Production Scheduling Model and Flexibility of its Algorithm

Author

Pan Yu ; Pan Fang

Author_Institution

Coll. of Manage. Sci. & Eng., Nanjing Univ. of Technol., Nanjing

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

3

Abstract

According to the uncertainty of the environmental factors of production scheduling in enterprise, model and its optimization algorithm with flexible decision mechanism is constructed. Job-shop scheduling problem (JSP) is a NPC problem. On the foundation of modern intelligent algorithm, and embedded Agent function, on-line identification, self-learning, and self-adjustment are realized in scheduling. Its decision efficiency is improved, and the practical application problem of JSP is solved.

Keywords

decision making; job shop scheduling; optimisation; uncertainty handling; NPC problem; embedded agent function; environmental factors; flexible decision mechanism; intelligent algorithm; job-shop scheduling problem; online identification; optimization algorithm; production scheduling; selfadjustment; selflearning; Dispatching; Dynamic scheduling; Educational institutions; Engineering management; Job shop scheduling; Machining; Production; Scheduling algorithm; Technology management; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.2793

Filename

4680982