Time-dependent fuzzy random location-scheduling programming for hazardous materials transportation

Wei, Meiyi; Li, Xiang; Yu, Lean

doi:10.1016/j.trc.2015.06.012

Cited by 36 publications

(8 citation statements)

References 54 publications

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“…Damci-Kurt et al [17] solved a TP with market choice. A study on time-dependent fuzzy random location-scheduling transportation programming for hazardous materials has been done by Meiyi et al [18]. In connection with minimizing pollution, a number of studies has been entitled by researchers such as Dulebenets [19], Das and Roy [20], Jalalian et al [21], Dulebenets [22], and many others.…”

Section: Review Of Related Workmentioning

confidence: 99%

“…Again, the production in factories and demands in the markets are not uniform and crisp due to availability of raw materials, weather conditions, market demands, etc., so supply and demand are treated as interval values. The interval valued supply in the stores A i (i = According to the experience in the business area, the merchant chooses the goals [53,000, 58,825] for transportation cost (z 1 ), [47,000, 51,800] for profit (z 2 ), and [14,275,18,825] for pollution factor (z 3 ). In most of the situations, interval goal corresponding to objective function is chosen as its minimum and maximum possible values with respect to the same set of constraints.…”

Section: Case Studymentioning

confidence: 99%

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Time Variant Multi-Objective Interval-Valued Transportation Problem in Sustainable Development

2019

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Sustainable development is treated as the achievement of continued economic development without detriment to environmental and natural resources. Now-a-days, in a competitive market scenario, most of us are willing to pay less and to gain more in quickly without considering negative externalities for the environment and quality of life for future generations. Recalling this fact, this paper explores the study of time variant multi-objective transportation problem (MOTP) with consideration of minimizing pollution. Time of transportation is of utmost importance in reality; based on this consideration, we formulate a MOTP, where we optimize transportation time as well as the cost function. The parameters of MOTP are interval-valued, so this form of MOTP is termed as a multi-objective interval transportation problem (MOITP). A procedure is taken into consideration for converting MOITP into deterministic form and then for solving it. Goal programming is applied to solve the converted transportation problem. A case study is conducted to justify the methodology by utilizing the environmental impact. At last, conclusions and future research directions are included regarding our study.

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Section: Review Of Related Workmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

Time Variant Multi-Objective Interval-Valued Transportation Problem in Sustainable Development

2019

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“…Jiang et al [22] posited a model based on locating hazardous material treatment facilities and routing the hazardous materials with different transportation modes, which is applied in Northeast China. Meiyi et al [23] have developed a model for the hazardous materials transportation scheduling problem, where transportation risks consist of time-dependent fuzzy random variables. Zhao and Verter [24] have offered a two-objective model to minimize the total cost and risk and determine the facility location of the used petroleum products, treatment facilities and disposal facilities, and to determine the optimal transportation routes.…”

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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“…11 In contrast to Ma, Wang et al 12 created a route schedule that satisfies three constraints in an uncertain environment. In addition to time scheduling modeling, Meiyi et al 13 optimized the start time and dwell time to achieve the greatest customer satisfaction.…”

Section: Introductionmentioning

confidence: 99%

The route choice of hazardous material transportation with value-at-risk model using chance measure in uncertain environments

Wang

Zhao

Cao

et al. 2018

Advances in Mechanical Engineering

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This article combines a value-at-risk model with fuzzy theory and proposes a model using chance measure based on the value-at-risk model named chance-value-at-risk (ChVaR). The proposed model considers two measures, probability measure and credibility measure. The objective of this model is to determine the best route schedule that minimizes the risk at certain probability levels and credibility levels. For the proposed model, the correctness of its founding is proven. A detailed solution procedure is presented and tested to solve the ChVaR model. To verify the applicability of the model, two different scale cases are given: the first case indicates that the model can provide a satisfactory solution within a relatively small error range, and the second case routes the path of hazardous material transportation in Changchun, China. According to different probability levels and credibility levels, the ChVaR model provides different paths and multiple alternative choices for a decision maker. This point is important in practical scenarios.

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Time-dependent fuzzy random location-scheduling programming for hazardous materials transportation

Cited by 36 publications

References 54 publications

Time Variant Multi-Objective Interval-Valued Transportation Problem in Sustainable Development

Time Variant Multi-Objective Interval-Valued Transportation Problem in Sustainable Development

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

The route choice of hazardous material transportation with value-at-risk model using chance measure in uncertain environments

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