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الرئيسية > Measuring The Cost for some Si...>الوصف

Measuring The Cost for some Single Channel Waiting Line Models

المصدر: المجلة العلمية لقطاع كليات التجارة
الناشر: جامعة الأزهر - كلية التجارة
المؤلف الرئيسي: Al-Tayeb, Lobna Eid (Author)
مؤلفين آخرين: Ismail,Elham Abd Alrazik (Co-Author), Ali, Doaa Ahmed (Co-Author)
المجلد/العدد: ع19
محكمة: نعم
الدولة: مصر
التاريخ الميلادي: 2018
الشهر: يناير
الصفحات: 1 - 12
DOI: 10.21608/JSFC.2018.57125
ISSN: 2636-3674
رقم MD: 983093
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EcoLink
مواضيع:
وسائل الإتصالات | وسائل الإعلام | القنوات الفضائية | مصر | المجتمع المصري | مستخلصات الأبحاث
كلمات المؤلف المفتاحية:
Exponential Distribution | Gamma Distribution | Poisson Distribution | Single Channel Models | Waiting Line Cost | Weibull Distribution
رابط المحتوى:

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المستخلص: Queuing theory or waiting line models are basically a mathematical approach applied to the analysis of waiting lines. Most queuing models applications are centered on the question of finding the ideal level of services, waiting times and queue lengths. When an organization retain an excellent customer service. The customers are kept happy or satisfaction but for the an organization become expensive. Most managers recognize the trade – off that must take place between the cost of providing good service and the cost of customer waiting time. The objective of this study is to measure the cost for three single channel waiting line models. The aim of this study is to compare between three single channel waiting line models. The cost for the three single channel waiting line models is calculated with different distributions. The study results showed that the cost which calculated for the (M/D/1) model is less than the other two models when the same data are used. Second the results showed that the cost which calculated for the (M/G/1) model when the service rate (μ) is followed weibull distribution is less than the same model when the service rate (μ) is followed exponential and gamma distributions.
ISSN: 2636-3674

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