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:: Search published articles ::
Showing 2 results for Yu

Wenqing Wu, Yinghui Tang, Miaomiao Yu,
Volume 1, Issue 1 (5-2014)
Abstract

This paper studies an M/G/1 repairable queueing system with multiple vacations and N-policy, in which the service station is subject to occasional random breakdowns. When the service station breaks down, it is repaired by a repair facility. Moreover, the repair facility may fail during the repair period of the service station. The failed repair facility resumes repair after completion of its replacement. Under these assumptions, applying a simple method, the probability that the service station is broken, the rate of occurrence of breakdowns of the service station, the probability that the repair facility is being replaced and the rate of occurrence of failures of the repair facility along with other performance measures are obtained. Following the construction of the long-run expected cost function per unit time, the direct search method is implemented for determining the optimum threshold N* that minimises the cost function.
Mohammad Hossein Zavvar Sabegh, Yucel Ozturkoglu, Taebok Kim,
Volume 3, Issue 4 (2-2016)
Abstract

The main aim of the study is to examine the influence of both external and internal actors on green supply chain management (GSCM) practices. By the way, this paper is to provide a first-hand understanding about the procedures taken by Turkish business firms and their logistics providers and supply chain business firms to operate in an environmental friendly supply chain. The result of this research is very important to promote performance of Turkish business relations in green perspectives. To find the right answers, comprehensive questionnaire forms were designed. We collect data from 2014 May to 2015 July through the Turkish companies. More than 180 companies have contributed in this great research. We analyzed data by statistical methods. One of the important results is the third party logistics service providers influence firms have a proactive green behavior.

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International Journal of Supply and Operations Management International Journal of Supply and Operations Management
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