Equitable Shift Rotation and Assignment Mechanisms for Contact Center Agents
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Solution Overview
Problem
Contact centers face challenges in scheduling agents equitably, particularly in accommodating preferences and handling changes such as absences or vacations, which often require manual adjustments and can be time-consuming for administrators.
Innovation Solution
An automated system that uses a point allocation scheme to assign agents to rotating shifts, allowing for equitable distribution and easy modification of schedules, with cycles and roster templates associated with specific calendar days to facilitate repetitive and periodic schedules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual scheduling methods are used to accommodate agent preferences and handle changes, then scheduling flexibility and agent satisfaction may improve, but administrative time and effort increase significantly
Solution Approach 1:
The system allows agents to self-manage their schedules by viewing available shifts, selecting preferred shifts, and requesting changes through an automated interface. This self-service approach reduces administrative burden while maintaining scheduling flexibility, as agents can make their own scheduling decisions within system-defined constraints rather than requiring manual administrator intervention for each preference or change request.
Solution Approach 2:
The scheduling system dynamically adjusts shift assignments based on changing conditions such as agent availability, operational requirements, and preference updates. When changes occur (e.g., agent absences, new preferences), the system automatically recalculates and redistributes shifts rather than requiring complete manual rescheduling, thereby reducing administrative time while preserving flexibility.
2Productivity
If automated scheduling systems are implemented to reduce administrative time, then efficiency improves, but the ability to equitably accommodate agent preferences and handle changes may deteriorate
Solution Approach 1:
The system incorporates feedback mechanisms where agent preferences, satisfaction levels, and change requests are continuously collected and fed back into the scheduling algorithm. This feedback loop enables the automated system to learn from and adapt to agent needs, ensuring equitable treatment while maintaining efficiency. The system adjusts future shift assignments based on historical preference data and change patterns, balancing automation with fairness.
Solution Approach 2:
The scheduling algorithm dynamically changes parameters such as shift assignments, agent availability windows, and preference weights based on operational requirements and agent feedback. By adjusting these parameters automatically, the system maintains high scheduling efficiency while adapting to changing conditions and ensuring equitable outcomes without requiring manual intervention for each adjustment.
3Ease of operation
If rotating shift schedules are established to distribute work equitably among agents, then fairness improves, but the complexity of managing changes and exceptions increases
Solution Approach 1:
The rotating shift schedule is segmented into standardized cycles and templates that automatically repeat across time periods. By dividing the scheduling problem into discrete, reusable units (cycles, templates, shift patterns), the system maintains fairness through systematic rotation while reducing management complexity. Changes and exceptions are handled at the individual shift or agent level within the broader cyclic framework, rather than requiring complete schedule redesign.
Solution Approach 2:
The system pre-establishes rotating shift patterns, cycles, and templates in advance, defining the equitable distribution framework before operational needs arise. This preliminary structuring of fair scheduling patterns reduces the complexity of managing changes later, as the system only needs to select and apply pre-defined equitable patterns rather than creating fair schedules from scratch each time changes occur.
4Loss of information
If comprehensive tracking of agent preferences and schedule changes is implemented, then equity and transparency improve, but data processing requirements and system complexity increase
Solution Approach 1:
The system uses templates and cyclic patterns as reusable copies of scheduling frameworks that can be applied repeatedly across different time periods and agent groups. Instead of creating unique schedules for each scenario, the system copies and adapts standardized patterns, reducing data processing requirements while maintaining comprehensive tracking of preferences and changes through the template instantiation process.
Data Source
AI summary
Systems and methods are provided for facilitating equitable assignment of rotating shifts to agents in a contact center. In one embodiment, points are allocated to agents indicating their frequency of receiving undesirable shift assignments. Based on the previously allocated points, future undesirable shifts are assigned to agents. The point allocation scheme accommodates various exceptions scheduling periodic rotating shifts, such as skipping assignment of an agent from an upcoming undesirable shift, agents leaving, swapping a shift, and agents being added. In another embodiments, agents are assigned to rotating shifts using constructs of a cycle and a rotation template, which facilitates assigning agents to a work schedule with a calendar in a repetitious manner, and where certain shifts are non-rotational in nature and other shifts are rotational in nature.