How to cite this paper
Suksee, S & Sindhuchao, S. (2021). GRASP with ALNS for solving the location routing problem of infectious waste collection in the Northeast of Thailand.International Journal of Industrial Engineering Computations , 12(3), 305-320.
Refrences
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Alçada-Almeida, L., Coutinho-Rodrigues, J., & Current, J. (2009). A multiobjective modeling approach to locating incinerators. Socio-Economic Planning Sciences, 43(2), 111-120.
Alumur, S., & Kara, B. Y. (2007). A new model for the hazardous waste location-routing problem. Computers & Operations Research, 34(5), 1406-1423.
Boyer, O., Sai Hong, T., Pedram, A., Mohd Yusuff, R. B., & Zulkifli, N. (2013). A mathematical model for the industrial hazardous waste location-routing problem. Journal of Applied Mathematics, 2013.
Chauhan, A., & Singh, A. (2016). Healthcare waste management: a state-of-the-art literature review. International Journal of Environment and Waste Management, 18(2), 120-144.
Chen, S., Chen, R., Wang, G. G., Gao, J., & Sangaiah, A. K. (2018). An adaptive large neighborhood search heuristic for dynamic vehicle routing problems. Computers & Electrical Engineering, 67, 596-607.
Contardo, C., Cordeau, J. F., & Gendron, B. (2014). A GRASP+ ILP-based metaheuristic for the capacitated location- routing problem. Journal of Heuristics, 20(1), 1-38.
Das, S., & Bhattacharyya, B. K. (2015). Optimization of municipal solid waste collection and transportation routes. Waste Management, 43, 9-18.
Department of Pollution Control Thailand state of pollution Report 2018. Viewed 21 May 2019, http://www.pcd.go.th /public/Publications/print_report.cfm
Dotoli, M., & Epicoco, N. (2017). A vehicle routing technique for hazardous waste collection. IFAC-PapersOnLine, 50(1), 9694-9699.
Energy Regulatory Commission . Regulation of the Energy Regulatory in 2017, viewed 3 May 2019, http://www.erc.or.th
Erkut, E., & Neuman, S. (1989). Analytical models for locating undesirable facilities. European Journal of Operational Research, 40(3), 275-291.
Gao, S., Wang, Y., Cheng, J., Inazumi, Y., & Tang, Z. (2016). Ant colony optimization with clustering for solving the dynamic location routing problem. Applied Mathematics and Computation, 285, 149-173.
Hamidi, M., Farahmand, K., Sajjadi, S., & Nygard, K. (2014). A heuristic algorithm for a multi-product four-layer capacitated location-routing problem. International Journal of Industrial Engineering Computations, 5(1), 87-100.
Kazantzi, V., Kazantzis, N., & Gerogiannis, V. C. (2011). Risk informed optimization of a hazardous material multi-periodic transportation model. Journal of Loss Prevention in the Process Industries, 24(6), 767-773.
Koç, Ç. (2016). A unified-adaptive large neighborhood search metaheuristic for periodic location-routing problems. Transportation Research Part C: Emerging Technologies, 68, 265-284.
Li, Y., Chen, H., & Prins, C. (2016). Adaptive large neighborhood search for the pickup and delivery problem with time windows, profits, and reserved requests. European Journal of Operational Research, 252(1), 27-38.
Liu, R., Tao, Y., & Xie, X. (2019). An adaptive large neighborhood search heuristic for the vehicle routing problem with time windows and synchronized visits. Computers & Operations Research, 101, 250-262.
Maneein J. Infectious waste management of local government of Thailand. Master of Science Program in Sustainable Environmental Management, National Institute of Development Administration, Bankok, Thailand. 2013.
Nagy, G., & Salhi, S. (2007). Location-routing: Issues, models and methods. European Journal of Operational Research, 177(2), 649-672.
Norese, M. F. (2006). ELECTRE III as a support for participatory decision-making on the localisation of waste-treatment plants. Land Use Policy, 23(1), 76-85.
Praseeratasang, N., Pitakaso, R., Sethanan, K., Kosacka-Olejnik, M., & Theeraviriya, C. (2019). Adaptive Large Neighborhood Search to Solve Multi-Level Scheduling and Assignment Problems in Broiler Farms. Journal of Open Innovation: Technology, Market, and Complexity, 5(3), 37.
Prodhon, C., & Prins, C. (2014). A survey of recent research on location-routing problems. European Journal of Operational Research, 238(1), 1-17.
Rabbani, M., Heidari, R., Farrokhi-Asl, H., & Rahimi, N. (2018). Using metaheuristic algorithms to solve a multi-objective industrial hazardous waste location-routing problem considering incompatible waste types. Journal of Cleaner Production, 170, 227-241.
Rakas, J., Teodorović, D., & Kim, T. (2004). Multi-objective modeling for determining location of undesirable facilities. Transportation Research Part D: Transport and Environment, 9(2), 125-138.
Schneider, M., & Drexl, M. (2017). A survey of the standard location-routing problem. Annals of Operations Research, 259(1-2), 389-414.
Seubsiri, K. (2011). Survey of Infectious Waste Incinerator Management in a Community Hospital in the Upper Northeast Area, Doctor of Philosophy Program in Industrial Engineering, Ubon Ratchathani University, Ubon Ratchathani, Thailand.
Sirirak, W., & Pitakaso, R. (2018). Marketplace Location Decision Making and Tourism Route Planning. Administrative Sciences, 8(4), 72.
Sresanpila, P., & Sindhuchao, S. (2018). Solving the Problem of the Selection of the Size and Multi Depot Location Case Study : Elimination of Infectious Waste of Community Hospitals in the Upper Part of Northeast Thailand. UBU Engineering Journal, 9(1), 39-47.
Tang, S. H., Boyer, O., Pedram, A., Yusuff, R. B. M., & Zulkifli, N. (2013). A review on multiple criteria undesirablefacility location problems. Journal of Basic and Applied Scientific Research, 3(8), 708-713.
Tuzkaya, G., Önüt, S., Tuzkaya, U. R., & Gülsün, B. (2008). An analytic network process approach for locating undesirable facilities: an example from Istanbul, Turkey. Journal of Environmental management, 88(4), 970-983.
Theeraviriya, C., Pitakaso, R., Sillapasa, K., & Kaewman, S. (2019). Location decision making and transportation route planning considering fuel consumption. Journal of Open Innovation: Technology, Market, and Complexity, 5(2), 27.
Theeraviriya, C., Sirirak, W., & Praseeratasang, N. (2020). Location and routing planning considering electric vehicles with restricted distance in agriculture. World Electric Vehicle Journal, 11(4), 61.
Wichapa, N., & Khokhajaikiat, P. (2017). Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal. Journal of Industrial Engineering and Management (JIEM), 10(5), 853-886.
Wichapa, N., & Khokhajaikiat, P. (2018). Solving a multi-objective location routing problem for infectious waste disposal using hybrid goal programming and hybrid genetic algorithm. International Journal of Industrial Engineering Computations, 9(1), 75-98.
Yadav, V., & Karmakar, S. (2020). Sustainable collection and transportation of municipal solid waste in urban centers. Sustainable Cities and Society, 53, 101937.
Zhao, L., Wang, X., & Qian, Y. (2012). Analysis of factors that influence hazardous material transportation accidents based on Bayesian networks: A case study in China. Safety science, 50(4), 1049-1055.
Zhao, J., & Verter, V. (2015). A bi-objective model for the used oil location-routing problem. Computers & Operations Research, 62, 157-168.
Alçada-Almeida, L., Coutinho-Rodrigues, J., & Current, J. (2009). A multiobjective modeling approach to locating incinerators. Socio-Economic Planning Sciences, 43(2), 111-120.
Alumur, S., & Kara, B. Y. (2007). A new model for the hazardous waste location-routing problem. Computers & Operations Research, 34(5), 1406-1423.
Boyer, O., Sai Hong, T., Pedram, A., Mohd Yusuff, R. B., & Zulkifli, N. (2013). A mathematical model for the industrial hazardous waste location-routing problem. Journal of Applied Mathematics, 2013.
Chauhan, A., & Singh, A. (2016). Healthcare waste management: a state-of-the-art literature review. International Journal of Environment and Waste Management, 18(2), 120-144.
Chen, S., Chen, R., Wang, G. G., Gao, J., & Sangaiah, A. K. (2018). An adaptive large neighborhood search heuristic for dynamic vehicle routing problems. Computers & Electrical Engineering, 67, 596-607.
Contardo, C., Cordeau, J. F., & Gendron, B. (2014). A GRASP+ ILP-based metaheuristic for the capacitated location- routing problem. Journal of Heuristics, 20(1), 1-38.
Das, S., & Bhattacharyya, B. K. (2015). Optimization of municipal solid waste collection and transportation routes. Waste Management, 43, 9-18.
Department of Pollution Control Thailand state of pollution Report 2018. Viewed 21 May 2019, http://www.pcd.go.th /public/Publications/print_report.cfm
Dotoli, M., & Epicoco, N. (2017). A vehicle routing technique for hazardous waste collection. IFAC-PapersOnLine, 50(1), 9694-9699.
Energy Regulatory Commission . Regulation of the Energy Regulatory in 2017, viewed 3 May 2019, http://www.erc.or.th
Erkut, E., & Neuman, S. (1989). Analytical models for locating undesirable facilities. European Journal of Operational Research, 40(3), 275-291.
Gao, S., Wang, Y., Cheng, J., Inazumi, Y., & Tang, Z. (2016). Ant colony optimization with clustering for solving the dynamic location routing problem. Applied Mathematics and Computation, 285, 149-173.
Hamidi, M., Farahmand, K., Sajjadi, S., & Nygard, K. (2014). A heuristic algorithm for a multi-product four-layer capacitated location-routing problem. International Journal of Industrial Engineering Computations, 5(1), 87-100.
Kazantzi, V., Kazantzis, N., & Gerogiannis, V. C. (2011). Risk informed optimization of a hazardous material multi-periodic transportation model. Journal of Loss Prevention in the Process Industries, 24(6), 767-773.
Koç, Ç. (2016). A unified-adaptive large neighborhood search metaheuristic for periodic location-routing problems. Transportation Research Part C: Emerging Technologies, 68, 265-284.
Li, Y., Chen, H., & Prins, C. (2016). Adaptive large neighborhood search for the pickup and delivery problem with time windows, profits, and reserved requests. European Journal of Operational Research, 252(1), 27-38.
Liu, R., Tao, Y., & Xie, X. (2019). An adaptive large neighborhood search heuristic for the vehicle routing problem with time windows and synchronized visits. Computers & Operations Research, 101, 250-262.
Maneein J. Infectious waste management of local government of Thailand. Master of Science Program in Sustainable Environmental Management, National Institute of Development Administration, Bankok, Thailand. 2013.
Nagy, G., & Salhi, S. (2007). Location-routing: Issues, models and methods. European Journal of Operational Research, 177(2), 649-672.
Norese, M. F. (2006). ELECTRE III as a support for participatory decision-making on the localisation of waste-treatment plants. Land Use Policy, 23(1), 76-85.
Praseeratasang, N., Pitakaso, R., Sethanan, K., Kosacka-Olejnik, M., & Theeraviriya, C. (2019). Adaptive Large Neighborhood Search to Solve Multi-Level Scheduling and Assignment Problems in Broiler Farms. Journal of Open Innovation: Technology, Market, and Complexity, 5(3), 37.
Prodhon, C., & Prins, C. (2014). A survey of recent research on location-routing problems. European Journal of Operational Research, 238(1), 1-17.
Rabbani, M., Heidari, R., Farrokhi-Asl, H., & Rahimi, N. (2018). Using metaheuristic algorithms to solve a multi-objective industrial hazardous waste location-routing problem considering incompatible waste types. Journal of Cleaner Production, 170, 227-241.
Rakas, J., Teodorović, D., & Kim, T. (2004). Multi-objective modeling for determining location of undesirable facilities. Transportation Research Part D: Transport and Environment, 9(2), 125-138.
Schneider, M., & Drexl, M. (2017). A survey of the standard location-routing problem. Annals of Operations Research, 259(1-2), 389-414.
Seubsiri, K. (2011). Survey of Infectious Waste Incinerator Management in a Community Hospital in the Upper Northeast Area, Doctor of Philosophy Program in Industrial Engineering, Ubon Ratchathani University, Ubon Ratchathani, Thailand.
Sirirak, W., & Pitakaso, R. (2018). Marketplace Location Decision Making and Tourism Route Planning. Administrative Sciences, 8(4), 72.
Sresanpila, P., & Sindhuchao, S. (2018). Solving the Problem of the Selection of the Size and Multi Depot Location Case Study : Elimination of Infectious Waste of Community Hospitals in the Upper Part of Northeast Thailand. UBU Engineering Journal, 9(1), 39-47.
Tang, S. H., Boyer, O., Pedram, A., Yusuff, R. B. M., & Zulkifli, N. (2013). A review on multiple criteria undesirablefacility location problems. Journal of Basic and Applied Scientific Research, 3(8), 708-713.
Tuzkaya, G., Önüt, S., Tuzkaya, U. R., & Gülsün, B. (2008). An analytic network process approach for locating undesirable facilities: an example from Istanbul, Turkey. Journal of Environmental management, 88(4), 970-983.
Theeraviriya, C., Pitakaso, R., Sillapasa, K., & Kaewman, S. (2019). Location decision making and transportation route planning considering fuel consumption. Journal of Open Innovation: Technology, Market, and Complexity, 5(2), 27.
Theeraviriya, C., Sirirak, W., & Praseeratasang, N. (2020). Location and routing planning considering electric vehicles with restricted distance in agriculture. World Electric Vehicle Journal, 11(4), 61.
Wichapa, N., & Khokhajaikiat, P. (2017). Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal. Journal of Industrial Engineering and Management (JIEM), 10(5), 853-886.
Wichapa, N., & Khokhajaikiat, P. (2018). Solving a multi-objective location routing problem for infectious waste disposal using hybrid goal programming and hybrid genetic algorithm. International Journal of Industrial Engineering Computations, 9(1), 75-98.
Yadav, V., & Karmakar, S. (2020). Sustainable collection and transportation of municipal solid waste in urban centers. Sustainable Cities and Society, 53, 101937.
Zhao, L., Wang, X., & Qian, Y. (2012). Analysis of factors that influence hazardous material transportation accidents based on Bayesian networks: A case study in China. Safety science, 50(4), 1049-1055.
Zhao, J., & Verter, V. (2015). A bi-objective model for the used oil location-routing problem. Computers & Operations Research, 62, 157-168.