Selected Papers from the 29th International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM)

Dear Colleagues,

The 29th International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM) (https://ijcieom.org/2023/) organized by Lusófona University, Portugal, is an excellent opportunity to promote researchers networking as a way to exchange ideas and approaches that contribute to the development of Industrial Engineering and Management from a scientific and industrial perspective. Moreover, IJCIEOM 2023 will provide an opportunity for PhD students to present their current research and to discuss their findings with Senior Academics in their respective fields. Papers published in the Special Issue “Selected Papers from the 29th International Joint Conference on Industrial Engineering and Operations Management” will be focused on recent advances in the general topics of production and industrial engineering, circular economy, digital transformation, Industry 4.0, logistics and supply chain management, operations research, service operations, and servitization.

Dr. João Reis
Dr. Gaudêncio Freires
Dr. Milton Vieira
Dr. Francisco Silva Pinto
Dr. Miguel Vieira
Guest Editors

Manuscript Submission Information

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• general topics of production and industrial engineering
• sustainable operations and supply chain management
• digital transformation and data science
• healthcare management
• human development and digital training for operation management in emergencies
• humanitarian operations management
• Industry 4.0 and cyberphysical systems
• information systems in operations
• innovation, product, and service development
• last mile delivery optimization
• lean and agile operations
• logistics and supply chain management
• operations in the public sector
• operations research
• operations strategy planning, scheduling, and control
• project management

• retail operations
• service operations management and servitization
• stochastic inventory models and optimization
• supply chain risk models and resilience
• teaching and learning in industrial engineering and operations management
• total quality management
• transport system engineering