160 likes | 239 Views
Explore my journey at IBM's Ken S. Li Dept. of Math, focusing on service processes, statistical analysis, RFS process, and unique IBM@AXP team dynamics. Dive into the history and business of IBM along with mathematical problem-solving. 8 Relevant
E N D
My Experience at IBM Ken S. Li Dept. of Math
IBM at AXP • One of IBM’s all-time biggest IT service contracts valued at more than $4 billion • More than 2000 IT professionals worked in the IBM@AXP team • Delivery Team (located in Phoenix, Albert Kuhn’s Team) is under Service Delivery Center-West (located Boulder, Colo.) • Manager Team is located in AXP’s World Financial Center (located in NYC) • IBM@AXP team is housed in 23 countries
Interesting Acronyms • OID, OIM, RFS, PCC, EIS, ESIM, LOA, BAU, PCR, JAPA
The Meetings • Weekly staff meetings (Albert Kuhn, Art Hoffman, Joseph Correnti) • In person, Tele Conferencing, Video Conferencing • Ping, Who is just joined?
Communications • Lotus Notes system • Email is over used • Calendar events • Same time
Working Environment • Small cubical, small office • Flexible working schedule • Travel to work • Home office
My Work • Data Mining from Web Tools • Study of Metrics for service processes • Forecasting of incoming volume • Forecasting of outgoing volume • Calculation of Resource requirements • Using statistical analysis to redefine cycle time target for RFS process
The RFS Process • The RFS process consists of Initialization, Request Confirmation, Solution, Quality Assurance, Waiting for Customer and other components • Types of RFS’s: Complex, T & M, Incremental, Small • BAU Throughput, BAU Queue Size, Backlog • Target cycle time for various RFS’s
Mathematics Problems • Determine distribution for service time • Determine the parameters of the distributions • Relation between the sum distribution and the individual distributions • Capacity and availability • Optimization of resourcing
The weather, the living condition • Hot • Dry • No Grasses • Forest has no trees • Not cheap, not expensive, big malls