NDLI: A cross-entropy heuristic statistical modeling for determining total stochastic material handling time

Content Provider	Springer Nature Link
Author	Fazlollahtabar, Hamed Olya, Mohammad Hessam
Copyright Year	2012
Abstract	This paper concerns with proposing a heuristic statistical technique to compute total stochastic material handling time in an automated guided vehicle (AGV) equipped jobshop manufacturing system. With respect to stochastic times of AGVs material handling process, the material handling activities probability distributions are considered. Using the probability distributions, we model the AGV material handling problem using a heuristic statistical method when the activities’ probability distribution functions are the same. Also, in the case that the activities’ probability distribution functions are different, a cross-entropy approach is proposed and developed to model the problem. The effectiveness of the proposed model is illustrated in a numerical example and verified by a simulation study. The numerical experiments are worked out in two cases, namely having same probability distributions and different probability distributions for activities. Both cases are verified by simulation study using different simulation softwares showing the efficiency of the employed approaches. In case 1, the deviation of ARENA from the proposed statistical model is estimated to be 0.5 % while for other softwares detailed in the experiments the value of deviations are more than 30 %. On the other hand, in case 2 again ARENA performed better than others having the deviation of 0.3 % from the proposed cross-entropy.
Starting Page	1631
Ending Page	1641
Page Count	11
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	67
Issue Number	5-8
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2012-11-09
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Automated guided vehicle (AGV) Jobshop manufacturing system Stochastic time Statistical technique Cross-entropy (CE) Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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