簡易檢索 / 詳目顯示

研究生: 廖世忠
Liao, Shih-Chung
論文名稱: 產品開發及強化產業經營競爭力之研究
A Study of Product Development for Enhancing Industry Business Excellence
指導教授: 蕭世文
Siao, Shih-Weu
林銘泉
Lin, Min-Chang
學位類別: 博士
Doctor
系所名稱: 規劃與設計學院 - 工業設計學系
Department of Industrial Design
論文出版年: 2012
畢業學年度: 100
語文別: 英文
論文頁數: 115
中文關鍵詞: 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
外文關鍵詞: Product development, Fuzzy theory, Grey theory, Multi-criteria decision making, 3-D information display, Business excellence
相關次數: 點閱:105下載:5
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 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.

    Abstract (Chinese)...............................................I Abstract (English)..............................................II Table of Contents...................................... V List of Tables ........................................ X List of Figures ...................................... XI Chapter I Introduction..................................1 1.1 Research background ................................1 1.2 Problem statements..................................2 1.3 Scope of this dissertation..........................3 1.4 Organization of this dissertation...................4 Chapter II Literature review............................6 2.1 Customer-oriented product development...............6 2.2 Measurement for creativeness........................7 2.2.1 Fuzzy sets and Grey system theories...............8 2.2.2 Affective product design..........................9 2.2.3 Product innovation modeling......................10 2.2.4 Creation product and competitor's difference value .......................................................12 2.3 Multi-goal decision making for optimal benefit.....13 2.4 Multi-criteria decision for enterprises’ reforms...13 2.4.1 Customer consumption satisfaction................14 2.4.2 Creating product of optimizing design............14 2.5 Innovation product management of policy and practice .......................................................15 2.5.1 Concept development of evolutionary innovative design.................................................15 2.5.2 Building strategically system for product development............................................16 Chapter III Product development of identifying management methods................................................17 3.1 Product development of origins..................17 3.2 Product creativeness...............................18 3.3 Product development of objective...................18 3.4 Product development of design process..............20 3.4.1 Product developments of process factors....21 3.4.2 Multi-goal decision of process...................22 3.4.3 Multi-criteria decision making of process........23 3.4.4 Innovation of product policy and practice process24 3.5 Product development of decision system.............26 3.5.1 Product development of management system.........26 3.5.2 Multi-goal decision system.......................28 3.5.3 Multi-criteria decision making system............33 3.5.4 Innovation product policy and practice system....35 3.6 Identifying product development of management methods .......................................................37 3.6.1 Fuzzy theory.....................................38 3.6.2 Grey theory......................................40 3.6.3 Evaluative criteria software.....................41 3.6.4 Multi-goal decision method.......................44 3.6.5 Using a linear programming method................45 3.6.6 Multi-criteria decision making method............46 3.7 Building multi-criteria decision making of business excellence.............................................48 3.7.1 Finally achieve product crucial goal.............48 3.7.2 Innovation product developments of management decision...............................................49 3.8 Pursuing customer’s of the biggest benefit and solves customer problem.......................................50 Chapter IV Creating optimal value of results for prod.uct development............................................51 4.1 Problem description................................51 4.1.1 Traditional industries of product development problem................................................51 4.1.2 Traditional industries of promotes market problem................................................53 4.2 Product development of solution problem method.....53 4.2.1 Creativeness origins.............................53 4.2.2 Product in market position.......................54 4.2.3 Product of development plan and time management..55 4.2.4 Product of quality...............................55 4.2.5 Customer in product demand.......................56 4.2.6 Product of competition strategies................56 4.2.7 Using Fuzzy and Grey theory......................56 4.3 Product development of solution results in management decision...............................................57 4.3.1 Evaluation of product development of management decision factors.......................................58 4.3.2 Using Fuzzy theory of results....................61 4.3.3 Using Grey theory of results.....................62 4.3.4 Traditional product development of results.......65 4.3.5 Traditional and innovation product of goal results compares...............................................65 4.4 Product development of results in decision making and business excellence....................................66 4.5 Industry development for enterprises product competitive............................................67 Chapter V Robust product development for industry business excellence.............................................68 5.1 Traditional and multi-criteria decision of product design compares........................................68 5.2 Evaluative criterion for different products in market.................................................69 5.3 Using evaluative criteria software for optimal product solution...............................................70 5.3.1 Expression products models of rank...............72 5.3.2 Evaluative product design of synthetic utilities..............................................72 5.3.3 Different product department of optimal values...73 5.3.4 Evaluative criteria software to customer feeding.74 5.4 Multi-goal decision for product optimal values ....75 5.4.1 Traditional and multi-goal decision of values compares...............................................77 5.4.2 Traditional of business management in market.....78 5.4.3 Traditional and multi-goal decision of max profit compares...............................................79 5.5 Multi-criteria decision making for product optimal decision...............................................79 5.5.1 Traditional and multi-criteria decision making of decision compares......................................82 5.5.2 Multi-criteria decision making of optimal business value..................................................83 Chapter VI Cases study.................................85 6.1 Case study 1: Mobile-phones of product development............................................85 6.1.1 Analysis of customer task of problem.............86 6.1.2 Concept development of product design.................................................86 6.1.3 Expression in mobile-phones activity modes.......86 6.1.4 Determining of evaluating criteria of designed mobile-phones..........................................87 6.1.5 Evaluating criteria methods for designed mobile-phones.................................................88 6.1.6 Calculating synthetic utilities..................89 6.1.7 Innovative product design for policy management..91 6.1.8 Create optimal value for practice management.... 93 6.1.9 Innovation of product practice...................94 6.1.10 Enhancing industry business excellence of results............................................... 95 6.2 Case study 2: Industry business excellence.........97 6.2.1 Evaluative criteria of product modes problem.....97 6.2.2 Using evaluative criteria software of evaluative results................................................97 6.2.3 Calculating product index of results.............98 6.2.4 3-D information display of results for customer requirements...........................................98 Chapter VII Summary and conclusions...................100 References............................................109 List of Tables Table 3.1 Evaluative criteria software.................42 Table 3.2 A companies linear of programming model......46 Table 4.1 24 enterprises’ samples to statistical.......60 Table 4.2 Product weights..............................62 Table 4.3 Traditional and innovation product of goal results compares.......................................66 Table 5.1 Products evaluative criteria of sale score...71 Table 5.2 Evaluative 1~6 different products department of sale...................................................73 Table 5.3 1~6 different products department of optimal values.................................................74 Table 5.4 Traditional of business management in past market.................................................78 Table 5.5 Products evaluative criteria of sale score.. 80 Table 5.6 Normalized decision matrix...................80 Table 5.7 Traditional decision matrix..................83 Table 6.1 Mobile-phones brand and feature..............87 Table 6.2 Innovative designed mobile-phones for evaluating criteria...............................................88 Table 6.3 Evaluating criteria of designed mobile-phones.................................................89 Table 6.4 Consumers preference of products.............90 Table 6.5 Number of descriptions supplied in each customer group..................................................91 Table 6.6 Calculating mobile-phones of synthetic utilities..............................................92 Table 6.7 Results of innovative product designs for innovative management..................................95 List of Figures Figure 1.1 Research organization frameworks..............................................5 Figure 3.1 Product development of decision process.....20 Figure 3.2 Integrated processes........................21 Figure 3.3 Product developments of management decision factors................................................22 Figure 3.4 Multi-goal of decision process..............23 Figure 3.5 Multi-criterion decisions of making process.24 Figure 3.6 Innovation of product policy and practice process................................................25 Figure 3.7 Product development of management system....26 Figure 3.8 Multi-goal decision systems.................29 Figure 3.9 Multi-criteria decision making system.......33 Figure 3.10 Innovation product policy and practice system.................................................35 Figure 3.11 Product of optimal values..................45 Figure 3.12 TOPSIS of ideal solution...................47 Figure 4.1 Traditional industries for product development............................................52 Figure 4.2 Assessment experienced in the past promotes market.................................................53 Figure 4.3 Product development of business excellence..67 Figure 5.1 Traditional and multi-criteria decision of product design.........................................69 Figure 5.2 Expression products models of rank..........72 Figure 6.1 Purchase mobile-phones......................86 Figure 6.2 Result of creative optimal value for policy management.............................................93 Figure 6.3 Enhancing industry business excellence of results................................................96

    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.

    下載圖示 校內:2017-07-24公開
    校外:2017-07-24公開
    QR CODE