Integrated approach for sustainable product development using QFD and ANP

被引：3

作者：

Soota T. ^{[1
]}

机构：

[1] Department of Mechanical Engineering, Bundlkhand Institute of Engineering and Technology (B.I.E.T), Jhansi

来源：

International Journal of Industrial and Systems Engineering | 2017年 / 25卷 / 01期

关键词：

Analytical network process; ANP; Customer needs; ECs; Engineering characteristics; Multi-criteria analysis; New product development; QFD; Quality function deployment;

D O I：

10.1504/IJISE.2017.080688

中图分类号：

学科分类号：

摘要：

The success of the company lies in understanding the customer preferences, tastes and anticipating the changes required in existing or new products being offered. The proposed methodology promotes the product development process using a decision perspective, considering it as a deliberate business processes with scores of generic decisions. The objective of this work is to enable a new and deeper understanding of how firms can structure and manage iterative and integrative approaches to product development in rapidly changing markets. This study uses a heuristic approach to formulate the problem of product development using an integrated approach of analytical network process (ANP) with quality function deployment (QFD) to evaluate the most satisfying design for customer. Identification of customer attributes and preferences is followed by structuring of the decision problem. The general feedback network is used to accommodate variety of interactions, dependencies and feedback between various elements. Model enables assessment of strategies to synthesise qualitative and quantitative factors in decision making keeping checks on consistency. Evaluation of the impact of the engineering characteristics weights is done for matching it with stated objectives. A case study for development of a hypothetical writing instrument for has been presented here for the proposed approach. © 2017 Inderscience Enterprises Ltd.

引用

页码：59 / 75

页数：16

共 34 条

[1]

Ayag Z., Ozdemir R.G., An intelligent approach to machine tool selection through fuzzy analytic network process, J. Intell. Manuf., 22, 2, pp. 163-177, (2011)

[2]

Bhattacharya A., Bijan S., Kumar M.S., Integrating AHP with QFD for robot selection under requirement perspective, International Journal of Production Research, 43, 17, pp. 3671-3685, (2005)

[3]

Buyukozkan G., Cifci G., A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers, Expert Systems with Applications, 39, 3, pp. 3000-3011, (2012)

[4]

Chan L.-K., Wu M.-L., Quality function deployment: A comprehensive review of its concepts and methods, Quality Engineering, 15, 1, pp. 23-35, (2002)

[5]

Chatterjee P., Chakraborty S., Investigating the effect of normalization norms in Flexible manufacturing system selection using multi criteria decision making methods, Journal of Engineering Science and Technology Review, 7, 3, pp. 141-150, (2014)

[6]

Chatterjee P., Mukherjee P., Chakraborty S., Supplier selection using compromise ranking and outranking methods, J. Ind. Eng. Int., 7, 14, pp. 61-73, (2011)

[7]

Chaudhuri A., Bhattacharyya M., A combined QFD and integer programming framework to determine attribute levels for conjoint study, International Journal of Production Research, 47, 23, pp. 6633-6649, (2009)

[8]

Dahan E., Hauser J.R., The virtual customer, Journal of Product Innovation Management, 19, 3, pp. 332-353, (2002)

[9]

Touche Tohmatsu D., The challenge of complexity in global manufacturing, Growth Insights, (2007)

[10]

Ilangkumaran M., Avenash A., Balakrishnan V., Kumar S.B., Boopathi Raja M., Material selection using hybrid MCDM approach for automobile bumper, Int. J. of Industrial and Systems Engineering, 14, 1, pp. 20-39, (2013)

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