Multi-objective optimization of reverse logistics network with fuzzy demand and return-product using an interactive fuzzy goal programming approach

Mirakhorli, Abbas

doi:10.1109/iccie.2010.5668181

Cited by 8 publications

(2 citation statements)

References 21 publications

(27 reference statements)

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“…In the interactive fuzzy goal programming process of this study, DM reflects the supply chain director which warranted by the board chairman of the entire CLSC. In RL & CLSC network design concept, this method was applied and modified by [60,61]. The application procedure of this approach is shown in Fig.…”

Section: Optimization Results Via Interactive Fuzzy Goal Programming mentioning

confidence: 99%

Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming

Subulan

Taşan

Baykasoğlu

2015

Applied Mathematical Modelling

125

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Significant environmental problems have been experienced due to the growth in the amount of used tires every year. In addition, both remanufacturing and recycling options for the end of life tires have become crucial issues nowadays because of the difficulty related to the dissociation of these scrap tires in the environment and the economic benefits of material and energy recovery. In this respect, effective collection, storage, recycle and proper disposal of these end-of-life tires without damaging the environment require designing an efficient closed-loop supply chain network. Based on this motivation, this paper presents a holistic modeling approach for a tire closed-loop supply chain via mixed integer linear programming. Alternative recovery options such as remanufacturing, recycling and energy recovery are considered simultaneously in that model. The main objective of this paper is developing a multi-objective, multi-echelon, multi-product and multi-period logistics network design model in a more holistic manner while taking into account the environmental issues. For quantifying the environmental impact along the closed-loop supply chain, a life cycle assessment based and damage oriented method (Eco-indicator 99) is used. The model is applied to an illustrative case study and interactive fuzzy goal programming approach is utilized for solving the proposed fuzzy multiple-objective network optimization model. In order to reach best profit values and environmental indicator that are targeted, effects of some parameters (factors) within the profit and damage function are examined with the help of Taguchi design of experiment technique. Experimental runs are conducted by using the optimization solver of ILOG OPL Studio 6.3 and results are evaluated through Taguchi's (S/N) ratios, analysis of means graphs, interaction graphs and analysis of variance (ANOVA) via MINITAB 14.

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Section: Optimization Results Via Interactive Fuzzy Goal Programming mentioning

confidence: 99%

Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming

Subulan

Taşan

Baykasoğlu

2015

Applied Mathematical Modelling

125

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“…They used a fuzzy multi-objective programming approach to solve the problem. Mirakhorli [9] employed an interactive FGP method to solve the fuzzy multi-objective reverse logistics network design problem including minimization the total cost and total transportation time with fuzzy demand and return-product. Khajavi et al [10] proposed a bi-objective mixedinteger programming model to minimize the total costs as well as maximize the responsiveness of the CLSC network and applied branch and bound method to find a global optimum for the proposed model.…”

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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Multi-criteria Fuzzy Goal Programming Under Multi Uncertainty

Watada

Arbaiy

Chen

2021

Vision, Sensing and Analytics: Integrative Approaches

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Multi-objective optimization of reverse logistics network with fuzzy demand and return-product using an interactive fuzzy goal programming approach

Cited by 8 publications

References 21 publications

Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming

Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming

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

Multi-criteria Fuzzy Goal Programming Under Multi Uncertainty

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