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Effective collaboration and knowledge management are the major contributors of success in the construction industry. Although a huge amount of interdisciplinary knowledge is exchanged in building design processes, there is a lack of tools for representing information flows. Therefore, this paper focuses on the collaboration between architects and structural engineers and introduces an innovative matrix-based tool named “The Layered Dependency Structure Matrix” for modeling and managing the discipline-specific and collaborative design activities. The proposed method is compared with the conventional techniques used in the industry and its application is demonstrated in a beam design example.

In this paper, we seek to understand how changes in product architecture affect the innovation performance of firms in a complex product ecosystem. The canonical view in the literature is that changes in the technological dependencies between components, which define a product’s architecture, undermine the innovation efforts of incumbent firms because their product development efforts are built around existing architectures. We extend this prevailing view in arguing that component dependencies and changes in them affect firm innovation efforts via two principal mechanisms. First, component dependencies expand or constrain the choice set of firm component innovation efforts. From the perspective of any one component in a complex product (which we label the focal component), an increase in the flow of design information to the focal component from other (non-focal) components simultaneously increases the constraint on focal component firms in their choice of profitable R&D projects while decreasing the constraint on non-focal component firms. Second, asymmetries in component dependencies can confer disproportionate influence on some component firms in setting and dictating the trajectory of progress in the overall system. Increases in such asymmetric influence allow component firms to expand their innovation output. Using historical patenting data in the personal computer ecosystem, we develop fine-grained measures of interdependence between component technologies and changes in them over time. We find strong support for the empirical implications of our theory.

Scheduling in information-driven design phase of construction projects is challenging due to multiple entity types (teams, components, deliverables, activities or parameters) and their dependencies/linkages. Established techniques such as dependency structure matrix (DSM), beeline diagramming method (BDM), multiple domain matrix (MDM), etc. have been independently utilized in past to model information dependencies/linkages and associated iteration. However, there has not been a holistic solution yet for scheduling multiple entity types and their relationships. Hence, an integrated solution needs to be developed that schedules information-driven projects accurately.

A case study data collection approach is utilized. With data from two projects, i.e. hostel design and highway design, a BDM–MDM integrated solution was developed and applied to the same. Feedback from experts was obtained for refinements.

The proposed solution is efficient for scheduling multiple entity types and their information dependencies/linkages.

The proposed integrated solution enables the project participants to schedule information-driven projects systematically. Application to two distinct design cases emphasizes that the concept is generic and can be applied to any information-driven project with multiple entity types.

The BDM–MDM integrated solution concept is investigated for scheduling multiple entity types in any information-driven projects. This study also explored the terminologies such as multiple entity types and information-driven scheduling.

The building design processes today are complex, involving many disciplines and issues like collaboration, concurrency and collocation. Several studies have focused on understanding and modeling formal information exchange in these processes. Few past studies have also identified the importance of informal information exchanges in the design process and proposed passive solutions for facilitating this exchange. The purpose of this paper is to term the informal information as ad hoc information and explores if components of ad hoc information exchanges can be actively managed.

An MDM-based framework integrating product, process and people dependencies is proposed and a prototype platform to implement this framework is developed. The demonstration on the usage of this platform to identify information paths during collaboration and hence manage ad hoc information exchanges is presented through an example problem.

Based on the effectiveness of the prototype platform in identifying information paths for design queries, it is concluded that the proposed framework is useful for actively managing some components of ad hoc information exchange.

This research enables the design manager/participants to make a more informed decision on requesting and releasing design information.

Properly allocating an organization's activities within a building is vital to reducing the relational complexity arising from process–environment interactions. Multiple relationships are mapped, and certain interferences are only identified after these have been processed. The method/software employed for this task is Mapping Activity Environment Allocation (MAEA). However, data input and interpretation of results depend on the usability conditions of the organization's agents. This paper presents MAEA's usability test results.

Test sessions and interviews were carried out with seven agents registered at a University Hospital. Participants were instructed to think aloud during its use, and immediately afterward, responded to semi-structured interviews. Test sessions were audio recorded and screen captured.

Participants found the software easy to use and pointed out valuable implications for professional and academic use. In addition to relationship, priority and parallelism data, customized visualizations were created, including organizational charts, flowcharts and activity flow routes on the floor plan.

MAEA's simplicity allows non-designers to conduct evidence-based assessments and decisions. It allows designers to test their proposals during the programming and outline proposal stages.

A more detailed definition of design requirements from the beginning increases the conditions to successfully achieve project goals.

The ability to map the allocation of activity-spaces in the pre-design phase of building architecture allows for early identification of interactions, aiding in the development of more robust project requirements during programming.

This paper aims to explore the role of customer engagement during the production of services in a modular innovation. Modularity can be used to explain the structure and relationship in services innovation.

The authors explore the theory of modularity focussing on the context of consumer engagements. They adopted ideas from product modularity and approach services using modular principle.

Contrary to the extant literature, the authors are content that the transactions between the participants were mainly conducted at thick crossing points. By focusing on thin crossing point, the service provider will achieve better overall service structure.

There is a need to focus on specifying interface to define how service modules and service providers interact with the customer within the service.

By engaging customer, modular principle can help firms achieve cost efficiency, higher product and process variety, as well as better response to individual customer needs.

This paper scrutinises the engagement of customer and conceptualises the role of customer in modular innovations that have been previously neglected.

This study analyses new product development (NPD) processes of small- and medium-sized enterprises (SMEs). The purpose of this paper is to find successful innovation processes of SMEs on the one hand, and to reveal starting points to further improve these processes on the other.

Data were gathered from 49 semi-structured, face-to-face interviews with German firms. From the total of 49 cases, the authors identified three manufacturing SMEs with high-performing innovation processes, whose NPD processes the authors took as best practice examples. The authors then used the design structure matrix to map these three NPD processes, and optimised the sequence by applying an optimisation algorithm.

The authors determined which activities could be done sequentially, in parallel, or overlapping. The authors also scrutinised the position of dynamic milestones and demonstrated that the best-performing SMEs had flexible NPD processes, which allowed for an accelerated innovation process.

Due to the qualitative design of the investigation, the research presented was not specifically designed to draw statistical generalisations. For this reason, the results may not be applicable to all SMEs.

The authors recommend that SMEs uncouple activities as much as possible. In this regard, the findings revealed that that especially technical and economic activities may be conducted in parallel due to their low dependence.

The paper offers an SME-specific NPD process to optimise the innovation performance. Moreover, the findings deliver new knowledge on how the best-performing SMEs innovate.

As the engineering design process becomes increasingly complex, multidisciplinary teams need to work together, integrating diverse expertise across a range of disciplinary models. Where changes arise, these design teams often find it difficult to handle these design changes due to the complexity and interdependencies inherent in engineering systems. This paper aims to develop an innovative approach to clarifying system interdependencies and predicting the design change propagation at the asset level in complex engineering systems based on the digital-twin-driven design structure matrix (DSM).

The paper first defines the digital-twin-driven DSM in terms of elements and interdependencies, where the authors have defined three types of interdependency, namely, geospatial, physical and logical, at the asset level. The digital twin model was then used to generate the large-scale DSMs of complex engineering systems. The cluster analysis was further conducted based on the improved Idicula–Gutierrez–Thebeau algorithm (IGTA-Plus) to decompose such DSMs into modules for the convenience and efficiency of predicting design change propagation. Finally, a design change propagation prediction method based on the digital-twin-driven DSM has been developed by integrating the change prediction method (CPM), a load-capacity model and fuzzy linguistics. A section of an infrastructure mega-project in London was selected as a case study to illustrate and validate the developed approach.

The digital-twin-driven DSM has been formally defined by the spatial algebra and Industry Foundation Classes (IFC) schema. Based on the definitions, an innovative approach has been further developed to (1) automatically generate a digital-twin-driven DSM through the use of IFC files, (2) to decompose these large-scale DSMs into modules through the use of IGTA-Plus and (3) predict the design change propagation by integrating a digital-twin-driven DSM, CPM, a load-capacity model and fuzzy linguistics. From the case study, the results showed that the developed approach can help designers to predict and manage design changes quantitatively and conveniently.

This research contributes to a new perspective of the DSM and digital twin for design change management and can be beneficial to assist designers in making reasonable decisions when changing the designs of complex engineering systems.

Because of the multiple design elements and complicated relationship among design elements of complex products design, it is tough for designers to systematically and dynamically express and manage the complex products design process.

To solve these problems, a supernetwork model of complex products design is constructed and analyzed in this paper. First, the design elements (customer demands, design agents, product structures, design tasks and design resources) are identified and analyzed, then the sub-network of design elements are built. Based on this, a supernetwork model of complex products design is constructed with the analysis of the relationship among sub-networks. Second, some typical and physical characteristics (robustness, vulnerability, degree and betweenness) of the supernetwork were calculated to analyze the performance of supernetwork and the features of complex product design process.

The design process of a wind turbine is studied as a case to illustrate the approach in this paper. The supernetwork can provide more information about collaborative design process of wind turbine than traditional models. Moreover, it can help managers and designers to manage the collaborative design process and improve collaborative design efficiency of wind turbine.

The authors find a new method (complex network or supernetwork) to describe and analyze complex mechanical product design.

The purpose of this paper is to analyze how firms are redesigning the organizational architecture of supply chains, bundling and unbundling resources, sharing information and coordinating flows in order to facilitate capability partitioning. It aims to analyze how process interdependencies are managed either through modularity or coordination mechanisms. The paper is anchored in the emergent theory of modularity, a transaction cost‐based perspective of modular systems.

This paper adopts the case study methodology. It uses an in‐depth case study of Logoplaste, a global supplier of plastic packaging, in particular investigating how the firm organizes supply chain activities around an integration mode designated as “hole‐in‐the‐wall.”

In a context of high process interdependence the firm has developed a coordination capability, an ability to manage the interfaces at minimum cost either by modularizing the process or defining appropriate coordination mechanisms. This capability becomes a core competence of the firm that enables it to further appropriate rents that lie at process interfaces.

The case study method limits the generalization of the findings, but allows more depth in the analysis of the proposed framework.

As the complexity of sourced components increases firms will need to complement their modular approach to supply chain design with new organizational‐coordination skills and an ability to externalize knowledge. The case study provides several examples of the type of coordination required.

This research adds to the literature on organizational modularity in two distinct ways. First, it focuses on the development of a coordination capability to manage process interdependences rather than the partitioning of technical capabilities across the supply chain. Second, it brings to the discussion of modularity recent developments in transaction cost economics that go beyond the engineering perspective. A coordination capability represents the organization's ability to organize transactions in order to appropriate rents, rather than merely minimize transaction costs.