A novel modeling approach for solving the cell formation problem

Taras Dmytryshyn; Mohamed Ismail; Ola Rashwan

doi:10.1115/IMECE2018-88128

A novel modeling approach for solving the cell formation problem

Taras Dmytryshyn, Mohamed Ismail, Ola Rashwan

School of Science, Engineering & Technology (Harrisburg)

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

3 Scopus citations

Abstract

This paper presents a new modeling approach called Progressive Modeling (PM) and demonstrates it by solving the Cell Formation Problem (CFP). In this paper, the Progressive Modeling (PM), a component- based optimization technique, is used to solve the cell formation problem (CFP). This novel solution algorithm is utilized to find optimal or near-optimal solutions. A user-friendly Windows application is presented to capture the problem data, demonstrate the solution process, and display the results. A benchmark problem in the literature is solved and presented in this paper. The paper concludes by demonstrating the efficiency of the new modeling approach and its future extension.

Original language	English (US)
Title of host publication	Advanced Manufacturing
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791852019
DOIs	https://doi.org/10.1115/IMECE2018-88128
State	Published - 2018
Event	ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018 - Pittsburgh, United States Duration: Nov 9 2018 → Nov 15 2018

Publication series

Name	ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume	2

Other

Other	ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018
Country/Territory	United States
City	Pittsburgh
Period	11/9/18 → 11/15/18

All Science Journal Classification (ASJC) codes

Mechanical Engineering

Access to Document

10.1115/IMECE2018-88128

Cite this

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title = "A novel modeling approach for solving the cell formation problem",

abstract = "This paper presents a new modeling approach called Progressive Modeling (PM) and demonstrates it by solving the Cell Formation Problem (CFP). In this paper, the Progressive Modeling (PM), a component- based optimization technique, is used to solve the cell formation problem (CFP). This novel solution algorithm is utilized to find optimal or near-optimal solutions. A user-friendly Windows application is presented to capture the problem data, demonstrate the solution process, and display the results. A benchmark problem in the literature is solved and presented in this paper. The paper concludes by demonstrating the efficiency of the new modeling approach and its future extension.",

author = "Taras Dmytryshyn and Mohamed Ismail and Ola Rashwan",

note = "Publisher Copyright: Copyright {\textcopyright} 2018 ASME; ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018 ; Conference date: 09-11-2018 Through 15-11-2018",

year = "2018",

doi = "10.1115/IMECE2018-88128",

language = "English (US)",

series = "ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)",

publisher = "American Society of Mechanical Engineers (ASME)",

booktitle = "Advanced Manufacturing",

}

Dmytryshyn, T, Ismail, M & Rashwan, O 2018, A novel modeling approach for solving the cell formation problem. in Advanced Manufacturing. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), vol. 2, American Society of Mechanical Engineers (ASME), ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018, Pittsburgh, United States, 11/9/18. https://doi.org/10.1115/IMECE2018-88128

A novel modeling approach for solving the cell formation problem. / Dmytryshyn, Taras; Ismail, Mohamed; Rashwan, Ola.
Advanced Manufacturing. American Society of Mechanical Engineers (ASME), 2018. (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); Vol. 2).

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

TY - GEN

T1 - A novel modeling approach for solving the cell formation problem

AU - Dmytryshyn, Taras

AU - Ismail, Mohamed

AU - Rashwan, Ola

PY - 2018

Y1 - 2018

N2 - This paper presents a new modeling approach called Progressive Modeling (PM) and demonstrates it by solving the Cell Formation Problem (CFP). In this paper, the Progressive Modeling (PM), a component- based optimization technique, is used to solve the cell formation problem (CFP). This novel solution algorithm is utilized to find optimal or near-optimal solutions. A user-friendly Windows application is presented to capture the problem data, demonstrate the solution process, and display the results. A benchmark problem in the literature is solved and presented in this paper. The paper concludes by demonstrating the efficiency of the new modeling approach and its future extension.

AB - This paper presents a new modeling approach called Progressive Modeling (PM) and demonstrates it by solving the Cell Formation Problem (CFP). In this paper, the Progressive Modeling (PM), a component- based optimization technique, is used to solve the cell formation problem (CFP). This novel solution algorithm is utilized to find optimal or near-optimal solutions. A user-friendly Windows application is presented to capture the problem data, demonstrate the solution process, and display the results. A benchmark problem in the literature is solved and presented in this paper. The paper concludes by demonstrating the efficiency of the new modeling approach and its future extension.

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DO - 10.1115/IMECE2018-88128

M3 - Conference contribution

AN - SCOPUS:85060400268

T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)

BT - Advanced Manufacturing

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018

Y2 - 9 November 2018 through 15 November 2018

ER -

A novel modeling approach for solving the cell formation problem

Abstract

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All Science Journal Classification (ASJC) codes

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