Token Scheduling Controller for Business Process Simulation
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Solution Overview
Problem
Current business process simulation engines rely on simple timetables for token arrival, which do not accurately represent realistic business scenarios that require token arrivals based on recurring time calendars with distinct distributions, placing a burden on users to manually specify constant point-in-times and token quantities.
Innovation Solution
A system and method for scheduling token arrival in a business process simulation using a recurring time calendar, incorporating a frequency module, duration module, exemption module, and timer module, allowing users to define token arrival frequencies, durations, exemptions, and distributions, with a token scheduling controller processing these inputs to generate a calendar-based token arrival schedule.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a simple timetable is used for token arrival scheduling, then the system is easy to operate, but the simulation accuracy deteriorates because it cannot represent realistic business scenarios with recurring time calendars and distinct distributions
Solution Approach 1:
The patent segments the token scheduling system into multiple functional modules: a calendar module that defines recurring time intervals, a distribution module that specifies token arrival patterns for each interval, and a scheduling module that integrates these inputs. This segmentation allows the system to handle complex recurring calendar scenarios while maintaining operational simplicity through modular configuration.
Solution Approach 2:
The patent introduces dynamic token scheduling where the arrival rate and distribution of tokens can vary across different recurring time intervals. Instead of a static timetable, the system dynamically adjusts token generation based on calendar-based patterns and statistical distributions, enabling realistic simulation of business scenarios with varying demand throughout the day or week.
2Ease of manufacture
If users manually specify constant point-in-times and token quantities, then the system is simple to implement, but the adaptability deteriorates because it cannot handle recurring time calendars with distinct distributions
Solution Approach 1:
The patent creates a universal token scheduling framework that can handle multiple types of arrival patterns through a single integrated system. The distribution module accepts various statistical distributions (normal, uniform, exponential, etc.) and the calendar module supports different recurring patterns, making the system adaptable to diverse business scenarios without requiring separate implementation approaches.
Solution Approach 2:
The patent enables flexible adaptation by allowing users to define token arrival parameters (distribution types, mean, standard deviation, interval patterns) that can be changed to match different business scenarios. The system transforms static constant values into dynamic parameters that can be adjusted to represent various recurring calendar patterns and distribution characteristics.
3Measurement precision
If a recurring time calendar with distributions is implemented, then the simulation accuracy improves, but the device complexity increases due to multiple modules and configuration parameters
Solution Approach 1:
The patent merges the calendar definition, distribution specification, and token scheduling functions into an integrated system. The calendar module and distribution module work together as a unified scheduling mechanism, where the calendar defines time intervals and the distribution module defines token patterns for each interval, eliminating the need for separate complex configurations.
Solution Approach 2:
The system automatically generates token schedules based on the calendar and distribution parameters provided by the user. Once the recurring calendar patterns and distribution characteristics are defined, the scheduling module autonomously calculates and generates the token arrival schedule without requiring manual intervention for each token, reducing operational complexity despite the enhanced functionality.
Data Source
AI summary
A business process simulation system for scheduling token arrival in a business process simulation is provided. The system includes a frequency module for receiving user input defining a frequency of token arrival; a duration module for receiving user input defining at least one repeatable valid duration of availability to receive tokens; an exemption module for receiving user input defining an exemption duration within the availability duration; and a timer module for receiving user input defining a recurring timer calendar for the business process simulation. The system also includes a token scheduling controller, wherein the token scheduling controller is adapted to process instructions corresponding to the user inputs and sending token scheduling instructions corresponding to the user-defined parameters to the business process simulation.