Hybrid Conferencee

International Conference on Decision Sciences Applications in Industrial Engineering (ICDSAIE - 26)

18th - 19th August 2026 | Kaohsiung City, Taiwan

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Kaohsiung City conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Kaohsiung City, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Kaohsiung City."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.