The AMRC Data-Centric Manufacturing Workflow is a framework under which all data-driven projects within the AMRC should be carried out. The framework follows a number of steps that data-driven projects should follow from defining a clear business case for the project, to collection, managing and storing quality data, to analysis and interpretation of modelling results. The aim of the workflow is to provide guidance and tools for better scoping of such projects, better transparency throughout the project and to help manufacturing organisations build the correct team of experts required for such projects.
Whilst the framework does not change, it can be used in an agile way to suit any data-driven project. Not all steps may be necessary for all projects - the key is that active decisions should be made regarding the need for each step in the workflow.
To help use the workflow we have provided various tools with active links to template documents and tools that can be used to carry out your data-driven project.
For the purpose of illustrating the steps of the workflow a linear approach is used but the implementation of the workflow allows for agility and flexibility.
Throughout the workflow, document templates aim to ensure project teams are actively thinking through any decisions related to the data that is used and analysis that needs to be done to meet the business case. Throughout we also provide prompts to ensure that the project remains viable in the light of the available data and any shift in scope.
The AMRC DCM workflow has been developed primarily for use by AMRC staff taking into account mandatory processes and documentation. Therefore, templates as they currently exist will be unsuitable for external use. However, most almost all content is transferable to data -driven projects in other organisations and fields.
For further information on using the AMRC DCM Workflow externally please get in touch with us.
The workflow consists of four main parts: 1. A scoping document to help you scope DCM projects with the correct resources, people and costs, 2. this website that provides guidance for carrying out data-driven projects and access to the relevant document templates that can be downloaded locally, 3. an Excel sheet that provides the framework as a task list to work through with active links to the relevant documents, guidance pages and Github template, 3. a Github template that can be copied locally providing guidance on coding best practice and version control. All of these tools contain active links so that the user can move seamlessly between the tools, guidance and documents within their own local storage area (provided the link is added into the Excel front page).