Detailansicht
Industrial Engineering and Operations Management
XXVIII IJCIEOM, Mexico City, Mexico, July 17-20,2022, Springer Proceedings in Mathematics & Statistics 400
ISBN/EAN: 9783031147623
Umbreit-Nr.: 6289846
Sprache:
Englisch
Umfang: xii, 432 S.
Format in cm:
Einband:
gebundenes Buch
Erschienen am 24.11.2022
Auflage: 1/2023
- Zusatztext
- This proceedings volume convenes peer-reviewed, selected papers presented at the XXVIII International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM) that was held in Mexico City, Mexico, July 17-20, 2022, with a special focus on applications of industrial engineering and operations management for research and practice. Fields covered include operations, manufacturing, industrial and production engineering and management, emphasizing optimization models and data science applications to real-world problems. In this book, the reader will find works on topics as optimization models; stochastic optimization; digital transformation in the supply chain; data science applications in operations management; Industry 4.0: manufacturing planning & control; blockchain; intelligent transportation systems; sustainable and reverse logistics; big data and demand planning; predictive and prescriptive analytics; last-mile delivery optimization; stochastic inventory models; new trends in information technology for operation management; stochastic optimization; optimization models for omnichannel; safety in operation management; and more. This volume includes relevant information for academics, since most of the chapters focus on real-world case studies and systematic reviews, but also for professionals in the industrial sector as it presents solutions to complex industrial challenges. Previous 2018, 2019, 2020, and 2021 IJCIEOM proceedings can also be found in Springer's catalog.
- Kurztext
- This proceedings volume convenes peer-reviewed, selected papers presented at the XXVIII International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM) that was held in Mexico City, Mexico, July 17-20, 2022, with a special focus on applications of industrial engineering and operations management for research and practice. Fields covered include operations, manufacturing, industrial and production engineering and management, emphasizing optimization models and data science applications to real-world problems. In this book, the reader will find works on topics as optimization models; stochastic optimization; digital transformation in the supply chain; data science applications in operations management; Industry 4.0: manufacturing planning & control; blockchain; intelligent transportation systems; sustainable and reverse logistics; big data and demand planning; predictive and prescriptive analytics; last-mile delivery optimization; stochastic inventory models; new trends in information technology for operation management; stochastic optimization; optimization models for omnichannel; safety in operation management; and more. This volume includes relevant information for academics, since most of the chapters focus on real-world case studies and systematic reviews, but also for professionals in the industrial sector as it presents solutions to complex industrial challenges. Previous 2018, 2019, 2020, and 2021 IJCIEOM proceedings can also be found in Springer's catalog.
- Autorenportrait
- Vi´ctor Sa´nchez is a professional in Supply Chain Management practices, such as Sales & Operations, Demand Planning, Master Scheduling, Shoop Floor Control, Capacity Planning, Lean management among others in telecommunications and automotive industry. He got a bachelor's in Industrial and Systems Engineering, an MBA degree, a PhD in Management at Tecnolo´gico de Monterrey and has a 20-year experience as undergraduate and graduate professor in Supply Chain and Operations. He has served as professor in Engineering and Business Schools at Tecnolo´gico de Monterrey (State of Mexico Campus and Mexico City Campus), also in MBA programs offered by Tecnolo´gico de Monterrey at Guayaquil Ecuador, Lima Peru´, Bogota´, Medellin Colombia, Panama City, Panama, and in Engineering School at Universidad Ana´huac Mexico. Victor has also been Director of MBA and Graduate Business programs at Tecnolo´gico de Monterrey (State of Mexico Campus), Graduate and Working Adult Programs and Quality Assurance at Universidad del Valle de Mexico. Now he is the Managing Director of CADIT. (Center of Top Management in Engineering and Technology) at Universidad Ana´huac Mexico, in the Engineering School and his research interest is in Supply Chain Management Process optimization Francisco Freires 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 Industrial Engineering and Management from the Faculty of Engineering of the University of Porto (2007). He has experience in Production Engineering with 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 northeastern semi-arid region of Brazil. He has also developed research in the advance of the intermodal logistics of the São Francisco River and reverse logistics systems for empty pesticide packings. 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 perspective of Supply Chain Management and Circular Economy. João Reis is a Professor at the Faculty of Engineering of the Lusófona University of Humanities and Technologies (ULHT), Lisbon, Portugal. He received his Doctoral Diploma in Industrial Engineering from Aveiro University in 2018. In recent years, he has been conducting scientific research in the fields of Service Science, Industrial Engineering and Operations Management. He is a research fellow at the Research Center on Industrial Engineering, Management and Sustainability (EIGeS) and at the Research Unit on Governance, Competitiveness and Public Policy (GOVCOPP). Joana Costa PostDoc "lnnovation Persistence and National lnnovation Contexts. The Role of Open lnnovation" Faculty of Economics, University of Porto; PhD on Public Policy Innovation Policy on the University of Aveiro. MPhil in Economics from the Faculty of Economics, University of Porto; a PostGraduate in Industrial Management, from the ISEP School of Engineering; a degree in Economics from the School of Economics and Management, University of Minho. She is an Assistant Professor in the University of Aveiro, at the Department of Economics, Management Industrial Engineering and Tourism. She lectures PhD, graduated and under graduated courses of Econometrics, Applied Econometrics, Economics of Innovation, Entrepreneurship and Innovation, Public Finance and