Trends in Industrial Engineering Applications to Manufacturing Process

Preface
Acknowledgements
Contents
Editors and Contributors
List of Figures
List of Tables
Part I Supply Chain and Logistics
1 A Conceptual Framework of Green Supply Chain Management: Influential Factors, Green Practices, and Performance
	1.1 Introduction
	1.2 Research Methodology
		1.2.1 Bibliometric Analysis: GSCM Trends
	1.3 The Proposed Conceptual Framework
		1.3.1 Influential Factors
		1.3.2 GSCM Practices
		1.3.3 Sustainable Performance
	1.4 Conclusions
	References
2 Arcs of Integration: Methodological and Statistical Analysis
	2.1 Introduction
	2.2 Methodological Analysis of Arcs of Integration
		2.2.1 External Integration
		2.2.2 Internal Integration
	2.3 Statistical Analysis of the Methodology of Arcs of Integration
	2.4 Conclusions
	References
3 A Proposal to Redesign the Distribution Networks of Steel Manufacturing and Distribution Companies
	3.1 Introduction
	3.2 Literature Review
		3.2.1 Operations Research as a Tool for Improvement
		3.2.2 Machine Learning as a Tool for the Management of Data and Information
	3.3 Methodology and Methods
		3.3.1 The Model Formulation
		3.3.2 Define the Sets, Variables, and Parameters
		3.3.3 Formulate the Model
		3.3.4 Results
	3.4 Conclusions
	References
4 Layout Planning Approach at a Plumbing Department in a Manufacturing Industry: A Case Study
	4.1 Introduction
	4.2 Background
		4.2.1 Layout Planning
		4.2.2 Lean Manufacturing
		4.2.3 Kanban as a Visual Tool
		4.2.4 Kaizen as Continuous Improvement
		4.2.5 Systematic Layout Planning (SLP)
	4.3 Methodology
		4.3.1 Phase I: Localization
		4.3.2 Phase II. General Distribution Plan
		4.3.3 Phase III. Detailed Distribution Plan
		4.3.4 Phase IV. Installation
	4.4 Results
	4.5 Conclusions and Recommendations
	4.6 Discussion
	References
5 Improving Distribution Process Using Lean Manufacturing and Simulation: A Seafood Packer Company Case
	5.1 Introduction
		5.1.1 Context and Research Problem
	5.2 Materials and Methods
		5.2.1 Stage 1: Description of the Processes
		5.2.2 Stage 2: Develop and Analysis of Value Stream Mapping
		5.2.3 Stage 3: Solution Classification for the System
		5.2.4 Stage 4: Develop of Simulation Model
		5.2.5 Stage 5: Analysis of the Scenarios
		5.2.6 Stage 6: Implementation and Validation of the Improvement
	5.3 Results
		5.3.1 Stage 1: Description of the Process
		5.3.2 Stage 2: Develop and Analysis of Value Stream Mapping
		5.3.3 Stage 3: Solution Classification for the System
		5.3.4 Stage 4: Develop of the Simulation Model
		5.3.5 Stage 5: Simulation Model
		5.3.6 Stage 6: Analysis of the Scenarios
		5.3.7 Stage 7: Implementation and Validation of the Improvement
	5.4 Discussion
	5.5 Conclusions
	References
6 Effect of Advanced Manufacturing Technology on Responsive Supply Chain Strategy, Pull System and Responsiveness to Market
	6.1 Introduction
	6.2 Literature Review and Hypotheses
		6.2.1 Advanced Manufacturing Technology (AMT)
		6.2.2 Responsive Supply Chain Strategy (RSCS)
		6.2.3 Pull System (PS)
		6.2.4 Responsiveness to Market (RtM)
	6.3 Methodology
		6.3.1 Step 1. Survey Development
		6.3.2 Step 2. Administration of the Questionnaire
		6.3.3 Step 3. Data Screening
		6.3.4 Step 4. Validation of the Questionnaire
		6.3.5 Step 5. Structural Equation Model (SEM)
		6.3.6 Sensitivity Analysis
	6.4 Results
		6.4.1 Sasmple Desription
		6.4.2 Latent Variables Validation
		6.4.3 Structural Equation Modeling
		6.4.4 Sensitivity Analysis
	6.5 Conclusions and Industrial Implications
	References
7 Effect of Variability on the Optimal Flow of Goods in Supply Chains Using the Factory Physics Approach
	7.1 Introduction
	7.2 Literature Review and Concepts
		7.2.1 Minimum Cost Flow
		7.2.2 Queueing Concepts
		7.2.3 Flow in an Open Queueing Network
		7.2.4 Probability and Variability
		7.2.5 Approximation of Flow Variability in a Queueing Network
		7.2.6 Approximation of the Cycle Time
	7.3 Case Study: Analysis of the Supply Chain
		7.3.1 Modeling of the Solution as a Queueing System
		7.3.2 Analysis of the Flow in the Supply Chain Under the Effect of Variability
	7.4 Conclusions
	References
8 Mathematical Approach for Street Markets Location in Food Desert Regions: A Case Study in Valparaíso Chile Region
	8.1 Introduction
	8.2 Background
		8.2.1 Street Markets
		8.2.2 Facility Location Problem
	8.3 Proposal
		8.3.1 Problem Description
		8.3.2 Street Markets Facility Location MILP Model
	8.4 Case Study
		8.4.1 Data Collection and Preparation
	8.5 Results
	8.6 Conclusions and Future Work
	References
9 Optimization of Supply Management in a Fishing Sector Company
	9.1 Introduction
	9.2 Literature Review
	9.3 Methodology
		9.3.1 Step 1. Organizational Assessment
		9.3.2 Step 2. Critical Processes Identification
		9.3.3 Step 2. Elaborate the Functional Strategic Map
	9.4 Results
	9.5 Discussion
	9.6 Conclusions and Recommendations
	References
10 Decision Support Model for Solid Waste Management in a Closed-Loop Supply Chain
	10.1 Introduction
	10.2 Literature Review
		10.2.1 Solid Waste Management
		10.2.2 Reverse Supply Chain
		10.2.3 Closed-Loop Supply Chains
		10.2.4 Multi-criteria Techniques in Waste Management
	10.3 Methodology
	10.4 Results
		10.4.1 Criteria and Subcriteria
		10.4.2 Alternatives for Waste Management in a CLSC Glass Containers
		10.4.3 Hierarchical Structure for Decision in the Manufacturer Link
		10.4.4 Prioritization of Criteria and Subcriteria
		10.4.5 Alternative Preferences
		10.4.6 Sensitivity Analysis of the Decision-Making Model for the Manufacturer Link
	10.5 Conclusions
	References
Part II Manufacturing and Quality
11 Manufacturing Execution System State-Of-The-Art: Its Evolution and Dynamism Focused on Industry 4.0
	11.1 Introduction
	11.2 Methodology
	11.3 Literature Review
		11.3.1 Background of Manufacturing Execution Systems
		11.3.2 Manufacturing Execution Systems Evolution
		11.3.3 Manufacturing Execution Systems in the Normative Setting
		11.3.4 Manufacturing Execution Systems Taxonomy
		11.3.5 Manufacturing Execution Systems as a Quality Tool
		11.3.6 Manufacturing Execution Systems and Industry 4.0
	11.4 Conclusions and Industrial Implications
	References
12 Enablers and Barriers for a Quality Management System Implementation in Mexico: An Exploratory Analysis
	12.1 Introduction
		12.1.1 A Brief History of the International Standardization Organization and ISO 9001 Standard
	12.2 The ISO 9001 Standard
		12.2.1 History and Follow up of the ISO 9001 Standard
		12.2.2 Standardization Process of ISO 9001 Standard
		12.2.3 The ISO 9001:2015 Standard
		12.2.4 Structural Standards of the ISO 9000 Family
		12.2.5 Quality Standards Based on the ISO 9001 Standard
	12.3 Critical Success Factors for ISO 9001 Standard Implementation
	12.4 The ISO 9001 Standard Implementation in Mexican Companies
		12.4.1 Methodology
		12.4.2 Results
	12.5 Discussion
	12.6 Conclusions
	References
13 Gestation of the Genetics of a Company
	13.1 Introduction
		13.1.1 Genetic Information of an Organization
	13.2 The Purpose
	13.3 Mission
	13.4 Functions
	13.5 Policy
	13.6 Vision
	13.7 Culture
	13.8 Conclusions
	References
14 Work Engagement as Result of Leadership and Employer Branding: A Case of a Mexican Manufacturing Plant
	14.1 Introduction
	14.2 Literature Review and Hypotheses Statement
		14.2.1 Work Engagement
		14.2.2 Employer Branding
		14.2.3 Servant Leadership
	14.3 Methodology
		14.3.1 Sample
		14.3.2 Measures and Descriptive Analysis of the Items
	14.4 Results
		14.4.1 Validity of the Scales
		14.4.2 Structural Equation Modeling
		14.4.3 Corroboration of Hypothesis
	14.5 Conclusions and Practical Implications
	References
15 The DMAIC Methodology as a Tool for Process Improvement: The Case of a Mexican Manufacturing Company
	15.1 Introduction
	15.2 The DMAIC Methodology
		15.2.1 DMAIC Techniques and Tools
	15.3 Research Problem and Goal
	15.4 Methodology
		15.4.1 Phase 1. Define
		15.4.2 Phase 2. Measure
		15.4.3 Phase 3. Analyze
		15.4.4 Phase 4. Improve
		15.4.5 Phase 5. Control
	15.5 Results
		15.5.1 Phase 1 Results: Define
		15.5.2 Phase 2 Results: Measure
		15.5.3 Phase 3 Results: Analyze
		15.5.4 Phase 4 Results: Improve
		15.5.5 Phase 5 Results: Control
	15.6 Conclusions and Recommendations
	References
16 Adaptability of the Lean-Sigma Methodology for Operations in a Multicultural Workplace
	16.1 Introduction
	16.2 Project Preparation
		16.2.1 Set of Tools for the Case Study
		16.2.2 Adapting a Methodology
	16.3 Integration into a Lean-Sigma Project
		16.3.1 Using the Adopted Methodology in the Case Study
		16.3.2 Case Description
		16.3.3 Implementation Plan
		16.3.4 Identify and Measure the Problem Step
		16.3.5 Root Cause Analysis Step
		16.3.6 Develop a Solution Step
		16.3.7 Verify the Solution
		16.3.8 Control Plan
	16.4 Conclusions
	References
17 Using Simulation for Facility Layout Problems: A Case Study of an Ecuadorian Handcraft Chocolate Company
	17.1 Introduction
	17.2 Literature Review
		17.2.1 Facilities Planning Problems
		17.2.2 Workshop Characteristics Impacting Layout
		17.2.3 Material Handling System
		17.2.4 Resolution Approaches
	17.3 Methodology
		17.3.1 Define the Objectives and Scope of the Material Handling System
		17.3.2 Analyze the Requirements to Move, Store, Protect and Control Materials
		17.3.3 Generate Material Handling Design Alternatives that Meet the Process Requirements
		17.3.4 Evaluate Material Handling Design Alternatives
		17.3.5 Select the Most Convenient Design to Move, Store, Protect, and Control Materials
	17.4 Results
		17.4.1 Case Study
		17.4.2 Restrictions
		17.4.3 Objectives and Scope of the Material Handling System
		17.4.4 Requirements to Move, Store, Protect and Control Materials
		17.4.5 Generation of Design Alternatives
		17.4.6 Evaluation of Design Alternatives
		17.4.7 Select the Most Convenient Design
	17.5 Conclusions, Limitations and Recommendations
	Appendix 17.1: Chocolate Production Process Flowchart
	Appendix 17.2: Current Facility Layout
	Appendix 17.3: Available Space
	Appendix 17.4: Scenario No. 1 Flow Matrix
	Appendix 17.5: Scenario No. 2 Flow Matrix
	Appendix 17.6: Scenario No. 3 Flow Matrix
	Appendix 17.7: Equipment Capacity
	Appendix 17.8: Area Requirements for Each Scenario
	Appendix 17.9: AMPL IDE Solution for Scenario No. 1
	Appendix 17.10: AMPL IDE Solution for Scenario No. 2
	Appendix 17.11: AMPL IDE Solution for Scenario No. 3
	Appendix 17.12: Statistical Distribution for Each Production Process
	Appendix 17.13: Pilot Test Results
	Appendix 17.14: Power Curve
	Appendix 17.15: Simulation Results for Alternative 1
	Appendix 17.16: Simulation Results for Alternative 2
	Appendix 17.17: Cacao Company AutoCAD Layout
	Appendix 17.18: Cacao Company 3D Model Top View
	Appendix 17.19: Cacao Company 3D Model Side View
	References
18 A Framework for the Formulation of an Operations Strategy in Manufacturing Systems
	18.1 Introduction
	18.2 Proposed Framework
		18.2.1 Framework Description
		18.2.2 Framework Validation Strategy
	18.3 Results
		18.3.1 Strategy Formulation
		18.3.2 Framework Validation
	18.4 Discussion and Further Research
	18.5 Conclusions
	Appendix: Project Effects (Example with Two Projects)
	References
Part III Human Factors and Ergonomics
19 The Human Factor as a Central Element in the Design of the Workplace. A Systematic Review
	19.1 Introduction
	19.2 Literature Review
		19.2.1 Manufacturing Process and Workplace Design
		19.2.2 Effects of Workplace Design on Workers’ Well-Being
		19.2.3 Current Approaches to Workplace Design
	19.3 New Trends in Manufacturing Workplace Design
		19.3.1 Review Methodology
		19.3.2 New Trends
	19.4 Conclusion
		19.4.1 Discussion
		19.4.2 Conclusion
	References
20 Ergonomic Study of Construction Workers in Odisha (India): A Case Study in Construction Sites
	20.1 Introduction
	20.2 Literature Review
		20.2.1 Analytical Methods for Ergonomic Analysis
	20.3 Research Methodology
		20.3.1 Materials and Methods
		20.3.2 Ergonomic Risk Assessment
	20.4 Results
	20.5 Discussion
	20.6 Conclusions and Recommendations
	References
21 Are Productivity and Quality in Electronics Manufacturing Industry Affected by Human Factors? A Quantitative Analysis Using Statistical Tools
	21.1 Introduction
	21.2 Literature Review
		21.2.1 Human Error in Manufacturing
		21.2.2 Importance of Process Design in Productivity and Quality
		21.2.3 Automation and Process Design
		21.2.4 Work Design Through Socio-Technical Systems
	21.3 Methodology
		21.3.1 Stage 1: Analysis of Correlation Between the Level of Rejected Lots and Worker Seniority
		21.3.2 Stage 2: Identification of Psychological Profiles
		21.3.3 Stage 3: Design of Experiments
		21.3.4 Stage 4: Analysis of Case Study
		21.3.5 Stage 5: Proposals of Cognitive Ergonomics Approach
	21.4 Results and Discussion
		21.4.1 Analysis of Correlation Between the Level of Rejected Lots and Worker Seniority
		21.4.2 Identification of Psychological Profiles
		21.4.3 Design of Experiments Results
		21.4.4 Further Analysis of Human Factors
		21.4.5 Proposed Framework for Designing Work Methods that Incorporate the Human Factor
	21.5 Conclusions
		21.5.1 Key Points
	References
Index