A product carbon footprint model for embodiment design based on macro-micro design features

Wang, Geng; Li, Fangyi; Zhao, Fu; Zhou, Lirong; Huang, Aihua; Wang, Liming; Sutherland, John W.

doi:10.1007/s00170-021-07557-7

Cited by 12 publications

(5 citation statements)

References 46 publications

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“…For the part of energy evaluation, manufacturing energy consumption and transportation energy consumption account for the largest proportion of customer's order energy consumption. Energy consumption prediction and evaluation of a product manufacturing design scheme under the condition of insufficient information can refer to our previous research results [7,43,44]. In addition, if the specific manufacturing process information is known, energy consumption evaluation method can refer to our recent research results [45,46].…”

Section: Energy-saving Decision Model For Equipment Resources Selecti...mentioning

confidence: 99%

“…Energy consumption is an important factor to consider in sustainable manufacturing [3,4]. It not only reflects the consumption of energy resources, but also serves as a metric to evaluate other environmental impacts such as carbon dioxide emissions and global warming [5][6][7]. As the world's largest manufacturing country, China's manufacturing energy consumption accounted for about 56.12% of the country's total energy consumption in 2020 [8].…”

Section: Introductionmentioning

confidence: 99%

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A Framework for Energy-saving Selection and Scheduling of Equipment Resources in a Networked Manufacturing Environment

Zhou

Wang²,

Liu³

et al. 2023

Preprint

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Improving the energy efficiency of manufacturing industry is a globally common choice to pursue sustainable development and achieve the goals of carbon peak and carbon neutrality. Networked manufacturing is a new business model formed under enterprise informatization. Networked manufacturing mode has some environmental characteristics that affect its energy saving potential, for example machining devices are numerous and scattered, manufacturing services are driven by customer orders, and significant random uncertainty occurs in manufacturing processes. This paper proposes a framework for equipment resource energy-saving selection and scheduling in networked manufacturing environment, mainly including: 1) Developing a fuzzy multi-objective decision-making model that takes into account economy, energy consumption, technology, and inter-enterprise collaboration, in pursuit of the selection of machining devices and logistics equipment to increase energy efficiency during the customer orders demand stage; 2) Establishing an energy-saving scheduling model for equipment resources based on non-cooperative game theory to meet the diverse needs of customers, that can balance the competitive interests between customer orders, and reduce manufacturing energy consumption, costs, and delivery dates in manufacturing tasks implementation stage; 3) In order to deal with random disturbance in the networked manufacturing, a scheduling model for equipment resources based on random chance constraint programming is built to optimize energy, economy, and production efficiency at the preventive stage of manufacturing tasks change; 4) A cloud platform implementation method of the proposed framework is briefly summarized. The framework plays common theoretical analysis that is significant to energy-saving allocation of the equipment resources in networked manufacturing.

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Section: Energy-saving Decision Model For Equipment Resources Selecti...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Framework for Energy-saving Selection and Scheduling of Equipment Resources in a Networked Manufacturing Environment

Zhou

Wang²,

Liu³

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…On this basis, this thesis carries out the low carbon design of the product. 2) F ( 3) F ( 4) F ( 5) F (6) Fig. 5.…”

Section: Example: Conceptual Design Of a Tomato Picking Robot Systemmentioning

confidence: 99%

“…Table 1: The production quantity of the product variant Product variant F (1) F ( 2) F ( 3) F ( 4) F ( 5) F (6) Production quantity 4 5 3 2 4 8…”

Section: Example: Conceptual Design Of a Tomato Picking Robot Systemmentioning

confidence: 99%

“…Zhang et al [5] performed carbon footprint calculations for the connecting units, but it only focused on the product structure aspect. Wang et al [6] proposed a comprehensive carbon footprint model for embodiment design based on macro-micro design features, which has complete design information and helps to apply the existing carbon footprint model to the implementation design stage. However, these studies have certain limitations: some of the research is mainly based on industrial ecology, and detailed technical research is temporarily ignored.…”

Section: Introductionmentioning

confidence: 99%

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Low-carbon design based on conceptual design methods for mechanical and electrical products

Gao¹,

Yang²,

Zhang

et al. 2023

Preprint

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This paper presents a conceptual product design method that considers the carbon emission factors of mechanical and electrical products, with the purpose of considering low carbon issues before designing products. Based on a comprehensive analysis of conventional product design procedures, the study extracts design information related to greenhouse gas emissions, itemizes and quantifies the information, and ultimately uncovers the relationship among carbon emissions, function and cost of newly designed products. This paper explains the proposed concepts of carbon efficiency and carbon factor, and combined them with the product design process to present a low-carbon design process of mechanical and electrical products. Furthermore, this paper presents a low-carbon design method of mechanical and electrical products, drawing on the product family design idea, with the GHG efficiency and cost constrained. The potential value of the method is demonstrated in a case study of a tomato picking robot.

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Toward product green design of modeling, assessment, optimization, and tools: a comprehensive review

Kong

Wang

et al. 2022

Int J Adv Manuf Technol

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A product carbon footprint model for embodiment design based on macro-micro design features

Cited by 12 publications

References 46 publications

A Framework for Energy-saving Selection and Scheduling of Equipment Resources in a Networked Manufacturing Environment

A Framework for Energy-saving Selection and Scheduling of Equipment Resources in a Networked Manufacturing Environment

Low-carbon design based on conceptual design methods for mechanical and electrical products

Toward product green design of modeling, assessment, optimization, and tools: a comprehensive review

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