Research on the ITOC based scheduling system for ship piping production

Rui Li , Yu-jun Liu , Kunihiro Hamada

Journal of Marine Science and Application ›› 2010, Vol. 9 ›› Issue (4) : 355 -362.

PDF
Journal of Marine Science and Application ›› 2010, Vol. 9 ›› Issue (4) : 355 -362. DOI: 10.1007/s11804-010-1020-7
Research Papers

Research on the ITOC based scheduling system for ship piping production

Author information +
History +
PDF

Abstract

Manufacturing of ship piping systems is one of the major production activities in shipbuilding. The schedule of pipe production has an important impact on the master schedule of shipbuilding. In this research, the ITOC concept was introduced to solve the scheduling problems of a piping factory, and an intelligent scheduling system was developed. The system, in which a product model, an operation model, a factory model, and a knowledge database of piping production were integrated, automated the planning process and production scheduling. Details of the above points were discussed. Moreover, an application of the system in a piping factory, which achieved a higher level of performance as measured by tardiness, lead time, and inventory, was demonstrated.

Keywords

piping factory / scheduling system / ITOC

Cite this article

Download citation ▾
Rui Li, Yu-jun Liu, Kunihiro Hamada. Research on the ITOC based scheduling system for ship piping production. Journal of Marine Science and Application, 2010, 9(4): 355-362 DOI:10.1007/s11804-010-1020-7

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Chiang T.C., Fu L.C. Using a family of critical ratio-based approaches to minimize the number of tardy jobs in the job shop with sequence dependent setup times. European Journal of Operational Research, 2009, 196(1): 78-92

[2]

Fredenall L.D., Lea B.R. Improving the product mix heuristic in the theory of constraints. International Journal of Production Research, 1997, 35: 1535-1544

[3]

Goldratt E.M. The Goal, 1984, New York: North River Press

[4]

Goldratt E.M. What is this thing called Theory of constraints and how should it be implemented?, 1990, New York: North River Press

[5]

Li R., Hamada K., Shimozori T. Development of a theory of constraints based scheduling system for ship piping production. Journal of Shanghai Jiaotong University (Science), 2010, 15(3): 354-362

[6]

Mabin V.J., Balderstone S. J. The performance of the theory of constraints methodology: analysis and discussion of successful TOC applications. International Journal of Operations & Production Management, 2003, 23(6): 68-95

[7]

Newbold R.C. Project management in the fast lane. Applying the theory of constraints, 1998, Boca Raton, FL, USA: St. Lucie Press

[8]

Ozdamar L., Yazgac T. Capacity driven due date settings in make-to-order production systems. International Journal of Production Economics, 1997, 49: 29-44

[9]

Stephen F.S., Mark S.F., Peng S.O. Construction and maintaining detailed production plans: investigations into the development of knowledge-based factory scheduling systems. AI Magazine, 1986, 7(4): 45-61

[10]

Singh R.K., Prakash A., Kumar S., Tiwari M.K. Psycho-clonal based approach to solve a TOC product mix decision problem. The International Journal of Advanced Manufacturing Technology, 2006, 29: 1194-1202

AI Summary AI Mindmap
PDF

132

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/