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Inventory management in railway sleepers: A simulation model for replacement strategies

Yun, Won Young & Ferreira, Luis (2000) Inventory management in railway sleepers: A simulation model for replacement strategies. In Symposium of the International Society of Inventory Research, 20-25 August 2000, Budapest, Hungary.

Abstract

This paper describes the development of a simulation model to assess the inventory requirements of alternative rail sleeper replacement strategies. The main aim of the model is to determine the optimal replacement strategy, given replacement costs and resultant train operating cost benefits. We consider the replacement problem under the following assumptions: The time to failure under constant stress follows a Weibull distribution and the scale parameter is a function of stress level and the three stress levels under normal (all adjacent units are good), medium-stress (one adjacent unit has failed) and high-stress conditions (two adjacent units are failed) are considered. The cumulative exposure model is used to model the failure distributions. The operational cost per unit time depends on the maximum number of consecutive failed units. The replacement cost consists of the fixed cost and variable cost proportional to the number of units replaced. A finite horizon is considered and total expected cost is a criterion for comparing the proposed policies. The model has been tested using rail system data and the results are presented in this paper.

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ID Code: 2529
Item Type: Conference Paper
Keywords: Simulation model, inventory management, railway sleepers, replacement strategies, optimisation, stress level, operational cost
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2000 (please consult author)
Deposited On: 15 Nov 2005
Last Modified: 11 Aug 2011 04:35

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