Skip to main content
Kent Academic Repository

SERVICEABILITY METHODOLOGIES (Report Ref. No. 12/RG/01/4)

Chadwick, Paul, Heather, Andrew, Smith, Bill Hume, Hydes, Owen, Manidaki, Maria, Plaha, Malvinder, Wu, Shaomin (2012) SERVICEABILITY METHODOLOGIES (Report Ref. No. 12/RG/01/4). UK Water Industry Research Limited, 209 pp. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:65455)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://ukwir.co.uk/reports/12-RG-01-4/66903/Servi...

Abstract

Mott MacDonald was appointed by UK Water Industry Research to undertake a review of Ofwat’s serviceability methodologies. This Final Report reviews the existing approach to serviceability, the approaches used in other comparator sectors and jurisdictions, and the potential impact of future changes to the regulatory environment. The report then considers the implications of the findings of these reviews and sets out proposals for further developing a self-assessment approach to serviceability for Ofwat to consider as part of its future regulation programme. The proposals build on the approach to serviceability that has been developed over the last three AMPs and seek to create a much stronger link between service risk analysis undertaken under the Capital Maintenance Planning Common Framework (CMPCF) and serviceability outputs used for monitoring.

At the time of writing substantial parts of the future regulatory framework in England and Wales remain uncertain as Ofwat’s future regulation programme has yet to reach final conclusions in many areas. Nevertheless in making recommendations account has been taken of the thinking that Ofwat has published, particularly under its Future Price Limits and Regulatory Compliance projects.

Item Type: Research report (external)
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Shaomin Wu
Date Deposited: 14 Dec 2017 14:43 UTC
Last Modified: 05 Nov 2024 11:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/65455 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.