Allocation Framework for Automated Object Management
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Solution Overview
Problem
Complexity in allocation processes across various systems and applications, such as inventory and claim transfers, due to multiple factors like dependencies between process steps and large allocation volumes, necessitates a system-side support for efficient management.
Innovation Solution
A pre-configured allocation framework with a monitoring and control unit and a working unit that allows for presetting process steps, generating workflow patterns, and managing work stocks with allocation instructions, enabling fully automatic, partly automatic, or manual processing of allocation processes through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If allocation processes are managed manually across multiple systems and applications, then flexibility in handling different allocation types is maintained, but complexity and error rates increase significantly
Solution Approach 1:
The patent introduces an intermediary allocation management system that sits between multiple applications and the allocation framework. This intermediary layer standardizes allocation requests, manages work stocks, and coordinates process steps across different systems, thereby reducing complexity while maintaining reliability through centralized control and standardized interfaces.
Solution Approach 2:
The allocation framework is designed as a universal system that can handle multiple allocation types (inventory transfers, claim transfers, liability transfers) across different applications through a common interface and standardized process steps. This multi-functionality reduces the need for separate management mechanisms for each allocation type, thereby reducing overall complexity while maintaining reliability through consistent handling.
2Productivity
If allocation processes are fully automated, then productivity increases and errors are reduced, but the initial setup complexity and resource requirements increase
Solution Approach 1:
The patent segments the allocation process into discrete, manageable process steps (preparatory steps, allocatory steps, follow-up steps) that can be individually configured and executed. This segmentation allows for automated processing of each step while keeping the overall system complexity manageable through modular design and standardized interfaces between steps.
Solution Approach 2:
The system allows dynamic parameter changes during allocation processes, such as adjusting allocation rules, priorities, and resource assignments based on real-time conditions. This flexibility enables automated processing to adapt to different scenarios without requiring complete reconfiguration, thereby maintaining high productivity while managing complexity through parameter-based control.
3Reliability
If multiple process steps with dependencies are implemented in allocation processes, then allocation accuracy and compliance are improved, but processing time and operational complexity increase
Solution Approach 1:
The patent implements preliminary actions by pre-configuring allocation rules, validation criteria, and process step sequences before actual allocation operations. Work stocks are prepared in advance with predefined allocation instructions, and dependency relationships between process steps are established beforehand. This preliminary setup enables faster execution during actual allocation while maintaining accuracy through pre-validated rules.
Solution Approach 2:
The system maintains continuity of useful action by enabling parallel processing of independent process steps and minimizing idle time between sequential steps. Allocation frameworks continuously process work stocks through defined process steps without unnecessary interruptions, and dependency management ensures that steps are executed as soon as prerequisites are met, thereby reducing total processing time while maintaining accuracy through continuous validation.
Data Source
AI summary
Systems and methods are disclosed for supporting at least one allocation process for an allocation of objects in at least one application by way of an allocation framework pre-configured for the allocation process, with at least one monitoring and control unit and at least one working unit. In one implementation, the allocation process is pre-configured in the allocation framework by presetting process steps and defining their sequence. At least one work stock that can be retrieved via the allocation framework is made available and managed by the working unit for the allocation process to be supported, in which work stock allocation type-specific and application-specific allocation instructions that can be input via the allocation framework or are preset in a rule-based manner, are filed. In addition, the at least one pre-configured allocation process to be supported in the allocation framework may be instantiated and started by the working unit of the allocation framework, wherein in order to carry out the allocation process the associated work stock is processed fully automatically, partly automatically or manually as desired, and if necessary the application connected via an interface predetermined by the allocation framework is automatically addressed for performing allocation actions associated with the respective allocation process steps.