Energy-efficient production planning using a two-stage fuzzy approach

3Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

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 approach is first utilized to fit the yield-learning process of a product. Then, the relationship between monthly electricity consumption and increase in yield was fit to estimate the energy savings brought about by the improvement in yield. The actual case of a dynamic random-access memory factory was used to illustrate the applicability of the two-stage fuzzy approach. According to the experiment results, product yield learning can greatly reduce electricity consumption.

References Powered by Scopus

Ranking of drivers for integrated lean-green manufacturing for Indian manufacturing SMEs

282Citations
N/AReaders
Get full text

Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints

260Citations
N/AReaders
Get full text

Time-split cross-validation as a method for estimating the goodness of prospective prediction.

220Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Construct and Priority Ranking of Factors Affecting Crowdfunding for Green Products

3Citations
N/AReaders
Get full text

Explainable Ambient Intelligence (XAmI): Explainable Artificial Intelligence Applications in Smart Life

2Citations
N/AReaders
Get full text

Preface to the special issue on “applications of fuzzy optimization and fuzzy decision making”

2Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Wu, H. C., Tsai, H. R., Chen, T. C. T., & Hsu, K. W. (2021). Energy-efficient production planning using a two-stage fuzzy approach. Mathematics, 9(10). https://doi.org/10.3390/math9101101

Readers' Seniority

Tooltip

Professor / Associate Prof. 2

33%

PhD / Post grad / Masters / Doc 2

33%

Lecturer / Post doc 1

17%

Researcher 1

17%

Readers' Discipline

Tooltip

Engineering 6

75%

Agricultural and Biological Sciences 1

13%

Business, Management and Accounting 1

13%

Save time finding and organizing research with Mendeley

Sign up for free