Abstract
The ever-rising competition forces the modern organisations to provide variety of products and services that would suit individual customers within a very short period. The organisations which are able to meet this competitive strategy are said to have progressed towards agile manufacturing (AM). Modern researchers are striving to evolve enablers that would help the traditional manufacturing organisations to march towards AM goals. In this direction, this paper points out that the synergic power of two approaches, namely design of experiments (DOE) and computer-aided design (CAD), are inadequately exploited by both researchers and practitioners to achieve AM. In this context, the terminology computer-aided DOE (CADOE) is proposed. An implementation study is presented which revealed that CADOE would facilitate time compression and enhance accuracy, which are the major enablers of achieving AM.
Similar content being viewed by others
References
Agrawal RK, Hurriyet H (2004) The advent of manufacturing technology and its implications for the development of the value chain. Int J Phys Distrib Log Manage 34:319–336 doi:10.1108/09600030410533619
Duguay CR, Landry S, Pasin F (1997) From mass production to flexible/agile production. Int J Oper Prod Manage 17:1183–1195 doi:10.1108/01443579710182936
Worley JM, Doolen TL (2006) The role of communication and management support in a lean manufacturing implementation. Manage Decis 44:228–245 doi:10.1108/00251740610650210
Sullivan WG, McDonald TN, Van Aken EM (2002) Equipment replacement decisions and lean manufacturing. Robot Comput-Int Manuf 18:255–265 doi:10.1016/S0736-5845(02)00016-9
Sarkis J (2001) Benchmarking for agility. Benchmarking Int J 8:88–107
Meredith S, Francis D (2000) Journey towards agility: the agile wheel explored. TQM Mag 12:137–143 doi:10.1108/09544780010318398
Brown S, Bessant J (2003) The manufacturing strategy-capabilities links in mass customisation and agile manufacturing—an exploratory study. Int J Oper Prod Manage 23:707–730 doi:10.1108/01443570310481522
Vazquez-Bustelo D, Avella L (2006) Agile manufacturing: industrial case studies in Spain. Technovation 26:1147–1161 doi:10.1016/j.technovation.2005.11.006
Yusuf YY, Sarhadi M, Gunasekaran A (1999) Agile manufacturing: the drivers, concepts and attributes. Int J Prod Econ 62:33–43 doi:10.1016/S0925-5273(98)00219-9
van Assen MF (2000) Agile-based competence management: the relation between agile manufacturing and time-based competence management. Int J Agile Manage Syst 2:142–155 doi:10.1108/14654650010337168
Simchi-Levi D, Kaminsky P, Simchi-Levi E (2005) Designing and managing the supply chain-concepts, strategies and case studies. Tata McGraw-Hill, New Delhi
Cho H, Jung M, Kim M (1996) Enabling techniques of agile manufacturing and its related activities in Korea. Comput Ind Eng 30:323–334 doi:10.1016/0360-8352(96)00001-0
Antony J (2001) Improving the manufacturing process quality using design of experiments: a case study. Int J Oper Prod Manage 21:812–822 doi:10.1108/01443570110390499
Li CC, Sheu TS, Wang YR (1997) Some thoughts on the evolution of quality engineering. Ind Manage Data Syst 97:153–157 doi:10.1108/02635579710173239
Foster ST Jr, Gallup L (2002) On functional differences and quality understanding. Benchmarking Int J 9:86–102
Rogers JS, Farrington PA, Schroer BJ, Hubbard RG (1994) Automated process planning system for turned parts. Int Manuf Syst 5:41–47 doi:10.1108/09576069410069530
Lin YJ, Uhler A (2002) Shortening the design for assemble process time for torque converter development. Assembly Autom 22:248–259 doi:10.1108/01445150210436464
Jin-Hai L, Anderson AR, Harrison RT (2003) The evolution of agile manufacturing. Bus Process Manage J 9:170–189 doi:10.1108/14637150310468380
Dowlatshahi S, Cao Q (2006) The relationships among virtual enterprise, information technology, and business performance in agile manufacturing: an industry perspective. Eur J Oper Res 174:835–860 doi:10.1016/j.ejor.2005.02.074
Vokurka RJ, Fliedner G (1998) The journey toward agility. Ind Manage Data Syst 98:165–171 doi:10.1108/02635579810219336
Fabricius F (1994) A seven step procedure for design for manufacture. World Class Des Manuf 1:23–30 doi:10.1108/09642369210054243
Juran JM, Gryna FM (1995) Quality planning and analysis. Tata McGraw Hill, India
Borissova A, Fairweather M, Goltz GE (2006) Combinatorial process and plant design for agile manufacture. Res Eng Des 17:1–12 doi:10.1007/s00163-006-0013-7
Lee GH (1998) Design of components and manufacturing systems for agile manufacturing. Int J Prod Res 36:1023–1044 doi:10.1080/002075498193507
Devadasan SR, Goshteeswaran S, Gokulachandran J (2005) Design for quality in agile manufacturing environment through modified orthogonal array-based experimentation. J Manuf Tech Manage 16:576–597 doi:10.1108/17410380510609456
Shoemaker J (2006) Moldflow design guide—a resource for plastics engineers. Hanser, USA
Flynn BB, Schroeder RG, Flynn EJ, Sakakibara S, Bates KA (1997) World-class manufacturing project: overview and selected results. Int J Oper Prod Manage 17:671–685 doi:10.1108/01443579710175592
Kumar A, Motwani J (1995) A methodology for assessing time-based competitive advantage of manufacturing firms. Int J Oper Prod Manage 15:36–53 doi:10.1108/01443579510080409
Lin C-T, Chiu H, Tseng Y-H (2006) Agility evaluation using fuzzy logic. Int J Prod Econ 101:353–368 doi:10.1016/j.ijpe.2005.01.011
Dowlatshahi S (2004) An application of design of experiments for optimization of plastic injection molding processes. J Manuf Tech Manage 15:445–454 doi:10.1108/17410380410547852
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Vinodh, S., Sundararaj, G., Devadasan, S.R. et al. Computer-aided design of experiments: an enabler of agile manufacturing. Int J Adv Manuf Technol 44, 940–954 (2009). https://doi.org/10.1007/s00170-008-1903-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-008-1903-9