On the modeling and solution algorithm for the reverse logistics recycling flow equilibrium problem

Chen, Huey Kuo; Chou, Huey Wen; Chiu, Yi Chang

doi:10.1016/j.trc.2007.05.001

Cited by 26 publications

(16 citation statements)

References 13 publications

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“…This is because reverse logistics considers logistics, warehousing, repairs, recycling, call centre support, reverse fulfillment, field service, etc, and could be as complex as forward logistics. Therefore, Chen et al (2007) consider four aspects to obtain this equilibrium: the right assignment of recyclable traffic; to consider the difference between the market demand function model in terms of the price formulation model, and the conventional network assignment model in terms of the quantity formulation model; to incorporate conversion factors of the solid waste input into output ratios; the landfill interest, all landfills should be represented as a single node with zero-valued conversion, and this factor should be linked to the demand market. Moreover, Lieckens and Vandaele (2007), Srivastava (2007) and Ko and Evans (2007) believe that an efficient recovery logistics product design must consider the location and the capacities of the facilities, as well as flow products.…”

Section: Reverse Logisticsmentioning

confidence: 99%

“…Moreover, reverse logistics management must consider many aspects, which makes it a difficult task to carry out. In this context, Chen et al (2007) identifies the main common activities related to reverse logistics, these being: logistics process, warehousing, repair, refurbishment, recycling, e-waste, after market call centre support, reverse fulfillment and field service, among others. Furthermore and depending on the environments, the main customer or the supplier requirements, the reverse logistics process can be as complex as forward logistics.…”

Section: Introductionmentioning

confidence: 99%

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The Reverse Logistic Process of an Automobile Supply Chain Network Supported by a Collaborative Decision-Making Model

2010

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Decision system technologies have long since been a strong support to model and solve planning complexities in the supply chain in a collaborative context. Moreover, one of the main topics to emerge is reverse logistics, which is becoming more relevant in supply chains in terms of the logistics process of removing new or used products from their initial point. Therefore, to present the main aspects that should be considered to share the decision information, which is already used among the members of the supply chain, a study of reverse logistics has been carried out to discover how decision-making activities support the process in supply chains. FurtherThis research has been carried out in the framework of a project funded by the Ministry of Science and Education of Spain, entitled Simulation and evolutionary computation and fuzzy optimisation models of transportation and production planning processes in a supply chain. Proposal of collaborative planning supported by multi-agent systems. Integration in a decision system. Applications (EVOLUTION project, DPI2007-65501, www.cigip.upv.es/evolution). 123 80 J. E. Hernández et al.more, a simulation experiment has been performed with both the DGRAI 3.0 tool and Rockwell Arena 11 to observe the quality evolution of decision making and the economical impact that the proposed collaborative model will have on the current system. Moreover, this research work shows that a clear impact will appear on the decisional quality at the bottom levels of the supply chain than on the decisional quality of the whole system. The main work hypothesis is that the logistic process costs must lower given the implementation of the proposed collaborative model.

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Section: Reverse Logisticsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Reverse Logistic Process of an Automobile Supply Chain Network Supported by a Collaborative Decision-Making Model

2010

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“…De esta manera, existe el compromiso de brindar desarrollar procesos que aporten al desarrollo sostenible, a la vez que se cumplen con objetivos económicos, sociales y ecológicos en estos diseños (Feitó et al, 2016). El modelo propuesto optimiza dos objetivos clave para el proceso objeto de estudio, por lo que se considera pertinente y original, a la vez que complementa otros modelos existentes en la literatura científica (Chen et al, 2007;Gou et al, 2008y Lee y Dong, 2009. La propuesta del artículo soluciona parte de la contradicción existente entre la necesidad del proceso de optimizar estos objetivos y la ausencia, al menos de forma explícita, de una herramienta metodológica que lo permita, por tal razón se considera que constituye una contribución al conocimiento científico.…”

Section: Resultados Y Discusiónunclassified

Modelo de Programación Lineal Multiobjetivo para la Logística Inversa en el Sector Plástico de Polipropileno

Granadillo

Vélez²,

López

2017

Inf. tecnol.

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ResumenEn esta investigación se presenta un modelo de programación lineal multiobjetivo para la logística inversa del sector plástico de polipropileno. Para ello, se realizó una revisión de los referentes teóricos relacionados con el proceso de recuperación del plástico de polipropileno a partir de residuos sólidos urbanos y los desperdicios de los procesos industriales. Seguidamente se definió un modelo de programación lineal multiobjetivo el cual incorpora las variables y parámetros identificados en el diseño del proceso de logística inversa. Finalmente se hace un análisis comparativo de un caso de estudio para determinar el impacto del modelo en los resultados del programa de planeación logística. Se muestra un mejoramiento del 12,6% en los costos asociados al programa de planeación. Al mismo tiempo se optimiza el Índice de Degradación a la Procesabilidad lo que genera una buena calidad del polipropileno reciclado. Palabras clave: logística inversa; índice de degradación; residuos sólidos; plástico; programación lineal multiobjetivo Multiobjective Linear Programming Model for Reverse Logistics in the Polypropylene Plastics Industry AbstractA model of multi-objective linear programming for reverse logistics sector of plastic polypropylene is presented in this paper. For this, a review of the theoretical framework related to the recovery process of polypropylene plastic from municipal solid waste and waste of industrial processes was done. Next, a multiobjective linear programming model which incorporates the variables and parameters identified in the design of the reverse logistics process was defined. Finally, a comparative analysis of a case study is done to determine the impact of the model on the results of the program logistics planning. An improvement of 12.6% was found in the costs associated with the program planning. At the same time, the Degradation to Processability Index is optimized which generates good quality recycled polypropylene.

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“…To analyze the behavior of agents in reverse logistics network, Nagurney and Toyasaki [61], Chen et al [62] and Hammond and Beullens [63] proposed a network equilibrium model for reverse logistics recycling network by using the variational inequality (VI) approach. All proposed models addressed single-period and singlecommodity flow problem for the recycling waste of electric and electronic equipment (WEE).…”

Section: Impact Of Transportation On Product Recoverymentioning

confidence: 99%

“…All proposed models addressed single-period and singlecommodity flow problem for the recycling waste of electric and electronic equipment (WEE). The proposed models consider an open-loop system with four-tiered network comprised of four agents including the sources of electronic waste, the recyclers, the processors and demand markets (Nagurney and Toyasaki,[61]; Chen et al, [62]) and a closed-loop system with a two-tiered network and two agents including manufacturers and consumer markets [63].…”

Section: Impact Of Transportation On Product Recoverymentioning

confidence: 99%

International Advisory Board

Ahmed¹,

Banerjee²,

Bos³

et al. 2010

Davidson's Principles and Practice of Medicine

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On the modeling and solution algorithm for the reverse logistics recycling flow equilibrium problem

Cited by 26 publications

References 13 publications

The Reverse Logistic Process of an Automobile Supply Chain Network Supported by a Collaborative Decision-Making Model

The Reverse Logistic Process of an Automobile Supply Chain Network Supported by a Collaborative Decision-Making Model

Modelo de Programación Lineal Multiobjetivo para la Logística Inversa en el Sector Plástico de Polipropileno

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