B B V L Deepak

Dr. B B V L Deepak

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2018 in Procedia Computer Science
Verified
Journal Article
Open access
UMUm Rao Mogili
Um Rao Mogili
BDB B V L Deepak
B B V L Deepak

1 April 2019 in Robotics and Computer-Integrated Manufacturing
Verified
Journal Article
Closed access
ARAmruta Rout
Amruta Rout
BDB B V L Deepak
B B V L Deepak
BBB.B. Biswal
B.B. Biswal

1 February 2017 in Applied Energy
Verified
Journal Article
Closed access
HBHarisankar Bendu
Harisankar Bendu
BDB B V L Deepak
B B V L Deepak
SMS. Murugan
S. Murugan

1 August 2016 in Energy Conversion and Management
Verified
Journal Article
Closed access
HBHarisankar Bendu
Harisankar Bendu
BDB B V L Deepak
B B V L Deepak
SMS. Murugan
S. Murugan

29 March 2018 in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
Verified
Journal Article
Closed access
BDB B V L Deepak
B B V L Deepak
BGBalamurali Gunji
Balamurali Gunji
MBM V A Raju Bahubalendruni
M V A Raju Bahubalendruni
BBBb Biswal
Bb Biswal
The implementation of artificial intelligence techniques is increasing rapidly in recent years to solve numerous engineering problems. Assembly sequence planning is one of the prominent complex combinatorial problem draw attention of industrial engineers to economize the overall manufacturing cost by minimizing the assembly time and energy. Due to large search space and multiple assembly predicate criteria, researchers are motivated towards efficient utilization of AI techniques to address the problem. Literature review on various artificial intelligence techniques for obtaining the optimal assembly sequence planning are analyzed and the limitations of the existed methodologies are discussed in detail. This review provides an outlook for the researchers on various artificial intell1igent techniques which will be useful to carry out research for obtaining the optimum assembly sequence planning while qualifying various assembly predicate criteria.

1 January 2018 in Procedia Computer Science
Verified
Journal Article
Open access
MSMbl Saraswathi
Mbl Saraswathi
BGBalamurali Gunji
Balamurali Gunji
BDB B V L Deepak
B B V L Deepak