Low-carbon product multi-objective optimization design for meeting requirements of enterprise, user and government

Xu, Zhizheng; Wang, Yishou; Teng, Zhen-Ru; Zhong, Chongquan; Teng, Hong‐Fei

doi:10.1016/j.jclepro.2014.07.067

Cited by 43 publications

(21 citation statements)

References 20 publications

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“…The processing equipment and tools available for processing the blank of the box body can be seen in Table 4; Table 5 [17,46]. The carbon emission factor of the cutting tool is 30.153kgCO2/kg, the carbon emission factor of the cutting fluid is 0.469 kgCO2/kg, and the cutting fluid replacement cycle is two months, the relevant parameters can be obtained by referring to the literature [47][48][49][50].…”

Section: Analysis Of Processing Characteristicsmentioning

confidence: 99%

Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

et al. 2021

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The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.

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Section: Analysis Of Processing Characteristicsmentioning

confidence: 99%

Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

et al. 2021

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“…Kuo [9] set up an optimization planning model for low-carbon product design with consideration of product cost, supplier capacity, and transport mode of a part. To address the conflict of requirements among enterprise, user, and government, Xu et al [10] studied a low-carbon product multi-objective optimization approach to achieve triple win requirements of enterprise, government, and user. He et al [11] gave a low-carbon product design approach in consideration of a product life cycle.…”

Section: Low-carbon Product Designmentioning

confidence: 99%

An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products

Wang

Tang

et al. 2019

Sustainability

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With increasingly stringent environmental regulations on emission standards, enterprises and investigators are looking for effective ways to decrease GHG emission from products. As an important method for reducing GHG emission of products, low-carbon product family design has attracted more and more attention. Existing research, related to low-carbon product family design, did not take into account remanufactured products. Nowadays, it is popular to launch remanufactured products for environmental benefit and meeting customer needs. On the one hand, the design of remanufactured products is influenced by product family design. On the other hand, the launch of remanufactured products may cannibalize the sale of new products. Thus, the design of remanufactured products should be considered together with the product family design for obtaining the maximum profit and reducing the GHG emission as soon as possible. The purpose of this paper is to present an optimization model to concurrently determine product family design, remanufactured products planning and remanufacturing parameters selection with consideration of the customer preference, the total profit of a company and the total GHG emission from production. A genetic algorithm is applied to solve the optimization problem. The proposed method can help decision-makers to simultaneously determine the design of a product family and remanufactured products with a better trade-off between profit and environmental impact. Finally, a case study is performed to demonstrate the effectiveness of the presented approach.

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“…Conflict problem model in equations (12) and (13) points out which characteristic is not satisfied, but it still needs to map the conflict problem of the unsatisfactory characteristic onto the basic structure to reveal its conflict mechanism. In this work, we adopt design matrix (DM) to describe the hierarchical relationships among the product characteristic, product module, structure, and low-carbon basic structure (LCBS).…”

Section: Mapping Of Conflict Problemsmentioning

confidence: 99%

Accelerating preliminary low-carbon design for products by integrating TRIZ and Extenics methods

Ren

Gui

Zhao

et al. 2017

Advances in Mechanical Engineering

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Low-carbon performance as well as the quality and cost of a new product are normally emphasized in the early phase of low-carbon design for products. Although the TRIZ method and Extenics theory can be applied separately to solve contradiction problems in design field, these two methods have their weaknesses in applications. The purpose of this study is to provide a novel model for accelerating the preliminary low-carbon design by integrating the TRIZ and Extenics methods. Analysis tools and knowledge base tools of TRIZ are adopted to generate generic strategies; basic-element theory and dependent function of Extenics are used to qualitatively and quantitatively describe the conflict problem in a formalized model, and detailed transformation operations are employed to achieve the feasible design solutions. Innovative design schemes for two kinds of conflict problems of the screw air compressor demonstrate the effectiveness of the proposed method.

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Low-carbon product multi-objective optimization design for meeting requirements of enterprise, user and government

Cited by 43 publications

References 20 publications

Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products

Accelerating preliminary low-carbon design for products by integrating TRIZ and Extenics methods

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