@article{Safaei2009301,
title = "Integrated multi-period cell formation and subcontracting production planning in dynamic cellular manufacturing systems ",
journal = "International Journal of Production Economics ",
volume = "120",
number = "2",
pages = "301 - 314",
year = "2009",
note = "Special Issue on Introduction to Design and Analysis of Production Systems ",
issn = "0925-5273",
doi = "http://dx.doi.org/10.1016/j.ijpe.2008.12.013",
url = "http://www.sciencedirect.com/science/article/pii/S0925527309000073",
author = "Nima Safaei and Reza Tavakkoli-Moghaddam",
keywords = "Multi-period cell formation",
keywords = "Dynamic cellular manufacturing system",
keywords = "Production planning",
keywords = "Reconfiguration",
keywords = "Partial subcontracting "
}

@article{2003,
     jstor_articletype = {research-article},
     title = {Design of Manufacturing Cells in the Presence of Alternative Cell Locations and Material Transporters},
     author = {Logendran, R. and Karim, Y.},
     journal = {The Journal of the Operational Research Society},
     jstor_issuetitle = {},
     volume = {54},
     number = {10},
     jstor_formatteddate = {Oct., 2003},
     pages = {pp. 1059-1075},
     url = {http://www.jstor.org/stable/4101669},
     ISSN = {01605682},
     abstract = {This paper addresses two significant issues in the design of cellular manufacturing (CM) systems: (i) the availability of alternative locations for a cell, and (ii) the use of alternative routes to move part loads between cells when the capacity of the material transporter (MT) employed is limited. In addition, several other important factors in the design of CM systems including machine capacity limitations, batches of part demands, non-consecutive operations of parts, and maximum number of machines assigned to a cell are considered. A nonlinear programming model, comprised of binary and general integer variables, is formulated for the research problem. A higher-level heuristic solution algorithm based upon a concept known as 'tabu search' is presented for solving industry-size problems. Six different versions of the heuristic are developed to investigate the impact of long-term memory and the use of fixed versus variable tabu-list sizes. Explicit method-based techniques are developed to convert the original nonlinear programming model into an equivalent mixed (binary)-integer linear programming model in order to test the efficacy of the proposed solution technique for solving small problem instances. The solutions obtained from the heuristics have average deviation of less than 3% of the optimal solutions, and require less than a minute in comparison with optimizing methods that needed 1-10 h of computation time. A carefully designed statistical experiment is used to compare the performance of the heuristics by solving three different problem structures, ranging from four to 30 parts, and three to nine locations. The experiment shows that as the problem size increases, the tabu-search-based heuristic using fixed tabu list size and long-term memory based on minimal frequency strategy is preferred over the other heuristics.},
     language = {English},
     year = {2003},
     publisher = {Palgrave Macmillan Journals on behalf of the Operational Research Society},
     copyright = {Copyright © 2003 Operational Research Society},
    }

@article{Saeed,
title = "A two-stage model for cell formation problem considering the intercellular movements by automated guided vehicles ",
journal = "Journal of Industrial and Systems Engineering ",
volume = "7",
number = "1",
pages = "43 - 55",
year = "2014",
}
@article{23,
title={Process selection and tool assignment in automated cellular manufacturing using Genetic Algorithms},
year={1998},
issn={0254-5330},
journal={Annals of Operations Research},
volume={77},
number={0},
doi={10.1023/A:1018981529144},
url={http://dx.doi.org/10.1023/A%3A1018981529144},
publisher={Kluwer Academic Publishers},
keywords={cellular manufacturing, cell formation, flexible manufacturing systems (FMS), tool assignment, Genetic Algorithms},
author={Sinriech, David and Meir, Abekasis},
pages={51-78},
language={English}
}

@article{Logendran1997545,
title = "Manufacturing cell formation in the presence of flexible cell locations and material transporters ",
journal = "Computers and Industrial Engineering ",
volume = "33",
number = "3–4",
pages = "545 - 548",
year = "1997",
note = "Selected Papers from the Proceedings of 1996 ICC and amp;IC ",
issn = "0360-8352",
doi = "http://dx.doi.org/10.1016/S0360-8352(97)00189-7",
url = "http://www.sciencedirect.com/science/article/pii/S0360835297001897",
author = "Rasaratnam Logendran and Chang Seong Ko",
keywords = "Cellular Manufacturing",
keywords = "Cell Locations",
keywords = "Automated Guided Vehicles",
keywords = "Tabu Search "
}

@article{doi:10.1080/09537289608930392,
author = { SANG-JAE   SONG  and  KATSUNDO   HITOMI },
title = {Integrating the production planning and cellular layout for flexible cellular manufacturing},
journal = {Production Planning \& Control},
volume = {7},
number = {6},
pages = {585-593},
year = {1996},
doi = {10.1080/09537289608930392},

URL = { 
        http://dx.doi.org/10.1080/09537289608930392
    
},
eprint = { 
        http://dx.doi.org/10.1080/09537289608930392
    
}

}