Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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This article considers a two-commodity continuous review inventory system at a service facility, wherein an item demanded by a customer is issued after performing service on the item. The service facility is assumed to have a finite waiting hall. The arrival time points of customers form a Poisson process. A customer with probability p and a negative customer with probability q = ( l – p ) , ( 0 ≤ p ≤ l ) .An ordinary customer, on arrival, joins the queue and the negative customer does not join the queue and takes away one waiting customer if any. The life time of each item and service time are assumed to have independent exponential distribution. The joint probability distribution of the number of customers in the system and the inventory level is obtained in the steady state. Various system performance measures in the steady state are derived. The results are illustrated numerically.
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Anbazhagan, N. 2012. \u201cTwo-Commodity Inventory System for Base-Stock Policy with Service Facility\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 12 (GJSFR Volume 12 Issue F1): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
The methods for personal identification and authentication are no exception.
Total Score: 110
Country: Unknown
Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision
Authors: Dr. Gomathi, D., Jeganathan. K.,Anbazhagan, N (PhD/Dr. count: 1)
View Count (all-time): 115
Total Views (Real + Logic): 5210
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Publish Date: 2012 12, Mon
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This article considers a two-commodity continuous review inventory system at a service facility, wherein an item demanded by a customer is issued after performing service on the item. The service facility is assumed to have a finite waiting hall. The arrival time points of customers form a Poisson process. A customer with probability p and a negative customer with probability q = ( l – p ) , ( 0 ≤ p ≤ l ) .An ordinary customer, on arrival, joins the queue and the negative customer does not join the queue and takes away one waiting customer if any. The life time of each item and service time are assumed to have independent exponential distribution. The joint probability distribution of the number of customers in the system and the inventory level is obtained in the steady state. Various system performance measures in the steady state are derived. The results are illustrated numerically.
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