Fuzzy and Multi Criteria Decisions for Business Management in Product Design Industries
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
Purpose - This study illustrates research product industrial engineering, which needs to be promoted to encourage knowledge intensive businesses. Research traditions related to industrial business products and a fuzzy multi criteria decision approach in technology management for product design industries have undergone continuous changes over time. However, there is no clarity on the present situation, and there is a need to reform business enterprises. Research design, data, and methodology - Using fuzzy theory and appraising multi-goal plans, the manner of promoting the competitive advantage of industrial businesses is analyzed using a case study. In the case study, various aspects are examined, such as product design and manufacture, fuzzy set decisions with multi attribute policy making, flaws in the present system, and a review of the related literature. Results - New fuzzy and multi criteria designs can improve the existing keyboard by solving product problems, resulting in a clear and durable typeface for a creative LED keyboard. Conclusion - Using a fuzzy set with multi attribute policymaking influences the achievements appraisal system and can help achieve the anticipated strategy goal of product design.
Abstract
Purpose - This study illustrates research product industrial engineering, which needs to be promoted to encourage knowledge intensive businesses. Research traditions related to industrial business products and a fuzzy multi criteria decision approach in technology management for product design industries have undergone continuous changes over time. However, there is no clarity on the present situation, and there is a need to reform business enterprises. Research design, data, and methodology - Using fuzzy theory and appraising multi-goal plans, the manner of promoting the competitive advantage of industrial businesses is analyzed using a case study. In the case study, various aspects are examined, such as product design and manufacture, fuzzy set decisions with multi attribute policy making, flaws in the present system, and a review of the related literature. Results - New fuzzy and multi criteria designs can improve the existing keyboard by solving product problems, resulting in a clear and durable typeface for a creative LED keyboard. Conclusion - Using a fuzzy set with multi attribute policymaking influences the achievements appraisal system and can help achieve the anticipated strategy goal of product design.
참고문헌 (21)
- Aburas, H. M., "An integrated performance management framework for a multi-business company", South African Journal of Industrial Engineering, 1(21), pp.35~43 (2010)
- Botha, G. J. van, "Proposed business process improvement model with integrated customer experience management", South African Journal of Industrial Engineering, 1(21), pp.45~57 (2010)
- Chiou, H. K., "Fuzzy Multiple-Criteria Decision-Making Approach for Product Design Decision Flow" (2002), Springer-Veriag New York Inc
- Erasmus, P., "Evaluation of quality concepts influencing a manufacturing environment in SOUTH AFRICA", South African Journal of Industrial Engineering November, 2(20), pp.93~105 (2009)
- Illier, S. F., "Introduction to Operations Research, Mc Graw Hill, lein M. Cerry", Fuzzy Sets and Systems, 1(39), pp.27~41 (1996)
- Javid, A. A., "A new model for single facility location based on service level", South African Journal of Industrial Engineering, 2(20), pp.219~227 (2009)
- Lotan, T., "Route choice in the presence of information using concepts from Fuzzy control and approximate reasoning", Transportation Planning and Technology, 2(17), pp.113~126 (1992)
- Min, H., "A multi-objective vehicle routing problem with soft time windows: the case of a public library distribution system", Socio-Economic Planning Science, 3(25), pp.179~188 (1991)
- Mote, J., "A parametric approach to solving bicriterion shortest path problems", European Journal of Operational Research, 1(53), pp.81~92 (1991)
- Salo, A. A., "On Fuzzy ratio comparisons in hierarchical decision models", Fuzzy Sets and Systems, 1(84), pp.21~32 (1994)
- Singh, N., "A Fuzzy approach to multi-objective routing problem with application to process planning in manufacturing systems", International Journal of Production Research, 39(6), pp.1161~1170 (1991)
- Tzeng, G. H., "Hierarchical MADM with Fuzzy intergral for evaluating enterprise intranet web sites", Information Sciences, 169(3-4), pp.409~426 (2004)
- Tzeng, G. H., "Evaluating intertwined effects in e-leaning programs : A novel hybrid MCDM model based on factor analysis and dematel", Expert System with Applications, 4(32), pp.115~119 (2006)
- Teng, J. Y., "Fuzzy multicriteria ranking of urban transportation investment alternatives", Transportation Planning and Technology, 1(20), pp.15~31 (1996)
- Teodorovic, D., "Fuzzy sets theory applications in traffic and transportation", European Journal of Operational Research, 3(74), pp.379~390 (1994)
- Teodorovic, D., "Application of Fuzzy set theory to the savings based vehicle routing algorithm", Civil Engineering Systems, 2(8), pp.87~93 (1991)
- Uys, J. W., "Trends in a South African industial engineering research journal : A textual information analysis perspective", South African Journal of Industrial Engineering, 1(21), pp.1~16 (2010)
- Van Landeghem, H. E., "A bi-criteria heuristic for the vehicle routing problem with time window", European Journal of Operational Research, 2(36), pp.217~226 (1988)
- Van Laarhoven, P. J., "A Fuzzy extension of Saaty’s priority theory", Fuzzy Sets and Systems, 1(11), pp.229~241 (1983)
- William, K. K., "Psychophysical assessments of image-sensor fused imagery", Publish Information, 44(2), pp.257~265 (2002)
- Wu, C. H., "A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy", Expert Ssystems with Applications, 32(2), pp.398~408 (2007)