Machine learning based adaptive framework for logistic planning in industry 4.0

Krista Chaudhary; Mayank Singh; Sandhya Tarar; D. K. Chauhan; Viranjay M. Srivastava

doi:10.1007/978-981-13-1810-8_43

Machine learning based adaptive framework for logistic planning in industry 4.0

Krista Chaudhary^*, Mayank Singh, Sandhya Tarar, D. K. Chauhan, Viranjay M. Srivastava

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (SciVal)

Original language	English
Title of host publication	Advances in Computing and Data Sciences - 2nd International Conference, ICACDS 2018, Revised Selected Papers
Editors	Mayank Singh, Vipin Tyagi, Tuncer Oren, P.K. Gupta, Jan Flusser
Publisher	Springer Verlag
Pages	431-438
Number of pages	8
ISBN (Print)	9789811318092
DOIs	https://doi.org/10.1007/978-981-13-1810-8_43
Publication status	Published (VoR) - 2018
Event	2nd International Conference on Advances in Computing and Data Sciences, ICACDS 2018 - Dehradun, India Duration: 20 Apr 2018 → 21 Apr 2018

Publication series

Name	Communications in Computer and Information Science
Volume	905
ISSN (Print)	1865-0929

Conference

Conference	2nd International Conference on Advances in Computing and Data Sciences, ICACDS 2018
Country/Territory	India
City	Dehradun
Period	20/04/18 → 21/04/18

Keywords

Industry 4.0
Logistic planning
Procurement 4.0
Supply chain management

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10.1007/978-981-13-1810-8_43

Cite this

Chaudhary, K., Singh, M., Tarar, S., Chauhan, D. K., & Srivastava, V. M. (2018). Machine learning based adaptive framework for logistic planning in industry 4.0. In M. Singh, V. Tyagi, T. Oren, P. K. Gupta, & J. Flusser (Eds.), Advances in Computing and Data Sciences - 2nd International Conference, ICACDS 2018, Revised Selected Papers (pp. 431-438). (Communications in Computer and Information Science; Vol. 905). Springer Verlag. https://doi.org/10.1007/978-981-13-1810-8_43

Chaudhary, Krista ; Singh, Mayank ; Tarar, Sandhya et al. / Machine learning based adaptive framework for logistic planning in industry 4.0. Advances in Computing and Data Sciences - 2nd International Conference, ICACDS 2018, Revised Selected Papers. editor / Mayank Singh ; Vipin Tyagi ; Tuncer Oren ; P.K. Gupta ; Jan Flusser. Springer Verlag, 2018. pp. 431-438 (Communications in Computer and Information Science).

@inproceedings{7fc74f38976e45e38086462340c4e0ab,

title = "Machine learning based adaptive framework for logistic planning in industry 4.0",

keywords = "Industry 4.0, Logistic planning, Procurement 4.0, Supply chain management",

author = "Krista Chaudhary and Mayank Singh and Sandhya Tarar and Chauhan, {D. K.} and Srivastava, {Viranjay M.}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd.; 2nd International Conference on Advances in Computing and Data Sciences, ICACDS 2018 ; Conference date: 20-04-2018 Through 21-04-2018",

year = "2018",

doi = "10.1007/978-981-13-1810-8_43",

language = "English",

isbn = "9789811318092",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "431--438",

editor = "Mayank Singh and Vipin Tyagi and Tuncer Oren and P.K. Gupta and Jan Flusser",

booktitle = "Advances in Computing and Data Sciences - 2nd International Conference, ICACDS 2018, Revised Selected Papers",

}

Chaudhary, K, Singh, M, Tarar, S, Chauhan, DK & Srivastava, VM 2018, Machine learning based adaptive framework for logistic planning in industry 4.0. in M Singh, V Tyagi, T Oren, PK Gupta & J Flusser (eds), Advances in Computing and Data Sciences - 2nd International Conference, ICACDS 2018, Revised Selected Papers. Communications in Computer and Information Science, vol. 905, Springer Verlag, pp. 431-438, 2nd International Conference on Advances in Computing and Data Sciences, ICACDS 2018, Dehradun, India, 20/04/18. https://doi.org/10.1007/978-981-13-1810-8_43

Machine learning based adaptive framework for logistic planning in industry 4.0. / Chaudhary, Krista; Singh, Mayank; Tarar, Sandhya et al.
Advances in Computing and Data Sciences - 2nd International Conference, ICACDS 2018, Revised Selected Papers. ed. / Mayank Singh; Vipin Tyagi; Tuncer Oren; P.K. Gupta; Jan Flusser. Springer Verlag, 2018. p. 431-438 (Communications in Computer and Information Science; Vol. 905).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Machine learning based adaptive framework for logistic planning in industry 4.0

AU - Chaudhary, Krista

AU - Singh, Mayank

AU - Tarar, Sandhya

AU - Chauhan, D. K.

AU - Srivastava, Viranjay M.

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd.

PY - 2018

Y1 - 2018

KW - Industry 4.0

KW - Logistic planning

KW - Procurement 4.0

KW - Supply chain management

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DO - 10.1007/978-981-13-1810-8_43

M3 - Conference contribution

AN - SCOPUS:85060400602

SN - 9789811318092

T3 - Communications in Computer and Information Science

SP - 431

EP - 438

BT - Advances in Computing and Data Sciences - 2nd International Conference, ICACDS 2018, Revised Selected Papers

A2 - Singh, Mayank

A2 - Tyagi, Vipin

A2 - Oren, Tuncer

A2 - Gupta, P.K.

A2 - Flusser, Jan

PB - Springer Verlag

T2 - 2nd International Conference on Advances in Computing and Data Sciences, ICACDS 2018

Y2 - 20 April 2018 through 21 April 2018

ER -

Chaudhary K, Singh M, Tarar S, Chauhan DK, Srivastava VM. Machine learning based adaptive framework for logistic planning in industry 4.0. In Singh M, Tyagi V, Oren T, Gupta PK, Flusser J, editors, Advances in Computing and Data Sciences - 2nd International Conference, ICACDS 2018, Revised Selected Papers. Springer Verlag. 2018. p. 431-438. (Communications in Computer and Information Science). doi: 10.1007/978-981-13-1810-8_43

Machine learning based adaptive framework for logistic planning in industry 4.0

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