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Operational Efficiency Model for a Railway Transit in the Philippines

Published: 29 May 2020 Publication History

Abstract

This paper presents a model for a railway transit in the Philippines focusing on the operations of the whole line in order to reduce the queuing time spent by every passenger in the system. Based on the assessment of the current operations, this railway transit was unable to provide efficiency and satisfaction to the passengers due to the long queuing time experienced by them especially during peak hours. This paper assessed the factors that affect the waiting time and determine significant factors that contribute to the issue using analysis of variance (ANOVA) and Tukey's Post Hoc Test and using various industrial engineering tools such as motion and time study, forecasting, queuing analysis, and simulation to develop the model. This paper presents different simulated scenarios such as controlled volume of passengers in the platform, additional trains and cars, number of servers, schedule for skipping trains, maximizing the speed of trains, and fixed dwell time to reduce the waiting time of passengers, and to improve efficiency of the operations of the railway transit.

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    MSIE '20: Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering
    April 2020
    341 pages
    ISBN:9781450377065
    DOI:10.1145/3396743
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    • College of Technology Management, National Tsing Hua University, Taiwan

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    Published: 29 May 2020

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    Author Tags

    1. Operations efficiency
    2. model
    3. queuing analysis
    4. railway transit
    5. simulation

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