Registration summary
ConferenceICDSAIE
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICDSAIE conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advanced Optimization Techniques in Industrial Engineering +
This track focuses on the latest advancements in optimization methodologies applicable to industrial engineering. Topics include linear and nonlinear programming, integer programming, and heuristic approaches for complex decision-making scenarios.
02 Simulation Modeling for Industrial Systems +
This session explores the role of simulation techniques in modeling and analyzing industrial systems. Participants will discuss applications of discrete-event simulation, Monte Carlo methods, and agent-based modeling in decision-making processes.
03 Multi-Criteria Decision Making in Engineering Applications +
This track addresses the challenges and methodologies associated with multi-criteria decision-making in industrial contexts. Emphasis will be placed on techniques such as AHP, TOPSIS, and PROMETHEE for evaluating complex alternatives.
04 Predictive Analytics for Operational Efficiency +
This session highlights the use of predictive analytics in enhancing operational efficiency within industrial engineering. Discussions will cover data-driven approaches for forecasting, trend analysis, and performance optimization.
05 Decision Support Systems in Industrial Engineering +
This track examines the development and implementation of decision support systems tailored for industrial applications. Participants will explore case studies that demonstrate the integration of data analytics and decision-making frameworks.
06 Stochastic Modeling in Industrial Decision-Making +
This session focuses on stochastic modeling techniques and their applications in industrial decision-making processes. Topics include risk assessment, uncertainty quantification, and the role of randomness in operational strategies.
07 Operations Research Applications in Industry +
This track delves into the applications of operations research methodologies in solving real-world industrial problems. Participants will share insights on optimization, queuing theory, and resource allocation strategies.
08 Data-Driven Decision Making in Industrial Engineering +
This session emphasizes the importance of data-driven decision-making in enhancing industrial processes. Discussions will focus on big data analytics, machine learning applications, and their impact on strategic decision-making.
09 Mathematical Modeling for Industrial Systems +
This track explores the development and application of mathematical models in industrial engineering. Participants will discuss various modeling approaches, including deterministic and stochastic models, for optimizing system performance.
10 Resource Allocation Strategies in Industrial Operations +
This session focuses on effective resource allocation strategies in industrial settings. Topics will include optimization techniques for manpower, materials, and machinery to enhance productivity and efficiency.
11 Scenario Analysis in Industrial Decision-Making +
This track examines the use of scenario analysis as a tool for strategic decision-making in industrial engineering. Participants will discuss methodologies for developing and evaluating different future scenarios to inform decision processes.
