簡易檢索 / 詳目顯示

研究生: 李登翔
Teng-Hsiang Lee
論文名稱: 基於混合多準則決策架構之模具供應商評估與改善策略
The Hybrid MCDM Framework Based Mold Supplier Evaluation and Improvement Strategy Definitions
指導教授: 黃啟祐
Huang, Chi-Yo
學位類別: 碩士
Master
系所名稱: 工業教育學系
Department of Industrial Education
論文出版年: 2013
畢業學年度: 101
語文別: 英文
論文頁數: 79
中文關鍵詞: 決策實驗分析法分析網路流程法多準則決策架構供應商評估模具
英文關鍵詞: DEMATEL, ANP, MCDM, Supplier Evaluation, Mold
論文種類: 學術論文
相關次數: 點閱:207下載:0
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
  • 近二十年來,3C(通訊、電腦、消費性電子產品)為技術創新推動康德拉捷夫長波(Kondratiev wave)的最主要推力,而模具供應商是資訊科技設備專業代工廠(OEM)供應鏈中最重要的元素,模具費用佔產品開發資本支出比例極高,且3C產業發展快速,產品生命週期時間短,模具供應商若不能與時俱進,將無法提供良好設備與零組件供生產線組裝,故資訊科技設備專業代工廠必需對合格之模具廠商定期評核,持續改善或淘汰不良的供應商,以維持高品質的模具設備與零組件供應,並進而生產優質的產品。雖然模具供應商之評估非常重要,但之前少有學者針對模具供應商進行評估並訂定改善策略,為達成模具供應商評估與訂定改善策略之目的,本研究將訂定一混合多準則決策(MCDM)的架構,先進行文獻回顧以收集評估供應商可能的構面與評估的準則,並邀集3C專業代工廠商的資深機構設計經理人進行問卷調查,以修正式德菲法針對文獻回顧的結果歸納出評估構面以及準則,再以決策實驗室分析法(DEMATEL)求取模具供應商各個評估準則互相影響因果關係以建立決策問題架構,再運用分析網路流程法(ANP)求取各評估構面與準則的權重,進行評估與排序,以次世代筆電模具供應商之評估為實證對象,實證分析以暸解供應商合格與否的關鍵因素,評估數個供應商並挑選最適者,但是選定的供應商不是每個準則都是最好的,我們可以針對供應商的弱項進行改善的策略以提昇其能耐,研究結果將可作為筆電代工廠未來評估模具供應商之參考,並作為模具供應商改善之策略。

    In these two decades, the innovation of 3C (communication, computer and consumer electronic products) technology becomes the major force in the long wave of the global economic growth (Kondratiev wave). Molding suppliers are one of the most important elements for manufacturing information technology (IT) products for Original Equipment Manufacturer (OEM). The cost of starting a new mold has grown higher in the total expense in the product development process. Due to fast 3C product development and the short product life-cycle, mold suppliers must improve the core technology in order to provide good service to OEM. In addition, it is also important for OEM to constantly evaluate current mold suppliers so that OEM can confirm the quality of suppliers and terminate contract with the unqualified ones. This ensures that contracted suppliers can provide mechanical components with stable quality. However, important as this evaluation should be, there are very few researchers who have investigated mold suppliers to provide improvement strategies. This study will use the hybrid Multiple Criteria Decision Making (MCDM) as framework to approach mold supplier evaluation with the objective to provide improvement strategies. Through literature review several criteria for supplier selection and evaluation are identified. Then a group of senior mechanical design managers who work for Taiwan 3C OEM are invited to complete the questionnaire. This study induces evaluation dimensions and criteria by using the modified Delphi method. The multiple criteria decision making (MCDM) is a framework which consists of the Decision Making Trial and Evaluation Laboratory (DEMATEL) as the tool to configure decision problem structure for mold suppliers. Analytical Network Process (ANP) is a tool to calculate and rank the weights of each criterion. The evaluated object is the notebook mold suppliers, and the current analysis identifies the key qualification factors for suppliers. However, the selected suppliers might not be the finest in each criterion. The study further provides improvement suggestions regarding the weakness in order to increase the competence of mold suppliers. This study can be referenced in the future for OEM evaluation, and furthermore, it provides improvement strategies for mold suppliers.

    中文摘要 i Abstract ii Table of Contents iv List of Tables v List of Figures vi Chapter 1 Introduction 1 1.1 Background 1 1.2 Motivations and Research Problems 4 1.3 Objectives 5 1.4 Research Methods and Procedure 5 1.5 Research Contributions and Limitations 7 1.6 Research Structures 7 Chapter 2 Literature Review 8 2.1 Supplier Chain Management 8 2.2 Supplier Evaluation and Selection 9 2.3 The Mold Industry and the Supply Chain 15 Chapter 3 Research Methodology 18 3.1 The Analytical Process 18 3.2 Modified Delphi 18 3.3 The DEMATEL Method 19 3.4 The Analytic Network Process (ANP) Method 23 3.5 DEMATEL based Network Process (DNP) Technique 28 3.6 VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) 33 3.7 Criterion Definitions 36 Chapter 4 Empirical Study 38 4.1 Decision Structure Derivations by Delphi 38 4.2 Empirical Study on a Taiwanese IT vendor Based on the ANP Method 41 4.3 Compromise Ranking by VIKOR 49 4.4 Mold industrial market 54 Chapter 5 Discussions 57 Chapter 6 Conclusions 61 References 63 Appendix A: Questionnaire 73

    Aitken, J., Childerhouse, P. and Towill, D. (2003). The impact of product life cycle on supply chain strategy. International Journal of Production Economics, 85(2), 127-140.
    Altan, T., Lilly, B.W., Kruth, J.P., König, W., Tönshoff, H.K., van Luttervelt, C.A. and Khair, A.B. (1993). Advanced Techniques for Die and Mold Manufacturing. CIRP Annals - Manufacturing Technology, 42(2), 707-716.
    Amid, A., Ghodsypour, S. H. and O’Brien, C. (2009). A weighted additive fuzzy multiobjective model for the supplier selection problem under price breaks in a supply Chain. International Journal of Production Economics, 121(2), 323-332.
    Armstrong, G. and Kotler, P. (2000). Marketing: an introduction. Upper Saddle River.NJ: Prentice Hall.
    Assael, H. (1993). Marketing: principles and strategy. (2nd ed.). Forth Worth: Dryden Press.
    Awaysheh, A. and Klassen, R. D. (2010). The impact of supply chain structure on the use of supplier socially responsible practices. International Journal of Operations & Production Management, 30(12), 1246-1268.
    Ballow, R.H. (1999). Business logistics management. NewYork:Prentice-Hall.
    Bauer, H. H. and Fischer, M. (2000). Product life cycle patterns for pharmaceuticals and their impact on R&D profitability of late mover products. International Business review, 9(69), 703-725.
    Birou, L., Fawcett, S. E. and Magnan, G. M. (1997). Integrating Product Life Cycle and Purchasing Strategies. International Journal of Purchasing and Materials Management, 33(1), 23-31.
    Boer, L., Labro, E. and Morlacchi P. (2001). A review of methods supporting supplier selection. European Journal of Purchasing and Supply Management, 7(2), 75-89.
    Bolaňos, R., Fontela, E., Nenclares, A. and Pastor, P. (2005). Using interpretive structural modeling in strategic decision-making groups. Management Decision, 43(6), 877-895.
    Boljanovic, V. (2004). Sheet metal forming processes and die design. NewYork:Industrial Press Inc.
    Boran, F. E., Genç, S., Kurt, M. and Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 36(8), 11363-11368.
    Braglia, M. and Petroni, A. (2000). A quality assurance-oriented methodology for handling trade-offs in supplier selection. International Journal of Physical Distribution and Logistics Management, 30(2), 96-112.
    Broome, B. J. (2002). Giving voice to diversity: an interactive approach to conflict management and decision-making in culturally diverse work environments. Journal of Business and Management, 8(3), 239-264.
    Cebeci, U. (2001). Customer satisfaction of catering service companies in Turkey. Proceedings of the 6th International Conference on ISO 9000 and TQM, 519-524.
    Chao, C., Scheuning, E. E., Dubas, K. M. and Mummalaneni, V. (1993). An assessment of supplier selection: Chinese purchasing managers’ criteria and their implications for Western marketers. International Journal of Physical Distribution and Logistics Management, 23(8), 31-37.
    Chen, Y. C., Lien, H. P. and Tzeng, G. H. (2010). Measures and Evaluation foe environment watershed plans using a novel hybrid MCDM model. Expert System with Applications, 37(2), 926-938.
    Chen, Y. J. (2011) Structured methodology for supplier selection and evaluation in a supply chain. Information Sciences, 181(9), 1651-1670.
    Chiu, W. Y., Tzeng, G. H. and Li, H. L. (2010). Advances in Intelligent Decision Technologies: Proceedings of the second KES International Symposium IDT 2010. Chennai, India:Scientific Publishing Services Pvt. Ltd,
    Chiu, Y. J., Chen, H. C., Tzeng, G. H. and Shyu, J. Z. (2006). Marketing strategy based on customer behaviour for the LCD-TV. International Journal of Management and Decision Making, 7(2/3), 143-165
    Choi, T. Y. and Hartley, J. L. (1996). An exploration of supplier selection practices across the supply chain. Journal of Operations Management, 14(4), 333-343.
    Choy, K. L. and Lee W. B. (2002). On the development of a case-based supplier management tool for multinational manufacturers. Measuring Business Excellence, 6(1), 15-22.
    Chryssolouris, G. (2006). Manufacturing systems: theory and practice. (2nd ed.). New York:Springer Science+Business Media, Inc.
    Demirtas, E.A. and Üstün Ö. (2008). An integrated multi-objective decision making process for supplierselection and order allocation. OMEGA – International Journal of Management Science. 36 (1), 76–90
    Dempsey, W. A. (1978). Vendor selection and the buying process. Industrial Marketing Management, 7(4), 257–267.
    Dickson, G. W. (1966). An analysis of supplier selection systems and decisions. Journal of Purchasing, 2(1), 5–17.
    Directorate General of Customs, Ministry of Finance, Taiwan (2012) http://www.customs.gov.tw/StatisticWeb/StatisticsInformation.aspx
    Dowlatshahi, S. (2000). Designer-buyer-supplier interface: theory versus practice. International Journal of Production Economics, 63(2), 111-130.
    Evans, R. H. (1981). Product involvement and industrial buying. Journal of Purchasing and Materials Management,17(2), 23–28.
    Fallböhmer, P., Altan, T., Tönshoff, H.-K. and Nakagawa, T. (1996). Survey of the die and mold manufacturing industry - practices in Germany, Japan, and the United States. Journal of Materials Processing Technology, 59(1-2), 158-168.
    Feng, C.-X., Wang, J. and Wang, J.-S. (2001). An optimization model for concurrent selection of tolerances and suppliers. Computers & Industrial Engineering 40(1-2), 15-33.
    Fisher, M.L. and Raman, A. (1996). Reducing the cost of demand uncertainty through accurate response to early sales. Operations Research, 44(1), 87–99.
    Gabus, A. and Fontela, E. (1972). World problems, an invitation to further thought within the framework of DEMATEL battelle institute. Geneva Research Centre, Geneva, Switzerland.
    Ganeshan, R., Tyworth, J. E. and Guo, Y. (1999). Dual sourced supply chains: the discount supplier option. Transportation Research Part E, 35, 11-23.
    Garvey, E. B. (1997). On-line quality control of injection molding using neural networks. Master’s thesis, Appl. Sci. Inf. Technol., Dept. Comput. Sci., Royal Melbourne Inst. Technol., Melbourne, Vic., Australia.

    Garvey, E. B. (1997). On-line quality control of injection molding using neural networks. Master’s thesis, Appl. Sci. Inf. Technol., Dept. Comput. Sci., Royal Melbourne Inst. Technol., Melbourne, Vic., Australia.
    Gencer, C. and Gürpinar, D. (2007). Analytic network process in supplierselection: A case study in an electronic firm. Applied Mathematical Modeling. 31(11), 2475-2486
    Ghodsypour, S. H. and O'Brien C. (2001). The total cost of logistics in supplier selection. under conditions of multiple sourcing. multiple criteria and capacity constraint. International Journal of Production Economics, 73(1), 15-27.
    Gosling, J., Purvis, L. and Naim, M. M. (2010). Supply chain flexibility as a determinant of supplier selection. International Journal of Production Economics, 128(1), 11-21.
    He, W., Zhang, Y. F., Lee, K. S. and Liu, T. I. (2001). Development of a Fuzzy-Neuro System for Parameter Resetting of Injection Molding. Journal of Manufacturing Science and Engineering, 123(1), 110-118.
    Ho, W., Xu, X. and Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202(1), 16-24.
    Huang, C. Y., Shyu, J. Z. and Tzeng, G. H. (2007). Reconfiguring the Innovation Policy Portfolios for Taiwan's SIP Mall Industry. Technovation, 27(12), 744-765.
    Huang, J. J., Tzeng, G. H. and Ong, C. S. (2005). Multidimensional data in multidimensional scaling using the analytic network process. Pattern Recognition Letters, 26(6), 755-767.
    Huang, J. M., Jou, Y. T., Zhang, L. C., Wang, S. T. and Huang, C. X. (2009). A web-based model for developing: A mold base design system. Expert Systems with Applications, 36(4), 8356-8367.
    Huang, J. J., Tzeng, G. H. and Ong, C. S. (2005). Multidimensional data in multidimensional scaling using the analytic network process. Pattern Recognition Letters, 26(6), 755–767.

    Ittner, C. D., Larcker, D. F., Nagar, V. and Rajan, M. V. (1999). Supplier selection. monitoring practices. and firm performance. Journal of Accounting and Public Policy, 18(3), 253-281.
    Kahraman C., Cebeci, U. and Ruan, D. (2004). Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey, International Journal of Production Economics. 87(2)171-184
    Kahraman, C., Cebeci, U. and Ulukan Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics Information Management, 16(6), 382-394.
    Karataş, Ç., Sözen, A., Arcaklioğlu, E. and Ergüney, S. (2007). Modelling of yield length in the mould of commercial plastics using artificial neural networks. Materials and Design, 28(1), 278–286.
    Kazmer, D. (2007). Injection Mold Design Engineering. Munich:Hanser Verlag.
    Kobayashi, S., Mikoshiba, S. and Lim, S. (2009). LCD backlights. United Kingdom:John Wiley & Sons.
    Kokangul, A. and Susuz, Z. (2008). Integrated analytical hierarch process andmathematical programming to supplier selectionproblem with quantity discount. Applied Mathematical Modelling, 33(3), 1417-1429.
    Kondratieff, N. D., Stolper, W. F. (1935). The Long Waves in Economic Life. The Review of Economic Statistics, 17(6), 105-115.
    Krause, D.R. and Ellram, L.M. (1997). Critical elements of supplier development. European Journal of Purchasing & Supply Management. 3(1), 21–31
    Kull, T.J. and Talluri, S. (2008). A Supply Risk Reduction Model Using Integrated Multicriteria Decision Making . IEEE Transactions on Engineering Management, 55(3), 409 – 419
    Lee, H.L., Padmanabhan, V. and Whang, S. (1997). Information distortion in a supply chain: The bullwhip effect. Management Science, 43(2), 546-558.
    Lehmann, D. R. and O’Shaughnessy, J. (1974). Difference in attribute importance for different industrial products. Journal of Marketing, 38(2), 36-42.
    Lehmann, D. R. and O’Shaughnessy, J. (1982). Decision criteria used in buying different categories of products. Journal of Purchasing and Materials Management, 9-14.

    Li, C. W. and Tzeng, G. H. (2009). Identification of a threshold value for the DEMATEL method using the maximum mean de-entropy algorithm to find critical services provided by a semiconductor intellectual property mall. Expert Systems with Applications An International Journal, 36(6), 9891-9898.
    Li, M., Wang, J., Wong, Y. S., Lee, K. S. (2005). A collaborative application portal for the mould industry. International Journal of Production Economies, 96(2), 233-247.
    Li, X., Hu, B. and Du, R. (2008). Predicting the Parts Weight in Plastic Injection Molding Using Least Squares Support Vector Regression. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applictions and Reviews, 38(6), 827-833.
    Lin, C. L., Hsieh, M. S. and Tzeng, G. H. (2010). Evaluating vehicle telematics system by using a novel MCDM techniques with dependence and feedback. Expert System with Applications, 37(10), 6723-6736
    Liou, J. J. H., Tzeng, G. H. and Chang, H. C. (2007). Airline safety measurement using a hybrid model. Journal of Air Transport Management, 13(4), 243-249.
    Liu, J., Ding, F.-Y. and Lall, V. (2000). Using data envelopment analysis to compare suppliers for supplier selection and performance improvement. Supply Chain Management: An International Journal, 5(3), 143–150.
    Liu, J., Ding, F.Y. and Lall, V. (2000). Using data envelopment analysis to compare suppliers for supplier selection and performance improvement. Supply Chain Management: An International Journal, 5(3), 143-150.
    Liu, P. and Zhang, X. (2011). Research on the supplier selection of a supply chain based on entropy weight and improved ELECTRE-III method. International Journal of Production Research, 49(3), 637-646.
    Masella, C. and Rangone, A. (2000). A contingent approach to the design of vendor selection systems for different types of co-operative customer/supplier relationships. International Journal of Operations and Production Management, 20(1), 70-84.
    Matthyssens, P. and Faes, W. (1985). OEM buying process for new components: Purchasing and marketing implications. Industrial Marketing Management, 14(3), 145–157.
    Mohr, J., Sengupta, S. and Slater, S. (2011). Marketing of High-Technology Products and Innovations. (3rd ed.). New Jersey:Pearson Education, Inc.
    Moinzadeh, K. and Aggarwal, P.K. (1997). An information based multiechelon inventory system with emergency orders. Operations Research, 45(5), 694–701.
    Morgan, J. (2001). New survey finds big gap between rhetoric and reality. Purchasing, 130(22), 10-11.
    Motwani, J., Youssef, M., Kathawala, Y. and Futch, E. (1999). Supplier selection in developing countries: a model development. Integrated Manufacturing Systems, 10(3), 154-162.
    Mummalaneni, V., Dubas, K. M. and Chao, C.-N. (1996). Chinese purchasing managers’ preferences and trade-offs in supplier selection and performance evaluation. Industrial Marketing Management, 25(2), 115-124.
    Muralidharan, C., Anantharaman, N. and Deshmukh, S. G. (2002). A Multi-Criteria Group Decisionmaking Model for Supplier Rating. The Journal of Supply Chain Management, 38(4), 22-33.
    Noci, G. (1997). Designing ‘green’ vendor rating systems for the assessment of a supplier’s environmental performance. European Journal of Purchasing and Supply Management, 3(2), 103-114.
    Noorul Haq, A. and Kannan, G. (2005). Fuzzy analytical hierarchy process for evaluating and selecting a vendor in a supply chain model. The International Journal of Advanced Manufacturing Technology, 29(7-8), 826-835.
    Nyaga, G. N., Whipple, J. M. and Lynch, D. F. (2010). Examining supply chain relationships: Do buyer and supplier perspectives on collaborative relationships differ? Journal of Operations Management, 28(2), 101-114.
    Partovi, F. Y., Burton, J. and Banerjee, A. (1990). Application of analytical hierarchy process in operations management. International Journal of Operations and Production Management, 10(3), 5-19.
    Prahinski, C. and Benton, W.C. (2004) Supplier evaluations: communication strategies to improve supplier performance. Journal of Operations Management, 22(1), 39-62

    Purdy, L., Astad, U., Safayeni, F. (1994). Perceived effectiveness of the automotive supplier evaluation process. International Journal of Operations and Production Management, 14(6), 91-103.
    Rees, H. (2002). Mold engineering. Munich:Hanser Verlag.
    Ronald, H. B. (1998). Business logistics management: Planning, organizing, and controlling the supply chain. (4th ed.). :Prentice Hall.
    Rosato, D. V., Rosato, D. V. and Rosato, M. G. (2000). Injection Molding Handbook. (3rd ed.). Norwell. MA.:Kluwer Academic Publishers.
    Saaty, T. L. (1980). The Analytic Hierarchy Process. New York:McGraw-Hill.
    Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. PA.: RWS Publication.
    Saaty, T. L. (2005). Theory and Applications of the Analytic Network Process - Decision Making with Benefits, Opportunities, Costs, and Risks. PA.: RWS Publications.
    Sarker, B. R. and Diponegoro, A. (2008). Optimal production plans and shipment schedules in a supply-chain system with multiple suppliers and multiple buyers. European Journal of Operational Research, 194(3), 753-773.
    SCC (1999). Overview of the SCOR Model V2.0. Supply Chain Council, Inc. http://supply-chain.org/
    Singh, P. J. and Power, D. (2009). The nature and effectiveness of collaboration between firms, their customers and suppliers: a supply chain perspective. Supply Chain Management: An International Journal, 14(3), 189-200.
    Srinivasan, K., Kekre, S. and Mukhopadhyay, T. (1994). Impact of electronic data interchange technology on JIT shipments. Management Science, 40(10), 1291-1304.
    Suchy, I. (1997). Handbook of die design. U.S.:McGraw-Hill.
    Swift, C. O. (1995). Preferences for single sourcing and supplier selection criteria. Journal of Business Research, 32(2), 105-111.
    Taiwan Mold and Die Industry Association (2012). http://www.tmdia.org.tw/en/export_import_output.asp
    Taiwan Mold and Die Industry Association. (2009). http://www.tmdia.org.tw/en/export_import_output.asp
    Tamura, H., Akazawa, K. and Nagata, H. (2002). Structural modeling of uneasy factors for creating safe, secure and reliable society. SICE System Integration Division Annual Conference. 330-340.
    Tamura, M., Nagata, H. and Akazawa, K. (2002). Extraction and systems analysis of factors that prevent safety and security by structural models. Presented at the 41st SICE Annual Conference, Osaka, Japan, 3(5-7), 1752-1759.
    Tzeng, G.H., & Huang, C.Y. (2012). Combined DEMATEL technique with hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems. Annals of Operations Research, 197(1), 159-190
    Ustun, O. and Demı˙rtas, E. A. (2008). An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection. Omega, 36(4), 509-521
    Vachon, S., Halley, A. and Beaulieu, M. (2009). Aligning competitive priorities in the supply chain: the role of interactions with suppliers. International Journal of Operations & Production Management, 29(4), 322-340.
    Vanteddu, G., Chinnam, R. B. and Gushikin, O. (2011). Supply chain focus dependent supplier selection problem. International Journal of Production Economics, 129(1), 204-216
    Verma, R. and Pullman, M. E. (1998). An Analysis of the Supplier Selection Process. Omega, 26(6), 739-750.
    Wadhwa, V. and Ravindran, A. R. (2007). Vendor selection in outsourcing. Computers & Operations Research. Computers & Operations Research, 34(12), 3725–3737
    Wang, G., Huang, S. H. and Dismukes, J. P. (2004). Product-driven supply chain selection using integrated multi-criteria decision-making methodology. International Journal of Production Economics, 91(1), 1-15
    Willis, T. H. and Huston, C. R. (1990). Vendor requirements and evaluation in a just-in-time environment. International Journal of Operations and Production Management, 10(4), 41-50.
    Wilson, E. L. (1994). The relative importance of supplier selection criteria: A review and update. International Journal of Purchasing and Materials Management, 30(3), 35-41.
    Wu, H. H. and Tsai, Y. N. (2011). A DEMATEL method to evaluate the causal relations among the criteria in auto spare parts industry. Applied Mathematics and Computation, 218(5), 2334-2342.
    Xu, X. Y. and Wang Y. Y. (2002). Multi-model technology and its application in the integration of CAD/CAM/CAE. Journal of Materials Processing Technology, 129(1-3), 563-567.
    Yeh, D. Y., Cheng, C. H. and Hsiao, S. C. (2011). Classification knowledge discovery in mold tooling test using decision tree algorithm. Journal of Intelligent Manufacturing, 22(4), 585-595.
    Zheng, R., Tanner, R. I. and Fan, X. J. (2011). Injection Molding: Integration of Theory and Modeling Methods. N.Y.:Springer.

    無法下載圖示 本全文未授權公開
    QR CODE