DocumentCode :
2795799
Title :
Determining job completion time distributions in stochastic production environments
Author :
Hasan, C. Nirmal ; Spearman, Mark L.
Author_Institution :
Dept. of Ind. Eng. & Manage. Sci., Northwestern Univ., Evanston, IL, USA
fYear :
1995
fDate :
3-6 Dec 1995
Firstpage :
837
Lastpage :
845
Abstract :
As responsiveness becomes more of a competitive issue, knowledge of completion times of jobs and orders on the shop floor is key to the success and even survival of many manufacturing firms. We present two approaches-a fast sample path generation technique and a numerical technique-to determine the distribution of completion times of jobs in stochastic production environments. We compare our results with those obtained from conventional discrete event simulation and also compare speed of execution. We also show that the distribution obtained from the numerical integration technique provides a lower bound to the actual distribution of the completion times
Keywords :
discrete event simulation; integration; manufacturing data processing; production control; stochastic processes; competitive issue; discrete event simulation; fast sample path generation technique; job completion time distributions; manufacturing firms; numerical integration technique; shop floor; stochastic production environments; Context-aware services; Costs; Delay; Discrete event simulation; Industrial relations; Job production systems; Job shop scheduling; Manufacturing processes; Stochastic processes; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference Proceedings, 1995. Winter
Conference_Location :
Arlington, VA
Print_ISBN :
0-78033018-8
Type :
conf
DOI :
10.1109/WSC.1995.478867
Filename :
478867
Link To Document :
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