Title :
Using mixed integer programming to schedule it change requests
Author :
Zia, Leila ; Diao, Yixin ; Ward, Chris ; Bhattacharya, Kamal
Author_Institution :
Dept. of Manage. Sci. & Eng., Stanford Univ., Stanford, CA
Abstract :
Change management is viewed as one of the most important processes in IT management with the main challenge of scheduling the change requests. That is, given a set of change requests for different parts of an IT system, how one should schedule changes to minimize the costs and risks of service delivery. In this paper, we approach the change request scheduling problem using a simple optimization model and consider both deterministic and stochastic cases. We show that these models can be converted to the Mixed Integer Programming (MIP) framework for which promising solution techniques exist. We conclude the work with an illustrative example as an instance of our model.
Keywords :
integer programming; management of change; scheduling; IT change requests; IT management; IT system; change management; change request scheduling problem; deterministic case; mixed integer programming; optimization model; service delivery; stochastic case; Books; Costs; Engineering management; Environmental management; Job shop scheduling; Libraries; Linear programming; Process control; Scheduling algorithm; Stochastic processes;
Conference_Titel :
Network Operations and Management Symposium, 2008. NOMS 2008. IEEE
Conference_Location :
Salvador, Bahia
Print_ISBN :
978-1-4244-2065-0
Electronic_ISBN :
1542-1201
DOI :
10.1109/NOMS.2008.4575241