iosr-JMCE   Volume-7 ~ Issue-2

Abstract: Performance parameters of a terminal service operation in port can be determined using numerous methods available in the literature. The terminal service operations mostly anaytically modelled based on queueing theory formulation, fuzzy methods or game theory approach. In some cases, simulation models frequently used to get deeper and more details performance measures of the system. In this paper, we use analytical matrix algebraic approach to represent terminal operation and customer's service system in port. In this approach, we try to make broader disaggregation of customer's type in the system, based on customer service time and customer's service cost. Our model is amenable, especially when waiting time was considered costly for a part of customer, whereas others concern mostly on service cost. Our model has been proved satisfied to analyze service operation for liquid terminal handling CPO cargo in Port of Dumai, Indonesia. Further applications of the model are open for similar service system.

Keywords – Port operation, liquid terminal, matrix algebraic approach

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[6] Ahn, Hyun-soo, and Mark E. Lewis, Flexible Server Allocation and Customer Routing Policies for Two Parallel Queues when Service Rates are not Additive, 2011.
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Abstract: The growing train movement and people activities around the railroad will increase the frequency of traffic in railroad crossing. This potentially results in the increase in traffic accidents. The prediction of the number of such accidents is influenced by some factors dealing with variables on sensory psychological behaviors and the perception of the drivers passing the crossings. Observations were made at 33 points railroad crossing with not guardrail in East Surabaya DAOP VIII. The responsive variables are determined by the explaining variables namely the number of train accidents in railroad crossing. The explaining variables are those determining the value of responsive variables, consisting of three factors namely train engineering features, road engineering features and environment. The last Poisson regression model possesses four determining variables significant with the number of accidents, that is the train speed, the distance of signs and the railroad crossing, flashing lamps and the average daily traffic. The train speed seems to be a primary factor contributing to the high level of accidents. The results of sensivity analysis show that if the train speed increases of 50%, the number of accidents will increase 40%. Facilities that should be quickly provided are among others: provision and installation of flashing lamps and EarlyWarning System (EWS).

Key word: railroad crossing, train engineering features, road engineering features, environment factor, Poisson regression

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Abstract: This paper investigates the parameters affecting the roughness of surfaces produced in the turning process for the material AISI-1016 Steel. Design of experiments was conducted for the analysis of the influence of the turning parameters such as cutting speed, feed rate and depth of cut on the surface roughness. The results of the machining experiments for AISI-1016 were used to characterize the main factors affecting surface roughness by the Analysis of Variance (ANOVA) method. The feed rate was found to be the most significant parameter influencing the surface roughness in the turning process.

Keywords - AISI-1016 steel, ANOVA, surface roughness, Taguchi method, turning.

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