Algorithms and Computational Techniques Applied to Industry: Book 1 Electronic Devices and Circuit Applications (Studies in Systems, Decision and Control, 435)

✍ Scribed by Jorge Luis García Alcaraz (editor), Arturo Realyvásquez Vargas (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 460
• Edition: 1st ed. 2022
• Category: Library

✦ Synopsis

This book presents algorithms and computational applications integrated in software that are being applied in the industry. It shows how companies using these tools are more competitive and efficient in the use and resources management. The book is organized in three sections, depending on the supply chain stage: procurement, including contact with costumers and product design; Production process, including relationship with suppliers and among departments; and Distribution, including logistics and transportation.

✦ Table of Contents

Preface
Acknowledgments
Contents
Editors and Contributors
List of Figures
List of Tables
Supply Chain and Provisions
Information Systems for Enterprise Resource Planning
1 Introduction
2 Methodology
3 Literature Review
3.1 Technological Issues and Background Information
3.2 Economic Benefits
3.3 ERP Systems Usability
3.4 ERP Applied to SME’s
3.5 ERP Applied to Education
3.6 Manufacturing and Productivity
3.7 Human Factors and ERP Integration
3.8 Applications and Case Studies
4 Case Study
5 Results
6 Conclusions
References
Geothermal Power Projects Valuation Model
1 Introduction
2 Literature Review
3 Methodology
3.1 Case Description
3.2 Financial Assessment
3.3 Decision Criteria and Risk Analysis
4 Results
4.1 NPV Analysis
4.2 LCOE Analysis
5 Conclusions
References
Design and Implementation of a Desktop Application for Consultation Centers for Staff, Information Regarding Training, Job Promotion and Transportation Routes, in an Automotive Electrical Harness Company
1 Introduction
2 Literature Review and Hypotheses Statement
2.1 Access 2007
2.2 Software Application
2.3 Hypotheses
3 Methodology
3.1 Definition of the Problem
3.2 Project Definition
3.3 V-Shaped Software Development Model
3.4 Software Architecture
4 Results
4.1 Logic View
4.2 Deployment View
4.3 Process View
4.4 Physical View
4.5 “+1” Scenario View
5 Conclusions and Industrial Implications
References
Digital Evolution in Supply Chain Management with Industry 4.0
1 Introduction
2 Conceptual Framework of the Supply Chain
3 Synchronization of the Digital Supply Network
3.1 The Smart Factory
3.2 Integration to Improve Efficiency
4 Digital Transformation Applied in Supply Chains
4.1 Changes in the Supply Chain
5 Applications of Artificial Intelligence in Supply Chain Logistics
6 Computational Techniques Applied in Industry 4.0
6.1 Applied Computational Techniques
6.2 Beyond Computational Techniques
7 Software Applied to Industry 4.0
8 Best Practices in the Supply Chain, New Digital Technologies and Software Used
9 Case Study
10 Conclusions
References
Farm Based Discomfort and Perceived Mental Stress Among Farmers
1 Introduction
2 Methodology
2.1 NIOSH Lifting Equation
2.2 Perceived Stress Questionnaire (PSQ)
2.3 ANFIS Model
3 Results and Discussion
3.1 Results of the NIOSH Lifting Equation
3.2 Perceived Stress Questionnaire (PSQ)
3.3 Results of the ANFIS Model
4 Conclusions
Appendix A
References
The Importance of Demand Management in the Just-in-Time Strategy for Mexican Maquiladora Companies
1 Introduction
2 Literature Review and Hypothesis
2.1 Demand Management
2.2 Kanban
2.3 One Piece Flow
2.4 Just in Time
3 Methodology
3.1 Questionnaire Design
3.2 Sample
3.3 Data Collection
3.4 Debugging of Information
3.5 Descriptive Analysis of the Sample and the Items
3.6 Validation of Information
3.7 Structural Equation Modeling
3.8 Sensitivity Analysis
4 Results
4.1 Final Questionnaire
4.2 Description of the Sample
4.3 Statistical Validation of the Information
4.4 Description of Items
4.5 Structural Equation Modeling
4.6 Sensitivity and Conditional Probability Analysis
5 Conclusions and Industrial Implications
5.1 Conclusions from the Structural Equation Model
5.2 Conclusions from the Sensitivity Analysis
References
Production Processes
The Use of Quantum Computing with 3D Modeling in the Industrial Sector
1 Introduction
2 Project Problem Definition
2.1 Knowledge Transfer in the Supply Chain
2.2 Justification
3 State of the Art
3.1 Theoretical-Conceptual Framework
3.2 Universal Quantum Computer
3.3 Complex Systems with Computer Modeling
3.4 Software with Computer Modeling
4 Methodology
4.1 Methodology for Making a Diagnosis
4.2 Methodological Approach
4.3 Microsoft Quantum Development Kit: Getting Started
5 Conclusions and Industrial Implications
References
Unemployment in the Industry with the Arrival of Robotics in Mexico
1 Introduction
2 Problem Statement
2.1 Project Problem
2.2 Justification
3 State of the Art
3.1 Software in Robotics
3.2 Simulators
3.3 Middleware
3.4 Planning of Mobile Robots
3.5 Real-Time Route Planning
3.6 UAV Control (Drone)
3.7 Artificial Intelligence for Robots
4 Methodology
5 Results and Analysis
6 Conclusions and Industrial Implications
References
Human Decision-Making Evaluation: From Classical Methods to Neurocomputational Models
1 Introduction
1.1 Decision-Making and Ergonomics
2 Decision-Making in Humans
2.1 Social Decision Making
2.2 Decision-Making Style and Competence
3 Decision-Making Based on Neurocognitive Models
3.1 Risk Tasks
3.2 Ambiguity Tasks
4 Practical Implications and Strategies to Implement These Measures
5 Conclusion
References
The Augmented Reality Technology. An Experimental Application in the Educational and Industrial Sector of Baja California, Mexico
1 Introduction
1.1 Importance of ICT in the Educational Sector
1.2 Educational Institutions with Poor ICT
1.3 Differences Between Virtual Reality and Augmented Re-Ality
1.4 ART: General Knowledge
1.5 Characteristics of the Augmented Reality Technology
1.6 History of the ART
1.7 The ART in Educational Activities
1.8 Unit-Vuforia Software
1.9 Unity Tool
1.10 The ART Using the Unity
1.11 Programming Application of Unity-Vuforia
1.12 Application of ART in Marketing Activities
1.13 The ART in the Industry
1.14 Electronic Industry
1.15 Evaluation of ART Using Mobile Devices
1.16 Educative Model Using the ART
1.17 Approach to Problem-Based Learning in Development
1.18 Software Requirements to Apply ART
1.19 Hardware Requirements to Apply ART
1.20 Cultural Aspects
2 Methodology
3 Results
3.1 Analysis of Scholar Yielding
3.2 The ART Applications in Scholar Activities
3.3 Development of the Educational Model with ART
3.4 Applying the ART in Educational Activities
3.5 Development Environments
3.6 Pattern Images as Bookmarkers
4 Unity-Android Platform
4.1 Program Used in the Scholar Activity with 2MobAppRA2D
4.2 Analysis of Numerical Data
4.3 ART Evaluation in the Industry
5 Conclusions
References
Lean Automation Case Study: Down-Time Reduction in a Paper Unwinding Machine
1 Introduction
2 Unwinder
3 Methodology
3.1 Materials
4 System Integration
4.1 Unwinding Area Operating Stations
4.2 Gyro Sensor
4.3 Servo Valve
4.4 Electrical and Pneumatic Connections
4.5 Cutting Press Sensor
4.6 Automatic and Manual Control
4.7 PLC Hardware and Software
4.8 Algorithm
4.9 Developed Software
5 Results
6 Conclusions
References
Development, Testing, and Simulation of Antifungal Polyurethane Insoles for Footwear
1 Introduction
2 Characteristics of the Product to Be Designed
3 Polyurethane Insole Manufacturing Process
4 Technical Characteristics in the PU Insole
5 Literature Review on FEA Insole Modeling
6 Methodology
6.1 Modeling the Insole in 2D
6.2 Insole Scanning and Node Tracing
6.3 Physical Foot Pressure Tests
6.4 Creation of 3D Models
6.5 Mesh Generation and Definition of Parameters in the Material
7 Results
8 Discussion and Conclusions
References
The Technological Adaptation of SMES Through Fuzzy Cognitive Maps
1 Introduction
2 Background
2.1 Main Focus of the Chapter
2.2 General Objective
3 Methodology
3.1 Problematic
3.2 Fuzzy Algorithm
3.3 Computer Simulator
3.4 Fuzzy Cognitive Map and Knowledge Matrix
3.5 Input Variables
3.6 Hypothesis
4 Discussion
5 Conclusions
References
Distribution and Commercialization
A New Distribution Strategy for Psychotropic and Cold Chain Products in a Pharmaceutical Company
1 Introduction
2 Literature Review
2.1 A Mathematical Programming Language—AMPL
3 Methodology
3.1 Description of the Model
4 Application
4.1 Stage 1
4.2 Stage 2
5 Conclusions
6 Limitations and Future Studies
References
Inventory Management Optimization of a Container Glass Products Manufacturer
1 Introduction
2 Methodology
2.1 Phase 1—Strategic Planning
2.2 Phase 2—Process Analysis
2.3 Phase 3—Improvement Proposal
3 Results
3.1 Economic Evaluation
4 Conclusions
5 Recommendations
References
Distribution Network Optimization in the Peruvian Agro-Industrial Sector
1 Introduction
2 Case Study: Analysis
2.1 General Analysis
2.2 Supply Chain Analysis
3 Identification of the Problem
3.1 Criteria for Evaluating Supply Chain Processes
4 Methodology
5 Results
5.1 Route Description
6 Proposed Solution
6.1 Gravity Center
6.2 Mixed Integer Linear Programming Model
6.3 Optimization Model
6.4 Construction of the Mathematical Model
7 Mathematical Model Results
7.1 Financial Evaluation
8 Conclusions and Recommendations
8.1 Conclusions
8.2 Recommendations
References
Product and Content Management Through QR Codes as an Efficient Strategy in E-commerce
1 Introduction
2 Background and Types of E-commerce
3 Traditional Approach to E-commerce
3.1 Issues, Controversies, Problems
4 Solutions and Recommendations
4.1 Hardware Requirements
4.2 System Architecture
5 Design and Construction of QR Codes
5.1 QR Code
5.2 Marker
6 Future Directions of Research
7 Conclusions
References
System Dynamics and Graphical Interface for the Supply Process: A Case Study in a Regional Food Packing Company in Mexico
1 Introduction
2 Literature Review
3 Materials and Procedure
3.1 Materials
3.2 Procedure
4 Results
4.1 Causal Diagram and Dynamic Assumptions
4.2 Flow and Level Diagram
4.3 Validation Through Consistency and Extreme Value Testing of the Model
4.4 Simulation of Scenarios
4.5 Graphical Interface Development
5 Conclusions and Recommendations
6 Future Work
References
Analyzing Supply Quality Improvements in ETO Companies That Switch to Mass Customization via AI Techniques
1 Introduction
1.1 Mass Customisation and Engineering-To-Order
1.2 Early Purchasing Involvement (EPI)
2 Material and Methods
2.1 Business Understanding
2.2 Data Understanding
2.3 Data Preparation
2.4 Modelling
2.5 Evaluation
3 Results and Discussion
3.1 Reduction of Stocks
3.2 Organisation of the Purchasing Department
3.3 Early Purchasing Involvement (EPI): Advanced Purchasing
4 Conclusions and Future Research
References