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

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

DOI QR Code

A Case Study on Application of Dispatching Rule-Based Advanced Planning and Scheduling (APS) System

디스패칭 룰 기반의 Advanced Planning and Scheduling (APS) 시스템 활용 사례연구

  • Lee, Jae-yong (Department of Industrial and Management Engineering, Hanbat National University) ;
  • Shin, Moonsoo (Department of Industrial and Management Engineering, Hanbat National University)
  • 이재용 (한밭대학교 산업경영공학과) ;
  • 신문수 (한밭대학교 산업경영공학과)
  • Received : 2015.07.17
  • Accepted : 2015.09.07
  • Published : 2015.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Up-to-date business environment for manufacturers is very complex and rapidly changing. In other words, companies are facing a variety of changes, such as diversifying customer requirements, shortening product life cycles, and switching to small quantity batch production. In this situation, the companies are introducing the concept of JIT (just-in-time) to solve the problem of on-time production and on-time delivery for survival. Though many companies have introduced ERP (enterprise resource planning) systems and MRP (material requirement planning) systems, the performance of these systems seems to fall short of expectations. In this paper, the case study on introducing an APS (advanced planning and scheduling) system based on dispatching rules to a machining company and on finding a method to establish an efficient production schedule is presented. The case company has trouble creating an effective production plan and schedule, even though it is equipped with an MRP-based ERP system. The APS system is applied to CNC (computer numerical control) machines, which are key machines of the case company. The overall progress of this research is as follows. First, we collect and analyze the master data on individual products and processes of the case company in order to build a production scheduling model. Second, we perform a pre-allocation simulation based on dispatching rules in order to calculate the priority of each order. Third, we perform a set of production simulations applying the priority value in order to evaluate production lead time and tardiness of pre-defined dispatching rules. Finally, we select the optimal dispatching rule suitable for work situation of the case company. As a result, an improved production schedule leads to an increase in production and reduced production lead time.

Keywords

References

  1. Bae, S.Y., Practical Goals and Approaches for the Informatization of Small and Medium Enterprises. Journal of the Society of Korea Industrial and Systems Engineering, 2005, Vol. 28, No. 4, pp. 41-47.
  2. Bae, S.Y., The Information of Dispatching Rules for Improving Job Shop Performance. Journal of the Society of Korea Industrial and Systems Engineering, 2006, Vol. 29, No. 4, pp. 107-112.
  3. Cha, D.J., A Study on Implementation of ERP, MES and APS Solution-purposed to Present a Selection Guide for Production Control Solution. [master's thesis]. [Korea] : Department of Management Korea National Open University, 2007.
  4. Cho, H.J., Park, S.M., and Nam, H.K., The Application of APS(Advanced Planning and Scheduling) based on DBR(Drum-Buffer-Rope) in SCM Environment. Journal of the Korean Supply Chain Management, 2004, pp. 83-91.
  5. Ha, G.R., Park, H.J., and Yoon S.H., Minimizing Total Tardiness in a Two Stage Assembly-type Flow Shop Scheduling Problem. Proceeding of Spring the Korean Institute of Industrial Engineers Conference, 2007, Vol. 19, No. 5, pp. 683-689.
  6. Ha, J.H., Lee, Y.G., and Ok, C.S., An Improvement on The Advanced Planning and Scheduling u sing The Analytical Hierarchy Process. Journal of the Society of Korea Industrial and Systems Engineering, 2011, Vol. 34, No. 3, pp. 123-133.
  7. Hwang, D.H., Nam, S.D., Cho, Y.W., Oh, S.I., La, S.H., and Kang, K.S., A Study on the Process Design of Advanced Planning and Scheduling for Transformer Operation Improvement. Journal of the Korea Safety Management and Science, 2012, Vol. 14, No. 2, pp. 159-166. https://doi.org/10.12812/ksms.2012.14.2.159
  8. Ji, Y.J., TOC/JIT/MRPintegration model for flexible production scheduling under dynamic manufacturing environment. [master's thesis]. [Gimhae, Korea] : Department of Broadband information and communication Inje University, 2004.
  9. Joo, C.M., A Study on the Development of an APS System for Job Shops. Proceeding of Spring the Korean Institute of Industrial Engineers Conference, 2004, Vol. 16, No. 2, pp. 64-66.
  10. Jung, N.K., Choi, J.K., Jung, S.H., and Kim, S.J., A Study of APS System Design based on the TOC DBR. Proceeding of Spring the Korean Institute of Industrial Engineers Conference, 2001, Vol. 13, No. 4, pp. 490-493.
  11. Kang, S.R., APS Concept and Applications. Review of Industry and Management, 2010, Vol. 22, No. 2, pp. 61-75.
  12. Kang, Y.S., Lee, H.J., Moon, K.W., Noh, S.K., and Lim, H.W., Advanced Planning System : A Prerequisite for Achieving Build-to-Order Environment. Proceeding of Korean Society of Precision Engineering Conference, 2002, Vol. 10, pp. 93-96.
  13. Kung, L. and Chern, C., Heuristic Factory Planning Algorithm for Advanced Planning and Scheduling. Computers and Operational Research, 2009, Vol. 36, No. 9, pp. 2513-253. https://doi.org/10.1016/j.cor.2008.09.013
  14. Lee, S.B., Jung, I.S., and Wang, G.N., The Implementation of Scheduling System Under MTO(make to order) Production System. Proceeding of Autumn the Korean Institute of Industrial Engineers Conference, 2004, Vol. 15, No. 11 pp. 424-429.
  15. Musselman, K.J., Reilly, O., and Duket, S., The Role of Simulation in Advanced Planning and Scheduling. Proceeding of Winter Simulation Conference, 2002, Vol. 2, pp. 1825-1830.
  16. Na, H.B., Seo, J.W., Park, C.K., and Park, J.W., A Study on Developing Scheduling Software According to Industrial Characteristics. Proceeding of Spring Korean Society of Precision Engineering Conference, 2008, Vol. 6, pp. 917-918.
  17. No, G.H., Park, S.T., and Kim, T.U., Analysis of the Structure and Impact of SCM Advanced Planning System : Lessons from POSCO Case. Journal of Digital Convergence, 2014, Vol. 12, pp. 145-155.
  18. Park, M.W., Choi, S.H., Lee, G.C., and Kim, Y.D., An Order Promising Procedure for Simulation-based Scheduling Systems. Proceeding of Spring the Korean Institute of Industrial Engineers, 2002, Vol.14, No. 5, pp. 103-108.
  19. Shin, M.S., Bae, S.M., Choi, S.W., and Lee, H.J., Development of Dispatching Rule-based Production Scheduler for Small and Medium Sized Manufacturing Company. Proceeding of Autumn the Korean Society of Manufacturing Technology Engineers Conference, 2013, Vol. 10, pp. 335-335.
  20. Steinaecker, J.V. and Kuhner, M., Supply Chain Management-Revolution oder Modewort?, The Publisher Vieweg+ Teubner Verlag, Deutschland; 2001.
  21. Yoo, H.J., SyncPlant APS Overview. Proceeding of Autumn the Korean Science and Financial Engineering Conference, 2010, Vol. 10, pp. 330-341.

Cited by

  1. 대형 유통매장의 고객을 위한 IoT기반 드라이브 스루 서비스 시스템 설계 vol.18, pp.11, 2015, https://doi.org/10.5762/kais.2017.18.11.151
  2. 작업완료시각 추정을 활용한 배치 스케줄링 및 사례 연구 vol.43, pp.4, 2020, https://doi.org/10.11627/jkise.2020.43.4.023
  3. 국내 OEM/ODM 화장품 제조기업의 생산계획 및 효율화를 위한 분산형 MRP시스템 개발 vol.43, pp.4, 2020, https://doi.org/10.11627/jkise.2020.43.4.133