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Home > Business and Economics > Business and Management > Operational research > Industrial Engineering and Operations Management: XXIX IJCIEOM, Lisbon, Portugal, June 28–30, 2023(431 Springer Proceedings in Mathematics & Statistics)
Industrial Engineering and Operations Management: XXIX IJCIEOM, Lisbon, Portugal, June 28–30, 2023(431 Springer Proceedings in Mathematics & Statistics)

Industrial Engineering and Operations Management: XXIX IJCIEOM, Lisbon, Portugal, June 28–30, 2023(431 Springer Proceedings in Mathematics & Statistics)


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About the Book

This proceedings volume gathers selected, blinded peer-reviewed contributions presented at the XXIX International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held in Lisbon, Portugal, from June 28th to 30th, 2023.

This volume focuses especially on the applications of Industrial Engineering and Operations Management for research and practice. It includes relevant information for academics since most of the chapters focus on real-world case studies and systematic reviews. It also provides valuable insights for professionals in the industrial sector by presenting solutions to complex industrial challenges.

The 2023 iteration of the IJCIEOM conference had the theme "Developing resilience in Industrial Engineering and Operations Management" and aimed to analyze the resilience of supply chains in the post-COVID-19 era. The works published in this volume focus on how Digital Transformation (DX) and Artificial Intelligence (AI) have made themanufacturing and service industry more resistant to VUCA elements (i.e., volatile, uncertain, complex, and ambiguous). Regarding DX and AI, the research specifically focused on supply chain management, project management, and Industry 4.0. Other studies explore how industrial engineering incorporated innovative and technological concepts into service and product operations. Overall, this volume provides a valuable resource for researchers and practitioners alike as it presents numerous relevant contributions in identifying new challenges and opportunities for industrial engineering and operations management.

This conference was sponsored by renowned international industry engineering associations, particularly the American Society for Engineering Management (ASEM), the Institute of Industrial & Systems Engineers (IISE), and the Asociación para el Desarrollo de la Ingeniería de Organización (ADINGOR).

Table of Contents:
Preface.- Blockchain application for the supply chain optimization.- A Proposal of Web Application for the Study and Resolution of the Job Shop Problem With Makespan Minimization via Mixed Integer Linear Programming.- An approach to the design of resilient biomass supply chain using discrete event simulation.- Industrial production and economic growth since the ‘50s: analysing the Portuguese case using kaldorian and causality approaches.- Green Logistics, Reverse Logistics, Sustainable Logistics, and Eco-efficiency in the construction industry.- Suicide prediction in workers using Neural Networks and stress-related factors.- Method for Improving the Control of Suppliers aiming at Operational Excellence.- Research on Potential Usage of Residual Biomass in Marine Ports.- Optimisation Models for Scheduling Extraordinary University Exams with a Minimum Rest Time between Consecutive Exams.- Optimisation Models for Scheduling Extraordinary University Exams with a Minimum Rest Time between Consecutive Exams.- Diagnosis Model Proposal for Improvement Opportunity in Project Management: An approach from the perspective of lean waste.- Design of a corporate training academy - The case study of a pharmaceutical company.- Socioenvironmental effectiveness of IoT: structure and elements of a proposal assessment tool.- Monte Carlo simulation applied for the identification of arrival and departure constraints at the São Paulo International Airport, Brazil.- Binary Programming for allocation of players in soccer competitions by a Canadian sports event management company.- Analysis of Dentists Allocation in Health Care Centers:A Case of Qatar.- Digital technologies and Lean 4.0: Integration, Benefits and Areas of Research.- Continuous improvement related performance: a bibliometric study and content analysis.- Process monitoring applied to performance indicators of manufacturing process.- Selective Openness in the Additive Manufacturing Industry: An Exploratory Modeling Analysis.- Marketing Campaigns and Consumer Behavior: The Long and Winding Road to Induce Sustainable Practices.- Design of a controller by pole placement applied to a production and inventory system.- Project management in hospital environments: a 5-year systematic literature review.- Preparing Human Factors for Digital Transformation: A Framework for Innovations in Industrial Engineering Education.- Multicriteria decision for electrified vehicles selection using analytical hierarchy process method.- BIM critical factors-based framework towards digitalization of construction in the public sector.- Evaluation of the implementation of recycling, reuse, remanufacturing, and reduction in the reverse chain of Brazilian WEEE: Survey in electronics companies.- Artificial intelligence in supply chain management: A systematic literature review and guidelines for future.- Analysis of the ANEEL Consumer Satisfaction Index through the application of Item Response Theory.- Edtechs in the contextof the industry in digital transformation: main research directions.- An environmental analytical model to assess the decarbonization potential of Municipal Solid Waste-based hydrogen production routes.- Bullwhip effect in the supply chain: an exploratory study in a Brazilian company.- Big Data Analytics to identify failures in production machines and propose a preventive maintenance plan.- Mapping the interlinkages between Humanitarian Operations and Sustainable Development Goals through literature review.- Human Performance of Manual Sorting: a Stochastic Analytical Model.- Analysis of a logistics process between a food service distributor and a fast-food chain.- Sales and Operations Execution – S&OE: A perspective on the Brazilian scenario.- Implications of COVID-19 on the use of public transport in São Paulo, Brazil.- Analysis of performance indicators in orders pickup: physical volume vs human factor.- Machine Learning Applied to Industrial Assembly Lines: A Bibliometric Study.-Barriers, enablers and base Industry 4.0 technologies of digital transformation in supply chains: an inter-country comparison.- Project Management Office and Teaching and Learning Center: A Comparative Literature Review.- Main musculoskeletal disorders in virtual modality students.- The PMOs’ Roles on Reaching the Brazilian’s Sanitation Universalization Goals.- PMS-SMEs network: a framework to measure the performance of SMEs in a collaborative context.- Asset prioritization for predictive maintenance in the context of Industry 4.0: A group multicriteria approach.- Index.

About the Author :
João Carlos Gonçalves dos Reis holds the position of Assistant Professor of Services Management, Operations Management, and Logistics at Lusófona University in Lisbon, Portugal. His research focus lies in the domains of Service Science, Industrial Engineering, and Operations Management. Dr. Reis serves as a research fellow at two esteemed institutions. He is affiliated with the RCM2+ Research Centre for Asset Management and Systems Engineering at Lusófona University, where he collaborates with prominent researchers. Additionally, he holds a research fellowship at the Research Unit on Governance, Competitiveness, and Public Policy (GOVCOPP).

Francisco Gaudencio Mendonça Freires was born in Fortaleza (state of Ceará - Brazil) in 1974. He holds a degree in Civil Engineering from the Federal University of Ceará (1996), a Master's degree in production engineering from the Federal University of Santa Catarina (2000), and a Ph.D. in IndustrialEngineering and Management from the Faculty of Engineering of the University of Porto (2007). He has experience in Production Engineering with an emphasis on Business Logistics and Operations Management, working mainly on the following topics: Supply Chain Management, reverse logistics, sustainable SCM, and cost management. He was a professor at the Federal University of the São Francisco Valley (UNIVASF) until 2011. He researched the issue of logistics and supply chain management of biofuels and fruit growing in the north-eastern semi-arid region of Brazil. He has also developed research in the advance of the intermodal logistics of the São Francisco River. He is currently an Associate Professor in the Department of Mechanical Engineering at the Federal University of Bahia (UFBA) Polytechnic School. He also works in the Graduate Program in Industrial Engineering (PEI) at UFBA, currently researching renewable energy alternatives from the supply chain management perspective.

Milton Vieira Junior holds a degree in Industrial Engineering from the Engineering School of São Carlos - USP (1987) and a Master's and Ph.D. degrees in Mechanical Engineering from the same institution. Nowadays, his position is of Assistant Professor at Mackenzie Prebiterian University, in São Paulo, Brazil, and Associate Researcher at ITEGAM - Galileo Technological Institute of Amazônia, Manaus, Brazil. His research focus lies on Production Management, Competitiveness, and Industry 4.0. Dr. Vieira was the President of ABEPRO - Brazilian Association of Industrial Engineering during the terms 2014/2015 and 2016/2017.


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Product Details
  • ISBN-13: 9783031470608
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 612
  • Series Title: 431 Springer Proceedings in Mathematics & Statistics
  • Width: 155 mm
  • ISBN-10: 3031470605
  • Publisher Date: 22 Dec 2024
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: XXIX IJCIEOM, Lisbon, Portugal, June 28–30, 2023


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Industrial Engineering and Operations Management: XXIX IJCIEOM, Lisbon, Portugal, June 28–30, 2023(431 Springer Proceedings in Mathematics & Statistics)
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