Evaluation of sites for the location of WEEE recycling plants in Spain

Queiruga, Dolores; Walther, Grit; González‐Benito, Javier; Spengler, Thomas S.

doi:10.1016/j.wasman.2006.11.001

Cited by 161 publications

(72 citation statements)

References 14 publications

(19 reference statements)

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“…Selection of an appropriate transportation system in an underground mine, (Elevli and Demirci, 2004), Selection of suitable alternatives for optimal utilization of energy (Shirsikar and Patil, 2005), Assessment of famous alternatives in production of energy (Diakoulaki and Karangelis, 2007), The choice of appropriate alternatives for profitable investment in stock market (Albadavi, et al, 2007), Assessment of suitable location for a recycling factory (Queiruga, et al, 2008), Evaluation of potential of alternatives for a construction company (Ginevicius et al, 2010), Choosing a suitable system to dry material (Prvulovic et al, 2011), Selection of appropriate alternatives for profitable investment in stock market (Chen et al, 2011), Selection of suitable alternatives in designing rescuer robots (Taillandier and Stinckwich, 2011), Selection of raw materials supplier (Safari et al, 2012), Selection of a suitable way for machining (Karandea and Chakraborty, 2012) and Choosing the best alternatives for determining the location of storage (Fontana and Cavalcante, 2014) are samples of these researches.…”

Section: Researches Grau Used Elimination Et Choicementioning

confidence: 99%

Evaluation of Combating Desertification Alternatives Using Promethee Model

Sadeghravesh¹,

Khosravi²,

Abolhasani³

et al. 2016

JGG

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According to the extent of damage, various effects and complexity of desertification process, selecting appropriate alternatives considering all effective desertification criterions is one of the main concerns of Iran in the field of natural resources. This can be effective in controlling, reclamation of disturbed lands and avoiding destruction areas at desertification risk. This paper tries to provide a systematic and optimal alternatives in a group decision-making model. For this aim, PROMETHEE II method was used for ranking desertification alternatives. At the first in the framework of Multiple Attribute Decision-making (MADM), normalized decision matrix was provided by Delphi model. Then, to ease and accuracy in estimating the criteria preference and alternatives priority, the normalized decision matrix data were entered in Visual PROMETHEE software. Based on the results, the alternatives of prevention of unsuitable land use changes (A18), vegetation cover development and reclamation (A23) and modification of ground water harvesting (A31) with pure out ranking progress of =0.3660, 0.1909 and -0.0887 were selected as the main combating desertification altarnative in the study area, respectively. Therefore, it is suggested that the obtained results and ranking should be considered in projects of controlling and reducing the effects of desertification and rehabilitatyion of degraded lands plans.

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Section: Researches Grau Used Elimination Et Choicementioning

confidence: 99%

Evaluation of Combating Desertification Alternatives Using Promethee Model

Sadeghravesh¹,

Khosravi²,

Abolhasani³

et al. 2016

JGG

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“…Once a storage container-usually an iron-barred box-at a collection point is full, one of the companies selling electrical or electronic products has to organize the pickup of the box and the recycling of its contents. Some examples are presented in Queiruga et al (2008) andFernández et al (2009). As 5-10 iron-barred boxes t in a truck, the logistics provider can schedule a truck to visit several collection points in a day.…”

Section: Practical Applications and Related Literaturementioning

confidence: 99%

Scheduling policies for multi-period services

Nunez-del-Toro

Fernández

Kalcsics

et al. 2016

European Journal of Operational Research

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This paper discusses a multi-period service scheduling problem. In this problem, a set of customers is given who periodically require service over a finite time horizon. To satisfy the service demands, a set of operators is given, each with a fixed capacity in terms of the number of customers an operator can serve per period. The task is to determine for each customer the periods in which he will be visited by an operator such that the periodic service requests of the customers are adhered to and the total number of operators used over the time horizon is minimal. Two alternative policies for scheduling customer visits are considered. In the first one, a customer is visited just on time, i.e., in the period where he or she has a demand for service. The second policy allows service visits ahead of time. The rationale behind this policy is that allowing irregular visits may reduce the overall number of operators needed throughout the time horizon. To solve the problem, integer linear programming formulations are proposed for both policies and numerical experiments are presented that show the reduction in the number of operators used when visits ahead of time are allowed. As only small instances can be solved optimally, a heuristic algorithm is introduced in order to obtain good quality solutions and shorter computing times.Peer ReviewedPostprint (author's final draft

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“…This has become a popular method with research work developed in several topics, namely: environment management, hydrology and water management, business and financial management, chemistry, logistics and transportation, manufacturing and assembly, energy management, and other topics that include several fields: medicine, agriculture, education, design, government, and sports (Behzadian et al, 2009). This method has been applied for solving multi-criteria decision aid problems, including location decision problems, such as: locating waste electrical and electronic equipment recycling plants is Spain (Queiruga et al, 2008); locating a waste treatment facility in Finland (Hokkanen and Salminen, 1997); ranking enterprises according to an achieved level of business efficiency (Babic and Plazibat, 1998); planning a theme park in Madrid (Fernández and Martin, 1999); prioritize environmental projects in Jordan (Al-Rashdan et al, 1998); find the most suitable underground ore transport system for a chromate mine in Turkey (Elevli and Demirci, 2004). …”

Section: -4mentioning

confidence: 99%

A multi-criteria decision aid methodology to design electric vehicles public charging networks

et al. 2015

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This article presents a new multi-criteria decision aid methodology, dynamic-PROMETHEE, here used to design electric vehicle charging networks. In applying this methodology to a Portuguese city, results suggest that it is effective in designing electric vehicle charging networks, generating time and policy based scenarios, considering offer and demand and the city’s urban structure. Dynamic-PROMETHE adds to the already known PROMETHEE’s characteristics other useful features, such as decision memory over time, versatility and adaptability. The case study, used here to present the dynamic-PROMETHEE, served as inspiration and base to create this new methodology. It can be used to model different problems and scenarios that may present similar requirement characteristics.

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Evaluation of sites for the location of WEEE recycling plants in Spain

Cited by 161 publications

References 14 publications

Evaluation of Combating Desertification Alternatives Using Promethee Model

Evaluation of Combating Desertification Alternatives Using Promethee Model

Scheduling policies for multi-period services

A multi-criteria decision aid methodology to design electric vehicles public charging networks

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