مدل بهینه‌سازی استوار برای مکان‌یابی محل دفن زباله‌های شهری

نوع مقاله : پژوهشی

نویسندگان

1 دانشکده مهندسی صنایع، پردیس دانشکده‌های فنی، دانشگاه تهران، تهران، ایران

2 کارشناسی ارشد مهندسی صنایع، دانشکده مهندسی صنایع، پردیس دانشکده‌های فنی، دانشگاه تهران

چکیده

یکی از مسائلی که جوامع شهری با آن روبه‌رو هستند مدیریت زباله است. در این مقاله، مکان‌های دفن زباله‌ها، ظرفیت این مکان‌ها، مکان ایستگاه‌های انتقال، ظرفیت آن‌ها و مکان محل‌های بازیافت زباله را به‌گونه‌ای تعیین می‌کنیم که کل هزینه (شامل هزینه‌های احداث مراکز، حمل‌ونقل زباله از محل تولید تا محل پالایش، دفن و بازیافت) حداقل شود. هم‌چنین، برای رعایت محدودیت‌های زیست‌محیطی با تعریف کردن حداکثر مجاز آلودگی برای هر مرکز جمعیت، میزان آلودگی را کنترل می‌کنیم. در این پژوهش، مسئله به‌صورت یک مدل برنامه‌ریزی عدد صحیح آمیخته فرمول‌بندی شده است. سپس ظرفیت محل دفن و ظرفیت محل پالایش غیرقطعی در نظر گرفته‌شده و مدل به‌صورت بهینه‌سازی استوار توسعه‌یافته است. همچنین برای اعتبارسنجی مدل، یک مسئله نمونه حل‌شده و نتایج محاسباتی به ازای سطوح متفاوتی از محافظه‌کاری ارائه گردیده است. تصمیم‌گیرنده می‌تواند از این نتایج برای انتخاب سطح محافظه‌کاری مناسب استفاده نماید.

کلیدواژه‌ها


عنوان مقاله [English]

A robust optimization model for the location of municipal solid waste landfills

نویسندگان [English]

  • Mohammad Mahdi Nasiri 1
  • samaneh korlou 2
1 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
2 M.S. of Industrial Engineering, Faculty of Industrial Engineering, Pardis of Technical Colleges, University of Tehran
چکیده [English]

One of the issues facing urban communities is waste management. In this paper, we determine the location of landfills, the capacity of these sites, the location of transfer stations, their capacity, and the location of waste recycling centers in such a way that the total costs (including the costs of establishment and transportation of waste from production to refining sites, landfills and recycling centers) are minimized. We also control pollution levels by defining a maximum allowable pollution for each population center to comply with environmental constraints. In this study, the problem is formulated as a mixed integer programming model. Then, the capacity of the landfill and the capacity of the refining sites are considered as uncertain parameters and a robust optimization model is developed. Also, to validate the model, a problem instance is solved and the computational results are presented for different levels of conservatism. The decision maker can use the results to select the appropriate level of conservatism.

کلیدواژه‌ها [English]

  • Urban waste management
  • Landfill location
  • Robust optimization
  • Mixed integer programming
[1] Hatami, H., et al., Comprehensive book of public health. Tehran: Arjemand Publications, 2007: p. 45-7.
[2] Abdel-Shafy, H.I. and M.S. Mansour, Solid waste issue: Sources, composition, disposal, recycling, and valorization. Egyptian journal of petroleum
[3] Farrell, M. and D. Jones, Critical evaluation of municipal solid waste composting and potential compost markets. Bioresource technology, 2009. 100(19): p. 4301-4310.Review
[4] Pichtel, J., Waste management practices: municipal, hazardous, and industrial. 2005: CRC press.
 
[5] Esakku, S., et al. Municipal solid waste management in Chennai city, India. in Proceedings Sardinia. 2007. Citeseer
[6] Eiselt, H.A. and V. Marianov, Location modeling for municipal solid waste facilities. Computers & Operations Research, 2015. 62: p. 305-315
[7] Eiselt, H.A. and V. Marianov, A bi-objective model for the location of landfills for municipal solid waste. European Journal of Operational Research, 2014. 235(1): p. 187-194.
[8] Church, R.L. and R.S. Garfinkel, Locating an obnoxious facility on a network. Transportation science, 1978. 12(2): p. 107-118
[9] Erkut, E. and S. Neuman, Analytical models for locating undesirable facilities. European Journal of Operational Research, 1989. 40(3): p. 275-291
[10] Ghiani, G., et al., Capacitated location of collection sites in an urban waste management system. Waste management, 2012. 32(7): p. 1291-1296.
[11] Badran, M. and S. El-Haggar, Optimization of municipal solid waste management in Port Said–Egypt. Waste Management, 2006. 26(5): p. 534-545.
[12] Erkut, E., et al., A multicriteria facility location model for municipal solid waste management in North Greece. European journal of operational research, 2008. 187(3): p. 1402-1421.
[13] Bosompem, C., E. Stemn, and B. Fei-Baffoe, Multi-criteria GIS-based siting of transfer station for municipal solid waste: The case of Kumasi Metropolitan Area, Ghana. Waste Management & Research, 2016. 34(10): p. 1054-1063
[14] Rahimi, S., et al., Sustainable landfill site selection for municipal solid waste based on a hybrid decision-making approach: Fuzzy group BWM-MULTIMOORA-GIS. Journal of Cleaner Production, 2020. 248: p. 119186.
[15] Amiri, F. and T. Tabatabaie, Application of Geographic Information System and Analytic Hierarchy Process for Municipal Solid Waste Landfill Site Selection: A Case Study of Bushehr City, Iran. Iranian Journal of Applied Ecology, 2019. 7(4): p. 59-76.
[16] Spigolon, L.M., et al., Landfill siting based on optimisation, multiple decision analysis, and geographic information system analyses. Waste Management & Research, 2018. 36(7): p. 606-615.
[17] Rathore, P. and S. Sarmah, Modeling transfer station locations considering source separation of solid waste in urban centers: A case study of Bilaspur city, India. Journal of cleaner production, 2019. 211: p. 44-60
[18] Karasan, A., E. Ilbahar, and C. Kahraman, A novel pythagorean fuzzy AHP and its application to landfill site selection problem. Soft Computing, 2019. 23(21): p. 10953-10968.
[19] VIDOVIĆ, M., et al. AN APPROACH TO LOCATING TRANSFER STATIONS IN WASTE MANAGEMENT SYSTEMS. in XIII Balkan Conference on Operational Research Proceedings. 2018. FON.
[20] Hrabeca, D., et al., A HEURISTIC APPROACH TO THE FACILITY LOCATION PROBLEM FOR WASTE MANAGEMENT: A CASE STUDY.
[21] Tirkolaee, E.B., et al., A robust green location-allocation-inventory problem to design an urban waste management system under uncertainty. Waste Management, 2020. 102: p. 340-350
[22] Tirkolaee, E.B., et al., A robust green location-allocation-inventory problem to design an urban waste management system under uncertainty. Waste Management, 2020. 102: p. 340-350
[23] Nasiri, M.M., et al. Robust Possibilistic Programming Approach for the Design of Tehran Municipal Solid Waste Management System. in 13th International Conference on Industrial Engineering (IIEC 2017), Mazandaran, Iran. 2017.
[24] Kůdela, J., et al., Robust waste transfer station planning by stochastic programming. Chemical Engineering Transactions, 2018. 70: p. 889-894.
[25] Yadav, V., et al., A facility location model for municipal solid waste management system under uncertain environment. Science of the Total Environment, 2017. 603: p. 760-771
[26] Habibi, F., et al., A multi-objective robust optimization model for site-selection and capacity allocation of municipal solid waste facilities: A case study in Tehran. Journal of Cleaner Production, 2017. 166: p. 816-834.
[27] Karagoz, S., N. Aydin, and E. Isikli, Decision making in solid waste management under fuzzy environment, in Intelligence Systems in Environmental Management: Theory and Applications. 2017, Springer. p. 91-115.
[28] Wang, Y., et al., Site selection for municipal solid waste landfill considering environmental health risks. Resources, Conservation and Recycling, 2018. 138: p. 40-46.
[29] Dimitrijević, B., B. Ratković, and M. Šelmić, A multi-objective model for undesirable facility location. 2017.
[30] Rabbani, M., M. Mokhtarzadeh, and H. Farrokhi-Asl, A New Mathematical Model for Designing a Municipal Solid Waste System Considering Environmentally Issues. International Journal of Supply and Operations Management, 2018. 5(3): p. 234-255.
[31] Yousefloo, A. and R. Babazadeh, Designing an integrated municipal solid waste management network: A case study. Journal of Cleaner Production, 2020. 244: p. 118824.
[32] BARRENA, E., et al., OPTIMIZING CONTAINER LOCATION FOR SELECTIVE COLLECTION OF URBAN SOLID WASTE. Waste Management and the Environment IX, 2019. 231: p. 1.
[33] Bertsimas, D. and M. Sim, The price of robustness. Operations research, 2004. 52(1): p. 35-53