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Optimizing Medical Waste Collection in Eskişehir by Using Multi-Objective Mathematical Model

Year 2017, Volume: 4 Issue: 4, 93 - 100, 27.12.2017

Abstract

Nowadays, transportation, because of the intense
need to be delivered to the market in terms of both products and commercial and
tourist activity in our times, is one of the vital sectors. Especially in
countries in which a large portion of the road transport and transport services
such as Turkey, road transport has become very important. This study made an
application related to collect the medical waste from hospitals in Eskişehir,
Turkey. In order to collect waste regularly, the route is extremely key factor.
In this study, a mathematical model is demonstrated to make an efficient route
path. The locations of hospitals are defined and the distances are calculated
in digital map. Subsequently, the monthly data are compared with the routes of
the vehicle that are suggested by developed model. In this article, a
generalized multi-objective vehicle routing model with collecting the medical
wastes from hospitals in Eskişehir is proposed. Some methods have been used to
combine the objective functions. Seven methods are applied to the mathematical
model and the results are compared to determine the most effective method to
combine the objective functions. The mathematical model has 2 objective functions.
These are to collect the medical waste by covering a minimum distance and
driving with minimum speed per hour.

References

  • Tung, D.V., Pinnoi, A.,’Vehicle routing-scheduling for waste collection in Hanoi’, European Journal of Operational Research, 125(3), 449-468, 2000.
  • Apaydin,O., Gonullu, M.T., ‘Emission control with route optimization in solid waste collection process: a case study’, Sadhana, 33(2), 71-82, 2008.
  • Tavares,G., Zsigraiova, Z., Semiao, V., Carvalho, M.D.G., ‘Optimization of MSW collection routes for minimum fuel consumption using 3D GIS modelling’, Waste Management, 29(3), 1176-1185, 2009.
  • Fan, X., Zhu, M., Zhang, X., He, Q., Rovetta, A., ‘Solid waste collection optimization considering energy utilization for large city area’, IEEE International Conference on Logistics Systems and Intelligent Management, 3, 1905-1909, 2010.
  • Arribas, C.A., Blazquez, C.A., Lamas, A., ‘Urban solid waste collection system using mathematical modelling and tools of geographic information systems’, Waste Management, 28(4), 355-363, 2010.
  • R. Galante, G., Aiello, G., Enea, M., Panascia, E., ‘A multi-objective approach to solid waste management’, Waste Management, 30(8), 1720-1728, 2010.
  • Larsen, A.W., Merrild, H., Moller, J., Christensen, T.H., ‘Waste collection systems for recyclables: an environmental and economic assessment for the municipality of Aarhus(Denmark)’, Waste Management, 30(5), 744-754, 2010.
  • Tan, Q., Huang, G.H., Cai, Y.P., ‘Identification of optimal plans for municipal solid waste management in an environment of fuzziness and two-layer randomness’, Stochastic Environmental Resources’ Risk Assessment, 24(1), 147-164, 2010a.
  • Tan, Q., Huang, G.H., Cai, Y.P., ‘Waste management with recourse: an inexact dynamic programming model containing fuzzy boundary intervals in objectives and constraints’, Journal of Environmental Management, 91(9), 1898-1913, 2010b.
  • Faccio, M., Persona, A., Zanin, G., ‘Waste collection multi-objective model with real time traceability data’, Waste Management, 31(12), 2391-2405, 2011.
  • Pires, A., Martinho, G., Chang, N.B., ‘Solid waste management in european countries: a review of systems analysis techniques’, Journal of Environmental Management, 92(4), 1033-1050, 2011b.
  • Tai, J., Zhang, W., Che, Y., Feng, D., ‘Municipal solid waste source-separated collection in China: a comparative analysis’, Waste Management, 31(8), 1673-1682, 2011.
  • Chatzouridis, C., Komilis, D., ‘A methodology to optimally site and design municipal solid waste transfer stations using binary programming’, Resource Consery, Recycling, 60, 89-98, 2012.
  • Gunalay, Y., Yeomans, J.S., Huang, G.H., ‘Modelling to generate alternative policies in highly uncertain environments: an application to municipal solid waste management planning’, Journal of Environmental Information, 19(2), 58-69, 2012.
  • Hemmelmayr, V.C., Doerner, K.F., Hartl, R.F., Vigo, D., ‘Models and algorithms for the integrated planning of bin allocation and vehicle routing in solid waste management’, Tranportation Science, 48(1), 103-120, 2013a.
  • Hemmelmayr, V.C., Doerner, K.F., Hartl, R.F., Rath, S., ‘A heuristic solution method for node routing based solid waste collection problems’, Journal of Heuristic, 19(2), 129-156, 2013b.
  • Mora, C., Manzini, R., Gamberi, M., Cascini, A., ‘Environmental and economic assessment for the optimal configuration of a sustainable solid waste collection system: a kerbside case study’, Production Planning Control, 25(9), 737-761, 2014.
  • Scneider, M., Srenger, A., Goeke, D., ‘The electric vehicle routing problem with time windows and recharging stations’, Transportation Science, 48(4), 500-520, 2014.
  • Ehrgott, M., ‘Multi-objective optimization’, Springer, 2004.
  • Bellmore, M., Nemhauser, G.L., ‘The travelling salesman problem: a survey’, Operations Research, 16(3), 538-558, 1968.
  • Kulkarni, R.V., Bhave, B.R., ‘Integer programming formulations of vehicle routing problems’, European Journal of Operational Research, 20(1), 58-67, 1985.
Year 2017, Volume: 4 Issue: 4, 93 - 100, 27.12.2017

Abstract

References

  • Tung, D.V., Pinnoi, A.,’Vehicle routing-scheduling for waste collection in Hanoi’, European Journal of Operational Research, 125(3), 449-468, 2000.
  • Apaydin,O., Gonullu, M.T., ‘Emission control with route optimization in solid waste collection process: a case study’, Sadhana, 33(2), 71-82, 2008.
  • Tavares,G., Zsigraiova, Z., Semiao, V., Carvalho, M.D.G., ‘Optimization of MSW collection routes for minimum fuel consumption using 3D GIS modelling’, Waste Management, 29(3), 1176-1185, 2009.
  • Fan, X., Zhu, M., Zhang, X., He, Q., Rovetta, A., ‘Solid waste collection optimization considering energy utilization for large city area’, IEEE International Conference on Logistics Systems and Intelligent Management, 3, 1905-1909, 2010.
  • Arribas, C.A., Blazquez, C.A., Lamas, A., ‘Urban solid waste collection system using mathematical modelling and tools of geographic information systems’, Waste Management, 28(4), 355-363, 2010.
  • R. Galante, G., Aiello, G., Enea, M., Panascia, E., ‘A multi-objective approach to solid waste management’, Waste Management, 30(8), 1720-1728, 2010.
  • Larsen, A.W., Merrild, H., Moller, J., Christensen, T.H., ‘Waste collection systems for recyclables: an environmental and economic assessment for the municipality of Aarhus(Denmark)’, Waste Management, 30(5), 744-754, 2010.
  • Tan, Q., Huang, G.H., Cai, Y.P., ‘Identification of optimal plans for municipal solid waste management in an environment of fuzziness and two-layer randomness’, Stochastic Environmental Resources’ Risk Assessment, 24(1), 147-164, 2010a.
  • Tan, Q., Huang, G.H., Cai, Y.P., ‘Waste management with recourse: an inexact dynamic programming model containing fuzzy boundary intervals in objectives and constraints’, Journal of Environmental Management, 91(9), 1898-1913, 2010b.
  • Faccio, M., Persona, A., Zanin, G., ‘Waste collection multi-objective model with real time traceability data’, Waste Management, 31(12), 2391-2405, 2011.
  • Pires, A., Martinho, G., Chang, N.B., ‘Solid waste management in european countries: a review of systems analysis techniques’, Journal of Environmental Management, 92(4), 1033-1050, 2011b.
  • Tai, J., Zhang, W., Che, Y., Feng, D., ‘Municipal solid waste source-separated collection in China: a comparative analysis’, Waste Management, 31(8), 1673-1682, 2011.
  • Chatzouridis, C., Komilis, D., ‘A methodology to optimally site and design municipal solid waste transfer stations using binary programming’, Resource Consery, Recycling, 60, 89-98, 2012.
  • Gunalay, Y., Yeomans, J.S., Huang, G.H., ‘Modelling to generate alternative policies in highly uncertain environments: an application to municipal solid waste management planning’, Journal of Environmental Information, 19(2), 58-69, 2012.
  • Hemmelmayr, V.C., Doerner, K.F., Hartl, R.F., Vigo, D., ‘Models and algorithms for the integrated planning of bin allocation and vehicle routing in solid waste management’, Tranportation Science, 48(1), 103-120, 2013a.
  • Hemmelmayr, V.C., Doerner, K.F., Hartl, R.F., Rath, S., ‘A heuristic solution method for node routing based solid waste collection problems’, Journal of Heuristic, 19(2), 129-156, 2013b.
  • Mora, C., Manzini, R., Gamberi, M., Cascini, A., ‘Environmental and economic assessment for the optimal configuration of a sustainable solid waste collection system: a kerbside case study’, Production Planning Control, 25(9), 737-761, 2014.
  • Scneider, M., Srenger, A., Goeke, D., ‘The electric vehicle routing problem with time windows and recharging stations’, Transportation Science, 48(4), 500-520, 2014.
  • Ehrgott, M., ‘Multi-objective optimization’, Springer, 2004.
  • Bellmore, M., Nemhauser, G.L., ‘The travelling salesman problem: a survey’, Operations Research, 16(3), 538-558, 1968.
  • Kulkarni, R.V., Bhave, B.R., ‘Integer programming formulations of vehicle routing problems’, European Journal of Operational Research, 20(1), 58-67, 1985.
There are 21 citations in total.

Details

Journal Section Industrial Engineering
Authors

Erhan Baran

Publication Date December 27, 2017
Submission Date August 16, 2017
Published in Issue Year 2017 Volume: 4 Issue: 4

Cite

APA Baran, E. (2017). Optimizing Medical Waste Collection in Eskişehir by Using Multi-Objective Mathematical Model. Gazi University Journal of Science Part A: Engineering and Innovation, 4(4), 93-100.