System parameter selection with information axiom for the new product introduction to the hybrid manufacturing systems under dual-resource constraint

International Journal of Production Research

Volumn 50, Issue 7, 2012, Pages 1825-1839

  Ertay, Tijen ^a   Satoǧlu, Sule Itir ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Axiomatic Design (AD); cellular manufacturing system; hybrid manufacturing system; Information Axiom; new part introduction; simulation modelling

Indexed keywords

AXIOMATIC DESIGN; CURRENT CAPACITY; CUSTOMER EXPECTATION; HYBRID MANUFACTURING SYSTEMS; INFORMATION AXIOM; INFORMATION CONTENTS; LOT SIZE; NEW PART INTRODUCTION; NEW PRODUCT INTRODUCTIONS; OPERATIONAL LEVEL; PARAMETER LEVELS; PARAMETER SELECTION; PERFORMANCE METRICS; PRODUCTION SYSTEM; SIMULATION METHODOLOGY; SIMULATION MODEL; SIMULATION TECHNIQUE;

CELLULAR MANUFACTURING; COMPUTER SIMULATION; DESIGN; MANUFACTURE;

INDUSTRIAL APPLICATIONS;

EID: 84861378098     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2011.560205     Document Type: Article

References (22)

1. Akturk, M.S. and Yayla, H.M., 2006. Management of product variety in cellular manufacturing systems. International Journal of Flexible Manufacturing Systems, 17, 93-117.
2. Babic, B., 1999. Axiomatic design of flexible manufacturing systems. International Journal of Production Research, 37 (5), 1159-1173.
3. Bhandwale, A. and Kesavadas, T., 2008. A methodology to incorporate product mix variations in cellular manufacturing. Journal of Intelligent Manufacturing, 19, 71-85.
4. De Meyer, A., et al., 1989. Flexibility: the next competitive battle manufacturing futures survey. Strategic Management Journal, 10, 135-144.
5. Djassemi, M., 2005. A simulation analysis of factors influencing the flexibility of cellular manufacturing. International Journal of Production Research, 43 (10), 2101-2111.
6. Ertay, T. and Ruan, D., 2005. Data envelopment analysis based decision model for optimal operator allocation in CMS. European Journal of Operational Research, 164 (3), 800-810.
7. Ertay, T., Ruan, D., and Tuzkaya, U.R., 2006. Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. Information Sciences, 176 (3), 237-262.
8. Frey, D.D., Jahangir, E., and Engelhardt, F., 2000. Computing information content of decoupled designs. Research in Engineering Design, 12, 90-102.
9. Garbie, I.H., Parsei, H.R., and Leep, H.R., 2005. Introducing new parts into existing cellular manufacturing systems based on a novel similarity coefficient. International Journal of Production Research, 43 (5), 1007-1037.
10. Jensen, J.B., 2000. The impact of resource flexibility and staffing decisions on cellular and departmental performance. European Journal of Operational Research, 127, 279-296.
11. Kulak, O. and Kahraman, C., 2005. Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach. International Journal of Production Economics, 95, 415-424.
12. Kurtoglu, A., 2004. Flexibility analysis of two assembly lines. Robotics and Computer Integrated Manufacturing, 20, 247-253.
13. Miltenburg, J., 2001. One-piece flow manufacturing on U-shaped production lines: a tutorial. IEE Transactions, 33 (4), 303-321.
14. Morris, J.S. and Tersine, R.J., 1994. A simulation comparison of process and cellular layouts in a dual resource constrained environment. Computers and Industrial Engineering, 26 (4), 733-741.
15. Romero, C. and Rehman, T., 2003. Multiple criteria analysis for agricultural decisions. 2nd ed. Amsterdam: Elsevier.
16. Satoǧlu, S.I., Durmusoǧlu, M.B., and Ertay, T.A., 2010. A mathematical model and a heuristic approach for design of the hybrid manufacturing systems to facilitate one-piece flow. International Journal of Production Research, 48 (17), 5195-5220.
17. Shambu, G. and Suresh, N.C., 2000. Performance of hybrid cellular manufacturing systems: a computer simulation investigation. European Journal of Operational Research, 120, 436-458.
18. Suh, N.P., 1990. The principles of design. New York: Oxford University Press.
19. Suh, N.P., 2001. Axiomatic design: advances and applications. New York: Oxford University Press.
20. Suresh, N.C. and Slomp, J., 2005. A multi-objective procedure for labor assignments and grouping in capacitated cell formation problems. International Journal of Production Research, 39 (18), 4103-4131.
21. Vincke, P., 1992. Multicriteria decision-aid. New York: John Wiley & Sons.
22. Wicks, E.M. and Reasor, R.J., 1999. Designing cellular manufacturing systems with dynamic part populations. IIE Transactions, 31, 11-20.