Designing routes for WEEE collection: the vehicle routing problem with split loads and date windows

Mar-Ortiz, Julio; González‐Velarde, José Luis; Adenso‐Díaz, Belarmino

doi:10.1007/s10732-011-9159-1

Cited by 38 publications

(20 citation statements)

References 19 publications

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“…By (22), (23), (24), and (25), we can get the exact quantity of the WEEE which needs to be sent to the incineration plants and landfill plants from the collected centers or the processing centers.…”

Section: Objective Functionmentioning

confidence: 99%

“…Remark 1. Compared with the existing models [8,12,15,19,24], our model (28) improves applicability of the WEEE recovery system by considering the following practical situations:…”

Section: Objective Functionmentioning

confidence: 99%

“…CLSC is also associated with vehicle routing problems (VRP). A greedy random adaptive search process (GRASP) algorithm [24] was designed for determining the collection capabilities and processing times of fixed and heterogeneous vehicle groups, which have general characteristics of the vehicles collecting WEEE from customers. Manzini proposed a model considering both collecting vehicle routing problems and customer demand assignments problems considering different modes of transportation [25].…”

Section: Introductionmentioning

confidence: 99%

“…(2) ,(11) ,(12) ,(13) ,(14) ,(15) ,(16),(17) ,(18) ,(19) ,(20) ,(21) ,(22) , (23) ,(24) ,(25) ,(26) and(27) .…”

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Optimizing the WEEE Recovery Network Associated with Environmental Protection Awareness and Government Subsidy by Nonlinear Mixed Integer Programming

Wang

Wan

2019

Journal of Advanced Transportation

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Recovery of waste electrical and electronic equipment (WEEE) plays an important role in protecting environment and conserving resources. Design of a more efficient WEEE recovery system is an imperative need for the relevant decision-makers, such as alleviation of overcapacity or insufficient recycling in many developing countries. In this paper, we optimize the WEEE recovery network which is associated with recycling prices and government subsidies by a nonlinear mixed integer programming approach. An integrated model is first proposed to formulate a design problem of WEEE recovery network, being involved with collection centers, two types of transfer stations, processing centers, incineration plants, landfill plants, secondhand product markets, and government subsides. The recycling prices and the transported quantities of WEEE (the number of batches) are endogenous variables of the model, being subject to a number of practical constraints. For solving this model, an algorithm is developed based on the branch and bound method. Scenario analysis and numerical experiments indicate that: (1) appropriate capacities of transfer stations can be provided by the proposed model for designing an environmentally and economically efficient WEEE recycling system, especially for alleviating the existing overcapacity or insufficient recycle. (2) An optimal governmental subsidy can be obtained in virtue of the proposed model and algorithm. (3) Diversity of transportation modes and permission of more than one mode in the same delivery route can greatly reduce the cost of recycling WEEE. (4) Preferred awareness of environmental protection can increase the profit and the recycled quantities, as well as reduction of the total recycling cost.

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Section: Objective Functionmentioning

confidence: 99%

“…Remark 1. Compared with the existing models [8,12,15,19,24], our model (28) improves applicability of the WEEE recovery system by considering the following practical situations:…”

Section: Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…(2) ,(11) ,(12) ,(13) ,(14) ,(15) ,(16),(17) ,(18) ,(19) ,(20) ,(21) ,(22) , (23) ,(24) ,(25) ,(26) and(27) .…”

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Optimizing the WEEE Recovery Network Associated with Environmental Protection Awareness and Government Subsidy by Nonlinear Mixed Integer Programming

Wang

Wan

2019

Journal of Advanced Transportation

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“…Gamberini et al (2010) designed a WEEE transportation-optimization network model associated with both technical decisions such as optimal routing and scheduling of vehicles and environmental performance. Mar-Ortiz et al (2013) introduced a greedy randomized adaptive searching procedure algorithm to solve a multi-trip multi-period vehicle routing and scheduling problem for the collection of WEEE. Angelelli and Speranza (2002) presented a periodic vehicle routing problem with intermediate facilities.…”

Section: Introductionmentioning

confidence: 99%

Developing an applied algorithm for multi-trip vehicle routing problem with time windows in urban waste collection: A case study

et al. 2019

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This paper studies a multi-trip vehicle routing problem with time windows specifically related to urban waste collection. Urban waste collection is one of the municipal activities with large costs and has many practical difficulties. In other words, waste collection and disposal is a costly task due to high operating expenses (fuel, maintenance, recycling, manpower, etc.) and small improvements in this field can result in tremendous savings on municipal expenditure. In the raised problem, the goal is to minimize total cost including traversing cost, vehicle employment cost, and exit penalty from permissible time windows. In this problem, the waste is deposited at the points indicating the demand nodes, in which each demand shows the volume of generated waste. Considering multiple trips for vehicles and time windows are the most critical features of the problem, so that the priorities of serving some specific places such as hospitals can be observed. Since vehicle routing problems (VRP) belongs to NP-hard problems, an efficient simulated annealing (SA) is proposed to solve the problem. The computational results show that our proposed algorithm has a great performance in a short computational time in comparison with the CPLEX solver. Finally, in order to demonstrate the applicability of the model, a case study is analyzed in Iran, and the optimal policies are presented.

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GRASP Solution Approach for the E-Waste Collection Problem

Gunawan,

Nguyen,

Nguyen

et al. 2023

Lecture Notes in Computer Science

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Designing routes for WEEE collection: the vehicle routing problem with split loads and date windows

Cited by 38 publications

References 19 publications

Optimizing the WEEE Recovery Network Associated with Environmental Protection Awareness and Government Subsidy by Nonlinear Mixed Integer Programming

Optimizing the WEEE Recovery Network Associated with Environmental Protection Awareness and Government Subsidy by Nonlinear Mixed Integer Programming

Developing an applied algorithm for multi-trip vehicle routing problem with time windows in urban waste collection: A case study

GRASP Solution Approach for the E-Waste Collection Problem

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