This work deals with the implementation of data continuity within the project documentation. This data continuity is implemented in order to follow the Industry 4.0 philosophy, already in the early design phase of the project. The project also gives an example of the implementation of the Internet of Things and the possibility of using it in industrial zones.

Innovation and new technologies are daily changing the characteristics of facilities as building owners are requiring more automated services, increased security is becoming more prevalent, and budget constraints are affecting facility operations. Therefore, additional avenues should be evaluated to reduce long-term costs by improving facility maintainability. The conclusions of these quarries should be incorporated into the design and preplanning phases as early as possible, as this is when the most impact can be made at the least expense. As it relates to this effort, preplanning refers to the project concept development and includes some initial aspects of the design. Preplanning for maintainability is one aspect that has historically not received much industry attention. This study considered the preplanning process as it pertains to maintainability, particularly for intelligent buildings, as this is the current trend in which building construction is heading. It limitedly considered the historic aspects of construction and automation, assessed the current situation and considered the projected future needs. Based on the expectations as to where future building intelligence will lead, it was ascertained that better preplanning should be incorporated into the construction process, especially as it pertains to maintainability.

Published works cite that 70-80% of the total cost of a product is established during conceptual design, and that improvements in time-to-market, quality, affordability, and global competitiveness require the development of better approaches to assist decision-making during the early stages of product design, as well as facilitate enterprise knowledge management and reuse. For many years, concurrent engineering and teaming have been viewed as “the answer” to product development woes, but studies reveal teaming is not sufficient to handle the task complexities of product development and the long-term goal of enterprise learning. The work of Roberto Verganti provides new insights with regard to reciprocal interdependencies (RIs), feedforward planning, selective anticipation in the context of improving teaming and concurrent engineering, as well as enterprise learning, knowledge management, reuse. In this research, reciprocal interdependencies management (RIM) is offered as a means of addressing product development and concurrent engineering issues occurring in the early stages of design. RIM is combination of Verganti’s concepts, a conceptual RIs structure, new RIM-application strategies, RIM-diagramming, and a conceptual RIM-based decisions support system, which come together to form a vision of a RIM-based enterprise knowledge management system. The conceptual RIM-based DSS is presented using the specific case of supporting a working-level integrated product team (IPT) engaged in the design of an aircraft bulkhead. A qualitative assessment tool is used to compare RIM to other approaches in the literature, and initial results are very favorable.