AHP를 이용한 스마트 공급망 구축을 위한 주요 성공요인 분석 = Analysis of Key Success Factors for Building a Smart Supply Chain Using AHP

다국어 초록 (Multilingual Abstract)

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다국어 초록 (Multilingual Abstract)

With the advent of the Fourth Industrial Revolution, propelled by digital technology, we are transitioning into an era of hyperconnectivity, where everything and objects are becoming interconnected. A smart supply chain refers to a supply chain system where various sensors and RFID tags are attached to objects such as machinery and products used in the manufacturing and transportation of goods. These sensors and tags collect and analyze process data related to the products, providing meaningful information for operational use and decision-making in the supply chain. Before the spread of COVID-19, the fundamental principles of supply chain management were centered around ‘cost minimization’ and ‘high efficiency.’ A smart supply chain overcomes the linear delayed action-reaction processes of traditional supply chains by adopting real-time data for better decision-making based on information, providing greater transparency, and enabling enhanced collaboration across the entire supply chain. Therefore, in this study, a hierarchical model for building a smart supply chain was constructed to systematically derive the importance of key factors that should be strategically considered in the construction of a smart supply chain, based on the major factors identified in previous research. We applied AHP (Analytical Hierarchy Process) techniques to identify urgent improvement areas in smart SCM initiatives. The analysis results showed that the external supply chain integration is the most urgent area to be improved in smart SCM initiatives.

참고문헌 (Reference)

1 양재용 ; 이형석 ; 박근완, "코로나19와 공급사슬관리 전략의 혁신 요구에 관한 고찰: 글로벌 컨설팅 기업들의 제안을 중심으로" 한국경영컨설팅학회 20 (20): 225-236, 2020

2 신장철 ; 임옥경 ; 박영환 ; 송상화, "스마트 공급망 구현에 필요한 기본 요소들의 우선순위 결정에 관한 연구" 한국SCM학회 17 (17): 1-12, 2017

3 IMF, "World Economic Outlook"

4 Niezgoda, D., "Unmanned Aerial Vehicles in Logistics" DHL Customer Solutions & Innovation 2014

5 Butner, K., "The smarter supply chain of the future" 38 (38): 22-31, 2010

6 Papadopoulos, T., "The role of big data in explaining disaster resilience in supply chains for sustainability" Elsevier Ltd 142 : 1108-1118, 2017

7 Michael, R., "The more things change: Value creation, value capture, and the Internet of Things" Deloitte University Press 17 : 2015

8 Lee, I., "The internet of things(IoT) : Capabilities and applications for smart supply chain" The Internet of Things in the Modern Business Environment 76-93, 2017

9 Ribeiro, J. P., "Supply chain resilience: definitions and quantitative modelling approaches: A literature review" 115 : 109-122, 2017

10 Raj, S., "Supply Chain Management in the Cloud" Accenture 1-11, 2014

11 Wu, L., "Smart supply chain management : A review and implications for future research" 27 (27): 395-417, 2016

12 Heutger, M., "Self-Driving Vehicles in Logistics" DHL Customer Solutions &Innovation 2014

13 장형욱 ; 이상식 ; 김종원, "SCM활동과 경쟁전략이 경영성과에 미치는 영향" 한국물류학회 18 (18): 133-158, 2008

14 박근완 ; 박광태 ; 김보원, "SCM(공급사슬관리)에서의 관계관리 - 관계관리 변수의 속성을 중심으로 -" 한국경영학회 44 (44): 985-1012, 2015

15 Bonkenburt, T, "Robotics in logistics, DHL Customer Solutions & Innovation" Germany 2016

16 Kraemer, D., "Omni-Channel Logistics : A DHL Perspective on Implications and Use Cases for the Logistics Industry" DHL Customer Solutions & Innovation 2015

17 Kaur, H., "Modeling low carbon procurement and logistics in supply chain : A key towards sustainable production" 11 : 5-17, 2017

18 Richter, K., "Low-cost sensor technology" DHL Customer Solutions & Innovation 24-, 2013

19 Basset, M. A., "Internet of things(IoT)and its impact on supply chain : A framework for building smart, secure and efficient sys"tems" 86 : 1-15, 2018

20 Macaulay, J., "Internet of things in logistics" 1 (1): 1-27, 2015

21 Jay, W. F., "Industrial Dynamics" MIT Press 1961

22 Urciuoli, L., "Improving supply chain risk management - can additional data help?" 30 (30): 195-224, 2008

23 Lund, S., "Globalization in Transition: The Future of Trade and Value Chains" McKinsey

24 Joe, M., "Forging links into loops: The Internet of Things’ potential to recast supply chain management" Deloitte University Press 17 : 2015

25 Büyüközkan, G., "Digital supply chain : literature review and a proposed framework for future research" 97 : 157-177, 2018

26 Heutger, M., "Blockchain in logistics" DHL Customer Solutions & Innovation 2018

27 Jeske, M., "Big Data in Logistics : A DHL Perspective on How to Move Beyond the Hype" DHL Customer Solutions & Innovation 2013

28 Akyuz, G. A., "Becoming smart, innovative, and socially respon"sible in supply chain collaboration, Encyclopedia of Information Science and Technology" IGI Global 5285-5305, 2018

29 Carmigniani, J., "Augmented reality : An overview, Handbook of Augmented Reality" Springer 3-46, 2011

30 Glockner, H., "Augmented reality" DHL Customer Solutions & Innovation 2014

31 Gesing, B., "Artificial Intelligence in Logistics - A Collaborative Report by DHL and IBM on Implications and Use Cases for the Logistics Industry" DHL Customer Solutions & Innovation 2018

32 Wahlster, W., "Artificial Intelligence as the driver of the second wave of digitization" VDMA Impulse

33 Saaty, T. L., "A scaling method for priorities in hierarchical structures" 15 : 234-281, 1977

34 Chung, G., "3D Printing and the Future of Supply Chains" DHL Customer Solutions & Innovation 2016

35 Marchese, K., "3D Opportunity for the Supply Chain" Deloitte 2015