1
Industrial & Mechanical Engineering, Islamic Azad University, Qazvin Branch
2
Industrial Engineering, Sharif University of Technology
Abstract
In this paper, a new methodology in the area of cost of quality (COQ) is proposed to determine the optimal investment allocation to all costs. The goal is to minimize costs involved in achieving a required level of quality. The contribution of this paper is fourfold: (I) considering two types of weights for each part of COQ, in which the first type is determined by the cost volume and the second is obtained by applying a decision-making technique; (II) participating shareholders’ opinions through the balanced scorecard method; (III) presenting a mathematical programming model to maximize the investment effectiveness; and (IV) considering a continuous improvement cycle to tune the model parameters. In addition, we also develop a COQ technique in fuzzy environment to enhance the accuracy of traditional methods of employing linguistic variables. To demonstrate the applicability of the presented methodology, a numerical example is investigated.
Kangi,F. , Borji,S. , Niaki,S. and Hajipour,V. (2014). A Novel Hybrid Approach to Analyze Cost of Quality: Balanced Scorecard and Fuzzy Logic. International Journal of Engineering, 27(10), 1611-1618.
MLA
Kangi,F. , , Borji,S. , , Niaki,S. , and Hajipour,V. . "A Novel Hybrid Approach to Analyze Cost of Quality: Balanced Scorecard and Fuzzy Logic", International Journal of Engineering, 27, 10, 2014, 1611-1618.
HARVARD
Kangi F., Borji S., Niaki S., Hajipour V. (2014). 'A Novel Hybrid Approach to Analyze Cost of Quality: Balanced Scorecard and Fuzzy Logic', International Journal of Engineering, 27(10), pp. 1611-1618.
CHICAGO
F. Kangi, S. Borji, S. Niaki and V. Hajipour, "A Novel Hybrid Approach to Analyze Cost of Quality: Balanced Scorecard and Fuzzy Logic," International Journal of Engineering, 27 10 (2014): 1611-1618,
VANCOUVER
Kangi F., Borji S., Niaki S., Hajipour V. A Novel Hybrid Approach to Analyze Cost of Quality: Balanced Scorecard and Fuzzy Logic. IJE, 2014; 27(10): 1611-1618.
