臺灣博碩士論文加值系統

工業4.0的相關興新技術為新的創新商業模式提供了潛力，發展個人化商品已成為企業全球化市場中競爭的重要要素，我們發現目前製造業皆以自我利益為中心，注重藉由工業4.0相關技術提高其「過程效率」，但要掌握工業4.0的潛力，還需要考慮採取新的商業模型來提高「整體終端流程效率」。已知製造技術不是企業創新商業模式及發展個人化商品的瓶頸，而需探討商業模式中影響整體效率的因素，例如供應鏈各個企業對於原料與物料供應商的採購議價能力、經濟訂購批量、採購前置時間與物流配送時間等因素，因為這些因素將創新商業模式的成功，造成企業個人化商品成本大幅提高且供應鏈體系運作更加複雜。因此，本研究參考工業4.0定義為由服務客戶驅動研發、供應鏈與生產，是整個系統或整個價值鏈的全生命週期管理與服務的虛實整合，提出個人化短交期供應的生態體系；此新的商業模型創新方法首先建立外觀導向產品模組化分析方法，滿足客戶個人化外觀需求；接續參考供應鏈運作參考模型(SCOR)架構及延遲策略提出一套由零售端三層運作模式組成的框架，透過各層級間銷售點形成近端供應鏈網絡，迅速供應、生產及配銷各類個人化產品。本研究同時驗證於運動鞋業的個人化產品外觀模組設計與供應鏈網路配置，亦針對三種不同層級的銷售端運作模式評估其成本效益，確實將個人化產品與價值服務落實於運動鞋業，提供創新產品與服務的運動鞋業個人化供應生態系統參考模型。

In the era of the developing concept of the Industry 4.0, and the widely used new technologies in the automated, unmanned and smart manufacturing factories, the personalized products have gradually become an important factor for enterprises to compete in the globalized market. Therefore, manufacturing technology is no longer the bottleneck for enterprises to develop the personalized products. Instead, the low-volume and diversified characteristics of personalized products, the raw material and material suppliers' purchasing and bargaining abilities, economic order quantities, and procurement lead time, and the time of logistics distribution have become the reasons that enterprises have significantly increased costs and made the supply chain system more complex when developing personalized products. This study refers the definition of the industry 4.0 to identify the goal of the enterprise is to provide services for the customers. The enterprise must start the research, development, supply chain, and production to integrate the entire life-cycle management and service of the entire value chain activities based on the customer’s needs.
In this study, the researcher has incorporated the appearance style into the components of the products and established a modular analysis methodology for the appearance-oriented product in order to meet the customers' personalized appearance needs. The researcher has continued to refer the structure of the Supply Chain Operation Test Model (SCOR) and the Delay Strategy to propose a retail-oriented framework of three-tier operation model. Taking into account the factors such as lead time, demand, and cost variables, the researcher has designed the optimized replenishment points, and establish a near-end supply chain network through various levels of sales points to quickly supply, produce and distribute the personalized products. This study also examines the design of the personalized product appearance modules and the configuration of the supply chain network in the sports shoe industry. It also evaluates the cost-effectiveness of the retail-oriented three-tier operation model. This study integrates the concepts of design, production, and virtual entity into the customer services, and applies these ideas to the development of the sports shoe industry, providing an innovative and personalized supply ecosystem test model.

摘 要 i
ABSTRACT ii
誌 謝 iv
目 錄 v
表目錄 viii
圖目錄 ix
第一章 緒論 1
1.1. 研究背景與動機 1
1.2. 研究目的 3
1.3. 研究限制 5
1.4. 研究範疇 5
第二章 文獻探討 7
2.1. 工業4.0的定義 7
2.2. BM商業模式定義 8
2.3. 大量個人化產品設計 9
2.3.1 大量個人化定義 9
2.3.2 大量個人化的製造與服務模式 11
2.3.3 大量個人化與大量客製化設計差異 15
2.3.4 大量個人化的設計架構與模組化設計 16
2.3.5 產品家族與模組化設計 18
2.4. 工業4.0與供應鏈關係 32
2.4.1 工業4.0與供應鏈關係的基礎認知 32
2.4.2 工業4.0考慮的四個供應鏈槓桿 33
2.5. 供應鏈協同製造模型 34
2.5.1 供應鏈定義 34
2.5.2 供應鏈協同製造 35
2.6. 供應鏈延遲策略 40
2.7. 供應鏈績效評估模型 43
2.7.1 層級1流程類型層級 44
2.7.2 層級2流程類型層級 45
2.7.3 層級3流程要素層級 46
2.7.4 層級4執行階層 46
第三章 研究步驟 48
3.1. 建立大量個人化供應鏈模型 49
3.2. 現階段供應鏈問題分析 49
3.2.1 存貨式生產無法因應少量多樣產品需求 49
3.2.2 客戶需求變異造成成本增加 50
3.2.3 新技術導入個人化製造模式的高成本管理議題 50
3.3. 對應問題之解決方案 50
3.3.1 供應鏈生態系架構 50
3.3.2 供應鏈平台系統整合與運作建議 51
3.3.3 三種層級的銷售端模型與雙向式多層規劃演算驗證 52
3.3.4 個人化外觀設計 59
3.4. 驗證規劃 60
第四章 運動鞋業個人短交期供應生態系設計 61
4.1 鞋業介紹 61
4.1.1 鞋業定義 61
4.1.2 產品特性 61
4.1.3 製造程序 64
4.2 建立現階段鞋業 SCOR 模型 71
4.2.1 鞋業供應鏈策略 71
4.2.2 分析鞋業供應鏈與建立 SCOR 模型 73
4.3 現階段供應鏈問題分析 77
4.3.1 以累積存貨滿足顧客需求的問題 77
4.3.2 客製化鞋款難以縮短交期問題 77
4.4 問題對應之解決方案 77
4.4.1 個人化外觀設計 78
4.4.2 個人化產品模組 78
4.4.3 外觀個人化模組設計的多目標規劃演算驗證 81
4.4.4 因應個人化外觀設計商品重新配置製造模式 91
4.4.5 三級銷售點重新定義供應鏈物流作業 91
4.4.6 三級銷售點重新配置供應鏈網絡 92
4.5 改善後個人短交期供應生態系 94
4.6 績效評估 96
4.6.1 零售點存貨成本模擬 96
4.6.2 零售點規模成本 98
4.6.3 運輸成本 99
第五章 結論與未來研究方向 101
5.1. 結論 101
5.2. 未來研究方向 101
參考文獻 102
附 錄 運動鞋款成本說明 117

1.J. MARGOLIS, "Made in England: why some manufacturing is coming home from China", Ft.com, 2017. [Online]. Available: https://www.ft.com/content/141418ba-88b1-11e7-afd2-74b8ecd34d3b. [Accessed: 05- Jan- 2020].
2.國務院關於印發《中國製造2025》的通知", 國務院, 北京市, 2015.
http://www.miit.gov.cn/n11293472/n11293877/n16553775/n16553792/16594486.html
3.Forschungsunion, acatech, "Recommendations for implementing the strategic initiative INDUSTRIE 4.0", Johannes Winter, Germany, 2013.
4.M. Hermann, T. Pentek and B. Otto, "Design principles for industrie 4.0 scenarios", in 49th Hawaii International Conference on System, 2016.
5.Y. Liao, F. Deschamps, E. Loures and L. Ramos, "Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal", International Journal of Production Research, vol. 55, no. 12, pp. 3609-3629, 2017. Available: 10.1080/00207543.2017.1308576.
6.C. Ramsauer, "Industrie 4.0-Die Produktion der Zukunft", WING business, vol. 3, no. 2013, pp. 6-12, 2013.
7.A. Pereira and F. Romero, "A review of the meanings and the implications of the Industry 4.0 concept", Procedia Manufacturing, vol. 13, pp. 1206-1214, 2017. Available: 10.1016/j.promfg.2017.09.032.
8.Australian Government / Department of Industry, Science, Energy and Resources, "Industry 4.0 Testlabs in Australia Preparing for the Future", 2017.
9.Anzahl der Erwerbstätigen in Deutschland nach Wirtschaftsbereichen im Jahr 2017. Technical University of Munich, 2017.
10.Verteilung der Bruttowertschöpfung* in Deutschland nach Wirtschaftszweigen im Jahr 2017. Technical University of Munich, 2018.
11.P. Gerbert et al., "Industry 4.0: the Future of Productivity and Growth in Manufacturing Industries", Boston Consulting Group, 2015.
12.C. Baur and D. Wee, "Manufacturing's Next Act", McKinsey & Company, 2015.
13.M. BLANCHET, T. RINN, A. DUJIN and C. GEISSLER, The Industrie 4.0 Transition Quantified. Munich: Roland Berger, 2016. https://www.rolandberger.com/de/Publications/pub_the_industrie_4_0_transition_quantified.html.
14.R. Rabetino, M. Kohtamäki and H. Gebauer, "Strategy map of servitization", International Journal of Production Economics, vol. 192, pp. 144-156, 2017. Available: 10.1016/j.ijpe.2016.11.004.
15.Z. Wei, X. Song and D. Wang, "Manufacturing flexibility, business model design, and firm performance", International Journal of Production Economics, vol. 193, pp. 87-97, 2017. Available: 10.1016/j.ijpe.2017.07.004.
16.C. Burmeister, D. Lüttgens and F.T. Piller, "Business Model Innovation for Industrie 4.0: Why the "Industrial Internet" Mandates a New Perspective on Innovation", Die Unternehmung, vol. 70, no. 2, pp. 124-152, 2016. Available: 10.5771/0042-059x-2016-2-124.
17.D. Kiel, C. Arnold and K. Voigt, "The influence of the Industrial Internet of Things on business models of established manufacturing companies – A business level perspective", Technovation, vol. 68, pp. 4-19, 2017. Available: 10.1016/j.technovation.2017.09.003.
18.D. Langley, J. van Doorn, I. Ng, S. Stieglitz, A. Lazovik and A. Boonstra, "The Internet of Everything: Smart things and their impact on business models", Journal of Business Research, 2020. Available: 10.1016/j.jbusres.2019.12.035.
19.N. Abdelkafi, S. Makhotin and T. Posselt, "Business model innovations for electric mobility—what can be learned from existing business model patterns?", International Journal of Innovation Management, vol. 17, no. 01, p. 1340003, 2013. Available: 10.1142/s1363919613400033.
20.C. Marante and R. Bohnsack, "Industry Business Model Patterns for Business Model Innovation–The Case of the Electricity Industry", Academy of Management Proceedings, vol. 2019, no. 1, p. 17031, 2019. Available: 10.5465/ambpp.2019.17031abstract.
21.S. Wischmann, L. Wangler, A. Botthof, "Industrie 4.0: Volks- und betriebswirtschaftliche Faktoren für den Standort Deutschland", Bundestministerium für Wirtschaft und Energie (BMWi), Berlin, 2015.
22.M. Böhm, J. Weking, F. Fortunat, S. Müller, I. Welpe, H. Krcmar, "The business model DNA: towards an approach for predicting business model success", Paper Presented at the International Conference on Wirtschaftsinformatik, St. Gallen, Switzerland, 2017.
23.O. Gassmann, M. Csik and K. Frankenberger, The business model navigator. Harlow: Pearson, 2014.
24.J. Weking, T. Böttcher, S. Hermes, A. Hein, "Does business model matter for startup success? A quantitative analysis", Paper Presented at the Twenty-Seventh European Conference on Information Systems (ECIS 2019), Stockholm-Uppsala, Sweden, 2019.
25.H. Chesbrough, "Business Model Innovation: Opportunities and Barriers", Long Range Planning, vol. 43, no. 2-3, pp. 354-363, 2010. Available: 10.1016/j.lrp.2009.07.010.
26.S. Schneider, "How to approach business model innovation: the role of opportunities in times of (no) exogenous change", R&D Management, vol. 49, no. 4, pp. 399-420, 2017. Available: 10.1111/radm.12302.
27.B.W. Wirtz, O. Schilke, S. Ullrich, "Strategic development of business models: implications of the Web 2.0 for creating value on the internet", Long. Range Plan., vol. 43, no. 2, pp. 272-290, 2010.
28.P. Jiang, Q. Zhu, "Product service system and its research progress", Manufacturing Automation, vol. 30, no. 12, pp. 10⁃17, 2008.
29.B. Kuijken, G. Gemser and N. M. Wijnberg, " Effective product-service systems: A value-based framework", Industrial Marketing Management, vol. 60, pp. 33-41, 2017.
30.Y.S. Kim, S.W. Lee, H. Jin, J.H. Shin, J.A. Park, Y.G. Lee, C.D. Kim, B.H. Seo and S.J. Lee, "Product-service systems (PSS) design process and design support systems", In Functional thinking for value creation, pp. 129-134, Springer, Berlin, Heidelberg, 2011.
31.M. Goedkoop, Product service systems, ecological and economic basics. [The Hague: Ministry of Housing, Spatial Planning and the Environment, Communications Directorate], 1999.
32.R. Roy, "Sustainable product-service systems", Futures, vol. 32, no. 3-4, pp. 289-299, 2000. Available: 10.1016/s0016-3287(99)00098-1.
33.R. Hernandez, "Sustainable Product-Service Systems and Circular Economies", Sustainability, vol. 11, no. 19, p. 5383, 2019. Available: 10.3390/su11195383.
34.E. Manzini and C. Vezzoli, "A strategic design approach to develop sustainable product service systems: examples taken from the ‘environmentally friendly innovation’ Italian prize", Journal of Cleaner Production, vol. 11, no. 8, pp. 851-857, 2003. Available: 10.1016/s0959-6526(02)00153-1.
35.A. Tukker and U. Tischner, "Product-services as a research field: past, present and future. Reflections from a decade of research", Journal of Cleaner Production, vol. 14, no. 17, pp. 1552-1556, 2006. Available: 10.1016/j.jclepro.2006.01.022.
36.M. Tseng, R. Jiao and C. Wang, "Design for mass personalization", CIRP Annals, vol. 59, no. 1, pp. 175-178, 2010. Available: 10.1016/j.cirp.2010.03.097.
37.Y. Hongo, K. Kaneko, Y. Kishita and Y. Umeda, "Proposal of a Workshop-based Design Method of Personalization Procedures", Procedia CIRP, vol. 80, pp. 21-26, 2019. Available: 10.1016/j.procir.2019.01.041.
38.K. Kaneko, Y. Kishita and Y. Umeda, "Toward Developing a Design Method of Personalization: Proposal of a Personalization Procedure", Procedia CIRP, vol. 69, pp. 740-745, 2018. Available: 10.1016/j.procir.2017.11.134.
39.F. Zhou, Y. Ji and R. Jiao, "Affective and cognitive design for mass personalization: status and prospect", Journal of Intelligent Manufacturing, vol. 24, no. 5, pp. 1047-1069, 2012. Available: 10.1007/s10845-012-0673-2.
40.C. Berry, H. Wang and S. Hu, "Product architecting for personalization", Journal of Manufacturing Systems, vol. 32, no. 3, pp. 404-411, 2013. Available: 10.1016/j.jmsy.2013.04.012.
41.M. Rosenbaum, G. Ramirez, J. Campbell and P. Klaus, "The product is me: Hyper-personalized consumer goods as unconventional luxury", Journal of Business Research, 2019. Available: 10.1016/j.jbusres.2019.05.017.
42.Y. Qi, B. Huo, Z. Wang and H. Yeung, "The impact of operations and supply chain strategies on integration and performance", International Journal of Production Economics, vol. 185, pp. 162-174, 2017. Available: 10.1016/j.ijpe.2016.12.028.
43.M. Ko, A. Tiwari and J. Mehnen, "A review of soft computing applications in supply chain management", Applied Soft Computing, vol. 10, no. 3, pp. 661-674, 2010. Available: 10.1016/j.asoc.2009.09.004.
44.Z. Chorfi, L. Benabbou and A. Berrado, "An integrated performance measurement framework for enhancing public health care supply chains", Supply Chain Forum: An International Journal, vol. 19, no. 3, pp. 191-203, 2018. Available: 10.1080/16258312.2018.1465796.
45.S. Lakri, Y. Dallery and Z. Jemai, "Measurement and Management of Supply Chain Performance: Practices in Today’s Large Companies", Supply Chain Forum: An International Journal, vol. 16, no. 4, pp. 16-30, 2015. Available: 10.1080/16258312.2015.11728691.
46.J. Weking, M. Stöcker, M. Kowalkiewicz, M. Böhm and H. Krcmar, "Archetypes for industry 4.0 business model innovations", in Twenty-fourth Americas Conference on Information Systems, 2018.
47.M. Brettel, N. Friederichsen, M. Keller and M. Rosenberg, "How virtualization, decentralization and network building change the manufacturing landscape: An industry 4.0 perspective", International Journal of Mechanical, Industrial Science and Engineering, vol. 8, no. 1, pp. 37-44, 2014.
48.T. Oesterreich and F. Teuteberg, "Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry", Computers in Industry, vol. 83, pp. 121-139, 2016. Available: 10.1016/j.compind.2016.09.006.
49.H. Kagermann, W. Wahlster and J. Helbig, "Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0: Final Report of the Industrie 4.0 Working Group", National Academy of Science and Engineering, 2013.
50.H. Pfohl, B. Yahsi and T. Kurnaz, "The impact of Industry 4.0 on the supply chain", in Hamburg International Conference of Logistics, Hamburg, Germany, 2015.
51.H. Lasi, P. Fettke, H. Kemper, T. Feld and M. Hoffmann, "Industry 4.0 Business and Information Systems Engineering", Business and Information Systems Engineering, vol. 6, no. 4, pp. 239-242, 2014. Available: 10.1007/s12599-014-0334-4.
52.C. Arnold, D. Kiel and K. Voigt, "How Industry 4.0 changes business models in different manufacturing industries", in ISPIM Innovation Conference, 2016.
53.J. Huxtable and D. Schaefer, "On Servitization of the Manufacturing Industry in the UK", Procedia CIRP, vol. 52, pp. 46-51, 2016. Available: 10.1016/j.procir.2016.07.042.
54.D. Kiel, C. Arnold and K. Voigt, "The influence of the Industrial Internet of Things on business models of established manufacturing companies – A business level perspective", Technovation, vol. 68, pp. 4-19, 2017. Available: 10.1016/j.technovation.2017.09.003.
55.S. Gierej, "The Framework of Business Model in the Context of Industrial Internet of Things", Procedia Engineering, vol. 182, pp. 206-212, 2017. Available: 10.1016/j.proeng.2017.03.166.
56.M. Ehret and J. Wirtz, "Unlocking value from machines: business models and the industrial internet of things", Journal of Marketing Management, vol. 33, no. 1-2, pp. 111-130, 2016. Available: 10.1080/0267257x.2016.1248041.
57.A. Frank, G. Mendes, N. Ayala and A. Ghezzi, "Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective", Technological Forecasting and Social Change, vol. 141, pp. 341-351, 2019. Available: 10.1016/j.techfore.2019.01.014.
58.C. Metallo, R. Agrifoglio, F. Schiavone and J. Mueller, "Understanding business model in the Internet of Things industry", Technological Forecasting and Social Change, vol. 136, pp. 298-306, 2018. Available: 10.1016/j.techfore.2018.01.020.
59.J. Müller, O. Buliga and K. Voigt, "Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0", Technological Forecasting and Social Change, vol. 132, pp. 2-17, 2018. Available: 10.1016/j.techfore.2017.12.019.
60.N. Foss and T. Saebi, "Fifteen Years of Research on Business Model Innovation", Journal of Management, vol. 43, no. 1, pp. 200-227, 2016. Available: 10.1177/0149206316675927.
61.L. Massa, C. Tucci and A. Afuah, "A Critical Assessment of Business Model Research", Academy of Management Annals, vol. 11, no. 1, pp. 73-104, 2017. Available: 10.5465/annals.2014.0072.
62.S. SCHNEIDER and P. SPIETH, "BUSINESS MODEL INNOVATION: TOWARDS AN INTEGRATED FUTURE RESEARCH AGENDA", International Journal of Innovation Management, vol. 17, no. 01, p. 1340001, 2013. Available: 10.1142/s136391961340001x.
63.T. Saebi, L. Lien and N. Foss, "What Drives Business Model Adaptation? The Impact of Opportunities, Threats and Strategic Orientation", Long Range Planning, vol. 50, no. 5, pp. 567-581, 2017. Available: 10.1016/j.lrp.2016.06.006.
64.C. Zott, R. Amit and L. Massa, "The Business Model: Recent Developments and Future Research", SSRN Electronic Journal, 2011. Available: 10.2139/ssrn.1674384.
65.H. Bullinger and W. Schweizer, "Intelligent production-competition strategies for producing enterprises", International Journal of Production Research, vol. 44, no. 18-19, pp. 3575-3584, 2006. Available: 10.1080/00207540600654491.
66.Y. Hongo, K. Kaneko, Y. Kishita and Y. Umeda, "Proposal of a Workshop-based Design Method of Personalization Procedures", Procedia CIRP, vol. 80, pp. 21-26, 2019. Available: 10.1016/j.procir.2019.01.041.
67.K. Kaneko, Y. Kishita and Y. Umeda, "Toward Developing a Design Method of Personalization: Proposal of a Personalization Procedure", Procedia CIRP, vol. 69, pp. 740-745, 2018. Available: 10.1016/j.procir.2017.11.134.
68.I. Torn and T. Vaneker, "Mass Personalization with Industry 4.0 by SMEs: a concept for collaborative networks", Procedia Manufacturing, vol. 28, pp. 135-141, 2019. Available: 10.1016/j.promfg.2018.12.022.
69.L. Grimal and P. Guerlain, "Mass customization in apparel industry-implication of consumer as co-creator", Journal of Economics & Management, vol. 15, pp. 105-121, 2014. [Accessed 16 November 2019].
70.M. Niblock, "Mass customization: The new frontier in business competition", Long Range Planning, vol. 26, no. 6, p. 142, 1993. Available: 10.1016/0024-6301(93)90218-5.
71.D. Pollard, S. Chuo and B. Lee, "Strategies For Mass Customization", Journal of Business & Economics Research (JBER), vol. 14, no. 3, pp. 101-110, 2016. Available: 10.19030/jber.v14i3.9751.
72.I. Paoletti, "Mass Customization with Additive Manufacturing: New Perspectives for Multi Performative Building Components in Architecture", Procedia Engineering, vol. 180, pp. 1150-1159, 2017. Available: 10.1016/j.proeng.2017.04.275.
73.D. Riecken, "Introduction: personalized views of personalization", Communications of the ACM, vol. 43, no. 8, pp. 26-28, 2000. Available: 10.1145/345124.345133.
74.A. Sakowski, M. Dangelmaier, M. Hertwig and D. Spath, "Bidirectional Interoperability of Product Engineering and Manufacturing Enhancing Mass Customization", Procedia Manufacturing, vol. 39, pp. 81-89, 2019. Available: 10.1016/j.promfg.2020.01.231.
75.M. Held, D. Wehner, R. Hämmerl, M. Dangelmaier, A.-K. Briem, C. Reiff, F. Wulle (eds.), Personalization in the Automotive and Building Sector - Research Program of the High-Performance Center "Mass Personalization" in Stuttgart (2018).
76.M. Abramovici Engineering smarter Produkte und Services. Platform Industrie 4.0 STUDIE, acatech - Deutsche Akademie der Technikwissenschaften e.V., München (2018)
77.T. Gilz, PLM-integrated interdisciplinary system models in the conceptual design phase based on model-based systems engineering, Techn. Univ (2014).
78.J. Lampel and H. Mintzberg, “Customizing Customization,” Sloan Management Review, vol.38, no.1, 1996, pp.21-30.
79.W. Ren, J. Wen, Y. Guan and Y. Hu, "Research on assembly module partition for flexible production in mass customization", Procedia CIRP, vol. 72, pp. 744-749, 2018. Available: 10.1016/j.procir.2018.03.023.
80.S. Suginouchi, T. Kaihara, N. Fujii and D. Kokuryo, "A methodology on parts specification management with customer demands for Mass Customization", Procedia CIRP, vol. 72, pp. 1184-1189, 2018. Available: 10.1016/j.procir.2018.03.016.
81.K. Chang, "Supply Chain Design for Personalization in Footwear", Master, Graduate Institute of Manufacturing Technology, National Taipei University of Technology, 2010.
82.H. Li, S. Mi, Q. Li, X. Wen, D. Qiao and G. Luo, "A scheduling optimization method for maintenance, repair and operations service resources of complex products", Journal of Intelligent Manufacturing, 2018. Available: 10.1007/s10845-018-1400-4.
83.A. Kumar, "From mass customization to mass personalization: a strategic transformation", International Journal of Flexible Manufacturing Systems, vol. 19, no. 4, pp. 533-547, 2007. Available: 10.1007/s10696-008-9048-6.
84.Dutch Ministries of Environment and Economic Affairs, "Product-service System, Ecological and Economic Basics", Amsterdam, 1999.
85.R. Roy, "Sustainable product-service systems", Futures, vol. 32, no. 3-4, pp. 289-299, 2000. Available: 10.1016/s0016-3287(99)00098-1.
86.R. Hernandez, "Sustainable Product-Service Systems and Circular Economies", Sustainability, vol. 11, no. 19, p. 5383, 2019. Available: 10.3390/su11195383.
87.E. SUNDIN, M. LINDAHL and M. COMSTOCK, "Integrated Product and Service Engineering Enabling Mass Customization", in Proceedings of 19th International Conference on Production Research, Santiago, 2007.
88.J. Aurich, C. Fuchs and M. DeVries, "An Approach to Life Cycle Oriented Technical Service Design", CIRP Annals, vol. 53, no. 1, pp. 151-154, 2004. Available: 10.1016/s0007-8506(07)60666-0.
89.H. Li, Y. Ji, X. Gu, G. Qi and R. Tang, "Module partition process model and method of integrated service product", Computers in Industry, vol. 63, no. 4, pp. 298-308, 2012. Available: 10.1016/j.compind.2012.02.015.
90.H. Li, S. Mi, Q. Li, X. Wen, D. Qiao and G. Luo, "A scheduling optimization method for maintenance, repair and operations service resources of complex products", Journal of Intelligent Manufacturing, 2018. Available: 10.1007/s10845-018-1400-4.
91.J. Aurich, C. Fuchs and C. Wagenknecht, "Life cycle oriented design of technical Product-Service Systems", Journal of Cleaner Production, vol. 14, no. 17, pp. 1480-1494, 2006. Available: 10.1016/j.jclepro.2006.01.019.
92.P. Wright, "Cyber-physical product manufacturing", Manufacturing Letters, vol. 2, no. 2, pp. 49-53, 2014. Available: 10.1016/j.mfglet.2013.10.001.
93.M. Krugh and L. Mears, "A complementary Cyber-Human Systems framework for Industry 4.0 Cyber-Physical Systems", Manufacturing Letters, vol. 15, pp. 89-92, 2018. Available: 10.1016/j.mfglet.2018.01.003.
94.R. Jiao et al., "Analytical affective design with ambient intelligence for mass customization and personalization", International Journal of Flexible Manufacturing Systems, vol. 19, no. 4, pp. 570-595, 2007. Available: 10.1007/s10696-008-9032-1.
95.Y. Wang, H. Ma, J. Yang and K. Wang, "Industry 4.0: a way from mass customization to mass personalization production", Advances in Manufacturing, vol. 5, no. 4, pp. 311-320, 2017. Available: 10.1007/s40436-017-0204-7.
96.G. Moroni and T. Tolio, "24th CIRP Design Conference Mass Customization and Personalization", Procedia CIRP, vol. 21, pp. 1-2, 2014. Available: 10.1016/j.procir.2014.10.001.
97.V. Kreng and T. Lee, "PRODUCT FAMILY DESIGN WITH GROUPING GENETIC ALGORITHM—A CASE STUDY", Journal of the Chinese Institute of Industrial Engineers, vol. 20, no. 4, pp. 373-388, 2003. Available: 10.1080/10170660309509244.
98.M. Meyer and J. Utterback, "The product family and the dynamics of core capability", Sloan Management Review, vol. 34, no. 3, pp. 29-47, 1993.
99.J. Ma and H. Kim, "Product family architecture design with predictive, data-driven product family design method", Research in Engineering Design, vol. 27, no. 1, pp. 5-21, 2015. Available: 10.1007/s00163-015-0201-4.
100.A. Jacob, K. Windhuber, D. Ranke and G. Lanza, "Planning, Evaluation and Optimization of Product Design and Manufacturing Technology Chains for New Product and Production Technologies on the Example of Additive Manufacturing", Procedia CIRP, vol. 70, pp. 108-113, 2018. Available: 10.1016/j.procir.2018.02.049.
101.J. Xu, L. Zhou, P. Chen, H. Li and M. Liu, "The Evolutionary Research of Modular Master Structure Oriented to Product-service Systems", Procedia CIRP, vol. 83, pp. 579-583, 2019. Available: 10.1016/j.procir.2019.04.123.
102.J. Mangan and C. Lalwani, Global logistics and supply chain management. Hoboken: Wiley, 2016.
103.P. Dornier, R. Ernst, M. Fender, and P. Kouvelis, Global Operations and Logistics. New York: John Wiley & Sons, 1998.
104.R. Duray, P. Ward, G. Milligan and W. Berry, "Approaches to mass customization: configurations and empirical validation", Journal of Operations Management, vol. 18, no. 6, pp. 605-625, 2000. Available: 10.1016/s0272-6963(00)00043-7.
105.B. Pine, Mass customization. Boston, Mass.: Harvard Business School, 1999.
106.M. Muffatto and M. Roveda, "Developing product platforms: analysis of the development process", Technovation, vol. 20, no. 11, pp. 617-630, 2000. Available: 10.1016/s0166-4972(99)00178-9.
107.J. Olivares-Aguila and H. ElMaraghy, "Co-development of product and supplier platform", Journal of Manufacturing Systems, vol. 54, pp. 372-385, 2020. Available: 10.1016/j.jmsy.2020.01.010.
108.M. Muffatto, "Introducing a platform strategy in product development", International Journal of Production Economics, vol. 60-61, pp. 145-153, 1999. Available: 10.1016/s0925-5273(98)00173-x.
109.A. McKay, F. Erens and M. Bloor, "Relating product definition and product variety", Research in Engineering Design, vol. 8, no. 2, pp. 63-80, 1996. Available: 10.1007/bf01607862.
110.Y. Zhou and X. Wan, "Product variety and vertical integration", Strategic Management Journal, vol. 38, no. 5, pp. 1134-1150, 2016. Available: 10.1002/smj.2540.
111.K. Ulrich, Product design and development. [S.l.]: McGraw-Hill Education, 2019.
112.K. Ulrich, S. Eppinger and M. Yang, Product design and development. New York: McGraw-Hill, 1995.
113.I. Graessler and X. Yang, "Product life cycle cost approach for modular lightweight design", Procedia CIRP, vol. 84, pp. 1048-1053, 2019. Available: 10.1016/j.procir.2019.03.199.
114.J. Xu, L. Zhou, P. Chen, H. Li and M. Liu, "The Evolutionary Research of Modular Master Structure Oriented to Product-service Systems", Procedia CIRP, vol. 83, pp. 579-583, 2019. Available: 10.1016/j.procir.2019.04.123.
115.J. Pakkanen, T. Juuti and T. Lehtonen, "Brownfield Process: A method for modular product family development aiming for product configuration", Design Studies, vol. 45, pp. 210-241, 2016. Available: 10.1016/j.destud.2016.04.004.
116.C. Huang, "Overview of modular product development", Proceedings of the National Science Council, Republic of China, Part A: Physical Science and Engineering, vol. 24, no. 3, pp. 149-165, 2000.
117.R. Ernst and B. Kamrad, "Evaluation of supply chain structures through modularization and postponement", European Journal of Operational Research, vol. 124, no. 3, pp. 495-510, 2000. Available: 10.1016/s0377-2217(99)00184-8.
118.J. Swaminathan and H. Lee, "Design for Postponement", Handbooks in Operations Research and Management Science, vol. 11, pp. 199-226, 2003. Available: 10.1016/S0927-0507(03)11005-5 [Accessed 17 March 2020].
119.C. Yu, S. Mou, Y. Ji, X. Xu and X. Gu, "A delayed product differentiation model for cloud manufacturing", Computers & Industrial Engineering, vol. 117, pp. 60-70, 2018. Available: 10.1016/j.cie.2018.01.019.
120.M. Jin, G. Li and T. Cheng, "Buy online and pick up in-store: Design of the service area", European Journal of Operational Research, vol. 268, no. 2, pp. 613-623, 2018. Available: 10.1016/j.ejor.2018.02.002.
121.S. Dasu and C. Eastman, Management of design. Boston: Kluwer Academic Publishers, 1994, pp. 105-112.
122.J. Dahmus, J. Gonzalez-Zugasti and K. Otto, "Modular product architecture", Design Studies, vol. 22, no. 5, pp. 409-424, 2001. Available: 10.1016/s0142-694x(01)00004-7.
123.P. Gu and S. Sosale, "Product modularization for life cycle engineering", Robotics and Computer-Integrated Manufacturing, vol. 15, no. 5, pp. 387-401, 1999. Available: 10.1016/s0736-5845(99)00049-6.
124.R. Stone, K. Wood and R. Crawford, "A heuristic method for identifying modules for product architectures", Design Studies, vol. 21, no. 1, pp. 5-31, 2000. Available: 10.1016/s0142-694x(99)00003-4.
125.N. KOHLHASE and H. BIRKHOFER, "Development of Modular Structures: The Prerequisite for Successful Modular Products", Journal of Engineering Design, vol. 7, no. 3, pp. 279-291, 1996. Available: 10.1080/09544829608907941.
126.[115]G. Schuh, S. Rudolf and T. Vogels, "Development of Modular Product Architectures", Procedia CIRP, vol. 20, pp. 120-125, 2014. Available: 10.1016/j.procir.2014.05.042.
127.I. Graessler and X. Yang, "Product life cycle cost approach for modular lightweight design", Procedia CIRP, vol. 84, pp. 1048-1053, 2019. Available: 10.1016/j.procir.2019.03.199.
128.C. Rennpferdt, E. Greve and D. Krause, "The Impact of Modular Product Architectures in PSS Design: A systematic Literature Review", Procedia CIRP, vol. 84, pp. 290-295, 2019. Available: 10.1016/j.procir.2019.04.197.
129.V. Modrak and Z. Soltysova, "Process modularity of mass customized manufacturing systems: principles, measures and assessment", Procedia CIRP, vol. 67, pp. 36-40, 2018. Available: 10.1016/j.procir.2017.12.172.
130.S. Salhieh and A. Kamrani, "Macro level product development using design for modularity", Robotics and Computer-Integrated Manufacturing, vol. 15, no. 4, pp. 319-329, 1999. Available: 10.1016/s0736-5845(99)00008-3.
131.A. Ericsson and G. Erixon, Controlling design variants. Dearborn, USA: Society of Manufacturing Engineers, 1999.
132.C. Huang and W. Liang, "A FORMALISM FOR DESIGNING WITH MODULES", Journal of the Chinese Institute of Industrial Engineers, vol. 18, no. 3, pp. 13-20, 2001. Available: 10.1080/10170660109509454.
133.J. Gonzalez-Zugasti, K. Otto and J. Baker, "A Method for Architecting Product Platforms", Research in Engineering Design, vol. 12, no. 2, pp. 61-72, 2000. Available: 10.1007/s001630050024.
134.Y. Xiong, G. Du and R. Jiao, "Modular product platforming with supply chain postponement decisions by leader-follower interactive optimization", International Journal of Production Economics, vol. 205, pp. 272-286, 2018. Available: 10.1016/j.ijpe.2018.09.013.
135.G. Fylaktopoulos, M. Skolarikis, I. Papadopoulos, G. Goumas, A. Sotiropoulos and I. Maglogiannis, "A distributed modular platform for the development of cloud based applications", Future Generation Computer Systems, vol. 78, pp. 127-141, 2018. Available: 10.1016/j.future.2017.02.035.
136.G. Pahl, W. Beitz, K. Wallace, L. Blessing and F. Bauert, Engineering Design. London: Springer London, Limited, 2013.
137.K. Ulrich and K. Tung, Fundamentals of product modularity. Cambridge, Mass.: Sloan School of Management, Massachusetts Institute of Technology, 1991.
138.E. Falkenauer, Genetic algorithms and grouping problems. Chichester: J. Wiley & Sons, 1999.
139.J. Holland, Adaptation in natural and artificial systems. Cambridge, Mass: MIT Press, 2010.
140.P. Lorrentz, Artificial neural systems. [Place of publication not identified]: Bentham Science Publisher, 2015.
141.P. De Lit, E. Falkenauer and A. Delchambre, "Grouping genetic algorithms: an efficient method to solve the cell formation problem", Mathematics and Computers in Simulation, vol. 51, no. 3-4, pp. 257-271, 2000. Available: 10.1016/s0378-4754(99)00122-6.
142.K. Chang, "A Web-Based Decision Support System for Master Planning under Supply Chain", CCL Technical Journal, vol. 94, pp. 3-9, 2000. Available: 10.29917/CCLTJ.200012.0002.
143.L. Özdamar, M. Bozyel and S. Birbil, "A hierarchical decision support system for production planning (with case study)", European Journal of Operational Research, vol. 104, no. 3, pp. 403-422, 1998. Available: 10.1016/s0377-2217(97)00016-7.
144.B. Tjahjono, C. Esplugues, E. Ares and G. Pelaez, "What does Industry 4.0 mean to Supply Chain?", Procedia Manufacturing, vol. 13, pp. 1175-1182, 2017. Available: 10.1016/j.promfg.2017.09.191.
145.G. Benitez, N. Ayala and A. Frank, "Industry 4.0 innovation ecosystems: an evolutionary perspective on value cocreation", International Journal of Production Economics, p. 107735, 2020. Available: 10.1016/j.ijpe.2020.107735.
146.Deloitte, Industry 4.0: Challenges and solutions for the digital transformation and use of exponential technologies. Audit. Tax. Consulting. Corporate Finance, 2014.
147.T. Hahn, Future of Manufacturing – View on enabling technologies. Siemens Corporate Technology, 2014.
148.C. Lee, "Demand Chain Optimization", Evant White Paper Series, 2013.
149."Procurement Performance Indicators Guide". U.S. Agency for International Development, 2013.
150.J. Van der Geer, "JAJ Hanraads", J. Sci, vol. 163, pp. 51-59, 2000.
151.Procurement: Key Performance Indicators. Deltabid, 2014.
152.N. Sanders, Big data driven supply chain management. Upper Saddle River, N.J.: Pearson Education (US), 2014.
153.E. Allais, Warehouse Metrics: Measure What Matters. 2010.
154.S. Stone, "Warehousing Key Performance Indicators – Measuring success helps demonstrate the value of warehousing functions", Cisco-Eagle, 2014.
155.R. Kasilingam, Logistics and transportation. Great Britain: Kluwer Academic Publishers, 1998.
156.A. Robinson, "Transportation Metrics That Matter Most to Track and Improve Performance", Cerasis, 2014.
157.S. Chopra, Supply chain management. New York: Pearson Education Limited, 2020.
158.S. Chopra, Supply Chain Management. Harlow, United Kingdom: Pearson Education Canada, 2019.
159.T. Choi and M. Rungtusanatham, "Comparison of Quality Management Practices: Across the Supply Chain and Industries", The Journal of Supply Chain Management, vol. 35, no. 1, pp. 20-27, 1999. Available: 10.1111/j.1745-493x.1999.tb00052.x.
160.H. Pimenta and P. Ball, "Analysis of Environmental Sustainability Practices Across Upstream Supply Chain Management", Procedia CIRP, vol. 26, pp. 677-682, 2015. Available: 10.1016/j.procir.2014.07.036.
161.A. Alam, "Supply Chain Management", Journal of Strategic Management", vol. 13, pp.80-86, 1996.
162.D. Riecken, "Introduction: personalized views of personalization", Communications of the ACM, vol. 43, no. 8, pp. 26-28, 2000. Available: 10.1145/345124.345133.
163.A. Gupta and C. Maranas, "A Hierarchical Lagrangean Relaxation Procedure for Solving Midterm Planning Problems", Industrial & Engineering Chemistry Research, vol. 38, no. 5, pp. 1937-1947, 1999. Available: 10.1021/ie980782t.
164.K. ERTOGRAL and S. DAVID WU, "Auction-theoretic coordination of production planning in the supply chain", IIE Transactions, vol. 32, no. 10, pp. 931-940, 2000. Available: 10.1080/07408170008967451.
165.P. Luh, M. Ni, H. Chen and L. Thakur, "Price-based approach for activity coordination in a supply network", IEEE Transactions on Robotics and Automation, vol. 19, no. 2, pp. 335-346, 2003. Available: 10.1109/tra.2003.809589.
166.C. Teng and Z. Li, Er ceng gui hua de li lun yu ying yong. Beijing: Ke xue chu ban she, 2002.
167.Y. Li and S. Yang, "Fuzzy Bi-level Multi-objective Programming for Supply Chain", in IEEE SC, New Jersey, 2007, pp. 2203-2207.
168.H. Sun, Z. Gao and J. Wu, "A bi-level programming model and solution algorithm for the location of logistics distribution centers", Applied Mathematical Modelling, vol. 32, no. 4, pp. 610-616, 2008. Available: 10.1016/j.apm.2007.02.007.
169.Y. Hu, Y. Fan and T. Wang, "Research on Uniform Purchasing Based on the BLP Model", CSME Journal, vol. 18, no. 1, pp. 52-55, 2007.
170.Y. Li and S. Yang, "Distributed Multi-level Collaborative Production-Distribution Planning Model and Solution for Supply Chain", China Mechanical Engineering, vol. 19, no. 21, pp. 2589-2594, 2008.
171.D. Li, Mo hu duo mu biao duo ren jue ce yu dui ce =. Beijing Shi: Guo fang gong ye chu ban she, 2003.
172.H. Shih, Y. Lai and E. Stanley Lee, "Fuzzy approach for multi-level programming problems", Computers & Operations Research, vol. 23, no. 1, pp. 73-91, 1996. Available: 10.1016/0305-0548(95)00007-9.
173.N. Safaei and M. Saraj, "Fuzzy linear fractional bi-level multi-objective programming problems", International Journal of Applied Mathematical Research, vol. 1, no. 4, 2012. Available: 10.14419/ijamr.v1i4.416.
174.M. Elsisy and M. El Sayed, "Fuzzy rough bi-level multi-objective nonlinear programming problems", Alexandria Engineering Journal, vol. 58, no. 4, pp. 1471-1482, 2019. Available: 10.1016/j.aej.2019.12.002.
175.V. Chinnadurai and S. Muthukumar, "Solving the linear fractional programming problem in a fuzzy environment: Numerical approach", Applied Mathematical Modelling, vol. 40, no. 11-12, pp. 6148-6164, 2016. Available: 10.1016/j.apm.2016.01.044.
176.M. Osman, M. Abo-Sinna, A. Amer and O. Emam, "A multi-level non-linear multi-objective decision-making under fuzziness", Applied Mathematics and Computation, vol. 153, no. 1, pp. 239-252, 2004. Available: 10.1016/s0096-3003(03)00628-3.
177.W. Alderson, "Marketing Efficiency and the Principle of Postponement", Cost and Profit Outlook, vol. 3, no. 4, pp. 15-18, 1950.
178.Y. Xiong, G. Du and R. Jiao, "Modular product platforming with supply chain postponement decisions by leader-follower interactive optimization", International Journal of Production Economics, vol. 205, pp. 272-286, 2018. Available: 10.1016/j.ijpe.2018.09.013.
179.I. Ng, K. Scharf, G. Pogrebna and R. Maull, "Contextual variety, Internet-of-Things and the choice of tailoring over platform: Mass customisation strategy in supply chain management", International Journal of Production Economics, vol. 159, pp. 76-87, 2015. Available: 10.1016/j.ijpe.2014.09.007.
180.P. Fredriksson and L. Gadde, "Flexibility and rigidity in customization and build-to-order production", Industrial Marketing Management, vol. 34, no. 7, pp. 695-705, 2005. Available: 10.1016/j.indmarman.2005.05.010.
181.B. Shen, X. Xu and S. Guo, "The impacts of logistics services on short life cycle products in a global supply chain", Transportation Research Part E: Logistics and Transportation Review, vol. 131, pp. 153-167, 2019. Available: 10.1016/j.tre.2019.07.013.
182.B. Yang and N. Burns, "Implications of postponement for the supply chain", International Journal of Production Research, vol. 41, no. 9, pp. 2075-2090, 2003. Available: 10.1080/00207544031000077284.
183.M. Rudberg and J. Wikner, "Mass customization in terms of the customer order decoupling point", Production Planning & Control, vol. 15, no. 4, pp. 445-458, 2004. Available: 10.1080/0953728042000238764.
184.J. Strandhagen, L. Vallandingham, E. Alfnes and J. Strandhagen, "Operationalizing lean principles for lead time reduction in engineer-to-order (ETO) operations: A case study", IFAC-PapersOnLine, vol. 51, no. 11, pp. 128-133, 2018. Available: 10.1016/j.ifacol.2018.08.246.
185.X. Hu, G. Wang, X. Li, Y. Zhang, S. Feng and A. Yang, "Joint decision model of supplier selection and order allocation for the mass customization of logistics services", Transportation Research Part E: Logistics and Transportation Review, vol. 120, pp. 76-95, 2018. Available: 10.1016/j.tre.2018.10.011.
186.G. Wang, X. Hu, X. Li, Y. Zhang, S. Feng and A. Yang, "Multiobjective decisions for provider selection and order allocation considering the position of the CODP in a logistics service supply chain", Computers & Industrial Engineering, vol. 140, p. 106216, 2020. Available: 10.1016/j.cie.2019.106216.
187.Supply-Chain Operations Reference-model (SCOR®) Version 8.0. Washington: Supply-Chain Council, 2006.
188.Y. Lau, A. Ng and J. Acevedo, Principles of Global Supply Chain Management. London: Anthem Press, 2019.
189.SCOR supply chain operations reference model. Place of publication not identified: The Supply Chain Council, 2010.
190.C.C.Tsai, "A SCOR-Based Methodology for Analyzing and Designing Supply Chain", Unpublished master’s thesis, National Tsing Hua University, Hsinchu, 1994.
191.W.K.Xie, "Supply Chain Performance Evaluation and Improvement based on the SCOR Model-A Case Study of an IC Design House." Unpublished master’s thesis, National Tsing Hua University, Hsinchu, 1996
192.F. Lima-Junior and L. Carpinetti, "Quantitative models for supply chain performance evaluation: A literature review", Computers & Industrial Engineering, vol. 113, pp. 333-346, 2017. Available: 10.1016/j.cie.2017.09.022.
193.M. Guersola, E. De Lima and M. Steiner, "Supply chain performance measurement: a systematic literature review", International Journal of Logistics Systems and Management, vol. 31, no. 1, p. 109, 2018. Available: 10.1504/ijlsm.2018.10015227.
194.J. Ribeiro and A. Barbosa-Povoa, "Quantitative models for supply chain performance evaluation: A literature review", Computers & Industrial Engineering, vol. 115, pp. 109-122, 2017. Available: 10.1016/j.cie.2017.09.022.
195.H. Didehkhani, J. Jassbi and N. Pilevari, "Assessing flexibility in supply chain using adaptive neuro fuzzy inference system", in IEEE International Conference On Industrial Engineering And Engineering Management, Hong-Kong, 2009.
196.H. Wang, "Research on supply chain performance evaluation of fresh agricultural products", INMATEH - Agricultural Engineering, vol. 40, pp. 36-42, 2013.
197.P. Akkawuttiwanich and P. Yenradee, "Fuzzy QFD approach for managing SCOR performance indicators", Computers & Industrial Engineering, vol. 122, pp. 189-201, 2018. Available: 10.1016/j.cie.2018.05.044.
198.A. Moharamkhani, A. Amiri and H. Mina, "Supply chain performance measurement using SCOR model based on interval-valued fuzzy TOPSIS", International Journal of Logistics Systems and Management, vol. 27, no. 1, p. 115, 2017. Available: 10.1504/ijlsm.2017.083225.
199.M. Sellitto, G. Pereira, M. Borchardt, R. da Silva and C. Viegas, "A SCOR-based model for supply chain performance measurement: application in the footwear industry", International Journal of Production Research, vol. 53, no. 16, pp. 4917-4926, 2015. Available: 10.1080/00207543.2015.1005251.
200.S. Melnyk, D. Stewart and M. Swink, "Metrics and performance measurement in operations management: dealing with the metrics maze", Journal of Operations Management, vol. 22, no. 3, pp. 209-218, 2004. Available: 10.1016/j.jom.2004.01.004.
201.H. Mina, A. Moharamkhani and A. Bozorgi Amiri, "Supply chain performance measurement using SCOR model based on interval-valued fuzzy TOPSIS", International Journal of Logistics Systems and Management, vol. 27, no. 1, p. 115, 2017. Available: 10.1504/ijlsm.2017.10003923.
202.I. Bukhori, K. Widodo and D. Ismoyowati, "Evaluation of Poultry Supply Chain Performance in XYZ Slaughtering House Yogyakarta Using SCOR and AHP Method", Agriculture and Agricultural Science Procedia, vol. 3, pp. 221-225, 2015. Available: 10.1016/j.aaspro.2015.01.043.
203.J. Yang and H. Jiang, "Fuzzy Evaluation on Supply Chains’ Overall Performance Based on AHM and M(1,2,3)", Journal of Software, vol. 7, no. 12, 2012. Available: 10.4304/jsw.7.12.2779-2786.
204.G. Ganga and L. Carpinetti, "A fuzzy logic approach to supply chain performance management", International Journal of Production Economics, vol. 134, no. 1, pp. 177-187, 2011. Available: 10.1016/j.ijpe.2011.06.011.
205.F. Lima-Junior and L. Carpinetti, "Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks", International Journal of Production Economics, vol. 212, pp. 19-38, 2019. Available: 10.1016/j.ijpe.2019.02.001.
206."Supply chain operations reference model, version 11.0", SCC - Supply chain council, 2012.
207.J. Hallikas, K. Korpela, J. Vilko and S. Multaharju, "Assessing Benefits of Information Process Integration in Supply Chains", Procedia Manufacturing, vol. 39, pp. 1530-1537, 2019. Available: 10.1016/j.promfg.2020.01.294.
208.C. Zeng, Footwear Manufacturing Technology and Management. Taichung: Footwear & Recreation Technology Research Institute, 1993.
209.F. Lin and M. Shaw, "Reengineering the Order Fulfillment Process in Supply Chain Networks", The Information Journal of Flexible Manufacturing Systems, vol. 10, no. 3, pp. 197-229, 1998.
210.H. Luo, X. Yang and X. Kong, "A synchronized production-warehouse management solution for reengineering the online-offline integrated order fulfillment", Transportation Research Part E: Logistics and Transportation Review, vol. 122, pp. 211-230, 2019. Available: 10.1016/j.tre.2018.12.010.
211.[196]J. Lin, M. Naim and V. Spiegler, "Delivery time dynamics in an assemble-to-order inventory and order based production control system", International Journal of Production Economics, p. 107531, 2019. Available: 10.1016/j.ijpe.2019.107531.
212.T. Brooke, "5 Sites That Let You Design Your Own Sneakers", Showbiz Cheat Sheet, 2020. [Online]. Available: https://www.cheatsheet.com/gear-style/sites-design-sneakers.html/.
213."Nike iD - SneakerNews.com", Sneaker News, 2020. [Online]. Available: https://sneakernews.com/category/nike-id/.
214.X. Deng, S. Hui and J. Hutchinson, "Consumer preferences for color combinations: An empirical analysis of similarity-based color relationships", Journal of Consumer Psychology, vol. 20, no. 4, pp. 476-484, 2010. Available: 10.1016/j.jcps.2010.07.005.
215.S. Chopra, Supply chain management. New York: Pearson Education Limited, 2020.