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Decision makers at all levels of management are facing a global, complex and more competitive environment where critical decisions have to be made on a rational basis.. Furthermore, the evaluation of the impact of the decisions made is difficult due to the strong internal and external interconnection between the organization and its environment. Organizations have to deal with more challenges due to fiercer competition, demanding customers, shorter product life cycle and supplier lead time, scarce and expensive resources and more constraining regulations. Therefore, operations require more flexible and highly sophisticated design, planning and production frameworks and techniques. Developing and improving modeling, optimization and simulation techniques is a mandatory step to face these challenges and seize new opportunities for efficient and responsive decision making in a more demanding and complex manufacturing and service environment.

The IESM'13 conference aims to bring together researchers and professionals from all industrial engineering disciplines to discuss issues and share their research and development results and experience.

Researchers and practitioners are invited to participate in the conference and submit their original and unpublished work.  



1. Original contributions are sought in the following topics :

  • Artificial Intelligence and its applications in industrial engineering
  • Customer service systems design and management
  • Cleaner and sustainable production systems and services
  • Project management
  • Data warehousing and data mining
  • Decision analysis and decision support systems
  • E-Services and Technologies for distributed manufacturing
  • Facilities design, planning, and layout
  • Heuristics and meta-heuristics for advanced manufacturing
  • Human factors and ergonomics
  • Human-computer interaction and cognitive engineering
  • Information systems and management
  • Health care systems
  • Service sciences management and engineering
  • Industrial engineering and systems management
  • Innovation management and entrepreneurship
  • Intelligent control, holonic and product-driven systems
  • Logistics, transportation, and distribution systems
  • Maintenance and reliability
  • Manufacturing executive systems and standards
  • Monitoring of manufacturing systems
  • Production planning and scheduling
  • Product life cycle management
  • Quality management
  • Supply chain design and performance evaluation 
  • Warehouse and inventory management 

2. Special sessions focusing on different research interests chaired by both scientists and industrials.

3. Student competition (sponsored scholarships)