This paper provides a thorough literature review of current state-of-the-art systems analysis techniques for urban solid waste collection and identifies four intrinsic deficiencies of the existing studies over different types of cities. As a demonstration, a multiconstrained and multicompartment routing problem is modeled with roll-on roll-off scheduling strategies in a two-stage decision-making process to exhibit the highest complexity of its kind in practical implementation. The constraints of time windows, intermediate facilities, multishifts, and split deliveries make an ideal combination of all essential complexities in modeling practices. To overcome the relevant challenges, a unified heuristic algorithm is proposed for addressing node routing and roll-on roll-off routing problems. The proposed heuristic algorithm that concatenates initialization and improvement phases solves the models with numerical efficiency to search for the most cost-effective and environmentally benign solutions. Results indicate that differentiated collection increases opportunities to pursue the best routing strategies with sustainable implications through sensitivity analysis at the expense of higher collection costs. The analysis concludes with the perspectives of a smart and green waste collection system designed to create a more sustainable waste management systems in the future.
机构:
Minist Environm Protect, South China Inst Environm Sci, Guangzhou 510065, Guangdong, Peoples R ChinaMinist Environm Protect, South China Inst Environm Sci, Guangzhou 510065, Guangdong, Peoples R China
Lu, Jia-Wei
Chang, Ni-Bin
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Univ Cent Florida, Dept Civil Environm & Construct Engn, Orlando, FL 32816 USAMinist Environm Protect, South China Inst Environm Sci, Guangzhou 510065, Guangdong, Peoples R China
Chang, Ni-Bin
Zhu, Feng
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Minist Environm Protect, South China Inst Environm Sci, Guangzhou 510065, Guangdong, Peoples R ChinaMinist Environm Protect, South China Inst Environm Sci, Guangzhou 510065, Guangdong, Peoples R China
Zhu, Feng
Hai, Jing
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Minist Environm Protect, South China Inst Environm Sci, Guangzhou 510065, Guangdong, Peoples R ChinaMinist Environm Protect, South China Inst Environm Sci, Guangzhou 510065, Guangdong, Peoples R China
Hai, Jing
Liao, Li
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Huazhong Univ Sci & Technol, Sch Environm Sci & Engn, Wuhan 430074, Hubei, Peoples R ChinaMinist Environm Protect, South China Inst Environm Sci, Guangzhou 510065, Guangdong, Peoples R China
Liao, Li
2018 IEEE 15TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC),
2018,
机构:
Univ Insubria, Dept Theoret & Appl Sci, Via GB Vico 46, I-21100 Varese, ItalyUniv Insubria, Dept Theoret & Appl Sci, Via GB Vico 46, I-21100 Varese, Italy
Ferronato, Navarro
Alarcon, Grecia Paola Portugal
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Univ Mayor San Andres UMSA, Dept Environm Engn, Ave Mariscal Santa Cruz, La Paz 1175, BoliviaUniv Insubria, Dept Theoret & Appl Sci, Via GB Vico 46, I-21100 Varese, Italy
Alarcon, Grecia Paola Portugal
Lizarazu, Edith Gabriela Guisbert
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Univ Mayor San Andres UMSA, Dept Environm Engn, Ave Mariscal Santa Cruz, La Paz 1175, BoliviaUniv Insubria, Dept Theoret & Appl Sci, Via GB Vico 46, I-21100 Varese, Italy
Lizarazu, Edith Gabriela Guisbert
Torretta, Vincenzo
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Univ Insubria, Dept Theoret & Appl Sci, Via GB Vico 46, I-21100 Varese, ItalyUniv Insubria, Dept Theoret & Appl Sci, Via GB Vico 46, I-21100 Varese, Italy