Multi-objective optimization decision-making of quality dependent product recovery for sustainability

Meng, Kai; Lou, Peihuang; Peng, Xianghui; Prybutok, Victor R.

doi:10.1016/j.ijpe.2017.03.017

Cited by 52 publications

(29 citation statements)

References 38 publications

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“…Flexibility of multi-objective optimization rather than single objective optimization for solving optimization problems, despite several conflicting goals, is another advantage of this approach. Therefore, a desire for solving multi-objective problems led researchers to utilize more exact and complicated processes and patterns based on Pareto front strategy for increasing energy efficiency [28,52,58,122].…”

Section: Single Objective and Multi-objective Optimizationmentioning

confidence: 99%

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Sustainability and Optimization: From Conceptual Fundamentals to Applications

2020

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In recent years, both sustainability and optimization concepts have become inseparable developing topics with diverse concepts, elements, and aspects. The principal goal of optimization is to improve the overall sustainability including the environmental sustainability, social sustainability, economic sustainability, and energy resources sustainability through satisfying the objective functions. Therefore, applying optimization algorithms and methods to achieve the sustainable development have significant importance. This paper represents a considerable review on the employed optimization methodologies to sustainability and the sustainable development including sustainable energy, sustainable buildings, and sustainable environment. Since energy optimization is one of the major necessities of sustainability, sustainable development is investigated from the energy perspective. In addition, the concept, definitions, and elements of the sustainability and optimization have been presented, and the review of the optimization metaheuristic algorithms used in recent published articles related to sustainability and sustainable development was carried out. Thus, it is believed that this paper can be appropriate, beneficial, and practical for students, academic researchers, engineers, and other professionals.

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Section: Single Objective and Multi-objective Optimizationmentioning

confidence: 99%

“…A decision-making issue with the quality-based product recovery was explored in [28] with multiple optimization goals, including economic, environmental, and societal performance of sustainability. In this article, MOEA was utilized for solving the MOOP problem and finding an optimal solution.…”

Section: Introductionmentioning

confidence: 99%

Sustainability and Optimization: From Conceptual Fundamentals to Applications

2020

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“…Research has been done in the field of lean manufacturing (Sahoo et al, 2008;Verrier et al, 2015) which reduced production cost and increases productivity of system but have a negligible effect on energy efficiency of manufacturing system. Other ways of reducing production cost include optimizing the lot size (Naeem et al, 2013), minimizing loss (Batson and Shishoo, 2004), product recovery (Meng et al, 2017) but neither of them energy efficiency of the manufacturing system.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling, analysis, and improvement of integrated productivity and energy consumption in a serial manufacturing system

Bajpai

Fernandes

Tiwari

2018

Journal of Cleaner Production

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2018) 'Modeling, analysis, and improvement of integrated productivity and energy consumption in a serial manufacturing system. Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details.Please cite this article as: Amlendu Bajpai, Kiran Jude Fernandes, Manoj Kumar Tiwari, Modeling, analysis, and improvement of integrated productivity and energy consumption in a serial manufacturing system,, AbstractThe performance of a manufacturing system is measured by factors such as its productivity and energy efficiency. Current systems lack the required indices to measure its efficiency and highlight the areas of inefficiency in the system. The paper is aimed at improving the overall performance of manufacturing system by suggesting methods for integrated improvement in above two factors. This paper establishes performance indices for measuring energy efficiency and productivity of the system, which uses easily available sensor data from the production line. The energy structure and effects of downtime events on the production line has been analyzed to develop energy and productivity performance indicators. The indices are utilized to identify the machines which is most power inefficient and results in maximum production loss of the system. These indicators are utilized to illustrate our method for improving productivity and concepts of downtime-bottleneck and power-bottleneck. The methods proposed are verified by simulation studies.

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“…Zhang and He [12] propose an optimal pricing model, where the recycled products are repaired and resold as green remanufactured products in the second sales period. As recycling and remanufacturing are usually embedded in a closed-loop supply chain, there are many other works on pricing decisions in recycling and remanufacturing in a closed-loop supply chain [13][14][15][16][17][18][19][20][21][22][23]. To our knowledge, in most existing papers, recycled products are assumed as raw materials for producing new products, and different strategies for remanufacturing recycled products in different conditions are rarely taken into account.…”

Section: Introductionmentioning

confidence: 99%

Optimal Pricing in Recycling and Remanufacturing in Uncertain Environments

Yan

Yang

2020

Sustainability

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With the increasing awareness of environmental protection, firms pay much more attention to the recycling and remanufacturing of used products. This paper addresses the problem of the optimal pricing in recycling and remanufacturing in uncertain environments. We consider two strategies of remanufacturing products, by which a recycled product can be repaired and sold as a second-hand product or dissembled into materials for production of new products according to its quality. As the market demand for products and the quantities of recycled products, such as fashion products and mobile phones, usually lack historical data, this paper adopts uncertainty theory to depict uncertainty in establishing the pricing model. An uncertain programming model and a series of crisp equivalent models are proposed under the assumptions of particular uncertainty distribution. Finally, numerical experiments are performed to show how various parameters influence the results of the proposed model.

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Multi-objective optimization decision-making of quality dependent product recovery for sustainability

Cited by 52 publications

References 38 publications

Sustainability and Optimization: From Conceptual Fundamentals to Applications

Sustainability and Optimization: From Conceptual Fundamentals to Applications

Modeling, analysis, and improvement of integrated productivity and energy consumption in a serial manufacturing system

Optimal Pricing in Recycling and Remanufacturing in Uncertain Environments

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