Cell loading and family scheduling for jobs with individual due dates to minimise maximum tardiness

Süer, Gürsel A.; Ates, Ozan K.; Mese, Emre M.

doi:10.1080/00207543.2014.903343

Cited by 7 publications

(1 citation statement)

References 19 publications

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“…The researchers attempt to find a balance between family splitting and meeting due dates such that the total tardiness is minimized. The and (Süer et al 2014). In this paper, the researchers address the total tardiness objective and also discuss two other variations from the basic problem including common due date and family splitting issues.…”

Section: Fig 1 Manufacturing Cells In the Shoe Plantmentioning

confidence: 99%

Group scheduling in a cellular manufacturing shop to minimise total tardiness and nT: a comparative genetic algorithm and mathematical modelling approach

Eğilmez

Mese²,

Erenay

et al. 2016

IJSOM

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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. His research interests include sustainability assessment of social, environmental, and economic aspects of engineered systems, transportation sustainability & safety, applied operations research and metaheuristic optimization, parametric & nonparametric statistical modeling and dynamic simulation modeling. 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. http://gokhanegilmez.wordpress.com/

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Section: Fig 1 Manufacturing Cells In the Shoe Plantmentioning

confidence: 99%