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Integrated RAMS, LCC and Risk Assessment for Maintenance Planning for Railways

In: Advances in RAMS Engineering

Author

Listed:
  • Adithya Thaduri

    (Luleå University of Technology)

  • Uday Kumar

    (Luleå University of Technology)

Abstract

As of today, about 70% of the transportation infrastructure has already built for the needs of customers, business and society, where Railways is the major infrastructure. Due to huge investment for renewal and overhaul, there is emergent need to maintain the infrastructure with high availability with minimum cost and risk, being, transportation is the backbone of the economy. These infrastructures normally lead to degradation due to operational loads, environmental factors and frequent interventions. Hence, planning and optimization of the maintenance actions with the constrained resources is implemented properly for the efficient operation. Due to the hierarchical nature of Railways, there is necessary for railway infrastructure managers to design a generic framework for the decision-making process when planning maintenance and interventions, which is an important functional block of asset management in railway infrastructures. This chapter proposes an integrated methodology to perform maintenance decision making using definitive “building blocks” namely Reliability, Availability, Maintainability and Safety (RAMS), Life Cycle Costing (LCC) and Risk assessment. It has to incorporates the “building blocks” at different planning levels in asset hierarchy; namely network, route, line and component and planning hierarchy; namely Strategic Asset Management Plan (SAMP), Route Asset Plan (RAP), Route Delivery Plan (RDP) and Implementation of Asset Maintenance Plan (IAMP) as proposed in IN2SMART which was renamed from ISO 55000 Asset Management Framework.

Suggested Citation

  • Adithya Thaduri & Uday Kumar, 2020. "Integrated RAMS, LCC and Risk Assessment for Maintenance Planning for Railways," Springer Series in Reliability Engineering, in: Durga Rao Karanki & Gopika Vinod & Srividya Ajit (ed.), Advances in RAMS Engineering, pages 261-292, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-030-36518-9_11
    DOI: 10.1007/978-3-030-36518-9_11
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