Overall performance evaluation of tubular scraper conveyors using a TOPSIS-based multiattribute decision-making
Yanping Yao1, Ziming Kou2, Wenjun Meng3
1Taiyuan University of Technology, Taiyuan 030024, China ; Taiyuan University of Science and Technology, No. 66 Waliu Road, Wanbolin District, Taiyuan 030024, China.
Thescientificworldjournal
|July 4, 2014
Summary
Evaluating tubular scraper conveyors (TSCs) is crucial for efficiency. This study successfully used the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to assess TSC performance, confirming its suitability for industrial applications.
Area of Science:
- Mechanical Engineering
- Industrial Engineering
- Operations Research
Background:
- Evaluating the performance of tubular scraper conveyors (TSCs) is vital for enhancing efficiency and reducing operational costs.
- Existing methods for comprehensive TSC performance evaluation are limited, necessitating the development of new approaches.
Purpose of the Study:
- To evaluate the overall performance of tubular scraper conveyors (TSCs) using a novel methodology.
- To establish a reliable method for optimizing TSC deployment in industrial settings.
Main Methods:
- The study employed the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for multi-attribute decision-making.
- Key performance indicators evaluated included scraper space, material filling coefficient, and vibration coefficient.
- A weighted judgment matrix was developed using the DELPHI method to construct a mathematical model.
Main Results:
- The TOPSIS-based evaluation method was applied to three identical TSCs.
- Calculations of linguistic positive-ideal solution (LPIS), linguistic negative-ideal solution (LNIS), and approximation degrees determined the optimal solution.
- The performance ranking derived from TOPSIS closely matched the manufacturer's measurement results.
Conclusions:
- The TOPSIS-based methodology provides a suitable and effective tool for evaluating the overall performance of TSCs.
- This approach facilitates informed decision-making for the optimal industrial deployment of TSCs.
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