Ensuring Sustainability: New Challenges for Organizational Engineering (Lecture Notes in Management and Industrial Engineering)

✍ Scribed by Carmen Avilés-Palacios (editor), Miguel Gutierrez (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 337
• Category: Library

✦ Synopsis

This book presents a selection of the best papers given at the XXIV International Conference on Industrial Engineering and Industrial Management. The conference is promoted by ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización) and organized by the Universidad Politécnica de Madrid and the Universidad Carlos III de Madrid. It took place at the Universidad Carlos III de Madrid (Leganés, Spain) in July 2020.

Ensuring Sustainability embodies the latest advances in research and cutting-edge analyses of real case studies in industrial engineering and operations management from diverse international contexts. It also identifies business applications for the latest findings and innovations in operations management and the decision sciences.

✦ Table of Contents

Preface
Contents
Part I Sustainability and Circular Economy
1 Users or Taxpayers? Drafting a Pay-As-You-Throw Programme for Madrid’s Districts
1.1 Introduction
1.2 Background and Methodology
1.3 Literature Review and Benchmarking
1.4 Madrid Implementation Proposal
1.5 Survey Results
1.6 Conclusions
References
2 Circular Economy Analysis Applying Ellen MacArthur Model: Spanish Glass Sector Case
2.1 Introduction
2.2 A Reference Circular Economy Model
2.3 Objective and Study Methodology
2.4 Circular Economy in Spanish Glass Sector. Case Study
2.4.1 Circular Economy at the Sector
2.4.2 Circular Economy Model (EMF) Applied to Glass Sector
2.5 Conclusions
References
3 Innovation in a Company Committed to Sustainability Culture
3.1 Introduction
3.1.1 Circular Economy and Innovation
3.1.2 The Role of the Small and Medium Enterprises (SMEs)
3.1.3 Sustainability Culture
3.2 Methodology
3.3 Results
3.3.1 Manufacturing Processes
3.3.2 Projects
3.4 Conclusions
References
4 Supply Chain 4.0 to Enhance Circular Economy
4.1 Introduction
4.2 Review Methodology
4.3 Literature Review
4.3.1 Objectives and the Application Context
4.3.2 Research Methodology and Methods
4.3.3 Benefits
4.3.4 Limitations and Critical Points
4.4 Discussion and Conclusions
References
Part II Supply Chain Management
5 Conceptual Framework of Supply Chain Competition Based on a System of Systems Approach
5.1 Introduction
5.2 Literature Review
5.3 Development of the Proposed Framework
5.3.1 Supply Chain 4.0 SoS
5.3.2 Supply Chain Competition: Competitive Supply Chain SoS
5.4 Characterization of the Competitive Supply Chain as a SoS
5.5 Conclusions
References
6 Supply Chain Response: Proposal for a General Definition
6.1 Introduction
6.2 Methodology
6.3 Selected SCR Definitions
6.4 A General Purpose Supply Chain Response Definition
6.5 Validation of General Definition of Supply Chain Response
6.6 Conclusions and Future Research
References
7 A Blockchain Applications Overview
7.1 Introduction
7.2 Review Methodology
7.3 Literature Review
7.3.1 Financial Applications
7.3.2 IoT Applications
7.3.3 Logistics and Supply Chain Applications
7.3.4 Other Application Areas
7.3.5 Modelling Approach and Software Tool
7.4 Discussion
7.5 Conclusions
References
8 Blockchain Application for a Sustainable Supply Chain Management
8.1 Introduction
8.2 Blockchain
8.3 Smart Contracts
8.4 Blockchain-Based Supply Chain
8.5 Advantages in the Use of Blockchain Applications
8.6 Conclusions
References
9 Methodology to Treat Synergies in the Distribution to Multiple Kinds of Clients
9.1 Introduction
9.2 Definitions on Supply Chain Management
9.3 Types of Supply Chains
9.4 Synergic Supply Chains
9.5 Methodology for the Degree of Synergic Supply Chains
9.6 Application to a SC of Pharmaceutical Distribution
9.7 Conclusions
References
Part III Production Planning and Control
10 Conceptual Framework for the Integration of Tactical and Operational Decisional Levels
10.1 Introduction
10.2 Review of Visions for Tactical-Operational Planning
10.3 Proposal of a Conceptual Framework for Tactical-Operational Planning
10.4 Conclusions
References
11 Proposal of a Smart Production Planning and Scheduling in the Industry 4.0 Era
11.1 Introduction
11.2 Deficiencies in PPCS
11.2.1 Digital Transformation in PPCS
11.2.2 Identification of Deficiencies in the Current PPCS
11.3 Proposal to Improve the Planning and Scheduling Processes
11.4 Conclusions
References
12 Production Scheduling of a Vegetable Packing Machine with Lack of Homogeneity in Raw Material
12.1 Introduction
12.2 Problem Description
12.2.1 Broccoli/Cauliflower Work Centre
12.2.2 Broccoli and Cauliflower Mix Trays Work Centre
12.3 Scheduling Problem Modelling
12.3.1 Model Hypothesis
12.3.2 Notation
12.3.3 MILP Model I
12.3.4 A MILP Model II: LHRW
12.4 Conclusions and Future Research
References
13 Purchasing Process Consequences After In-house Additive Manufacturing Adoption
13.1 Introduction
13.2 Objective and Study Methodology
13.3 Additive Manufacturing Influence in Aerospace Supply Chain
13.4 Discussion When AM is Applied In-House Aerospace Plant
13.5 Conclusions
References
14 Artificial Intelligence for Solving Flowshop and Jobshop Scheduling Problems: A Literature Review
14.1 Introduction
14.2 Methodology
14.3 Results and Analysis
14.3.1 AI Contribution to the Flowshop Scheduling Problem
14.3.2 AI Contribution to the Jobshop Scheduling Problem
14.4 Conclusions
References
Part IV Operations Research
15 Optimal Telecommunications Network Expansion Using Mixed Linear Integer Programming
15.1 Introduction
15.2 Related Work
15.3 Problem Description
15.4 Model Formulation
15.5 Experimentation
15.6 Conclusions
References
16 Differences Between Static and Dynamic Home Care Routing and Scheduling Models. How to Design an Appropriate Model
16.1 Introduction
16.2 Dynamic and Static Models. Brief Review of Existing Literature
16.2.1 What Is a Dynamic Model? Differences with Static Models
16.2.2 Home Care Routing and Scheduling Brief Literature Review
16.3 Framework to Design a Suitable Model
16.4 Conclusions and Future Research Directions
References
17 Reformulation of the CVRP Based on the Equivalent Cyclic Polygon
17.1 Introduction
17.2 CVRP Formulation
17.3 Equivalent Cyclic Polygon of a VRP Solution
17.4 CVRP Reformulation
17.5 Experimentation
17.6 Discussion
17.7 Conclusions
References
18 Scientific Trends in Artificial Neural Networks for Management Science
18.1 Introduction
18.2 Methodology and Objectives
18.3 Results and Discussion
18.3.1 Publication Year Analysis
18.3.2 Country Analysis
18.3.3 Author Analysis
18.3.4 Keyword Analysis
18.3.5 Sources of Knowledge
18.4 Conclusions and Future Work
References
19 Establishing a Fulfillment Costs Model for the Subscription Box
19.1 Introduction
19.2 Methodology
19.3 Fulfillment Costs Model
19.4 Conclusions
References
Part V Project and Process Management
20 Why Do Traditional Project Management Methods Hinder the Competitiveness of the Construction Industry?
20.1 Introduction
20.2 Objectives and Methodology
20.3 Intrinsic Characteristics of the Construction Production Process
20.4 The Traditional Construction Project Management System in the Private Sector
20.5 Weaknesses Derived from the Underlying Organizational Structure to the Traditional Models of Construction Project Management
20.5.1 The Relationship Between Project Team Members
20.5.2 Subcontracting
20.5.3 Contractual Model
20.6 Conclusions
References
21 A Review of Tools and Techniques in Uncertainty Management
21.1 Introduction
21.2 Research Methods
21.3 Risk Management
21.4 Uncertainty
21.4.1 Stochastic Uncertainty
21.4.2 Aleatoric Uncertainty
21.4.3 Epistemic Uncertainty
21.4.4 Ontological Uncertainty
21.5 Tools and Techniques
21.6 Conclusions
References
22 Overview of Methods for Measuring Technological Maturity
22.1 Introduction
22.2 Methodology
22.3 Background and Significance of Measuring the Technological Maturity
22.4 Methods for Measuring Technological Maturity
22.4.1 Future-Oriented Technology Analysis (FTA)
22.4.2 The Technology Readiness Level (TRL)
22.5 Conclusions
References
23 Evaluation of the Maturity Level of Continuous Improvement Based on Improvement Routines: A Case Study of SMEs of Capital Goods
23.1 Introduction
23.2 Methodology
23.3 Theoretical Framework
23.4 Continuous Improvement Process
23.5 Case Study
23.6 Results and Discussion
23.7 Conclusions
References
Part VI Business Management, Entrepreneurship and Innovation
24 Business Model Innovation in SMEs: A Cluster Analysis
24.1 Introduction
24.2 Business Model Innovation in SMEs
24.3 Objectives and Methodology
24.4 Results
24.5 Discussion, Conclusions and Further Research
References
25 Crowdsourcing Ecosystem. The Crowd Pillars and Their Implementation Process
25.1 Introduction
25.2 Methodology
25.3 Crowdsourcing Definition and Conceptualization
25.4 Crowdsourcing Ecosystem. A Crowd Capital Perspective
25.5 Using the Crowd as a Business Partner. The Case of a Financial Institution
25.6 Conclusions
References
26 Equity-Based Crowdfunding: Pillars and Risks on the New Funding Structure of Collaborative Economy
26.1 Introduction
26.2 Methodology
26.3 Equity Crowdfunding Stakeholders
26.4 Equity Crowdfunding: Risk Generator/Taker Approach
26.5 Conclusions
References
27 Selecting the Best Intergenerational Learning Strategies for a Bakery
27.1 Ensuring Company’s Sustainability Through Intergenerational Learning
27.2 Intergenerational Learning: Literature Review
27.3 Research Methodology
27.4 Main Results
27.5 Conclusions and Further Research Directions
References
Part VII Organizational Engineering Education
28 Supporting Innovations to Incorporate the SDGs at Universities Through MOOCs
28.1 Introduction
28.2 Objectives
28.3 Methodology
28.4 Case Study
28.5 Results
28.5.1 Academic Innovation
28.5.2 (Intra- and Inter-) Organizational Innovation
28.5.3 Regulatory Innovation
28.6 Discussion
28.7 Concluding Remarks
References
29 On-Premise Free Data Visualization Tools Within the Design of a Business Intelligence (BI) Learning Activity
29.1 Introduction and Objectives
29.2 BI Infrastructure
29.3 Business Intelligence
29.3.1 Data Extraction
29.3.2 Data Preparation
29.3.3 Data Analysis and Visualization
29.4 Visualization Tools
29.4.1 Pentaho Report Designer
29.4.2 Saiku with Pentaho
29.4.3 Power BI
29.5 Conclusions
References
30 Applying a Cloud-Based Open Source ERP to Industrial Organization Learning Through the Materials Requirements Planning Module
30.1 Introduction and Objectives
30.2 Literature Review
30.2.1 MRP
30.2.2 Software for the Practical Session
30.3 Case Study
30.4 Conclusions
References
Index