Abstract: A system and method for optimizing the architecture of a service territory in a service enterprise. A management area has a fixed service call capacity to provide maintenance services to a subscriber base of the service enterprise. The cost of servicing the subscribers within the management area is measured by computing the driving cost and the restocking costs over a range of 1 to n service facilities using probability analysis. The optimal number of service facilities is determined by finding the lowest aggregate cost of servicing the subscribers over a range of 1 to “n” service facilities.

Abstract: A system and method for optimizing the architecture of a service territory in a service enterprise. A management area has a fixed service call capacity to provide maintenance services to a subscriber base of the service enterprise. The cost of servicing the subscribers within the management area is measured by computing the driving cost and the restocking costs over a range of 1 to n service facilities using probability analysis. The optimal number of service facilities is determined by finding the lowest aggregate cost of servicing the subscribers over a range of 1 to “n” service facilities.

Abstract: A method for optimizing the architecture of a quota regime in a metered service enterprise. A quota regime is defined as a service area having a finite service call capacity to provide maintenance services to a subscriber base of the metered service enterprise. The cost of servicing the subscribers within the quota regime is measured by computing the driving cost and the restocking costs associated with dividing the service area into management areas each having an allocation of the finite service call capacity. The optimal number of management areas is determined by finding the lowest aggregate cost of servicing the subscribers over a range of 1 to “n” service areas.