Hybrid Location Scheduling Algorithm for Coverage and Preferences
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Solution Overview
Problem
The hybrid work model poses challenges for office schedulers as manually determining employee work locations between remote and office settings is time-consuming and prone to errors, failing to balance employee preferences with business requirements for minimum coverage.
Innovation Solution
A location scheduling algorithm embedded in the scheduling process scores agents based on optimization factors, determining a weighted aggregate value to prioritize assignments, balancing employee preferences with enterprise needs for equitable location assignments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual scheduling is used to determine employee work locations, then flexibility in accommodating employee preferences is improved, but time consumption and error potential increase
Solution Approach 1:
The system enables employees to self-select their preferred work locations through an automated scheduling interface. Employees input their preferences and the system automatically processes assignments based on predefined criteria, eliminating the need for manual scheduler intervention while maintaining flexibility in accommodating individual preferences.
Solution Approach 2:
The manual mechanical scheduling process is replaced with an automated computer-based system that uses algorithms to determine work location assignments. The system processes employee preferences and business requirements through electronic computation, replacing manual calculation and decision-making with automated mechanical processes.
2Adaptability or versatility
If manual scheduling is used to coordinate employee preferences with business requirements, then customization of schedules is improved, but reliability and accuracy of minimum coverage assurance deteriorate
Solution Approach 1:
The system incorporates feedback mechanisms where employee preferences are input into the scheduling system, which then processes these inputs against business requirements. The system provides feedback by generating schedules that automatically ensure minimum coverage requirements are met while accommodating employee preferences, creating a closed-loop verification process.
Solution Approach 2:
Manual verification of minimum coverage requirements is replaced with automated computer-based verification. The system uses electronic calculations and logic checks to ensure that scheduled assignments meet all business requirements for minimum coverage, eliminating human error in verification while maintaining customized schedule arrangements.
3Productivity
If automated location scheduling algorithm is implemented, then scheduling speed and efficiency are improved, but complexity of the scheduling system increases
Solution Approach 1:
The scheduling system is segmented into distinct functional modules: employee preference input module, business requirement definition module, algorithm processing module, and schedule generation module. This segmentation allows each component to perform its specific function independently, making the overall complex system more manageable and easier to implement while maintaining high scheduling speed.
Data Source
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AI summary
Aspects of the present disclosure relate to generating a hybrid schedule that accommodates employees working from a remote location and from in the office. The hybrid schedule may be designed to coordinate employee preferences for work location with the business schedulers in-office personnel requirements among other factors. The resulting hybrid schedule may include employee work location as an output which may be viewed and edited by the employee after the schedule is created. Thus, the hybrid scheduling system improves the traditional scheduling process by reducing the need for manual scheduling oversight, enabling employees to independently enter their preferences into the system, and maximizing the benefit of the hybrid workplace model for the employees.