Lean Construction Ireland Annual Book of Cases 2021 84 quality checks have been completed, the unit is wrapped and made ready for delivery to the client’s construction site. After all the information had been gathered, aVSM was compiled and a finalised version was presented to the MHI management team for review and comment. Figure 1. cVSM The standout waste findings were: • 20%+ non-value-add time within the internal design process. • €100,000+ of product sitting idle on the production floor adding zero value. • Panel teamwere over-producing in the range of 50%, leading to an oversupply of the assembly line and thus creating delays to production times. • Overall production time was >4 times higher than the ideal state (albeit due to known reasons). Responding to these findings, the digital construction team identified several opportunities for improvement: • A digital method to track each unit through production and to dashboard the work in progress in near real-time, which would allowmanagement to quickly identify and resolve any roadblocks in the production cycle and to better manage overall production time. • The lack of a common data environment (CDE) was preventing the entire design teamoperating in a collaborative manner as well as the integration of stakeholders from design, production, and site installation on a single platform. This lack of a collaborative space was causing delays and miscommunication within the design process. As not having enough timely information is the root cause to both of these findings, the digital team deployed two separate solutions.Both looked to reduce manual interaction with the process to address many of the 8 sources of waste identified within the opportunities. • UnitTracking – Digital Construction developed an in-house app to allow the different production managers track the start/stop work time for each unit. By using QR codes on each unit, the managers could open the app, scan the QR code to quickly identify the unit, and select a start/stop button to capture the time.This data was feeding a dashboard that management could access for near real-time information. • CDE – Digital Construction deployed BIM360 fromAutodesk to act as a common platform for the design process as well as the integration of the quality process, thus further enhancing the collaborative environment. Figure 2. MHI App Lean Initiative Improvements & Impact Increasing Productivity and Sustainability Using Single Identity IoT Current state mapping of MHI practices highlighted that substantial value could be added if production was accurately monitored and tracked in near real-time, thus providing MHI management with the information to take immediate action. However, the previous manual tracking and disconnected software solutions provided incomplete, inaccurate, or too outdated information to assess and action effectively. Additionally, they were finding that the in-house developed app was proving too cumbersome to implement efficiently. MHI management recognised that there was room for improvement and executed extensive research looking for a single solution.The solution had to be flexible enough to identify units throughout their lifecycle, track processes activities around the assembly and installation, track the work completed, track equipment and stock in a production or construction environment by providing granular time-based activity, conditioning, and location data. They found a new and innovative modular, multiprotocol, singleidentity solution in HivingTechnology’s “Hive OneID” product.The multiprotocol OneID building blocks enable cost-effective realtime data collection of all the components MHI set out to track Using NFC for close-range, Bluetooth for position tracking, and other radio frequency protocols for mid- and long-range tracking. The OneID has an active life of approximately three years and is passive through NFC for life, is modular, configurable, and can be equipped with sensors to suit requirements such as temperature, humidity, movement, tilt, and an accelerometer.This thus created a constant streamof granular data from connected manufacturing that construction operations used to learn and adapt to new or changing demands in near real-time. Case 23
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