TY  - JOUR
Y1  - 2016///
VL  - 9
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006043169&doi=10.3926%2fjiem.1425&partnerID=40&md5=e529e409e3ff0e86a68880c096800c35
JF  - Journal of Industrial Engineering and Management
A1  - Zahraee, S.M.
A1  - Chegeni, A.
A1  - Toghtamish, A.
ID  - scholars7703
N2  - Purpose: Manufacturing systems include a complicated combination of resources, such as materials, labors, and machines. Hence, when the manufacturing systems are faced with a problem related to the availability of resources it is difficult to identify the root of the problem accurately and effectively. Managers and engineers in companies are trying to achieve a robust production line based on the maximum productivity. The main goal of this paper is to design a robust production line, taking productivity into account in the selected manufacturing industry. Design/methodology/approach: This paper presents the application of Taguchi method along with computer simulation for finding an optimum factor setting for three controllable factors, which are a number of welding machines, hydraulic machines, and cutting machines by analyzing the effect of noise factors in a selected manufacturing industry. Findings and Originality/value: Based on the final results, the optimal design parameter of welding unit of in the selected manufacturing industry will be obtained when factor A is located at level 2 and B and C are located at level 1. Therefore, maximum productive desirability is achieved when the number of welding machines, hydraulic machines, and cutting machines is equal to 17, 2, and 1, respectively. This paper has a significant role in designing a robust production line by considering the lowest cost and timely manner based on the Taguchi method. © 2016, Universitat Politecnica de Catalunya. All rights reserved.
IS  - 2
SN  - 20138423
PB  - Universitat Politecnica de Catalunya
EP  - 504
AV  - none
SP  - 487
TI  - The optimal parameter design for a welding unit of manufacturing industry by taguchi method and computer simulation
N1  - cited By 2
ER  -