![]() In the previous blogs of this series, we’ve learned that companies who want to be leaders in the race towards a digital future need to focus on their individual and differentiating business processes. Smart Laundry scenario: A look behind the scenes You will experience the transition from idea to implementation and see how the scenario has been built on top of services inside the SAP Cloud Platform with Workflow Service as the process-engine and heart of the application:īlog Series 3/3 The Process-Driven journey to Digital Transformation – A look behind the scenes In the third and final blog of this series, we take a look behind the scenes of our demo scenario “Smart Laundry”. Accompany businesswoman Angelina who is re-inventing her business model in part 2 of this blog series:īlog Series 2/3 The Process-Driven journey to Digital Transformation – Introducing the Smart laundry scenario The whole approach is then being demonstrated using the fictive “Smart Laundry” scenario. Finally, these process models can be automated by executing them within a process-engine.įind more details in part one of this blog series:īlog Series 1/3 The Process-Driven journey to Digital Transformation – Creating innovative business models by utilizing a Process-Driven IT Architecture PDA is a methodology which helps you to define process models in such a way that they stay flexible and maintainable while actually being lived within your company. It shows you a way to approach your digital transformation challenges by using the standard notation BPMN 2.0 and creating process models based on the process-driven approach (in short PDA). (© Emerald Publishing Limited 2020,).This blog is part of a blog series that shows how innovative business models can be built based on a process-driven IT architecture. It reinforces data-driven construction material management practices through improved visibility and reliability in planning and control of material flow processes. ![]() The research improves on existing research focused on using BIM and RFID technologies to improve material flow processes by showing how the workflow can be adapted to use detailed look-ahead plans. It is particularly useful for the management of engineer-to-order components considering the dynamic site progress. The new workflow allows project participants to combine detailed near-term look-ahead plans with BIM and RFID technologies to better manage material flow processes. Although the workflow shows potential, it should be tested on a real-world site. The new workflow is illustrated using a real-world-like situation with input data based on expert opinion. ![]() The simulation results indicate that the new workflow has the potential to reduce the duration of the material flow processes by 16.1% compared with the traditional workflow. The new workflow enables contractors to better observe on-site status and differences between the actual and planned material requirements, as well as to alert suppliers if necessary. The input for the simulations was derived from expert opinion in semi-structured interviews. The performance of the new workflow is compared with that of a traditional workflow, using discrete event simulations. The new workflow is then used to manage material flows in the erection of an office building with prefabricated columns. To digitally support the workflow, an integrated BIM-RFID database system is constructed that links information on material demands with look-ahead plans. The new workflow is designed according to lean theory and is modeled using business process modeling notation. This paper aims to propose a new workflow designed to include the use of detailed look-ahead plans when using BIM and RFID technologies, which can accurately track and match both the dynamic site needs and supply status of materials. It remains challenging, however, to effect ively use these technologies to enable the precise and reliable coordination of material flow processes. Building information modelling (BIM) and radio frequency identification (RFID) technologies have been extensively explored to improve supply chain visibility and coordination of material flow processes, particularly in the pursuit of Industry 4.0.
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