Use of six sigma to optimize cordis sales administration and order and revenue management process
Proceedings of the 33nd conference on Winter simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Simulation and optimization as effective DFSS tools
WSC '05 Proceedings of the 37th conference on Winter simulation
Lean sigma and simulation, so what's the correlation?: V2
WSC '05 Proceedings of the 37th conference on Winter simulation
Simulation and gaming as a support tool for lean manufacturing systems: a case example from industry
WSC '05 Proceedings of the 37th conference on Winter simulation
Digital factory: simulation enhancing the product and production engineering process
Proceedings of the 38th conference on Winter simulation
Proceedings of the 38th conference on Winter simulation
Towards a framework for healthcare simulation
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Reflective simulation for on-line workload planning and control
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
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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.