New mathematical model for problem of dynamic cell formation based on number and average length of intra and intercellular movements

Applied Mathematical Modelling

Volumn 37, Issue 4, 2013, Pages 1884-1896

  Majazi Dalfard, Vahid ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Formation of dynamic cell

Indexed keywords

AVERAGE LENGTH; BRANCH AND CUT; CELL MANUFACTURING; DYNAMIC CELL FORMATION; INTERCELLULAR MOVEMENT; MATERIAL FLOW; NEW MATHEMATICAL MODEL; NON-LINEAR INTEGER PROGRAMMING; NP-HARD;

CELLULAR MANUFACTURING; INTEGER PROGRAMMING; LINEAR PROGRAMMING; SIMULATED ANNEALING;

PROBLEM SOLVING;

EID: 84870254814     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2012.04.034     Document Type: Article

References (17)

1. Rheault M., Drolet J., Abdulnour G. Physically reconfigurable virtual cells: a dynamic model for a highly dynamic environment. Comput. Ind. Eng. 1995, 29:221-225.
2. Marcoux Y., Drolet J., Abdulnour G. Studying the performance of a dynamic cellular manufacturing system. Comput. Ind. Eng. 1997, 33:239-242.
3. Wilhelm W., Chou C., Chang D. Integrating design and planning considerations in cell formation. Ann. Oper. Res. 1998, 77:97-107.
4. Chen M. A mathematical programming model for systems reconfiguration in a dynamic cell formation condition. Ann. Oper. Res. 1998, 77:109-128.
5. Wicks E.M., Reasor R.J. Designing cellular manufacturing systems with dynamic part populations. IIE Trans. 1999, 31:11-20.
6. Balakrishnan J., Cheng C.H. Multi-period planning and uncertainty issues in cellular manufacturing: a review and future directions. Eur. J. Oper. Res. 2007, 117:281-309.
7. A. Mungwattana, Design of Cellular Manufacturing Systems for Dynamic and Uncertain Production Requirements with Presence of Routing Flexibility, Ph.D. thesis, Virginia Polytechnic Institute and State University, Blackburg, VA, 2000.
8. Tavakkoli Moghaddam R., Aryanezhad M.B., Safaei N., Azaron A. Solving a dynamic cell formation problem using metaheuristics. Appl. Math. Comput. 2005, 170:761-780.
9. Saidi Mehrabad M., Safaei N. A new model of dynamic cell formation by a neural approach. Int. J. Adv. Manuf. Technol. 2007, 33:1001-1009.
10. Bajestani A.M., Rabbani M., Rahimi-Vahed A.R., Khoshkhou G.B. A multi-objective scatter search for a dynamic cell formation problem. Comput. Oper. Res. 2009, 36:777-794.
11. Safaei N., Saidi Mehrdad M., Jabal Ameli M.S. A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing systems. Eur. J. Oper. Res. 2008, 185:563-592.
12. Safaei N., Tavakkoli-Moghaddam R. Integrated multi-period cell formation and subcontracting production planning in dynamic cellular manufacturing systems. Int. J. Prod. Econ. 2009, 120:301-319.
13. Defersha F.M., Chen M. A linear programming embedded genetic algorithm for an integrated cell formation and lot sizing considering product quality. Eur. J. Oper. Res. 2008, 187:46-69.
14. Defersha F.M., Chen M. A comprehensive mathematical model for the design of cellular manufacturing systems. Int. J. Prod. Econ. 2006, 103:767-783.
15. Kioon S.A., Bulgak A.A., Bektas T. Integrated cellular manufacturing system design with production planning and dynamic system reconfiguration. Eur. J. Oper. Res. 2009, 192:414-428.
16. Deljoo V., Mirzapour Al-e-Hashem S.M.J., Deljoo F., Aryanezhad M.B. Using genetic algorithm to solve dynamic cell formation problem. Appl. Math. Model. 2010, 34:1078-1092.
17. Herrán A., Defersha F.M., Chen M., Dela Cruz J.M. An integrated multi-period planning of the production and transportation of multiple petroleum products in a single pipeline system. Int. J. Ind. Eng. Comput. 2011, 2:19-44.