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REPOMAN: AN OVERALL COMPUTER-AIDED DECISION SUPPORT SYSTEM FOR PLANNING RAIL REPLACEMENTS

D Acharya, Rabi G. Mishalani, C D Martland, James Eshelby

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Abstract

The North American railroad industry spends hundreds of millions of dollars annually on installation of rails. Decisions made by different rail experts are likely to be inconsistent and result in an inefficient utilization of resources. This paper describes a computer-aided decision support system that uses expert systems, knowledge systems, and network optimization methods to efficiently arrive at a solution to the rail replacement scheduling problem. The scheduling system efficiently utilizes the automatically collected rail profile data obtained from the electronic rail profile measurement technology to produce a five-year rail replacement plan. This system has been successfully used to analyze about 20 percent of Burlington Northern Railroad's mainline track.

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What this paper is about

The North American railroad industry spends hundreds of millions of dollars annually on installation of rails. Decisions made by different rail experts are likely to be inconsistent and result in an inefficient utilization of resources. This paper describes a computer-aided decision support system that uses expert systems, knowledge systems, and network optimization methods to efficiently arrive at a solution to the rail replacement scheduling problem. The scheduling system efficiently utilizes the automatically collected rail profile data obtained from the electronic rail profile measurement technology to produce a five-year rail replacement plan. This system has been successfully used to analyze about 20 percent of Burlington Northern Railroad's mainline track.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The North American railroad industry spends hundreds of millions of dollars annually on installation of rails. Decisions made by different rail experts are likely to be inconsistent and result in an inefficient utilization of resources. This paper describes a computer-aided decision support system that uses expert systems, knowledge systems, and network optimization methods to efficiently arrive at a solution to the rail replacement scheduling problem. The scheduling system efficiently utilizes the automatically collected rail profile data obtained from the electronic rail profile measurement technology to produce a five-year rail replacement plan. This system has been successfully used to analyze about 20 percent of Burlington Northern Railroad's mainline track.

Key concepts: Scheduling (production processes), Plan (archaeology), Decision support system, Expert system, Operations research, Rail network, Decision system, Engineering

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REPOMAN: AN OVERALL COMPUTER-AIDED DECISION SUPPORT SYSTEM FOR PLANNING RAIL REPLACEMENTS — Research Paper | ScholarLens