An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines

Masood Ashraf; Arkadiusz Gola; Faisal Hasan; Ali S. AlArjani

doi:10.1007/978-981-15-3380-8_12

An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines

Masood Ashraf, Arkadiusz Gola, Faisal Hasan, Ali S. AlArjani

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

3 Scopus citations

Abstract

Reconfigurable manufacturing systems (RMSs) are designed to satisfy for the requirements of a part family by amending changes in its hardware and software components rapidly in response to the quick fluctuations in the market demands. In the present work, a key RMS planning aspect has been considered and corresponding methodology and solutions are proposed for solving the problem. A Multiple Part Families Manufacturing (MPFM) problem has been considered for RMS. It involves selection of optimal reconfiguration policy while switching from production of one part family to another. This policy involves the evaluation of optimal sequences to be adopted for MPFM, which are evaluated on the basis of performance measures like number of reconfiguration set-ups involved, total reconfiguration cost and total reconfiguration time, while switching from one RSPFL set-up to another.

Original language	English
Title of host publication	Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings
Editors	Pawel Sitek, Marcin Pietranik, Marek Krótkiewicz, Chutimet Srinilta
Publisher	Springer
Pages	133-144
Number of pages	12
ISBN (Print)	9789811533792
DOIs	https://doi.org/10.1007/978-981-15-3380-8_12
State	Published - 2020
Event	12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020 - Phuket, Thailand Duration: 23 Mar 2020 → 26 Mar 2020

Publication series

Name	Communications in Computer and Information Science
Volume	1178 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020
Country/Territory	Thailand
City	Phuket
Period	23/03/20 → 26/03/20

Keywords

Multiple Part Families Manufacturing
Reconfigurable Manufacturing System
Reconfiguration cost
Reconfiguration Policy
Reconfiguration time
RMS

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-15-3380-8_12

Cite this

Ashraf, M., Gola, A., Hasan, F., & AlArjani, A. S. (2020). An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines. In P. Sitek, M. Pietranik, M. Krótkiewicz, & C. Srinilta (Eds.), Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings (pp. 133-144). (Communications in Computer and Information Science; Vol. 1178 CCIS). Springer. https://doi.org/10.1007/978-981-15-3380-8_12

Ashraf, Masood ; Gola, Arkadiusz ; Hasan, Faisal et al. / An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines. Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings. editor / Pawel Sitek ; Marcin Pietranik ; Marek Krótkiewicz ; Chutimet Srinilta. Springer, 2020. pp. 133-144 (Communications in Computer and Information Science).

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title = "An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines",

abstract = "Reconfigurable manufacturing systems (RMSs) are designed to satisfy for the requirements of a part family by amending changes in its hardware and software components rapidly in response to the quick fluctuations in the market demands. In the present work, a key RMS planning aspect has been considered and corresponding methodology and solutions are proposed for solving the problem. A Multiple Part Families Manufacturing (MPFM) problem has been considered for RMS. It involves selection of optimal reconfiguration policy while switching from production of one part family to another. This policy involves the evaluation of optimal sequences to be adopted for MPFM, which are evaluated on the basis of performance measures like number of reconfiguration set-ups involved, total reconfiguration cost and total reconfiguration time, while switching from one RSPFL set-up to another.",

keywords = "Multiple Part Families Manufacturing, Reconfigurable Manufacturing System, Reconfiguration cost, Reconfiguration Policy, Reconfiguration time, RMS",

author = "Masood Ashraf and Arkadiusz Gola and Faisal Hasan and AlArjani, \{Ali S.\}",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020 ; Conference date: 23-03-2020 Through 26-03-2020",

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language = "English",

isbn = "9789811533792",

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Ashraf, M, Gola, A, Hasan, F & AlArjani, AS 2020, An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines. in P Sitek, M Pietranik, M Krótkiewicz & C Srinilta (eds), Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings. Communications in Computer and Information Science, vol. 1178 CCIS, Springer, pp. 133-144, 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, Phuket, Thailand, 23/03/20. https://doi.org/10.1007/978-981-15-3380-8_12

An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines. / Ashraf, Masood; Gola, Arkadiusz; Hasan, Faisal et al.
Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings. ed. / Pawel Sitek; Marcin Pietranik; Marek Krótkiewicz; Chutimet Srinilta. Springer, 2020. p. 133-144 (Communications in Computer and Information Science; Vol. 1178 CCIS).

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

TY - GEN

T1 - An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines

AU - Ashraf, Masood

AU - Gola, Arkadiusz

AU - Hasan, Faisal

AU - AlArjani, Ali S.

PY - 2020

Y1 - 2020

N2 - Reconfigurable manufacturing systems (RMSs) are designed to satisfy for the requirements of a part family by amending changes in its hardware and software components rapidly in response to the quick fluctuations in the market demands. In the present work, a key RMS planning aspect has been considered and corresponding methodology and solutions are proposed for solving the problem. A Multiple Part Families Manufacturing (MPFM) problem has been considered for RMS. It involves selection of optimal reconfiguration policy while switching from production of one part family to another. This policy involves the evaluation of optimal sequences to be adopted for MPFM, which are evaluated on the basis of performance measures like number of reconfiguration set-ups involved, total reconfiguration cost and total reconfiguration time, while switching from one RSPFL set-up to another.

AB - Reconfigurable manufacturing systems (RMSs) are designed to satisfy for the requirements of a part family by amending changes in its hardware and software components rapidly in response to the quick fluctuations in the market demands. In the present work, a key RMS planning aspect has been considered and corresponding methodology and solutions are proposed for solving the problem. A Multiple Part Families Manufacturing (MPFM) problem has been considered for RMS. It involves selection of optimal reconfiguration policy while switching from production of one part family to another. This policy involves the evaluation of optimal sequences to be adopted for MPFM, which are evaluated on the basis of performance measures like number of reconfiguration set-ups involved, total reconfiguration cost and total reconfiguration time, while switching from one RSPFL set-up to another.

KW - Multiple Part Families Manufacturing

KW - Reconfigurable Manufacturing System

KW - Reconfiguration cost

KW - Reconfiguration Policy

KW - Reconfiguration time

KW - RMS

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M3 - Conference contribution

AN - SCOPUS:85082132243

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T3 - Communications in Computer and Information Science

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BT - Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings

A2 - Sitek, Pawel

A2 - Pietranik, Marcin

A2 - Krótkiewicz, Marek

A2 - Srinilta, Chutimet

PB - Springer

T2 - 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020

Y2 - 23 March 2020 through 26 March 2020

ER -

Ashraf M, Gola A, Hasan F, AlArjani AS. An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines. In Sitek P, Pietranik M, Krótkiewicz M, Srinilta C, editors, Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings. Springer. 2020. p. 133-144. (Communications in Computer and Information Science). doi: 10.1007/978-981-15-3380-8_12

An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines

Abstract

Publication series

Conference

Keywords

UN SDGs

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