Telecommunication Technician Scheduling via Loan Graph Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Telecommunication networks face challenges in efficiently managing work demands across different regions, leading to inconsistent distribution of work among network technicians, which can result in inefficiencies and overtime due to inconsistent workloads.
Innovation Solution
A method and system that generate a work plan for network technicians by utilizing a loan graph to select moves between adjacent work centers based on an objective function, such as balancing hours of work or minimizing overtime, through a randomized greedy search algorithm to optimize technician scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network technicians are loaned between regions to balance work demands, then workload distribution is improved, but travel time and complexity increase
Solution Approach 1:
The system performs preliminary analysis of work demands and technician availability before generating loan assignments. By predicting future work demands and pre-planning technician movements, the system minimizes reactive travel and optimizes routing, thereby reducing travel time while maintaining improved workload distribution.
Solution Approach 2:
The technician scheduling system dynamically adjusts loan assignments based on real-time work demand fluctuations, technician location, and travel constraints. This dynamic optimization ensures that technicians are loaned only when necessary and routes are minimized, balancing workload improvement with travel time reduction.
2Productivity
If network technicians are loaned between regions to balance work demands, then workload distribution is improved, but scheduling complexity increases
Solution Approach 1:
The scheduling system divides the network into regional segments with defined work centers and technician pools. By segmenting the problem into manageable regional units with local optimization, the system improves workload distribution within each segment while avoiding the complexity of global re-scheduling, thereby maintaining productivity without excessive complexity.
Solution Approach 2:
The system changes key scheduling parameters such as loan duration, travel distance thresholds, and work center capacity limits to balance workload distribution. By adjusting these parameters based on demand patterns, the system achieves improved productivity while keeping the scheduling framework manageable and not excessively complex.
3Reliability
If technicians must report to default location first before traveling to needed region, then administrative control is improved, but travel time increases
Solution Approach 1:
The system performs preliminary assessment of whether a technician needs to report to their default location before being loaned out. By pre-evaluating the necessity of the default location stop and optimizing the route accordingly, the system maintains administrative control requirements when needed while minimizing unnecessary travel time.
Solution Approach 2:
The scheduling system dynamically determines whether the default location reporting requirement applies to each technician loan based on real-time conditions. This dynamic approach maintains administrative control when required by policy while allowing flexibility to reduce travel time when the default location stop is not strictly necessary, balancing reliability with time efficiency.
Data Source
AI summary
A processing system may obtain a loan graph including a travel cost for network technicians between adjacent work centers of a telecommunication network, each network technician assigned to a work center, and obtain work quantities for each work center for a day, at least a first work center having excess work for network technicians assigned to the first work center. The processing system may select, in accordance with an objective function, moves by a first subset of network technicians comprising moves to adjacent work centers from the work centers to which the first subset is assigned, select in accordance with the objective function, moves by a second subset of network technicians comprising moves to adjacent work centers from work centers to which the second subset is assigned, and generate a work plan for the day for the network technicians in accordance with the moves.