ROBUST PROGRAMMING MODELS FOR DESIGN AND OPTIMIZATION OF MICROALGAE-BASED BIOFUEL SUPPLY CHAIN UNDER UNCERTAINTY

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MOHSENI SHAYAN; PISHVAEE MIRSAMAN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: ADVANCES IN MATHEMATICAL MODELING Year:2017 | Volume:7 | Issue:1 Page(s): 59-88

Download Full-Text

Persian Verion

View:

1,142

Download:

Cites:

Information Journal Paper

Title

ROBUST PROGRAMMING MODELS FOR DESIGN AND OPTIMIZATION OF MICROALGAE-BASED BIOFUEL SUPPLY CHAIN UNDER UNCERTAINTY

Author(s)

MOHSENI SHAYAN | PISHVAEE MIRSAMAN | Issue Writer Certificate

Keywords

GREEN FUELSQ1

MICROALGAEQ1

ROBUST OPTIMIZATIONQ1

SUPPLY CHAIN DESIGNQ2

Abstract

The sharp decline in oil resources and environmental pollutions are the most important motivations for the development of GREEN FUELS in Iran. Among the different raw materials used for the production of GREEN FUELS, MICROALGAE is considered as one of the most important resources and have attracted a lot of attentions globally. In order to accelerate the development of this industry, it is essential to design an efﬁcient MICROALGAE-based biofuel supply chain. For this purpose, this paper proposes robust programming approaches for the design and optimization of the MICROALGAE biofuel supply chain under uncertainty. The proposed supply chain optimization model is formulated based on two ROBUST OPTIMIZATION approaches under different uncertainty sets. In a case study, the performance of the two robust SUPPLY CHAIN DESIGN models is evaluated by considering the different degrees of conservatism level of decision makers. The results of the robust models and sensitivity analysis show that the developed supply chain model can be used for the development of MICROALGAE biofuel in the future.

Cites

No record.

References

No record.

Cite

APA: Copy

MOHSENI, SHAYAN, & PISHVAEE, MIRSAMAN. (2017). ROBUST PROGRAMMING MODELS FOR DESIGN AND OPTIMIZATION OF MICROALGAE-BASED BIOFUEL SUPPLY CHAIN UNDER UNCERTAINTY. ADVANCES IN MATHEMATICAL MODELING, 7(1 ), 59-88. SID. https://sid.ir/paper/243894/en

Vancouver: Copy

MOHSENI SHAYAN, PISHVAEE MIRSAMAN. ROBUST PROGRAMMING MODELS FOR DESIGN AND OPTIMIZATION OF MICROALGAE-BASED BIOFUEL SUPPLY CHAIN UNDER UNCERTAINTY. ADVANCES IN MATHEMATICAL MODELING[Internet]. 2017;7(1 ):59-88. Available from: https://sid.ir/paper/243894/en

IEEE: Copy

SHAYAN MOHSENI, and MIRSAMAN PISHVAEE, “ROBUST PROGRAMMING MODELS FOR DESIGN AND OPTIMIZATION OF MICROALGAE-BASED BIOFUEL SUPPLY CHAIN UNDER UNCERTAINTY,” ADVANCES IN MATHEMATICAL MODELING, vol. 7, no. 1 , pp. 59–88, 2017, [Online]. Available: https://sid.ir/paper/243894/en

Related Journal Papers