Open Science Research Excellence

ICBSEAD 2020 : International Conference on Business Systems Engineering, Analysis and Design

Istanbul, Turkey
April 24 - 25, 2020

Call for Papers

ICBSEAD 2020 : International Conference on Business Systems Engineering, Analysis and Design is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Business Systems Engineering, Analysis and Design. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
  • Business systems engineering
  • Information systems engineering
  • Business process engineering
  • Tools of business systems engineering
  • Process analysis and measurements
  • Applications of business systems engineering
  • Engineering product design
  • Engineering manufacturing systems
  • Engineering customers service
  • Engineering the office
  • Engineering business systems
  • Project management
  • Marketing intelligence
  • Engineering economy
  • Process management and innovation
  • Decision analysis
  • Process optimization and improvement
  • Management systems and assessment
  • Manufacturing logistics and simulation
  • Data warehousing/mining, database processing/schema
  • Data and knowledge visualization, knowledge discovery and management systems
  • Intelligent decision support, business intelligence architecture
  • Lean/active/dynamic systems
  • Information retrieval, human-computer interaction
  • Enterprise/organizational information strategy, enterprise performance management
  • Information quality, security, privacy
  • Soft/hybrid computing, agent architectures/systems
  • Organizational operation management and strategy
  • Uncertainty management, insufficient information decisions
  • Production planning, scheduling
  • Supply chain management
  • Artificial intelligence applications to business decision making
  • Online analytical processing, predictive analysis, text mining