Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
권호 표지

A Design and Development of Part Management System including Capabilities from Data Management to Order Management

데이터 관리에서 발주 관리까지 기능을 포함하는 부품 관리 시스템의 설계와 개발

  • Rhee, Young (Keimyung University, Industrial and Management Engineering)
  • 이영 (계명대학교 경영공학과)
  • Received : 2011.10.07
  • Accepted : 2012.01.25
  • Published : 2012.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

Service Parts Management is defined as a supply management associated with service parts from the part suppliers to the final customer. A series of process to improve the customer service level by forecasting the demand and to minimize cost by maintaining the inventory level is included. Uniqueness such as missing value correction, the data pattern analysis and planned order system is designed and implemented. Main feature of order management system is to calculate order amount and order time based on selection of optimal forecasting algorithm.

Keywords

References

  1. 권재현; "SCM 구축을 위한 협업적 수요예측 모형 개발 : 통신장비 제조 산업의 협업 수요예측 실제 사례 모형 연구", 인천대학원 석사학위논문, 2003.
  2. 이 영; "시간 의존적인 데이터 패턴의 그룹화를 위한 알고리즘 비교", 계명대 산업기술연구소, 34(1) : 347- 353, 2011.
  3. 이 영; "부품서비스 관점에서 분배 알고리즘을 적용한 수요예측 엔진의 설계 및 개발에 관한 연구", 산업경영시스템, 34(4) : 169-178, 2011.
  4. Burger, G. et al.; "A practitioners guide to time-series methods for tourism demand forecasting-a case study of Durban, South Africa," Tourism Management, 22(4), 2001.
  5. Yue, X. and Liu, J.; "Demand forecast sharing in a dualchannel supply chain," European Journal of Operation Research, 174(1) : 646-667, 2006. https://doi.org/10.1016/j.ejor.2004.12.020
  6. Johnston, F. R.; "Forecasting for items with Intermittent Demand," Journal of Operation Research Society, 47(1) : 113-121, 1996. https://doi.org/10.1057/jors.1996.10
  7. Kulendran, N. and Witt, S. F.; "Forecasting the Demand for International Business Tourism," Journal of Travel Research, 41(3), 2003.
  8. http://www.servigistics.com/solutions/.
  9. http://www.sas.com/technologies/analytics/forecast.
  10. http://www.mercia.com or http://www.theautochannel.com/ news/2001/02/12/014572.html.