Production
https://prod.org.br/article/doi/10.1590/0103-6513.208316
Production
Research Article

Water distribution network segmentation based on group multi-criteria decision approach

Marcele Elisa Fontana; Danielle Costa Morais

Downloads: 1
Views: 772

Abstract

Abstract: A correct Network Segmentation (NS) is necessary to perform proper maintenance activities in water distribution networks (WDN). For this, usually, isolation valves are allocating near the ends of pipes, blocking the flow of water. However, the allocation of valves increases costs substantially for the water supply companies. Additionally, other criteria should be taking account to analyze the benefits of the valves allocation. Thus, the problem is to define an alternative of NS which shows a good compromise in these different criteria. Moreover, usually, in this type of decision, there is more than one decision-maker involved, who can have different viewpoints. Therefore, this paper presents a model to support group decision-making, based on a multi-criteria method, in order to support the decision making procedure in the NS problem. As result, the model is able to find a solution that shows the best compromise regarding the benefits, costs, and the decision makers' preferences.

Keywords

Maintenance activities, Network segmentation, Group decision-making, Multi-criteria approach, PROMETHEE GDSS method

References

Associação Brasileira de Normas Técnicas. (1994). NBR 12218/1994: project of water distribution network for public supply. Rio de Janeiro: ABNT. Retrieved in 5 April 2012, from http://www.abnt.org.br/

Brans, J. P., & Mareschal, B. (2009). PROMETHEE methods. In J. R. Figueira, S. Greco & M. Ehrgott (Eds.), Multiple criteria decision analysis: state of the art surveys (pp. 163-195). New York: Springer-Verlag. Retrieved in 23 November 2013, from http://www.springer.com/it/book/9780387230672

Brans, J. P., & Vincke, P. H. (1985). A preference ranking organization method: the PROMETHEE method. Management Science, 31, 647-656. http://dx.doi.org/10.1287/mnsc.31.6.647.

Brans, J. P., Vincke, P., & Mareschal, B. (1986). How to select and how to rank projects: the PROMETHEE method for MCDM. European Journal of Operational Research, 24(2), 228-238. http://dx.doi.org/10.1016/0377-2217(86)90044-5.

Cattafi, M., Gavanelli, M., Nonato, M., Alvisi, S., & Franchini, M. (2011). Optimal placement of valves in a water distribution network with CLP(FD). Theory and Practice of Logic Programming, 11(4-5), 731-747. http://dx.doi.org/10.1017/S1471068411000275.

Creaco, E., Franchini, M., & Alvisi, S. (2010). Optimal placement of isolation valves in water distribution systems based on valve cost and weighted average demand shortfall. Water Resources Management, 24(15), 4317-4338. http://dx.doi.org/10.1007/s11269-010-9661-5.

Di Nardo, A., Di Natale, M., Santonastaso, G. F., Tzatchkov, V. G., & Alcocer-Yamanaka, V. H. (2014). Water network sectorization based on genetic algorithm and minimum dissipated power paths. Water Science and Technology: Water Supply, 13(4), 951-957. http://dx.doi.org/10.2166/ws.2013.059.

Fontana, M. E., & Morais, D. C. (2013). Using PROMETHEE V to select alternatives so as to rehabilitate water supply network with detected leaks. Water Resources Management, 27(11), 4021-4037. http://dx.doi.org/10.1007/s11269-013-0393-1.

Fontana, M. E., & Morais, D. C. (2015). Segmentation model for water distribution networks based on the characteristics of consumer units. Production, 25(1), 143-156. http://dx.doi.org/10.1590/S0103-65132013005000071.

Fontana, M. E., & Morais, D. C. (2016). Decision model to control water losses in distribution networks. Production, 26(4), 688-697. http://dx.doi.org/10.1590/0103-6513.201815.

Giustolisi, O., & Ridolfi, L. (2014). New modularity-based approach to segmentation of water distribution networks. Journal of Hydraulic Engineering, 140(10), 04014049. http://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000916.

Giustolisi, O., & Savic, D. (2010). Identification of segments and optimal isolation valve system design in water distribution networks. Urban Water Journal, 7(1), 1-15. http://dx.doi.org/10.1080/15730620903287530.

Giustolisi, O., Berardi, L., & Laucelli, D. (2014). Optimal water distribution network design accounting for valve shutdowns. Journal of Water Resources Planning and Management, 140(3), 277-287. http://dx.doi.org/10.1061/(ASCE)WR.1943-5452.0000327.

Giustolisi, O., Kapelan, Z., & Savic, D. (2008). Extended period simulation analysis considering valve shutdowns. Journal of Water Resources Planning and Management, 134(6), 527-537. http://dx.doi.org/10.1061/(ASCE)0733-9496(2008)134:6(527).

Heller, L., & Pádua, V. L. (2006). Water supply for human consumption. Belo Horizonte: UFMG.

Jun, H., & Loganathan, G. V. (2007). Valve-controlled segments in water distribution systems. Journal of Water Resources Planning and Management, 133(2), 145-155. http://dx.doi.org/10.1061/(ASCE)0733-9496(2007)133:2(145).

Jun, H., Loganathan, G. V., Deb, A. K., Grayman, W., & Snyder, J. (2007). Valve distribution and impact analysis in water distribution systems. Journal of Environmental Engineering, 133(8), 790-799. http://dx.doi.org/10.1061/(ASCE)0733-9372(2007)133:8(790).

Macharis, C., Brans, J. P., & Mareschal, B. (1998). The GDSS PROMETHEE procedure – a PROMETHEE-GAIA based procedure for group decision support. Journal of Decision Systems, 7, 283-307.

Macharis, C., Springael, J., Brucker, K., & Verbeke, A. (2004). PROMETHEE and AHP: the design of operational synergies in multicriteria analysis: Strengthening PROMETHEE with ideas of AHP. European Journal of Operational Research, 153(2), 307-317. http://dx.doi.org/10.1016/S0377-2217(03)00153-X.

Mays, L. W. (Org.). (2000). Water distribution systems handbook. New York: McGraw-Hill.

Morais, D. C., Almeida, A. T., & Figueira, J. R. (2013). A sorting model for group decision making: a case study of water losses in Brazil. Group Decision and Negotiation, 23(5), 937-960. http://dx.doi.org/10.1007/s10726-012-9321-7.

Morais, D. C., Cavalcante, C. A. V., & Almeida, A. T. (2010). Prioritization of areas of loss control in water distribution networks. Pesquisa Operacional, 30(1), 15-32. http://dx.doi.org/10.1590/S0101-74382010000100002.

Morais, D., & Almeida, A. (2010). Water network rehabilitation: a group decision-making approach. Water S.A., 36(4), 487-493. http://dx.doi.org/10.4314/wsa.v36i4.58425.

Ozger, S., & Mays, L. W. (2004). Optimal location of isolation valves in water distribution systems: a reliability/optimization approach. In L. W. Mays (Ed.), Water resource systems management tools (chap. 7.1-7.24). New York: McGraw-Hill Education.

Silva Filho, J. L., Fontana, M. E., & Morais, D. C. (2014, October). Strategic Options Development and Analysis to identify criteria to evaluate segmentation problems of a water distribution network. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego. http://dx.doi.org/10.1109/SMC.2014.6973921.

Trojan, F., & Morais, D. C. (2012a). Using Electre TRI to support maintenance of water distribution networks. Pesquisa Operacional, 32(2), 423-442. http://dx.doi.org/10.1590/S0101-74382012005000013.

Trojan, F., & Morais, D. C. (2012b). Prioritizing alternatives for maintenance of water distribution networks: a group decision approach. Water S.A., 38(4), 555-514. http://dx.doi.org/10.4314/wsa.v38i4.11.

Walski, T. M. (1993a). Practical aspects of providing reliability in water distribution systems. Reliability Engineering & System Safety, 42(1), 13-19. http://dx.doi.org/10.1016/0951-8320(93)90050-9.

Walski, T. M. (1993b). Water Distribution Valve Topology for reliability analysis. Reliability Engineering & System Safety, 42(1), 1-21. http://dx.doi.org/10.1016/0951-8320(93)90051-Y.
 

58ff8b4b0e8825ba6dabdcf3 production Articles
Links & Downloads

Production

Share this page
Page Sections