A profit-oriented mathematical model for hazardous waste locating- routing problem

Aydemir-Karadag, Ayyuce

doi:10.1016/j.jclepro.2018.08.106

Cited by 52 publications

(23 citation statements)

References 26 publications

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“…Finally, they could achieve high benefits by implementing their suggested methodology in both cities. After them, many researchers have worked on VRPs and location-routing problems for USWM considering different characteristics such as hazardous waste and multiple waste products (Aydemir-Karadag, 2018;Hauge et al, 2014;Louati, 2016;Paredes-Belmar et al, 2017;Rabbani et al, 2018;Ramos et al, 2018;Tung and Pinnoi, 2000;Yilmaz et al, 2014). Furthermore, the VRP has been studied widely in the literature for various real-world applications (Mirmohammadi et al, 2017;Tirkolaee et al, 2017Tirkolaee et al, , 2019, but CARP has been almost neglected despite its effective practical aspects, particularly in USWM (Tirkolaee et al, 2018a).…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid augmented ant colony optimization for the multi-trip capacitated arc routing problem under fuzzy demands for urban solid waste management

et al. 2019

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Nowadays, urban solid waste management is one of the most crucial activities in municipalities and their affiliated organizations. It includes the processes of collection, transportation and disposal. These major operations require a large amount of resources and investments, which will always be subject to limitations. In this paper, a chance-constrained programming model based on fuzzy credibility theory is proposed for the multi-trip capacitated arc routing problem to cope with the uncertain nature of waste amount generated in urban areas with the aim of total cost minimization. To deal with the complexity of the problem and solve it efficiently, a hybrid augmented ant colony optimization algorithm is developed based on an improved max–min ant system with an innovative probability function and a simulated annealing algorithm. The performance of hybrid augmented ant colony optimization is enhanced by using the Taguchi parameter design method to adjust the parameters’ values optimally. The overall efficiency of the algorithm is evaluated against other similar algorithms using well-known benchmarks. Finally, the applicability of the suggested methodology is tested on a real case study with a sensitivity analysis to evolve the managerial insights and decision aids.

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Section: Literature Reviewmentioning

confidence: 99%

A hybrid augmented ant colony optimization for the multi-trip capacitated arc routing problem under fuzzy demands for urban solid waste management

et al. 2019

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“…In the relevant literature on hazardous waste management, most hazardous waste management research has been focused on hazardous waste route planning [ 3 , 4 , 5 , 6 , 7 ] and disposal [ 8 , 9 , 10 , 11 , 12 ], solving only the back-end safe transportation and disposal process, while the problem of the source in waste-producing companies is not dealt with. There are few studies on safety management of hazardous waste inventory.…”

Section: Introductionmentioning

confidence: 99%

A BWM-TOPSIS Hazardous Waste Inventory Safety Risk Evaluation

Deng

Lin³

et al. 2020

IJERPH

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Hazardous waste can cause severe environmental pollution if not disposed of properly, which in turn can seriously affect the sustainable development of the entire ecology and will inevitably bring disaster to companies. However, because of limited available disposal capacity, it is often difficult to safely dispose of hazardous waste, meaning that it must be kept as passive inventory. For the passive inventory of hazardous waste, risk evaluation of safe operation of the inventory is crucial and urgently needs to be resolved. Based on this, this paper focuses on the risk management of hazardous waste inventory of waste-producing companies and proposes a risk evaluation system for safely dealing with hazardous waste inventory, which expands the scope of inventory safety management and provides guidance to companies on developing appropriate measures to ensure hazardous waste inventory safety. First, the risk evaluation index system for hazardous waste inventory is constructed from equipment, management level, nature of hazardous waste and operational aspects. Then, the best worst method (BWM) is employed to calculate the criteria weights and the technique for order performance by similarity to ideal solution (TOPSIS) is employed to rank the alternatives. Finally, risk evaluation on four waste-producing companies was conducted using the developed method. The results show that Case Company 4 has the greatest risk of hazardous waste inventory, which should be reduced by improving storage method and the amount of hazardous waste. It was found that the proposed evaluation system was effective for hazardous waste inventory safety risk assessments and that the designed index system could assist companies improve their hazardous waste inventory management.

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“…They made use of Non-dominated Sorting Genetic Algorithm (NSGA-II) and Monte Carlo Simulation in their study. Karadag [29] introduced a model which determines locations and numbers of recycling, incineration, sterilization, interim storage and disposal facilities and how to transport different types of hazardous wastes and waste residues by using a profit oriented mixed integer programming model. Zhao and Ke [30] studied on a multi-objective explosive waste management model minimizing the cost and the risk while locating the collection centres, managing the inventory level for each collection centre and routing the explosive wastes from collection centres to the recycling centres.…”

Section: Introductionmentioning

confidence: 99%

The hazardous waste location and routing problem: an application in Marmara Region in Turkey

Utku

Erol

2020

SN Appl. Sci.

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Hazardous waste management involves the collection, transportation, processing, recycling and disposal of industrial and domestic wastes. In this study, a single objective, multi-product mixed integer programming model for hazardous waste facility location and routing problem is developed for the hazardous waste management problem. The aim of the study is to locate hazardous waste treatment, recycling and disposal facilities to the designated candidate locations with the lowest cost and highest profit. With this, we try to ensure that the waste is transported between hazardous waste generation centers and these facilities with the minimum cost and maximum revenue. Unlike the studies in the literature, we constructed an enhanced model that take all the following properties into account: the location of hazardous waste treatment, recycling and disposal facilities; transportation of hazardous waste, hazardous recycled materials and hazardous waste residues between these facilities; cost, revenue, risk, capacity and technology compatibility. The model provides to decide the sorts of facilities which are needed by considering the type and amount of hazardous waste generated in determining where to locate these facilities. The model, also, determines which types of hazardous waste can be transported between the facilities. The developed model is applied to the Marmara Region with the real data provided by the Republic of Turkey Ministry of Environment and Urbanization. Accordingly, the results are evaluated and presented.

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A profit-oriented mathematical model for hazardous waste locating- routing problem

Cited by 52 publications

References 26 publications

A hybrid augmented ant colony optimization for the multi-trip capacitated arc routing problem under fuzzy demands for urban solid waste management

A hybrid augmented ant colony optimization for the multi-trip capacitated arc routing problem under fuzzy demands for urban solid waste management

A BWM-TOPSIS Hazardous Waste Inventory Safety Risk Evaluation

The hazardous waste location and routing problem: an application in Marmara Region in Turkey

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