Stochastic Capacitated Cellular Manufacturing System Design with Hybrid Similarity Coefficient

Eğilmez, Gökhan; Süer, Gürsel A.; Ozguner, Orhan

doi:10.5772/37143

“…In another recent work, Erenay et al (2015) investigated alternative layered CMSs' performances with simulation models considering average flow time and WIP. Stochastic GA models were also used for larger problem sizes for stochastic cell formation problems in Egilmez et al (2011Egilmez et al ( , 2012aEgilmez et al ( , 2012b and Egilmez (2012). Simulation models were developed in another study where the focus was machine reconfiguration at fixed periods to handle uncertain demand for the products in a dynamic CMS (Renna and Ambrico, 2015).…”

Section: Cell Formation and Simulationmentioning

confidence: 99%

Hybrid cellular manufacturing system design with cellularisation ratio: an integrated mixed integer nonlinear programming and discrete event simulation approach

Eğilmez

¹

,

Erenay

²

,

Süer

³

2019

IJSOM

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This study investigates hybrid cellular manufacturing system design where products with highly similar process routes are formed as manufacturing cells, and products with dissimilar routes are produced in a process layout. A cell similarity threshold, cellularisation ratio (C-ratio), is proposed for product assignment to cells and process layout, and integrated into a mathematical modelling-based cell formation approach. The cell formation phase is carried out with the proposed mathematical model. Several case problems are tested, and selected cases are also studied with a newly developed simulation model where manufacturing system performance is also evaluated along with the proposed hybrid cellular manufacturing design alternatives. Results indicated that considering a C-ratio during cell formation can provide higher cell similarity thus better cell formation. The increase in the coverage levels resulted in higher number of cells formed. The proposed approach can be significantly beneficial for manufacturing design decisions where product mix and process complexity are high, and for a hybrid layout that consists of cellular plus process layouts could be implemented.

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“…In another recent work, Erenay et al (2015) investigated alternative layered CMSs' performances with simulation models considering average flow time and WIP. Stochastic GA models were also used for larger problem sizes for stochastic cell formation problems in Egilmez et al (2011Egilmez et al ( , 2012aEgilmez et al ( , 2012b and Egilmez (2012). Simulation models were developed in another study where the focus was machine reconfiguration at fixed periods to handle uncertain demand for the products in a dynamic CMS (Renna and Ambrico, 2015).…”

Section: Cell Formation and Simulationmentioning

confidence: 99%

Hybrid cellular manufacturing system design with cellularisation ratio: an integrated mixed integer nonlinear programming and discrete event simulation approach

Eğilmez

¹

,

Erenay

²

,

Süer

³

2019

IJSOM

0

View full text Add to dashboard Cite

This study investigates hybrid cellular manufacturing system design where products with highly similar process routes are formed as manufacturing cells, and products with dissimilar routes are produced in a process layout. A cell similarity threshold, cellularisation ratio (C-ratio), is proposed for product assignment to cells and process layout, and integrated into a mathematical modelling-based cell formation approach. The cell formation phase is carried out with the proposed mathematical model. Several case problems are tested, and selected cases are also studied with a newly developed simulation model where manufacturing system performance is also evaluated along with the proposed hybrid cellular manufacturing design alternatives. Results indicated that considering a C-ratio during cell formation can provide higher cell similarity thus better cell formation. The increase in the coverage levels resulted in higher number of cells formed. The proposed approach can be significantly beneficial for manufacturing design decisions where product mix and process complexity are high, and for a hybrid layout that consists of cellular plus process layouts could be implemented.

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“…Group Technology and Cellular Manufacturing have been important paradigms in the last quarter century of manufacturing design, planning and operation efforts worldwide. Group Technology (GT) is an approach used to identify products or parts with either similar design characteristics or similar manufacturing process routes and group them into product (part) families so as to increase the overall process similarity in manufacturing cells (Egilmez et al, 2011;Egilmez and Süer, 2013). In this regard, cellular manufacturing (CM) has been developed as a new manufacturing philosophy to deal with higher product variety and mid to low demand volume and successfully implemented worldwide as an application of GT philosophy to produce high variety of products more efficiently based on single unit flow rule.…”

Section: Introductionmentioning

confidence: 99%

Multi-period cell loading and job sequencing in a cellular manufacturing system

Eğilmez

¹

,

Süer

²

2015

IJAOM

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Author Bios: Gokhan Egilmez serves as an assistant professor of Industrial and Manufacturing Engineering at North Dakota State University. He also worked as postdoctoral research associate in the dept. of Civil, Environmental and Construction Engineering at University of Central Florida prior to joining department of IME at NDSU. He obtained a doctorate degree in Mechanical and Systems Engineering and two master degrees in Industrial and Systems Engineering and Civil Engineering at Ohio University between 2007 and 2012. Prior to his higher education, in the United States, he received his BS in Industrial Engineering at Istanbul Technical University, Turkey in 2007. Gokhan has various peer-reviewed research articles, book chapter and conference proceedings related to sustainable development, manufacturing system design & control, supply chain management, transportation safety and predictive modeling & machine learning.

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Stochastic Capacitated Cellular Manufacturing System Design with Hybrid Similarity Coefficient

Cited by 6 publications

References 28 publications

Hybrid cellular manufacturing system design with cellularisation ratio: an integrated mixed integer nonlinear programming and discrete event simulation approach

Hybrid cellular manufacturing system design with cellularisation ratio: an integrated mixed integer nonlinear programming and discrete event simulation approach

Hybrid cellular manufacturing system design with cellularisation ratio: an integrated mixed integer nonlinear programming and discrete event simulation approach

Multi-period cell loading and job sequencing in a cellular manufacturing system

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