Abstract—This paper focuses on presenting a multi-criteria decision aid to rank and select the best improvement solution with integration using technique for order preference by similarity to ideal solution (TOPSIS) and data of computer simulation. The proposed decision aid in this paper provides industrial practitioners with a structured and formalized evaluation process when considering multiple criteria. A case study company was used to illustrate the operation of the decision support process through the selection process of improvement solutions. Based on the analysis, the selected improvement solution has been increased 29.3% of the line efficiency. The multi – criteria decision aid has been shown to assist the industrial practitioners when deciding to select and adopt the best improvement solutions.
Index Terms—Decision making, improvement solutions, multi-criteria, simulation, TOPSIS.
The authors are with the School of Mechanical Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Pulau Pinang, Malaysia (e-mail: low_sn@yahoo.com, meshah@eng.usm.my, ishak@eng.usm.my).
[PDF]
Cite:Low Shye-Nee, Shahrul Kamaruddin, and Ishak Abd Azid, "Computer Simulation with TOPSIS Approach for Improvement Solutions Ranking: A Case Study," International Journal of Computer Theory and Engineering vol. 5, no. 4, pp. 673-677, 2013.
