%0 Conference Paper %1 kang2006design %A Kang, Keebom %A Doerr, Kenneth H. %A Sanchez, Susan M. %B Proceedings of the 38th Conference on Winter Simulation %D 2006 %I Winter Simulation Conference %K a %P 1332--1339 %T A Design of Experiments Approach to Readiness Risk Analysis %U http://dl.acm.org/citation.cfm?id=1218112.1218356 %X We develop a simulation model to aid in identifying and evaluating promising alternatives to achieve improvements in weapon system-level availability when services for system components are outsourced. Two outcomes are valued: improvements in average operational availability for the weapon system, and reductions in the probability that operational availability of the weapon system falls below a given planning threshold (readiness risk). In practice, these outcomes must be obtained through performance-based agreements with logistics providers. The size of the state space, and the non-linear and stochastic nature of the outcomes, precludes the use of optimization approaches. Instead, we use designed experiments to evaluate simulation scenarios in an intelligent way. This is an efficient approach that enables us to assess average readiness and readiness risk outcomes of the alternatives, as well as to identify the components and logistics factors with the greatest impact on operational availability. %@ 1-4244-0501-7

@inproceedings{kang2006design, abstract = {We develop a simulation model to aid in identifying and evaluating promising alternatives to achieve improvements in weapon system-level availability when services for system components are outsourced. Two outcomes are valued: improvements in average operational availability for the weapon system, and reductions in the probability that operational availability of the weapon system falls below a given planning threshold (readiness risk). In practice, these outcomes must be obtained through performance-based agreements with logistics providers. The size of the state space, and the non-linear and stochastic nature of the outcomes, precludes the use of optimization approaches. Instead, we use designed experiments to evaluate simulation scenarios in an intelligent way. This is an efficient approach that enables us to assess average readiness and readiness risk outcomes of the alternatives, as well as to identify the components and logistics factors with the greatest impact on operational availability.}, acmid = {1218356}, added-at = {2014-07-31T10:33:14.000+0200}, author = {Kang, Keebom and Doerr, Kenneth H. and Sanchez, Susan M.}, biburl = {https://www.bibsonomy.org/bibtex/24bcbe9fd915b989d3329b626782bdaf4/avail_map_stud}, booktitle = {Proceedings of the 38th Conference on Winter Simulation}, description = {A design of experiments approach to readiness risk analysis}, interhash = {aaccb6a680ffe216db2de6d803d73f8f}, intrahash = {4bcbe9fd915b989d3329b626782bdaf4}, isbn = {1-4244-0501-7}, keywords = {a}, location = {Monterey, California}, numpages = {8}, pages = {1332--1339}, publisher = {Winter Simulation Conference}, series = {WSC '06}, timestamp = {2014-07-31T10:33:33.000+0200}, title = {A Design of Experiments Approach to Readiness Risk Analysis}, url = {http://dl.acm.org/citation.cfm?id=1218112.1218356}, year = 2006 }