International Journal of Business, Management and Social Research |
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Draft version review article:
A fuzzy decision system for new product specification forecast
Khadijeh Yousefipour Jeddi
Dept. of Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
Int. J. Bus. Manag. Soc. Res. | Volume 02, Issue 01, pp. 105-113 | Available online: 15 April 2016
DOI: http://dx.doi.org/10.18801/ijbmsr.020116.11
A fuzzy decision system for new product specification forecast
Khadijeh Yousefipour Jeddi
Dept. of Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
Int. J. Bus. Manag. Soc. Res. | Volume 02, Issue 01, pp. 105-113 | Available online: 15 April 2016
DOI: http://dx.doi.org/10.18801/ijbmsr.020116.11
| 11_ijbmsr_a_fuzzy_decision_system__for_new_product_specification_forecast.pdf |
Title: A fuzzy decision system for new product specification forecast
Authors: Khadijeh Yousefipour Jeddi
Abstract
New product development (NPD) requires considering multiple criteria under a hierarchical structure. The evaluation process often involves uncertainty and fuzziness in both the relationships between criteria and the judgments of evaluators. Quality function deployment (QFD) aims to facilitate the NPD process from product conceptualization to production requirements. New Product Specification Forecast System (NPSFS) support product development and used from first matrix of QFD. A case study of a scale producer firm to select the Specification of new product based on data collected from designed questionnaires is given which includes identification & determination of customers’ needs, while looking for technical and engineering characteristics related to their needs. The results are then used to construct houses of quality for QFD, which is incorporated by fuzzy AHP. It is concluded that the proposed decision support system by fuzzy QFD can be used as a powerful tool to select the most suitable specification for new products to satisfy customer's needs.
Keywords: Decision support systems (DSS). Fuzzy AHP, Quality function deployment (QFD), New product specification forecast system (NPSFS) and New product development (NPD)
Authors: Khadijeh Yousefipour Jeddi
Abstract
New product development (NPD) requires considering multiple criteria under a hierarchical structure. The evaluation process often involves uncertainty and fuzziness in both the relationships between criteria and the judgments of evaluators. Quality function deployment (QFD) aims to facilitate the NPD process from product conceptualization to production requirements. New Product Specification Forecast System (NPSFS) support product development and used from first matrix of QFD. A case study of a scale producer firm to select the Specification of new product based on data collected from designed questionnaires is given which includes identification & determination of customers’ needs, while looking for technical and engineering characteristics related to their needs. The results are then used to construct houses of quality for QFD, which is incorporated by fuzzy AHP. It is concluded that the proposed decision support system by fuzzy QFD can be used as a powerful tool to select the most suitable specification for new products to satisfy customer's needs.
Keywords: Decision support systems (DSS). Fuzzy AHP, Quality function deployment (QFD), New product specification forecast system (NPSFS) and New product development (NPD)
APA (American Psychological Association)
Jeddi, K. Y. (2016). A fuzzy decision system for new product specification forecast. International Journal of Business, Management and Social Research, 02(01), 105-113.
MLA (Modern Language Association)
Jeddi, K. Y. “A fuzzy decision system for new product specification forecast.” International Journal of Business, Management and Social Research, 02.01 (2016): 105-113.
Chicago/Turabian
Jeddi, K. Y. A fuzzy decision system for new product specification forecast. International Journal of Business, Management and Social Research, 02, no. 01 (2016): 105-113.
Jeddi, K. Y. (2016). A fuzzy decision system for new product specification forecast. International Journal of Business, Management and Social Research, 02(01), 105-113.
MLA (Modern Language Association)
Jeddi, K. Y. “A fuzzy decision system for new product specification forecast.” International Journal of Business, Management and Social Research, 02.01 (2016): 105-113.
Chicago/Turabian
Jeddi, K. Y. A fuzzy decision system for new product specification forecast. International Journal of Business, Management and Social Research, 02, no. 01 (2016): 105-113.
- Chuang, P. T. (2001). Combining the analytic hierarchy process and quality function deployment for a location decision from a requirement perspective. International Journal Advance Manufacturing Technology, 18, 842-849. http://dx.doi.org/10.1007/s001700170010
- Jeddi, K. Y., Alborzi, M & Dadfar, R. (2014). A designing decision support system for new product specifications selection: Using Fuzzy AHP-QFD and ANN (Case Study: Arvin Dosari Co., Digital Scale Producer). International Journal of Innovative Technology and Research, 2(1), 663 - 673.
- Lu, R. F., Petersen, T. D. & Storch, R. L. (2007). Modeling customized product configuration in large assembly manufacturing with supply-chain considerations. Int. J. Flex. Manuf. Syst., 19, 685-712. http://dx.doi.org/10.1007/s10696-008-9041-0
- Saaty, T. L. (1980). The Analytic Hierarchy Process, McGraw-Hill, New York, USA.
- Saaty, T. L. (1996). Decision making with dependence and feedback: the analytic network process. RWS Publications, Pittsburgh.
- T. Østeras, Murthy, D. N. P. & Rausand, M. (2004). Reliability performance and specifications in new product development. Retrieved 10 March 2016 from http://frigg.ivt.ntnu.no/ross/reports/ReliabilitySpecifications.pdf
- Taha, Z. & Rostam, S. (2011). A Fuzzy AHP-ANN Based Decision Support System for Machine Tool Selection in a Flexible Manufacturing Cell. International Journal of Advanced Manufacturing Technology, 57, 719- 733. http://dx.doi.org/10.1007/s00170-011-3323-5
- Wang, H. & Lin, Z. (2007). Defects tracking matrix for mass customization production based on house of quality. Int. J. Flex. Manuf. Syst., 19, 666-684. http://dx.doi.org/10.1007/s10696-007-9025-5
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