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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ramakrishnan, S. Tsai, P.-F. Drayer, C.M. Srihari, K. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Syst. Sci. & Ind. Eng., Binghamton Univ., Binghamton, NY, USA (Ramakrishnan, S.; Tsai, P.-F.; Srihari, K.) || Integrated Supply Chain, IBM Corp., Poughkeepsie, NY, USA (Drayer, C.M.) |
| Abstract | This research presents an integrated simulation modeling-design for six sigma (DFSS) framework to study the design and process issues in a server manufacturing environment. The server assembly process is characterized by long cycle times, high fall-out rates and extremely complex assembly operations. To ensure on-time customer delivery, these enterprises adopt a make-to-plan and build-to-order philosophy. However, this model is extremely complex, resulting in wastes and inefficiencies in the associated processes. Lean and six sigma approaches have been successful in improving performance by eliminating waste in the design and operational processes. In this study, an integrated simulation modeling - DFSS framework is proposed to (i) address effects of variation, (ii) assess interactions effects between various sub-systems, and (iii) study proposed process (or design) changes, while performing ¿what-if¿ analysis. This framework was then used to identify opportunities for improving the operational and design issues in a server manufacturing environment. |
| Starting Page | 1904 |
| Ending Page | 1912 |
| File Size | 674980 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781424427079 |
| DOI | 10.1109/WSC.2008.4736282 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Six sigma Virtual manufacturing Assembly Manufacturing processes Costs Product design Process design Testing Production Quality function deployment |
| Content Type | Text |
| Resource Type | Article |
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