Intelligent Engineering and Management for Industry 4.0

✍ Scribed by Yong-Hong Kuo, Yelin Fu, Peng-Chu Chen, Calvin Ka-lun Or, George G. Huang, Junwei Wang

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 186
• Category: Library

✦ Synopsis

Industry 4.0 is changing how we manage operations to drive systems more intelligently. Technologies and applications are rapidly evolving. Disruptive technologies, such as artificial intelligence, big data, cloud computing and digital twin, are shaking up different industries and have motivated us to revisit engineering and management tools for improving system design, efficiency, effectiveness, reliability, and responsiveness. While these emerging technologies have powered new applications, novel industrial engineering methodologies are required to achieve the goals.

Industrial Engineering was sprouted from major engineering disciplines that called for better professional understanding of industrialization. Ever since, the discipline of Industrial Engineering has been the star role player in confronting emerging industries; be it manufacturing, service, high tech products, outer space technology, information technology, industrial policy, ergonomics, and now the world’s greatest concern, sustainable development.

This book presents the state-of-the-art in industrial engineering research from different countries and cities around the globe. The book covers a wide range of topics in industrial engineering, including: Demand Chain Management, E-business / Information Technology, Evolutionary Algorithm, Green Manufacturing/Management, Health Care Systems and more.

✦ Table of Contents

Preface
Contents
A Batch Scheduling Model for a Three-Stage Flowshop with Batch Processor and Heterogeneous Job Processor to Minimize Total Actual Flowtime
1 Introduction
2 Problem Statement
3 Actual Flowtime
4 Model Development and Proposed Algorithm
4.1 Model Development
4.2 Proposed Algorithm
4.2.1 TSF Algorithm
4.2.2 HMS Algorithm
5 Illustrative Example
6 Concluding Remark
References
Batch Scheduling of Unique and Common Components for a Three-Stage Hybrid Flow Shop Processing Different Product Types with Multiple Due Dates to Minimize Total Actual Flow Time
1 Introduction
2 Problem Description
3 Formulation
4 Algorithm
5 Illustrative Example
6 Conclusion
References
Interactive Scheduling for a Dual Resource Constrained Job Shop with Manual and Automated Work Units
1 Introduction
2 Production Environment
2.1 Two Types of Work Units
2.2 Dual Resource Constrained Scheduling
2.3 Scheduled Maintenance
3 Interactive Scheduling Support System
3.1 Completion Time Calculation
3.2 Developed System
3.3 Remaining Issues
4 Conclusion
References
Big Data-Based Similarity Network Model for Cloud Manufacturing Services
1 Introduction
2 Preliminary
3 Invocation History-Based Service Similarity Evaluation
4 Service Similarity Network Model
4.1 Modeling of Service Similarity Network
4.2 Service Importance Evaluation
5 Case Study
6 Conclusion
A.1 Electronic Supplementary Material
References
Evaluation Methods for the Reliability of a Linear Connected-(1,2)-or-(2,1)-Out-of-(m,n):F Lattice System
1 Introduction
2 Efficiency Comparison of the Recursive Equation Approach and the FMCIA
2.1 Notation
2.2 Recursive Equation Approach Yamamoto2008
2.3 FMCIA Nakamura2017a
2.4 Efficiency Comparison
3 Bounds for the Reliability of a Lin/(1,2)-or-(2,1)/(m,n):F System
3.1 Derivation of Upper and Lower Bounds
3.2 Numerical Experiment
4 Conclusions
References
Exact Solution Method for Balancing of a Self-Balancing Production Line with Worker- and Station-Dependent Speed
1 Introduction
2 The Production Line
2.1 Assumptions
2.2 Self-Balancing and Convergence
2.3 Problem Description
3 Exact Solution Method for Balancing a Line with Worker- and Station-Dependent Speed
4 Numerical Calculations
4.1 Two Workers
4.2 Three Workers
5 Conclusion and Remarks
References
A Novel Bi-Encoded NSGA-II for A DRC Scheduling Problem to Minimize the Makespan and Unbalanced Workload
1 Introduction
2 Problem Formulation
3 The Metaheuristics
3.1 The Proposed Encoding and Decoding Schemes
3.2 General Setting for NSGA-II and BNSGA-II
3.3 Comparison Metrics
4 Numerical Examples and Results
4.1 Parameter Setting for the Metaheuristics
4.2 Computational Results and Discussion
5 Conclusions
References
A Study on Optimal Limit Order Strategy Using Multi-Period Stochastic Programming Considering Nonexecution Risk
1 Introduction
2 Market Impact
2.1 Estimation Model
2.2 Data
2.3 Result of Estimation
3 Estimation Model for Fill Rate
4 Optimal Execution Model
5 Numerical Analysis
5.1 Basic Analysis
5.2 Examining Nonexecution Risk
5.3 MI of Limit Order
5.4 Reorder Strategy
5.5 Market Order Strategy
6 Conclusion
References
Banking the Unbanked: The Fintech Revolution
1 Introduction
2 Literature Review
3 Industry 4.0: India's Next Frontier of Digitally Enabled Financial Inclusion
4 Research Methodology
4.1 Data
4.2 Method
5 Analysis
6 Discussion
7 Conclusion
Appendix: List of Abbreviations Used
Adaptive Intelligent Redeployment Strategy for Service Parts Inventory Management: A Case Study of a High-Tech Company
Introduction
Literature Review
Multistage Service Parts Inventory Management System
Representation of Service Parts Inventory Management System
Control of Excess Inventory Redeployment
Integrated Solution to Handle Excess Inventory
An Illustrative Example in a Case Study
Result of Redeployment Strategy
Effect of Shipment Cost and Part Cost
Discussion
Conclusion and Future Research
Rehabilitation Staff Scheduling Problem Considering Mental Workloadin Elderly Daytime Care Facility
Introduction
Methodology
Notation and Assumptions
Formulation
Facility Survey
Overview of the Surveyed Service Facility
Survey Method of Mental Workload of Staff
Results of the Mental Workload Survey
Analysis of Current Schedule
Numerical Experiment
Assumptions of a Numerical Experiment
Balanced Schedule for Mental Workloads
Current Schedule in the Facility
Balanced Schedule for Physical Workloads
Discussion
Conclusions
Knowledge Management and Open Innovation for Improving SocialPerformance of Small and Medium Industry: A Pilot Study
Introduction
Literature Review
Knowledge Management and Open Innovation
Open Innovation and Social Performance
Knowledge Management, Open Innovation, and Social Performance
Methodology
Conceptual Model and Hypotheses
Knowledge Management
Open Innovation
Social Performance
Hypotheses
Results and Discussion
Conclusion
A Design Method of the Joint Venture Formation in EPC Projects
Introduction
Related Work
Design of Joint Venture Formation
Design Method
Mathematical Model
Simulation Model for Evaluating Joint Venture Formation
Effectiveness of Joint Venture Formation
Problem Setting
Results of Calculation
Conclusions
The Importance of Information Sharing in Blanket Order: Case Studiesof System Dynamics Simulation
Introduction
Literature Survey
System Dynamics
System Dynamic Simulation
Stock and Flow Diagram
System Dynamics Simulation of Supply Chain
Methods
Results and Discussion
Case Study of Sister Company
Current System of Sister Company
Alternative Improvement Model
Performance Comparison of Case Study 1
Case Study of Brokerage
Current System of Brokerage
Alternative Improvement
Performance Comparison of Case Study 2
Managerial Implications
Conclusions
Multi-objective Robust Optimization for the Design of Biomass Co-firingNetworks
Introduction
Literature Review
Model Formulation
Computational Experiments
Conclusions and Recommendations
Appendix 1: Biomass Data
Appendix 2: Co-firing Scheme Parameters
Appendix 3: Power Plant Data
Appendix 4: Biochar Sink Data
Appendix 5: Other Relevant Parameters
Co-evolution Theory-Based Collaborative Conceptual-EmbodimentCAD System
Introduction
Literature Research
Collaborative CAD System
Conceptual CAD System
Creative and Cognitive CAD System
Co-Evolution Design Theory
Collaborative Conceptual-Embodiment Design CAD System
Components of the CAD System
Discussion
Index