Process Building Block Assembly for Knowledge Distribution
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Solution Overview
Problem
Current industrial project management in product development and other industrial settings lacks an efficient digital infrastructure for managing complex processes across multiple projects and subsidiaries, leading to delays in knowledge distribution and inefficient resource allocation.
Innovation Solution
A computer-implemented method for optimizing process assembly by populating a system database with work package elements, modeling them into process building blocks, dynamically assembling these blocks into processes, and enacting them through an enactment engine, while monitoring and reporting on their execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual process management is used across multiple projects and subsidiaries, then organizational flexibility is maintained, but knowledge distribution is delayed and resource allocation is inefficient
Solution Approach 1:
The system segments processes into reusable process building blocks (PBBs) that can be independently managed, stored in libraries, and dynamically assembled. This segmentation enables efficient knowledge distribution across subsidiaries while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The digital infrastructure creates universal process building blocks that can be used across multiple projects and subsidiaries. The same PBB library serves multiple functions: knowledge storage, process assembly, execution management, and resource allocation, eliminating the need for separate management systems at each subsidiary.
2Productivity
If processes are manually managed without digital infrastructure, then system complexity is low, but resource allocation efficiency and process execution speed are reduced
Solution Approach 1:
The enactment engine automatically executes processes by self-assigning tasks to appropriate work resources based on predefined rules and resource capabilities. This automation eliminates manual intervention in process execution, significantly speeding up process execution speed while the centralized digital infrastructure manages the complexity.
Solution Approach 2:
The system implements monitoring and reporting mechanisms that provide feedback on process execution status, resource utilization, and knowledge distribution effectiveness. This feedback enables continuous optimization of resource allocation and process execution without requiring complex manual management structures.
3Adaptability or versatility
If processes are statically assembled, then process stability is maintained, but adaptability to different project requirements is reduced
Solution Approach 1:
The system enables dynamic assembly of processes from process building blocks based on specific project requirements and user selections. Processes can be flexibly configured by selecting appropriate PBBs from libraries and defining their sequences and relationships, providing high adaptability while the underlying digital infrastructure manages the assembly complexity.
Data Source
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AI summary
A computer-implemented method for optimizing process assembly by handling process building blocks is provided, the method comprising modelling work package elements into process building blocks, arranging process building blocks in data models, enacting and assembling the process building blocks and updating the data models. A non-transitory computer-readable medium comprising instructions which when executed by one or more processors cause the one or more processors to perform the steps of the method and a process building block handling system for implementing the method are further provided, wherein the system comprises the non-transitory computer-readable medium, a process building blocks library, an enactment engine and a content engine.