臺灣人文及社會科學引文索引資料庫系統

:::

詳目顯示

回上一頁
第 1 筆 / 總合 1 筆   第一頁 上一頁 下一頁 最後一頁
/1頁
題名：產品開發及強化產業經營競爭力之研究
作者：廖世忠 引用關係
作者(外文)：Shih-ChungLiao
校院名稱：國立成功大學
系所名稱：工業設計學系碩博士班
指導教授：蕭世文
林銘泉
學位類別：博士
出版日期：2012
主題關鍵詞：產品開發；模糊理論；灰色理論；多目標決策；多準則決策系統；經營優勢；Product development；Fuzzy theory；Grey theory；Multi-criteria decision making；3-D information display；Business excellence
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:1
近年來，傳統產業下滑引起衝擊原因，主要在經濟、科學和技術。 首先，因環境迅速改變，特别是為產品設計改革和企業生產製造業，是有明顯市場波動變化，因而，逐漸浮出許多產業產品與設計的問題。 例如，傳統產業即有大量的往外移動，並且枯萎現象。
在研究方法，探究整合產品的研究設計與開發管理時，而產生多目標決策問題，應用多準則評估決策制定，及三維資訊以顯示產品，並達成創新與策略和實踐等五大架構領域，這為企業產品開發，最具有完整產品開發的方向。
本文研究探索，從產品研究與開發管理開始，過去設計通常會專注生產技術發展問題；當前設計焦點，則應用創新理念，而衍生關鍵性多目標決策問題；則在產業產品和業務管理，有很多需要做決策目標，且多處在多變的與不明的情况和不知時間之下；利用多準則決策系統之專業管理方法，幫助企業面對重要改革。所以，多準則決策系統，著重評價標準設計軟體及模型，以解決產品的市場資訊和具獨創性制定多準則決策，並應用三維的資訊顯示影像，做為研究新產品開發，讓產品圖像在三維電腦顯示系統，展現設計的創造。
因此，產業界在產品開發時，擁有強化產業經營競爭能力，提高對全球化衝擊之面臨挑戰，然而，瞭解創意產品開發和顧客消費滿意度是企業增長的關鍵，讓企業產品發展競爭力中，具有技術創新，成功完成精緻的目標和創意設計。所以，從觀察客戶的需求，實現創新，激勵設計能力，建立產品開發的趨勢為強化產業經營競爭力。最後，在個案研究中，利用顧客滿意度完成產品發展目標，朝向產業經營競爭優勢。
In recent years, traditional industries have been impacted by the following reasons and so in economy, science, and technology. First, environmental trend rapidly exchange, especially for product design reforming and enterprise production manufacturing. There upon product had greatly obvious marketing fluctuation changed, but gradually had many product design questions. For example, traditional industry has massive outside moves and withers the phenomenon.
In research method, integrates has product design of product development management system, multi-goal decision, multi-criteria decision making, innovation of product policy and practice etc. Total five framework perspectives, into the best product development and industry business excellence.
From product development management perspective, designs were usually focused on production technique development in the past. However, current design goal has been shifted to innovation application to really catch and meet customers’ consumption changes in times. Producer’s multi-goal of decision question, explores why some research concludes that tradition product industries and a multi-criteria decision of business management approach is changeable with unclear condition and time. This perspective study also helps enterprise’s to face important reforms by using Fuzzy set with multi-attribute policy making research business management. Using multi-criteria decision making (MCDM) perspective and study concisely focuses on, how to use an evaluative criteria models imprecise market information by evaluative criteria design software and originality of the synthesis in multi-criteria decision making (MCDM), and search product model’s software capacity to obtain optimal of solution. Let 3-D product information of display perspective, perspective researches new product development by using 3-D computer graphics information display systems in product of picture image.
Recently, research of product development for enhancing industry business excellence is facing the challenge of globalization, then, creative product development and customer consumption satisfaction are keys for growth of an enterprise. Hence, in product development competition, apply product technological innovation, and successfully achieve the good goals of delicate and creative design. So, enhancing industry business excellence study establishes trend in product development, observes customer demand, controls innovation, and stimulates design ability. Lastly, in cases study, it achieves product development goal of user’s satisfaction toward industry business excellence.
REFERENCES
Aburas, M., “An integrated performance management framework for a multi-business company,South Afr. J. of Industrial Engineering. Vol.1, No.21, pp.35-43, 2010.
Botha, GJ. and Van Rensburg, AC., “Proposed business process improvement model with integrated customer experience management,South Afr. J. of Industrial Engineering. Vol.1, No.21, pp.45-57, 2010.
Chiou, HK. and Tzeng, GH., “Fuzzy Multiple-Criteria Decision-Making Approach for Product Design Decision Flow, Springer -Veriag New York Inc, 2002.
Collins, L., “Nokia to Give Away Ideas and Innovations,Res. Technol. Manage., Vol.52, No.5, pp.19-32, 2010.
Carlos, R., “A general structure of achievement functions for a goal programming model,European Journal of Operation Research, Vol.3, No.153, pp.675-686, 2004.
Collins, L., “Recession Pushing Innovation in New Directions,Research Technology Management, Vol.2, No.52, pp.35-39, 2010.
David, A. and Allson, B., “Innovation, creativity and governance: Social dynamics of economic performance in city-regions, Innovation Managemen Policy and Practice,Vol.2, No.10, pp.170-182, 2008.
Daniel, O. and Christian, B., “Managing uncertain, complex product development in high-tech firms: in search of controlled flexibility,R＆D Manage., Vol.40, No.4, pp.383-399, 2010.
Erasmus, PV. and Waveren, CC., Evaluation of quality concepts influencing a manufacturing environment in SOUTH AFRICA,South Afr. J. of Industrial Engineering November. Vol.2, No.20, pp.93-105. 2009.
Guus, B. Dap, H. and Paul, T., “Connecting technological capabilities with market needs using a cyclic innovation Model,RD Manage., Vol.40, No.5, pp. 475-490, 2010.
Holger, S., “Early supplier integration: the dual role of purchasing in new product development,R＆D Manage., Vol.40, No.2, pp.138-153, 2010.
Huang, J. Tzeng, G. and Ong, C., “Optimal fuzzy multi-criteria expansion of competence sets using multi-objectives evolutionary algorithms,Expert Systems with Application, Vol.2, No.30, pp.739-745, 2006.
Hu, Y.C. Chen, R.S. Tzeng, G.H., and Yu, J. C., “Acquisition of Compound Skills and Hirotaka, N., Yun, Y., Asada, T., Yoon, M., 2005. MOP/GP models for machine learning,European Journal of Operation Research, Vol.3, No.166, pp.756-768, 2003.
Igartua, J.I. Garrigos, J.A. and Jose, H.O., “How Innovation Management Techniques Support an Open Innovation Strategy,Research Technology Management, Vol.3, No.53, pp.41-52, 2010.
Illier, S.F. and Lieberman, J.G., “Introduction to Operations Research,Fuzzy Sets and Systems. Vol.1, No.39, pp.27-41, 1996.
John, B. Bettina, V.S. Kathrin, M.M. and Neyer, A.K., “Backing outsiders: selection strategies for discontinuous innovation,R＆D Manage., Vol.40, No.4, pp. 345-356, 2010.
Jose, A.G. Noemi, Z. and Jaione, G., “New R＆D management paradigms: rethinking research and technology organizations strategies in regions,R＆D Manage., Vol.40, No.5, pp.435-454, 2010.
John, H., “Csiro: Partnering for the future,Innovation Managemen Policy and Practice, Vol.2, No.9, pp.146–158. 2007.
Judith, L., “SECTION 1: Innovation and the food industry volume,Innovation Managemen Policy and Practice, Vol.1, No.10, pp.2-3, 2008.
Jacinto, G. P. and Carlos, R., “Aggregation of partial ordinal rankings: an interval goal programming approach,Computers Operations Research, Vol.28, No.8, pp.827-834, 2001.
Juuso, L. Pekka, M. and Ahti, S., “Perference Programming for robust portfolio modeling and project selection,European Journal of Operational Research, Vol.181, No.3, pp.1488-1505, 2006.
Javid, A.A. and Davoudpour, H., “A new model for single facility location based on service level, South Afr. J. of Industrial Engineering. Vol.2, No.20, pp. 219-227, 2009.
Lee, S. and Kim, M., “Inter-technology networks to support innovation strategy:
An analysis of Korea’s new growth engines,Innovation Managemen Policy and Practice, Vol.1, No.12, pp.88–104, 2010.
Lin, C. Hsieh, M. and Tzeng, G., “Evaluating vehicle telematics system by using a novel MCDM techniques with dependence and feedback,Expert Systems with Applications, Vol.37, No.10, pp.6723-6736. 2010.
Lotan, T. and Koutsopoulos, HN., “Route choice in the presence of information using concepts from Fuzzy control and approximate reasoning,Transportation Planning and Technology. Vol.2, No.17, pp.113-126, 1992.
Liao, M.J. and Johnson. W.W., “Characterizing the effects of Droplines on Target Acquisition Performance on a 3-D Perspective Display,Human Factors, Vol.3, No.46, pp.476-496, 2004.
Lin, C.L. Chen, C.W. and Tzeng, G.H., “Planning the development strategy for the mobile communication package based on consumers’ choice preferences, Expert Systems with Applications, Vol.37, No.7, pp.4749-4760, 2010.
Mattia, B. Sergio, C. Federico, F. and Paolo, V., “Enabling open innovation in small-and medium-sized enterprises: how to find alternative applications for your technologies,R＆D Manage, Vol.40, No.4, pp.414-434, 2010.
Maura, M. Rodney, M. Brendan, G. and Kristel, M., “An exploratory study of Principal Investigator roles in UK University Proof-of-Concept processes: an Absorptive Capacity perspective,R＆D Manage, Vol.40, No.5, pp.455-473, 2010.
Min, H., “A multi-objective vehicle routing problem with soft time windows: the case of a public library distribution system,Socio-Economic Planning Science. Vol.3, No.25, pp.179-188, 1991.
Mote, J.M. and Olson, D.L., “A parametric approach to solving bicriterion shortest path problems. European J. of Operational Research. Vol.1, No.53, pp.81-92, 1991.
Narelle, K., “CSIRO and Australian innovation: a business commentary, Innovation Managemen Policy and Practice,Vol.2, No.9, pp.203-214, 2007.
Paul, K. Ian, M. and David, R., “Lost in translation? Building science and innovation city strategies in Australia and the UK, Innovation Managemen Policy and Practice,Vol.2, No.10, pp.211–223, 2008.
Pedro, S.C. and Manuel, J.V., “Measuring the return of quality investments. Total Quality Management ＆ Business Excellence,Vol.1, No.21, pp.21-42, 2010.
Sany, M.M. and Rushami, Z.Y., “The influence of top management commitment, process quality management and quality design on new product performance: A case of Malaysian manufacturers,Total Quality Management ＆ Business Excellence, Vol.3, No.21, pp.291-300, 2010.
Shyng, J.Y. Tzeng, G.H. and Wang, F.K., “Rough Set Theory in analyzing the attributes of combination values for the insurance market,Expert Systems with Applications, Vol.57, No.1, pp.87-105, 2005.
Salo, A.A., “On Fuzzy ratio comparisons in hierarchical decision models, Fuzzy Sets and Systems. Vol.1, No.84, pp.21-32, 1994.
Singh, N. and Mohanty, B.K., “A Fuzzy approach to multi-objective routing problem with application to process planning in manufacturing systems, International J. of Production Research. Vol.39, No.6, pp.1161-1170, 1991.
Tzeng, G. Chiang, C. and Li, C., “Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL, Expert systems with Applications, Vol.4, No.32, pp.17, 2007.
Tzeng, GH. Chiang, CH. and Li, CW., “Evaluating intertwined effects in e-leaning programs: A novel hybrid MCDM model based on factor analysis and dematel,Expert System with Applications, Vol.4, No.32, pp.115-119, 2006.
Teng, J.Y. and Tzeng, G.H., “Fuzzy multicriteria ranking of urban transportation investment alternatives,Transportation Planning and Technology. Vol.1, No.20, pp.15-31, 1996.
Teodorovic, D., “Fuzzy sets theory applications in traffic and transportation, European J. of Operational Research. Vol.3, No74, pp.379-390, 1994.
Teodorovic, D. and Kikuchi, S., “Application of Fuzzy set theory to the savings based vehicle routing algorithm,Civil Engineering Systems. Vol.2, No.8, pp.87-93, 1991.
Uys, J.W. Schutte, C.S.L. and Esterhuizen, D., “Trends in a South African industial engineering research journal: A textual information analysis perspective, South Afr. J. of Industrial Engineering, Vol.1, No.21, pp.1-16, 2010.
Van, LHE., “A bi-criteria heuristic for the vehicle routing problem with time window,European J. of Operational Research, Vol.2, No.36, pp.217-226, 1988.
Van, LPJ. and Pedrycz, W., “A Fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems,Vol.1, No.11, pp.229-241, 1983.
Wang, MY. Chang, DS. and Kao, CH., “Identifying technology trends for R＆D planning using TRIZ and text mining,R＆D Manage, Vol.40, No.5, pp.491- 500, 2010.
William, K.K. and Michael, J.S., “Psychophysical assessments of image-sensor fused imagery,Publish Information, Vol.44, No.2, pp.257-271, 2002.
Wu, C.H. Tzeng, GH. Goo, Y.J. and Fang, W.C., “A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy, Expert systems with applications, Vol.32, No.2, pp.398-408, 2007.
William, K.K. and Michael, J.S., “Psychophysical assessments of image-sensor fused imagery,Publish Information, Vol.44, No.2, pp.257, 2002.
Wan, A.C. and Tung, C. H., “The impact of human resource capabilities on internal customer satisfaction and organizational effectiveness,Total Quality Management ＆ Business Excellence, Vol.6, No.21, pp.633-648, 2010.
Wang, C.H. Chin, Y.C. and Tzeng, G.H., “Mining the R＆D innovation performance processes for high-tech firms based on rough set theory,Technovation, Vol.7, No.30, pp.447-458, 2010.
Yeboon, Y. Hirotaka, N. and Masao, A., “Generation of Pareto Frontiters Using Support Vector Machine,MCDM 2004 Whistler, B.C., Canada, Vol.8, No.6-11, 2004.
Yun, Y.B. Nakayama, H. and Arakawa, M., “Multiple criteria making with generalized DEA and an aspiration level method,European Journal of Operational Research, Vol.158, No.3, pp.697-706, 2004.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE

臺灣人文及社會科學引文索引資料庫

目前上線人數：846（臺灣：838，外國：8） ／ 本年度總使用人次：1908780 ／ 訪客人次（自102年09月）：67711441
國家圖書館著作權聲明 Copyright © 2013 All rights reserved.
本館地址: 100201臺北市中山南路20號． 本館地圖及交通資訊．
總機：(02)23619132．最佳瀏覽解析度為1024x768以上