A memetic algorithm for bi-objective integrated forward/reverse logistics network design

Pishvaee, Mir Saman; Farahani, Reza Zanjirani; Dullaert, Wout

doi:10.1016/j.cor.2009.09.018

Cited by 362 publications

(170 citation statements)

References 43 publications

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“…The value of concordance index is between 0 and 1, the full truth of the assertion being indicated by a value of 1, while a value of 0 highlights that the statement is false. The concordance index is defined as follows [24]:…”

Section: Methodsmentioning

confidence: 99%

A multi-criteria decision making approach for the selection of a flexible packaging equipment

Cristea

2017

MATEC Web Conf.

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Abstract. Flexible packaging is one of the fastest growing segments of the packaging industry, combining paper, plastic film and aluminum foil to deliver a broad array of products for food and beverage, personal care products, and pharmaceutical industries. In order to preserve the quality and safety of the product contained in them, there are currently a variety of flexible packaging equipment options available. However their relative costs and performance differ. This study proposes an application of a ranking methodology to assess a selection of the most suitable flexible packaging equipment. The adequate criteria in the selection of equipment have been identified, and the considered options are assessed, considering the decision maker's preferences and existing constraints. The options are ranked in terms of their suitability for selecting equipment by using the Electre III method. The results obtained from the simulation experiment highlight the effectiveness of the model in outranking different options in the process of equipment selection.

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Section: Methodsmentioning

confidence: 99%

A multi-criteria decision making approach for the selection of a flexible packaging equipment

Cristea

2017

MATEC Web Conf.

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“…Thus, to avoid the sub-optimalities caused by the separated design, the design of the forward and reverse supply chain networks should be integrated (Pishvaee et al, 2010a;Fleischmann et al, 2001). Salema et al (2007) tried to develop the Fleischmann et al (2001) model and using stochastic mixed-integer programming approach under uncertainty.…”

Section: Closed-loop Supply Chain Network Designmentioning

confidence: 99%

A new fuzzy mathematical model for green supply chain network design

Amalnick¹,

Saffar

2017

10.5267/j.ijiec

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The environmental changes caused by industrial activities have spurred a significant interest in designing supply chain networks by considering environmental issues such as CO2 emission. The pivotal role of taking uncertainty and risk into account in closed-loop supply chain networks has induced numerous researchers and practitioners to develop appropriate decision making tools to cope with these issues in such networks. To design a supply chain regarding environmental impacts under uncertainty of the input data and to cope with the operational risks, this paper proposes a multi objective possibilistic optimization model. The proposed model minimizes traditional costs such as cost of products shipment, purchasing machines and so on, as well as minimizing the environmental impact, and as a results strikes a balance between the two objective functions. Furthermore, in order to solve the proposed multi objective fuzzy mathematical programming model, an interactive fuzzy solution approach is applied. Numerical experiments are used to prove the applicability and feasibility of the developed possibilistic programming model and the usefulness of the applied hybrid solution approach.

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“…Pishvaee et al [7] proposed a bi-objective mixed integer linear programming model to minimize the total costs and maximize the responsiveness of a CLSC network and used a Memetic algorithm to solve it. A bi-objective possibilistic optimization model that minimizes the total cost of CLSC and the total tardiness of delivered products was introduced by Pishvaee and Torabi [8].…”

Section: Literature Reviewmentioning

confidence: 99%

Closed loop supply chain network design for the paper industry: A multi-objective stochastic robust approach

et al. 2017

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Closed loop supply chain design is to provide an optimal platform for efficient and effective supply chain management. It is an essential and strategic operation management problem in supply chain management, and usually includes multiple and conflicting objectives. A new mixed integer non-linear programming model for a multi-objective closed loop supply chain network design problem in the paper industry is developed under uncertainty. The objective functions are to minimize the total cost, maximize the total volume flexibility and minimize the total number of vehicles hired in order to fulfill the paper industry's policies towards a cleaner and green environment. Also, a novel hybrid solution is presented based on stochastic programming, robust optimization and fuzzy goal programming. A numerical example utilizing the real data from the paper industry in East Azerbaijan of Iran is designed and the model performance is assessed. Furthermore, a recently developed Dragonfly Algorithm (DA) employed to solve the given problem in large scales and compared with Genetic Algorithm (GA). The results indicated that the DA achieved better performance compared with the GA.

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A memetic algorithm for bi-objective integrated forward/reverse logistics network design

Cited by 362 publications

References 43 publications

A multi-criteria decision making approach for the selection of a flexible packaging equipment

A multi-criteria decision making approach for the selection of a flexible packaging equipment

A new fuzzy mathematical model for green supply chain network design

Closed loop supply chain network design for the paper industry: A multi-objective stochastic robust approach

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