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., & 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
Fatemeh Kangi; Sadegh Borji; S.T.A. Niaki; Vahid Hajipour. "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.
VANCOUVER
Kangi, F., Borji, S., Niaki, S., Hajipour, V. A Novel Hybrid Approach to Analyze Cost of Quality: Balanced Scorecard and Fuzzy Logic. International Journal of Engineering, 2014; 27(10): 1611-1618.
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