Agricultural service equipment and work planning system
The coordinator combines the order with the right equipment, operator and time. Fault or changed field conditions indicate which client works need to be moved.
Customer preferred terms, field condition, weather, technical performance, implements, operators, transport and service risks are planned separately. During peak times, too many commitments are made, work is delayed, and the machinery and staff move between orders inefficiently.
How the solution works
- Get order working conditions
- Checking the full mix of appropriate resources
- Combine the real sequence of works
- Reschedule affected orders as condition changes
- Return actual availability for the next job
Key challenges
- The seasonal orders and technical capacity plan is constantly being adjusted manually
- Maintenance and failure risk not integrated into the order plan
- Operator competencies and job safety are manually managed
Solution capabilities
Resource Eligibility
The compatibility of the done, the operator's authority and the necessary preparation are checked against the work. A free unfit person is not an equivalent alternative.
Running time
Travel, transfer, preparation and work window are included in the promise. The weather forecast is not translated into guaranteed field eligibility.
Technical maintenance
Known service or failure changes availability. The approved technical state of return to work is separated from the preliminary date of completion of repairs.
Affected Customer
Replanning shows a specific promise and the customer's required response. An automatic new calendar date alone does not complete the agreement.
Business context
- The seasonal orders and technical capacity plan is constantly being adjusted manually
- Customer preferred terms, field condition, weather, technical performance, implements, operators, transport and service risks are planned separately. During peak times, too many commitments are made, work is delayed, and the machinery and staff move between orders inefficiently.
- Maintenance and failure risk not integrated into the order plan
- Telematics, operating hours, fault codes, scheduled service, parts and future order load are controlled in different systems. A critical failure occurs in the peak of the season, having to urgently change the schedule or hire a more expensive partner.
- Operator competencies and job safety are manually managed
- Certificates, specific technical experience, plant protection rights, working time, safety briefings and health checks are kept in separate tables. The task may be assigned to the wrong employee, increasing the risk of safety, compliance and quality of service.
- Time promised to the farm evaluates seasonal opportunities
- The customer often orders work for a limited period of weather or soil conditions. Combining equipment, operator and repair readiness allows verification of execution possibilities. In case of disruption, the team can contact affected farms in time to coordinate another plan.
Core features
- Resource Eligibility
- Running time
- Technical maintenance
- Affected Customer
Key integrations
- Sources of orders and specialist requirements
- Working Conditions, Term and Eligibility.
- Sources of maintenance and personnel
- Real availability and state of return to work.
Potential impact (%)
The ranges indicate an illustrative relative change in the metric under the stated assumptions. Results depend on the starting position and actual use of the solution. Percentages for different metrics must not be added together.
Unfulfilled pre-promise
3–16%Decreasing
This illustrative scenario assumes that 15-40% of the capacity metric is affected by allocation and preparation. That share is assumed to fall by 20-40%. Company data is needed to verify both the addressable share and the resulting change.
Counting promises that at the time of admission already lacked a known necessary resource.
Disruption rescheduling work
6–25%Decreasing
This illustrative scenario assumes that 20-50% of waiting caused by missing information or unclear responsibility can be addressed. That share is assumed to fall by 30-50%. Company data is needed to verify both the addressable share and the resulting change.
Measure the minutes of the planner's work to match the appointments affected by a specific disorder.
Conditional calculation scenarios. The assumptions have not been validated against client measurements.
When this solution is relevant
- During the season, multiple customer orders require the same equipment and operators.
- Deadlines for work are promised separately, without consideration of travel, technical readiness and total load.
Project scope and implementation
The plan of work links the equipment, operators, travel time and readiness for work. In case of failure, it is checked which suitable equipment is really free and when it can arrive. For remote consultations that do not require the equipment, these functions do not apply.
Further expansion
- Other regions after travel, actual productivity and resource replacement testing.