Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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A Study on the Establishment Direction of Smart Distribution Logistics Center in the era of the Fourth Industrial Revolution

4차 산업혁명시대의 스마트 유통물류센터 구축방향에 관한 연구

  • Park, Jung-Hyun (Graduate School of Logistics, Incheon National University) ;
  • Oh, Jae-Gyun (Graduate School of Logistics, Incheon National University) ;
  • Kim, Dong-Myung (Graduate School of Logistics, Incheon National University) ;
  • Yeo, Gi-Tae (Graduate School of Logistics, Incheon National University)
  • 박정현 (인천대학교 동북아물류대학원) ;
  • 오재균 (인천대학교 동북아물류대학원) ;
  • 김동명 (인천대학교 동북아물류대학원) ;
  • 여기태 (인천대학교 동북아물류대학원)
  • Received : 2018.11.19
  • Accepted : 2019.02.20
  • Published : 2019.02.28
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Abstract

This research is aimed to identify the building factors and deriving the importance of each factor for establishing the smart distribution center in the fourth industrial revolution era. The research methodology used CFPR(Consistent Fuzzy Preference Relations) to effectively extract expert knowledge. Research has shown as principle factors that "Service" is the first factor to be considered as 0.271, followed by "Infra(Warehouse)"(0.254), "Information System"(0.247), and "Equipment"(0.228). And as detailed factors, "Reliability" showed the highest importance as 0.091, followed "Visibility of Information System"(0.076), "Space Advancement"(0.075), "Location"(0.074) and "Satisfaction of service"(0.073). This study has implications in that it has presented an establishment direction for the smart distribution center.

본 연구는 4차 산업혁명 시대에 스마트 유통물류센터 구축 요인을 파악하고, 요인별 중요도를 산출하는 것을 연구의 목적으로 한다. 연구 방법론은 전문가의 지식을 효과적으로 추출할 수 있는 CFPR(Consistent Fuzzy Preference Relations)법을 사용하였다. 연구결과, 대요인(Principle factors)에 "서비스"가 0.271로 가장 우선적으로 고려해야 하는 요인으로 분석되었고, 다음으로는 인프라(0.254), 정보시스템(0.247), 장비(0.228)순으로 나타났다. 한편, 세부 요인별(Detailed factors)로 보면 "신뢰성"요인의 중요도가 0.091로 가장 높게 나타났으며, 이어 "정보시스템의 가시성"(0.076), "인프라의 공간고도화"(0.075), "입지"(0.074) 그리고 "서비스의 만족도"(0.073) 순으로 높게 평가되었다. 본 연구는 스마트 유통물류센터에 대한 구축방향을 제시하였다는 점에서 시사점을 갖는다.

Keywords

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Fig. 1. Domestic Distribution Market Size Trend Source) National Statistical Office, ShinYoung Securities (2017.11)

Table 1. 7 Trends in Logistics

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Table 2. Extracted evaluation factors

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Table 3. Outline of experts’ in-depth interview results

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Table 4. CFPR Results

DJTJBT_2019_v17n2_59_t0004.png 이미지

References

  1. T. H. Sim. (2013). Global Retail Insights. Seoul : Korea Chain Store Association.
  2. M. E. Jung. (2018). A Study on the analysis of front-back effects of logistics industry based on Input-output model. Master dissertation. Soongsil University, Seoul.
  3. Y. J. Min et al (2017). Logistics technology industry and technology trend analysis in 2017, Se-jong : Korea Transport Institute.
  4. J. H. Lee. (2018.01.01.). [2018 New Year's plan] Distribution industry prospect - Accelerating on-line and off-line collapse. Electronic Times Etnews, http://www.etnews.com/
  5. Y. H. Joo. (2017). 2018 year Distribution White Paper, eugene investment & securities New Fusion Logistics Service Trends Following the Fourth Industrial Revolution, KDB Industry Bank.
  6. M. J. Kim. (2018). Finding winners companies in the new distribution age. Seoul : Mirae Asset Daewoo Research.
  7. H. Y. Jeon. (2017). The Fourth Industrial Revolution and the Future of Domestic Industry, VIP Report, 717, 1-17(17).
  8. C. B. Lee, J, H. Noh & J. H. Kim. (2017). A Study on the Perception of the Impact of Fourth Industrial Revolution on the Performance of Logistics Management. Korea Journal of Logistics, 27(5), 1-12.
  9. S. G. Lee & T. S. Jeong. (2016). Smart logistics in big data era. ie magagine(Industrial engineering magazine), 23(4) [2016], 13-20(8).
  10. Klaus Schwab. (2016). The Fourth Industrial revolution : What is means, how to respond. WORLD ECONOMIC FORUM (Fourth Industrial Revolution). https://www.weforum.org/
  11. Joint ministry. (2016). Economic policy direction in 2017. Seoul : Korea government.
  12. World Economic Forum. (2016). Digital Transformation of Industries Logistics Industry, Switzerland : World Economic Forum.
  13. Y. N. Kim. (2018). (A) study on measures to introduce smart technologies for domestic logistics companies : Focusing on cases of utilizing smart logistics. Master dissertation. Sungkyunkwan University, Seoul.
  14. B. J. Park. (2012). Evolution into Smart. Logistics. Gyeongnam Development, 121, 96-111.
  15. D. J. Kim. (2017). The Trend of New Convergence Service in the wake of the Fourth Industrial Revolution, Weekly KDB Report, Korea Development Bank, 5-7.
  16. S. H. Song (2016). The core of future logistics industry competition is data, Monthly Maritime Korea, 2016(3), 82-83.
  17. Deloitte. (2018). Deloitte Korea Review No. 10.
  18. H. S. Yun. (2017.12.12.). Lotte 'distribution synergy' strategy ... non-offline reinforcement + joint sourcing + integrated mall evolution. Etnews, http://www.etnews.com/
  19. K. S. Kim, S. K. Kim & Y. J. Cha. (2017). The Era of Distribution 4.0, the Transition of Retail Paradigm, Samjeong KPMG Economic Research Institute, 54.
  20. D. S. Kang. (2017). The Countermeasures of Korean Logistics Companies According to the Fourth Industrial Revolution. Master dissertation. Chosun University. Gwang-ju.
  21. James A. Tomplins, Jon A. White, Yavuz A. Bozer, Edward H. Frazelle, J.M.A. Tanchoco & Jaime Trevino. (1996). Facilities Planning, John Wiley & Sons, Inc. 444-445.
  22. S. U. Hong. (1999). Cargo terminal. Seoul : Transportation Development Institute.
  23. W. B. Kim et al (2004). A study on establishment of integrated logistics systems and locations of distribution centers for organic farm products. Gwacheon : Ministry of Agriculture and Forestry.
  24. S. T. Kim et al. (2005). Construction and operation of logistics center. Seoul : Bumhan.
  25. I. S. Jeon et al. (2007). From logistics center planning to operation. Seoul : Bumhan.
  26. Korea Integrated Logistics Association. (2007). 'Status and development direction of logistics facilities and logistics warehousing business', Korea Integrated Logistics Association, The 1st Academic Seminar on Logistics Facility Experts).
  27. J. Gu, M. Goetschalckx & L. F. Mcginnis. (2007). Research on Warehouse Operation: A Comprehensive Review, European Journal of Operational Research, 177, 1-21. https://doi.org/10.1016/j.ejor.2006.02.025
  28. S. B. Lee. (2009). A Study for Efficient Design and Construction Plan of Automated Logistic System. Master dissertation. Hanbat National University, Daejeon.
  29. Jinxiang Gu, Marc Goetxchlckx & Leon F. Mcginnis. (2009). Research on Warehouse Design and Performance Evaluation: A comprehensive review, European Journal of Operational Research, 203, 539-549. https://doi.org/10.1016/j.ejor.2009.07.031
  30. J. K. Shin, C. H. Lee & B. S. Son. (2010). A Study on Important Factors influencing Operation Efficiency of the Logistics Center. Korea Journal of Logistics, 20(2), 141-158.
  31. P. L. Kim. (2011). A Study on the Performance Evaluation System for the Logistics Centers by Post Occupancy Evaluation. Doctoral dissertation. Incheon University, Incheon.
  32. J. K. Seong, S. T. Bae & H. J. Byeon (2012). Design and operation of logistics center. Seoul : Hongrung publishing company.
  33. U. M. Choi. (2015). A Logistics-based Cost-benefit Analysis on Collaborative Distribution Centers for Retail Shops. Master dissertation. Konkuk University, Seoul.
  34. H. Y. Jung & D. J. Kim. (2013). A Study of Drawing the Priority and Selecting Factors for Measuring the Efficient Logistics Performance of Korean Logistics Companies. Korea Productivity Association, 27(1), 443-477.
  35. S. H. Jo. (2015). Selection Factors for Logistics Warehouse in Port hinterland-Focusing on Port of Incheon. Master dissertation. Incheon Univsersity, Incheon.
  36. K. W. Kim. (2018). A study on the selection of logistics center's order priority with Fuzzy theory. Master dissertation. Myongji University, Seoul.
  37. T. J. Koo. (2018). A Study on the Analysis of Success Factors about Domestic Frozen and Refrigerated Warehouses using Fuzzy-AHP. Master dissertation. Incheon University, Incheon.
  38. S. J. Lee, C. M. Jung & H. J. Lee. (2000). Applications of Fuzzy Theory on The Location Decision of Logistics Facilities. Journal of Korean Society of Transportation, 18(1), 75-85.
  39. C. W. Cho. (2006). An Integrated Methodology of Knowledge-based Rules with Fuzzy Logic for Material Handling Equipment Selection. Korea Intelligent Information Systems Society, 12(1), 57-73.
  40. G. T. Yeo. (2008). An Evaluation on System Level of Sea Port Logistics of Incheon. Journal of navigation and port research, 1-127.
  41. S. Y. Kim, H. Park & H. M. Jang. (2014). A Study on Revitalization of Short Sea Shipping using Fuzzy-AHP, The Journal of shipping and logistics, 82, 493-515.
  42. D. H. Yeun & Y. S. Choi. (2012). A Priority Analysis of the Infrastructure for the Logistics Industry. Journal of Korean Navigation and Port Research, 36(1), 43-49. https://doi.org/10.5394/KINPR.2012.36.1.43
  43. D. H. Yeun & Y. S. Choi. (2011). Analysis of Logistics Network between Gwangyang Port and China Ports using Fuzzy-AHP. The Korea Port Economic Association, 27(4), 91-107.
  44. Y. T. Park. (2015). A Study on Logistics Distribution Industry's IoT Situation and Development Direction. Management & Information Systems Review, 34(3), 141-160. https://doi.org/10.29214/damis.2015.34.3.008
  45. S. K. Lee & T. S. Jung. (2016). Smart logistics in big data era. industrial engineering magazine, 23(4), 13-20.
  46. M. S. Seo. (2017). Effect on Corporation's Performance and Logistics by developing Distribution Industry to Omni-Channel. Master dissertation. Korea Aerospace University, Goyang.
  47. H. K. Park. (2017). Smart supply chain management: Strategy derived using AHP. The Journal of shipping and logistics, 94, 321-337. https://doi.org/10.37059/tjosal.2017.33.2.321
  48. R. J. Chao & Y. H. Chen. (2009). Evaluation of criteria and effectiveness of distance e-learning with consistent fuzzy preference relations. Expert Systems with Applications 2009, 36, 10657-10662. https://doi.org/10.1016/j.eswa.2009.02.047
  49. T. C. Wang & Y. L. Lin. (2009). Applying the consistent fuzzy preference relaitons to select merger strategy for commercial banks in new financial environments. Expert Systems with Applications, 36, 7019-7026. https://doi.org/10.1016/j.eswa.2008.08.023
  50. Stank, Theodore P., Goldby, Thomas J., Vickery, Shawnee K. & Savitskie, Katrina. (2003). Logistics service performance; Estimating Its Influence on Market Share, Journal of Business Logistics, 24(1), 27-56. https://doi.org/10.1002/j.2158-1592.2003.tb00031.x
  51. M. Adler & E. Ziglio. (1996). Gazing into the oracle: The Delphi method and its application to social policy and public health, Jessica Kingsley Publishers.
  52. Z. Ma, C. Shao, S. Ma & Z. Ye. (2011). Constructing road safety performance indicators using fuzzy delphi method and grey delphi method. Expert Systems with Applications, 38.
  53. H. S. Jung, M. Y. Park, H. W. Lim & J. W. Lim. (2016). Final report on how to improve the competitiveness of parcel business by utilizing the logistics warehouse, Inha University's Industrial-Academic Cooperation Group.
  54. K. S. Kang, D. Y. Kang, Y. J. Kim, H. I. Kim. S. J. Oh & J. E. Yoo. (2015). Enhancement of Omni Channel through Next Generation Integrated Logistics Center. The Korean Institute of Industrial Engineers, 11, 1-15.
  55. S. G. Kim, Y. S. Choi & J. S. Shin. (2013). A Study on the Location Selection of Retail Stores in Local Small City. Journal of Industrial Economics and Business, 26(5), 2361-2377.
  56. J. J. Cheol & J. Y. Park. (2015). A Case Study on the Competitiveness Reinforcement of Joint Distribution Center of Small and Medium-Sized Businesses. Management education review, 30(1), 93-119.
  57. T. D. Lee, Y. J. Kim & M. H. Oh. (2016). A Study of the current logistics warehouse for the implementation of Green Logistics. Architectural Institute of Korea, 36(2), 1206-1207.
  58. Y. J. Kwon. (2012). High-tech logistics technologies of the future. Magazine of the IEEK, 39(5), 20-25.
  59. Y. T. Kim, D. S. Yoo, Y. S. Yoo & J. H. Park. (2012). Trends in Smart Transportation Center and Storage Equipment. Magazine of the IEEK, 39(5), 59-68.
  60. J. W. Lee. (2015). A Study on the Trends and Perceptions of Automated Logistics Equipment Markets. East Asian logistics trends, 2015(86), 92-101(10).
  61. Y. J. Seo & J. W. Jung. (2015). The Motivations on Material Handling Automation and Firm Operational Performance. The Korean Institute of Industrial Engineers, 2015(4), 2129-2135.
  62. K. D. Kwon. (2016). study on Impleentation of Warehous Management System for Automation. Master dissertation. Kong-ju University, Kong-ju.
  63. S. G. Baek. (2017). Next Logistics - Logistics 4.0 Coming Up, Samsung SDS White Paper.
  64. S. C. Jeong & G. R. Choi. (2017). Development ofDistributionCenterManagement Systemfor Supporting Omni-Channel Environment. Proceedings of KIIT Summer Conference, 2017(12), 237-239.
  65. H. S. Lee. (2016). Fusion trend of distribution and logistics industry and countermeasures of logistics industry, The Business Logistics.
  66. B. R. Shin. (2018). A study on the Logistics Quality Management of Online Retail Firms. Master dissertation. Choung-Ang University, Seoul.
  67. K. W. Choi. (2015). An Empirical Study on the Selection of Multi-channel Logistics Operation Model for Domestic Distribution Industry. Doctor dissertation. Myoungji University, Seoul.
  68. C. D. Gong. (2007). A Study on Identifying Factors for Logistics Strategy Formulation. Master dissertation. Incheon University, Incheon.
  69. Money today (2017.12.14.): http://news.mt.co.kr/mtview.php?no=2017121415095088713
  70. S. D. Yeom & T. W. No. (2016). A Study on the Determinant of Logistics Warehouse Location - Focusing on the Yongin-si -. Korea real estate academy (KREA), 67, 73-86.
  71. M. H. Kang, J. W. Roh & S. K. Lee. (2015). An Experimental Study on the Disribution Service Quality and Customers' Satisfaction as the Infrastructure for the e-Commerce: Recognition Comparison of Korea and China, The e-Business Studies, 16(3), 51-76. https://doi.org/10.15719/GEBA.16.3.201506.51
  72. C. B. Le & J.H. Yang. (2008). A Empirical Study on The Effects of Logistics Agility on the Business Performance, Journal & Artical Management System, 23(3), 25-47.
  73. H. Y. Kim & S. R. Song. (2017). A Study of Policy Direction on 020 Industry developing. Journal of Digital Convergence, 15(5), 13-25. https://doi.org/10.14400/JDC.2017.15.4.13