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Two Water Supply Systems (WSSs) have been operating and providing drinking water services to two discrete districts, namely, Second Ayno Maina (AM-WSS), District 10, owned and managed by a private sector: AFCO Corporation, and Central Kandahar (CK-WSS), Share-Naw, District 2, owned and managed by government entity: Department of Kandahar Water Supply and Sewerage, for four and ten years respectively. Both the WSSs use groundwater as source of drinking water, and due to overpopulation and urbanization, they tend to expand their services and improve their performances, despite the fact that the primary step to do so is the performance assessment of the existing systems, lacking at the moment and needs a careful consideration. Therefore, the research study is aimed at assisting the responsible authorities of the performances being carried by their existing systems and satisfaction level of their customers against the services provided, along with their international comparisons, with similar-typed associated water supply schemes. Two sets of primary data were collected, including service-provider-driven and customer-driven, from relevant authorities and districts respectively. More specifically, for consumer-driven data collection, 66 and 75 questionnaires were distributed to the consumers of (AM-WSS) and (CK-WSS) respectively. Both the data set was classified as the input and output performance indicators (PIs), and was analyzed using SPSS, DEAP and Ms. Excel softwares, in compliance with Data Envelopment Analysis (DEA) methodology. The findings showed that (AM-WSS) had a relative technical efficiency, te of 1 (100 %), whereas CK-WSS had a te of 0.545. As a result, CK-WSS was the only System considered and recommended for amendments. Furthermore, the analysis of the findings showed that CK-WSS needed to focus on decreasing the staff size and total expenditure by 45 % to comply with optimization. The team recommends to train their personnel and reduce the number by 45 %, and additionally recommends to collect, keep and register all the necessary data of the schemes in an organized manner for future demands, plans, rehabilitation, performance, and improvements of the corresponding components of their systems.

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References

  1. Ahmetovic, E. & Grossmann I.E, (2011). Global Superstructure optimization for the design of integrated process water network. AIChE journals 57 (2), 434 – 457.
     Google Scholar
  2. Arab Countries Water Utilities Association (ACWUA). (2010). Key performance indicators and benchmarking for water utilities in the MENA/Arab Region, ACWUA 1st regional training course, supported by Alexandria water company, Alexandria, Egypt. 4 8 July 2010.
     Google Scholar
  3. Arab Countries Water Utilities Association (ACWUA). (2010). Key performance indicators and benchmarking for water utilities in the MENA/Arab Region, 1st Arab Water Week, Amman Jordan. 8–9 December 2010.
     Google Scholar
  4. ADB. (2012). Handbook for selecting performance indicators for ADB-funded projects in the PRC, Asian Development Bank, cited on July 2012.
     Google Scholar
  5. Alegre, H. (1999). Performance Indicators for Water Supply Systems. In Drought Management Planning in Water Supply Systems. Edited by E. Cabrera and J. Garcla Serra. pp. 148–178. Alegre, H., Hirner, W., Baptista, J.M., and Parena, R. 2000. Performance indicators for water supply services, Manual of Best Practice Series, IWA Publishing, London.
     Google Scholar
  6. Alegre, H., Bapista, J.M., Cabrera, E., Jr., Cubillo, F., Duarte, P., Hirner, W., Merkel, W., and Parena, R. (2006). Performance Indicators for Water Supply Services, Manual of Best Practice Series, IWA Publishing, London, UK.
     Google Scholar
  7. American Water Works Association (AWWA). (2004). Selection and definition of performance indicators for water and wastewater utilities. Water://Stats 2002 Distribution Survey. AWWA, Denver, Colo., USA.
     Google Scholar
  8. AWWA. (2008). Benchmarking - performance indicators for water and wastewater utilities: 2007 annual survey data and analysis report, USA.
     Google Scholar
  9. AWWA Research Foundation: Distribution Systems, Denver, Colo., USA. Lafferty, A.K., and Lauer, W.C. (2005). Benchmarking – Performance Indicators for Water and Wastewater utilities: Survey Data and Analysis report, American Water Works Association (AWWA), USA.
     Google Scholar
  10. Berg, C., and Danilenko, A. (2011). The IB-NET water supply and sanitation performance Blue Book, The International Benchmarking Network for Water and Sanitation Utilities Data book, Water and Sanitation Program, The World Bank, Washington D.C., p. 58849
     Google Scholar
  11. Brown, C.E. (2004). Making small water systems strong. Journal of Contemporary Water Research and Education, 128: 27–30. doi:10.1111/j.1936-704X.2004. mp128001005.x
     Google Scholar
  12. Dziegielewski, B., and Bik, T. (2004). Technical Assistance Needs and Research Priorities for Small Community Water Systems. Journal of Contemporary Water, 128: 13–20. doi:10.1111/j.1936-704X.2004.mp128001003.x
     Google Scholar
  13. Cooper, W. W., Seiford, L.M. & Zhu, J. (2014). Data Envelopment Analysis: History, Models and Interpretations. DOI: 10.1007/978-1-4419-6151-8_1
     Google Scholar
  14. Cooper, W. W., Seiford, L.M. & Tone K. (2007). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software, 2nd ed., Springer, New York, NY 10013, USA
     Google Scholar
  15. Erol, P., & Thoming, J, (2005). ECO-design of reuse and recycling networks by multi-objective optimization. Journal of cleaner production 13 (15), 1492-1503.
     Google Scholar
  16. Haziq M. A. and Panezai S., (2017), “An Empirical Analysis of Domestic Sources Consumption and Associated Factors in Kandahar City, Afghanista”, Water Resources and Environmental Engineering Department, Kandahar University, Kandahar, Afghanistan, and Doctoral Student, Regional and Rural Development Planning, Asian Institute of Technology, (AIT) Thailand & Department of Disaster Management and Development Studies, University of Baluchistan, Quetta, Pakistan. 7(2): pp. 61 – 49.
     Google Scholar
  17. IWA. (2006). Performance Indicators for Water Supply Services, Manual of Best Practice Series, IWA Publishing, London, UK.
     Google Scholar
  18. Kirmeyer, G.J., Richards, W., and Smith, C.D. (1994). An assessment of water distribution systems and associated research needs.
     Google Scholar
  19. Ku-pineda, V., & Tan R.R., (2006). Environmental performance optimization using process water integration and sustainable process index. Journal of Cleaner Production 14 (18), 1586 – 1592.
     Google Scholar
  20. Lambert, A. (2003). Assessing non-revenue water and its components: a practical approach to water loss reduction, The IWA Water Loss Task Force, Water 21, Article No 2.
     Google Scholar
  21. Mamata R. S., Atul K. M. and Upadhyay V., (2011), “Benchmarking of North Indian urban water utilities”, Indian Institute of Technology-Delhi, New Delhi, India, Vol. 18 No. 1, pp. 106 – 86.
     Google Scholar
  22. Mkhitaryan, L. (2009). Towards performance based utility sector in Armenia: Case of dirking water supply scenario, A Program of EURASIA Partnership, Program, financed by the Carnegie Corporation of New York, Grants to Support Social Science and Policy-Oriented, Caucasus Research Resource Centers (CRRC), Armenia, Research # C08-0198.
     Google Scholar
  23. NRC. (1995). Committee on measuring and improving infrastructure performance, National Research Council, National Academy Press, Washington D.C., ISBN 0-309-050987.
     Google Scholar
  24. NRC. (2010). Framework for Assessment of State, Performance and Management
     Google Scholar
  25. of Canada’s Core Public Infrastructure, National Research Council Canada, Final Report B5332.5.
     Google Scholar
  26. Nurnberg, W.H. (2001). Performance assessment of water supply systems, German National Report, IWA- World Water Congress-Berlin 2001.
     Google Scholar
  27. NWC. (2012). National Performance Report 2010-2011: Urban Water Utilities, National Water Commission, Australian Government.
     Google Scholar
  28. OFWAT. (2003). Regulating Economic Level of Leakage in England and Wales, World Water Week. Washington, DC.
     Google Scholar
  29. OFWAT. (2010). Service and delivery – performance of the water companies in England and Wales 2009-10. Available from www.ofwat.gov.uk.
     Google Scholar
  30. OFWAT. (2010). Financial performance and expenditure of the water companies in England and Wales 2009-10. Available from www.ofwat.gov.uk [accessed August 2012].
     Google Scholar
  31. OFWAT. (2012). Key performance indicators – guidance. Available from www. ofwat.gov.uk. [Accessed August 2012].
     Google Scholar
  32. Stone, S., Dzuray, E.J., Meisegeier, D., Dahlborg, A.S., and Erickson, M. (2002). Decision-Support Tools for Predicting the Performance of Water Distribution and Wastewater Collection Systems. USEPA.
     Google Scholar
  33. Theuretzbacher-Fritz, H., Schielein, J., Kiesl, H., Kölbl, J.R., Neunteufel, R., and Perfler, R. (2005). Trans-national water supply benchmarking: the cross-border co-operation of the Bavarian EFFWB project and the Austrian OVGW project. Water Supply, 5(6): 273–280.
     Google Scholar
  34. Tokos H., Pintaric Z. N., Yang Y., (2012), “Bi-objective Optimization of a Water Network via Benchmarking”, Journal of Cleaner Production, PR China and Maribor, Slovenia. pp. 179 – 168.
     Google Scholar
  35. Tudor, R., & Lavric. V., (2010). Optimization of total networks of water using and treatment units by genetic algorithms. Industrial and Engineering Chemistry Research 49 (8), 3715 – 3731.
     Google Scholar
  36. USEPA. (2006). Distribution system indicators of drinking water quality, USEPA Office of Groundwater and Drinking Water, Washington DC.
     Google Scholar
  37. USEPA. (2006). Much effort and resources needed to help small drinking water systems overcome challenges, Report No. 2006-P-00026.
     Google Scholar
  38. USEPA. (2007). Distribution system inventory, integrity and water quality, Office of Ground Water and Drinking Water, Total Coliform Rule Issue Paper, Washington DC.
     Google Scholar
  39. USEPA. (2009). Drinking Water Infrastructure Needs Survey and Assessment, Fourth Report to Congress, Office of Water, Washington DC. EPA-816-R-09- 001.
     Google Scholar
  40. Van Der Willigen, F. (1997). Duth experience and viewpoints on performance indicators, IWSA Workshop on Performance Indicators for Transmission and Distribution Systems, Lisbon, Portugal.
     Google Scholar
  41. WB. (2002). A Water Scorecard, Public Policy for the Private Sector, The World Bank Group - Private Sector and Infrastructure Network.
     Google Scholar
  42. WB. (2010). A review in Bangladesh, India and Pakistan, benchmarking for performance improvement in urban utilities, Water and Sanitation Program, World Bank Report.
     Google Scholar
  43. WB. (2011). The IBNET water supply and sanitation performance Blue Book, The International Benchmarking Network for Water and Sanitation Utilities Data book, Water and Sanitation Program, The World Bank, Washington, DC, p. 58849.
     Google Scholar
  44. WHO. (2011). Guidelines for drinking-water quality, Fourth Edition, Geneva, Switzerland.
     Google Scholar
  45. WHO. (2012). UN-water global annual assessment of sanitation and drinking water (GLASS) 2012 report: the changes of extending sustaining services, UN Water Report 2012, Switzerland.
     Google Scholar
  46. Wibowo A. and Alfen H. W., (2014), “Benchmarking the Efficiencies of Indonesia’s Municipal Water Utilities using Stackelberg data envelopment analysis”, Research Instituted for Human Settlements, Ministry of Public Works, Bandung, Indonesia, and Chair of Construction Economics, Bauhaus University, Weimar, Germany, Vol. 22 No. 4, 2015 pp. 609 – 588.
     Google Scholar
  47. WOP-Africa. (2009). Water Operators Partnership African utility performance assessment, Final Report, Water and Sanitation Program.
     Google Scholar
  48. WSP. (2009). Benchmarking for improving water supply delivery, Water and Sanitation Program, Bangladesh Water Utilities Data Book, 2006–2007.
     Google Scholar