Initial Population 3.5 Fitness Calculation 3.6 Parent Selection 3.7 Offspring 4 Numerical Experiment 5 Conclusion and Perspectives References Solving Multi-capacitated Facility Location Problem in Traffic Control Systems Using Lagrangian Relaxation and Decomposition Approach 1 Introduction 2 Mathematical Formulation 3 Resolution Method 4 LRD Implementation 4.1 Sub-gradient Method 4.2 Lagrange Heuristic 5 Computational Results 6 Conclusion References Modelling, Simulation and Optimization Benchmark Mobility Problems Using Real-World Data: The Example of Bus Stops Spacing Problem for the City of Calais 1 Introduction 2 Related Works 2.1 Real-World Based Simulation 2.2 Bus Stops Spacing Problem 3 Bus Stop Spacing Problem Model 4 Experimental Setup 5 Conclusion and Future Work References Improvement of an Oil Port’s Performance Using a Discrete Event Simulation Approach 1 Introduction 2 Literature Review 3 Port Infrastructure, Oil Terminal Operations and Allocation Rules 4 DES Approach 4.1 Model Parameters 4.2 Simulation Model Development 4.3 Model Validation 5 Strategic Decisions 5.1 Impacts of Infrastructure Improvements 5.2 Simulation-Based Optimization of Unloading Throughput 6 Conclusion References Simulation Optimization Coupling for Intermodal Barge Operations Planning 1 Introduction 2 Literature Review 3 Case Study: The Multimodal Terminal of Le Havre Port 4 Multi-agents Based Optimization Approach 4.1 Simulation Model 4.2 Optimization Model 5 Implementation and Results 5.1 Implementation 5.2 Results 6 Conclusions References The Role of Simulation in the Context of Industry 4.0 in Building Evacuation 1 Introduction 2 Industry 4.0 3 The Role of Simulation in the Context of Industry 4.0 4 The Importance of Simulation in the Evacuation of Buildings 5 Conclusions and Future Research Work References Toward Fair Ride Sharing Platforms: The Role of Regulations and Wait Time 1 Introduction 2 Literature Review 3 Problem Description 4 Numerical Results 4.1 Effect of Minimum Hourly Wages of Driver (w) and Waiting Time (tw) on Passengers' Fare per Trip (pf) 4.2 Effect of Minimum Hourly Wages of Driver (w) and Waiting Time (tw) on Driver's Wage per Trip (pd) 4.3 Effect of Minimum Hourly Wages of Driver (w) and Waiting Time (tw) on Platform's Profit 5 Conclusion and Managerial Insights References Multi-agent Systems for Solving Combinatorial Optimization Problems Agent-Based Modeling and Simulation for Urban Air Quality Assessment 1 Introduction 2 Related Work 3 Methodology 3.1 Eqasim Pipeline 3.2 Emission Modeling 4 Results of the Pilot Study 4.1 Study Area 4.2 Results from the Simulation 5 Conclusion References An Innovative Q-Learning and ACO Approaches for the Traveling Salesman Problem 1 Introduction 2 Q-Learning and ACO for TSP 2.1 Reinforcement Learning (RL) 2.2 Ant Colony Optimization Algorithms (ACO) 3 Our Approach 3.1 Q-Learning for TSP Based on Minimization of Intersections 3.2 ACO for TSP Based on Minimization of Intersections 4 Experimental, Results and Discussion 4.1 Test Instances 4.2 Parameters Settings 4.3 Numerical Results and Discussion 5 Conclusion References Optimizing the Flow of Connected Distribution Logistics 1 Introduction 2 Literature Review 2.1 The Distribution Supply Chain 2.2 The Challenges of the Distribution SC 2.3 Distribution Issues 2.4 The Impact of Industry 4.0 on Connected Distribution 3 Methodology 3.1 Modeling the Distribution Supply Chain 3.2 Optimization Problems in Distribution Supply Chain 4 Conclusion and Perspectives References Operational Research A Genetic Algorithm for Synchromodal Transportation Problem 1 Introduction 2 Literature Review 3 Problem Statement and Mathematical Model 4 Genetic Algorithm for Synchromodal Transportation 4.1 Chromosome Encoding 4.2 Initial Population 4.3 Fitness Evaluation 4.4 Genetic Operator: Crossover 4.5 Genetic Operator: Mutation 4.6 Taguchi Parameter Tuning 5 Experimental Results 6 Conclusion References A Lower Bound for a JRP Obsolescence Model 1 Introduction 2 A JRP Obsolescence Total Discounted Cost Model 3 Optimization of the Objective Function 4 Lower Bound 5 Discussion and Numerical Results 6 Conclusions References A Multi-objective Ant Colony System Method for a Robust Selective Full Truckload Vehicle Routing Problem 1 Introduction 2 Problem Definition 3 Multi-objective ACS for the RFTSMDVRPTW 3.1 Solution Coding 3.2 Route Construction 3.3 Pheromone Updating 4 Computational Results 5 Conclusion References Assessing the Efficacy of Genetic Algorithm-Based Heuristics in Optimizing Working Capital Through Flexible Cash Receipt Scheduling 1 Introduction 2 Literature Review 3 Problem’s Statement and Modeling 4 Results and Discussion 5 Conclusion References Truck Appointment System 1 Context 2 Data 3 Formulation 4 Results 5 Concluding Remarks References Planning and Scheduling Industrial Constraints of Production Planning: A Case Study in the Automotive Industry 1 Introduction 2 The Production Planning Problem 3 Mathematical Formulation 4 Case Study: A Comparative Study in a Manufacturing Facility at Renault 4.1 Comparative Study: Results and Analysis 5 Conclusion and Future Work References Planning and Scheduling of Robotic Welding Processes in the Rolling Stock Industry: A Literature Review 1 Introduction 2 Methodology 3 Results 3.1 Findings on (Q1): What Methods are Used to Plan Operations for Robotic Processes in General? 3.2 Findings on (Q2): Which Welding Techniques Commonly Employ Welding Robots? 3.3 Findings on (Q3): What Models and Methods Have Been Developed to Plan Operations for RWPs? 3.4 Findings on (Q4): What Indicators Are Used to Measure the Efficiency of RWPs? 3.5 Findings on (Q5): What Are the Main Factors, Barriers, and Challenges Affecting RWPs in the Rolling Stock Industry? 4 A Theoretical Framework 5 Conclusion References Solver Based Heuristics for Rolling Stocks Corrective Maintenance Scheduling 1 Introduction 2 Problem Definition and Associated Models 2.1 Problem Definition 2.2 A Mixed Integer Linear Programming Model 2.3 A Constraint Programming Model 3 Heuristics 3.1 Finding an Initial Solution 3.2 Local Branching 3.3 VPLS Algorithm 4 Experiments 4.1 Exact Models Comparison 4.2 Evaluation of the Heuristics 5 Conclusion References Simultaneous Scheduling of Production and Maintenance in a Flexible Job-Shop Workshop 1 Introduction 2 State of the Art 3 Problem Formulation 3.1 Notations 3.2 Modelling 4 Experiments and Results 4.1 Illustrative Example 4.2 Implementation Details 4.3 Data Generation 4.4 Results 5 Conclusion References Worker Job Rotation Optimization Model to Minimize Exposure to Hand-Arm Vibration 1 Introduction 2 Hand-Arm Vibration 3 Optimization Model Formulation 3.1 Sets 3.2 Parameters 3.3 Decision Variables 3.4 MILP Model 4 Case Study 5 Solving Optimizing Problem and Sample Results 6 Conclusions References Smart and Green Process in Transport and Logistics Applications of Blockchain Technology in International Trade and Supply Chain Management: A Systematic Literature Review 1 Introduction 2 Methodology 2.1 Systematic Literature Review Process 2.2 Research Question and Objectives 2.3 Inclusion and Exclusion Criteria 2.4 Search Strategy and Databases Used 3 Overview of Survey Results 4 Findings and Discussion 5 Conclusion and Recommendations References Electric Vehicle Issues, Challenges and Technological Solutions: A Systematic Review 1 Introduction 2 Methodology 3 Bibliometric Analysis and Classification 4 Overview of EV Issues from the Literature 4.1 EV Battery Characteristics 4.2 Charging Technologies 4.3 Powertrain Technology 4.4 Energy Consumption Estimation Models 4.5 Electric Vehicle Routing Problem EVRP 5 Conclusion References GRASP Algorithm for the Green Capacitated Vehicle Routing Problem (GCVRP) 1 Introduction 2 GRASP for VRP – Brief Literature Review 3 CO2 Emissions Estimation 4 GCVRP Formulation 5 GRASP Algorithm 5.1 Construction 5.2 The Local Search 6 Pareto Rank of Partial Solutions 7 Results 8 Choosing Better Solutions from Pareto Front 9 Conclusion References Solving Industrial Production Scheduling Challenges in the Era of Industry 4.0 and Green Manufacturing 1 Introduction 2 Scheduling Problems in Industry 4.0 and Green Manufacturing 3 Literature Review Methodology 4 Discussion on Findings 5 Future Directions 6 Conclusion References Solving the Electric Vehicle Routing Problem in Short Food Supply Chains: A Constrained Clustering Approach 1 Introduction 2 Literature Review 3 Problem Description 4 Simulation and Results 5 Conclusion and Future Work References The Dynamic Vehicle Routing Problem with Simultaneous Delivery and Pickup, Overtime and Inventory Restriction: Comparative Study of Three Resolution Methods 1 Introduction 2 Problem Description and Mathematical Modeling 2.1 Notation 2.2 Objective Function 2.3 Constraints 3 Resolution Methods 3.1 Heuristic Founded on a Repetitive Exact Method (HREM) 3.2 Memetic Algorithm (MA) 3.3 Golden Ball Algorithm (GBA) 4 Numerical Results 5 Conclusion References Author Index