Abstract:Analyzing energy consumption is an important task for a factory. In order to accomplish this task, most studies fit the relationship between energy consumption and product design features, process characteristics, or equipment types. However, the energy-saving effects of product yield learning are rarely considered. To bridge this gap, this study proposes a two-stage fuzzy approach to estimate the energy savings brought about by yield improvement. In the two-stage fuzzy approach, a fuzzy polynomial programming… Show more
“…Green product manufacturing: Analyzing energy consumption is an essential task for a factory [42], and green manufacturing activities form the basis for producing green and environmentally friendly goods [43]. Quality optimization is used to improve the quality characteristics of green products, as a high-quality product means less time wasted on interruptions and restarts in the production process as well as less waste and defective products [44].…”
This article aims to target the key factors that could positively affect crowdfunding success for green products in order to promote crowdfunding efficiency and green supply chain management. Methods: Data were collected through expert interviews and questionnaires and then processed through analytic hierarchy process (AHP) analysis. Statistical tool: This study used Expert Choice as the software for AHP analysis. Sampling: There were 20 participants (20 effective) in pretesting and 30 (23 effective) in formal testing. Participants were followers of green products in Taiwan. Results: (1) Twenty-four factors were abstracted to form the final construct; (2) the 24 key factors could be divided into 2 hierarchies, with 5 primary factors and 19 secondary factors; (3) among the 5 primary factors, “green diversified context” was the most influential; (4) among the 19 secondary factors, “product material is safe and non-toxic” was the most important. Conclusions: Funders would be likely to finance green products on crowdfunding platforms if these products fit the 24 key factors in orders. Implications: This research contributes to product life cycle theory and crowdfunding theory and practically improves the sustainability of green products.
“…Green product manufacturing: Analyzing energy consumption is an essential task for a factory [42], and green manufacturing activities form the basis for producing green and environmentally friendly goods [43]. Quality optimization is used to improve the quality characteristics of green products, as a high-quality product means less time wasted on interruptions and restarts in the production process as well as less waste and defective products [44].…”
This article aims to target the key factors that could positively affect crowdfunding success for green products in order to promote crowdfunding efficiency and green supply chain management. Methods: Data were collected through expert interviews and questionnaires and then processed through analytic hierarchy process (AHP) analysis. Statistical tool: This study used Expert Choice as the software for AHP analysis. Sampling: There were 20 participants (20 effective) in pretesting and 30 (23 effective) in formal testing. Participants were followers of green products in Taiwan. Results: (1) Twenty-four factors were abstracted to form the final construct; (2) the 24 key factors could be divided into 2 hierarchies, with 5 primary factors and 19 secondary factors; (3) among the 5 primary factors, “green diversified context” was the most influential; (4) among the 19 secondary factors, “product material is safe and non-toxic” was the most important. Conclusions: Funders would be likely to finance green products on crowdfunding platforms if these products fit the 24 key factors in orders. Implications: This research contributes to product life cycle theory and crowdfunding theory and practically improves the sustainability of green products.
“…The paper authored by Wu et al [2] studies the energy-saving effects brought by yield improvement in a factory and proposes a two-stage fuzzy approach to estimate the energy savings. The actual case of a dynamic random-access memory factory was used to illustrate that product yield learning can greatly reduce electricity consumption.…”
During the last decades, fuzzy optimization and fuzzy decision making have gained significant attention, aiming to provide robust solutions for problems in making decisions and achieving complex optimization characterized by non-probabilistic uncertainty, vagueness, ambiguity and hesitation [...]
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