Related Experiment Video
Updated: Jan 15, 2026

Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
Computational modeling for enhanced reliability in space missions: An integrated FAHP-COPRAS approach to supplier
Bo-Yu Lin1,2, Hsiaoping Yeh1
1College of Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.
Abstract:
Liquid Crystal Displays (LCDs) are indispensable in space science, playing critical roles in spacecraft instrumentation, data visualization, and control systems. Selecting reliable suppliers for LCD equipment is vital to ensuring optimal performance and durability in the challenging conditions of outer space. This paper presents a comprehensive decision-making framework using fuzzy multi-criteria decision-making (MCDM) methodologies tailored for aerospace applications. The framework begins with the Fuzzy Analytic Hierarchy Process (FAHP) to determine criteria weights such as technical specifications, environmental resistance, quality and reliability, cost and delivery performance, compliance, and certifications. These criteria are crucial for meeting the stringent requirements of space missions and reflect objective metrics and expert opinions. Subsequently, the Complex Proportional Assessment of Alternatives (COPRAS) is applied to rank potential suppliers based on their performance against the weighted criteria. COPRAS allows for a comparative analysis considering positive and negative preferences, ensuring suppliers meet technical specifications and align with strategic mission objectives and constraints. Integrating FAHP and COPRAS enhances supplier selection processes' transparency, consistency, and objectivity in aerospace procurement. This approach mitigates the risks associated with supplier variability, ensuring continuity in operations critical to space exploration and scientific advancements. The study contributes to advancing decision support systems in aerospace procurement, emphasizing rigorous supplier evaluation methodologies to enhance mission success and reliability in space science applications.
More Related Videos
05:47Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
Published on: August 29, 2025
09:04A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
Published on: June 1, 2022
Related Concept Videos
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Distribution Reliability and Automation
Response Surface Methodology
The process of RSM involves several key steps:
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Mathematical Modeling: Problem Solving
Propagation of Uncertainty from Systematic Error