학술논문

A methodology for managing multidisciplinary programs with six sigma approach
Document Type
Conference
Source
2004 IEEE International Engineering Management Conference (IEEE Cat. No.04CH37574) Engineering management Engineering Management Conference, 2004. Proceedings. 2004 IEEE International. 2:785-788 Vol.2 2004
Subject
Engineering Profession
General Topics for Engineers
Six sigma
Risk management
Project management
Technology management
Quality management
Performance analysis
Roads
Quality function deployment
Fasteners
Customer satisfaction
Language
Abstract
Success in program management hinges on the level of clarity, visibility and predictability of the processes followed in the program. For multidisciplinary programs success depends on how well the issues, risks, and dependencies between the different functional areas are identified and addressed as early as possible. The reliability, performance, competitive price, quality, and on-time delivery of the product vis-a-vis the customers' implicit and explicit needs would measure the success of the program. Integration of six sigma techniques bring in the rigor, thoroughness, and visibility to program management and thus provide a competitive edge resulting in improved business outcome. Six sigma is a disciplined methodology which goes beyond statistical tools and defect prevention to emphasize on process improvements, resulting in cost/cycle time reduction and increase in customer satisfaction. Six sigma tools continuously align the product feature with the customer needs across all the activities of the program and thus ensure Hi-Fidelity product development in all the life cycle activities. Honeywell has a long tradition of practicing Six Sigma and has institutionalized six sigma across the corporate, through mandatory training/certification and rigorous implementation. This work proposes a six sigma integrated program management approach based on HTSL's (Honeywell Technology Solution Limited) experience in managing multidisciplinary programs and CMMi level 5 processes.