![]() They have experience with complex police processes and with InTime,” Warburton says. “What’s unique with us is that our implementation experts are former police officers with 25-plus years of experience in police administration. We argue that time/utility functions and the utility accrual scheduling paradigm provide a more generalized, adaptive, and flexible approach. Implementation is facilitated remotely via Web meeting by law enforcement experts. In addition a one-time implementation fee covers setting up the software to meet the customer’s requirements and training for the users. Each additional module is priced separately and can be added at any time. Annual subscriptions are priced according to number of employees in the agency. InTime is a cloud-based SaaS (software as a service) solution. All of the modules integrate seamlessly with the core scheduling software, according to Expansion modules include shift bidding, training management, court and subpoena, timekeeping, and asset management. They can also add other capabilities as needed. All customers use the core scheduling tool, which provides scheduling, overtime management, extra duty event management, dashboards, and reporting. InTime is designed as a modular solution. That can add up,” Warburton explains, adding, “Agencies that use InTime have told us they have been able to cut their overtime costs by as much as 30%.” “We’ve seen scenarios where they only needed a half day of overtime from an officer when they were assigning a full day. Warburton says it facilitates reducing the total number of overtime hours by helping schedulers see the exact number necessary to meet agency The software also codes overtime spending so that schedulers can track the reason for the extra hours. Its analytic features let agencies know if all the overtime is being assigned to too few officers. InTime also tracks overtime assignments and expenditures. “People are off training, people take bereavement leave, or they get sick, or go on vacation, so being able to deploy changes and communicate them to everyone on staff simultaneously is very important.” “Scheduling can change every day,” Warburton says. When schedules and assignments do change, InTime lets agencies send that information to their employees immediately. These results can be generalized to the case in which there exist multiple classes of customers, but each class satisfies one of the above sets of conditions.Notifications on InTime Mobile alert employees about changes in their schedule. If the service requirement is DFR (Decreasing Failure Rate), on the other hand, it is shown that the policy of giving the highest priority to the customer with the least attained service time, i.e., the so-called LAST (Least Attained Service Time first) is optimal under another set of some appropriate conditions. This implies that any policy without interruptions and preemptions of services is optimal. InTime 1 Scheduling Software Built for Police, Fire & Corrections InTime Scheduling - Apps on Google Play Robust Scheduling for Public Safety - InTime. It is first shown that, if the distribution of customer's service requirement is DMRL (Decreasing Mean Residual Life), the policy of giving the highest priority to the customer with the most attained service time is optimal under a set of some appropriate conditions. Comprehensive Time & Attendance and Employee Scheduling software, time clocks, mobile solutions, & hundreds of integrations for payroll & ERP/HCM systems. The optimal policy for this system minimizes the long-run average expected waiting cost per unit of time over the infinite planning horizon. ![]() ![]() After the total amount of the received services reaches his service requirement, he departs from the network. In each station, a customer can receive service time up to the prescribed station dependent upper bound, but he must proceed to the next station in order to receive further service. We consider optimal scheduling problems in a TSSS (Time Sharing Service System), i.e., a tandem queueing network consisting of multiple service stations, all of which are served by a single server.
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