Co-creation and design thinking are gaining more and more fame and traction in the business world. Their framework of co-creation (Fig.4) provides an overview of the existing literature on value co-creation.
The Application Process
In case new knowledge emerges in subsequent phases, the design scope can be adjusted. It is essential at this stage that the design team focuses on functionality rather than appearance.
Expected Results of Applying the Methodology and Limitations
But he also states that design thinking will not solve problems, because it is neither a discipline nor a methodology and therefore does not have clear process descriptions. Meinel, Plattner and Leifer address this lack and establish a design thinking research program to improve and describe design thinking in more detail (HPI—Stanford2016).
Purpose of the Method
Initial research on the performance measurement of design thinking in co-located and business teams has been published (Meinel et al.2012) and their results show, among other things, that the concept of mind shift or strengthening the development of epistemological points of view (POVs) ) improve the number by participants while conducting design thinking projects. The following section outlines the business model canvas, which is a relatively quick and simple way to capture nine important elements of a business model.
Applying the Method
Reflect on the partners needed to create value and complete tasks we cannot perform internally. The business model canvas was criticized for its rather superficial guidance on defining the value proposition.
Customer Pro fi le and Value Proposition
The business model canvas contains the described nine elements and should be elaborated in this order. The comparison of these two sectors results in a rough estimate of the viability of the developed business model and provides a basis for discussion.
Expected Results of Applying the Methods and Its Limitations
2006a).Open innovation: research into a new paradigm. 2006b).Open innovation – The new imperative for creating and profiting from technology. In particular, the challenge of managing valuable assets has become increasingly complex (see the challenges in the 'The Challenge' chapter in this book).
Selected Background on Complexity
However, there is neither a lower limit of interactions for self-organization, nor an upper limit. Second, if interaction occurs between too many organizational actors, self-organization does not lead to pattern formation.
De fi nition of Complexity
Understanding the evolution of the system over time is not feasible due to the many interrelated and changing variables. The behavior of the system is often contradictory, ie. contrary to the behavior expected by decision makers.
Short Overview of Some Tools for Managing Complexity
Close connection of the system elements: The system elements or agents in the system interact strongly with each other. It emphasizes the interdisciplinary interaction between technological, social, legal and natural domains when managing high-performance IPSS and other systems (see “The Challenge” section of this book for the challenges of upgrading and managing IPSS).
Elements of a Causal Context Model
A CCM helps those involved evaluate the impact of changes on their business-level objectives and compare various of these scenarios using behavior over time graphs. The example in Fig.4 shows an example of a CCM developed for an organization participating in the UIW project.
Causal Context Model Development
Define the reference behavior in business-level objectives using behavior graphs over time: Then do step 1 now for business-level objectives. This step should ensure that the relevant policies, i.e. the measures that a decision maker can influence, to achieve the objectives at technical and business level, are included in the CCM.
System Dynamics Modelling Process
It is essential that the problem owners understand the basic workings of the model and continually validate the model output. This iteration also includes repeated feedback from the stakeholders to gain a better understanding of the model.
Applying System Dynamics
The role of feedback dynamics in disruption and delay in the nature of disruption and delay (D&D) in large projects. Journal of the Operations Research Society Growing artificial societies: Social science from the bottom up. The Magic Number Seven, Plus or Minus Two: Some Limits on Our Capacity to Process Information. Some methods include only characterization factors but no normalization or weighting factors, and these methods are called "midpoint methods".
Carbon Footprint
This allows companies to later focus on the most important indicators, such as the CO2 footprint. Advantages of the carbon footprint as an indicator are that it is easy to understand, globally interesting, widely applicable and easy to implement for different strategies (Alvarez et al. 2016). The typical sources of greenhouse gas emissions in carbon footprint calculations are energy production and consumption in the form of electricity, heat or fuels, transport and selection of raw materials.
Water Footprint
The "Water Scarcity Footprint" or "Water Availability Footprint" assesses the impacts associated with water use only, while the "Water Eutrophication Footprint" assesses the impact associated with eutrophication only. If all important impacts of water use (eg water use, eutrophication, acidification, freshwater toxicity) are included, the study can be called a water footprint (without qualifier). Water footprint and environmental risk assessment can be linked to obtain complementary data on the sustainability of a product in water (Saarivuori et al. 2015).
Handprints
Reducing the environmental impacts of the industry can be achieved with effective life cycle management. 2011). Specification for the assessment of life cycle greenhouse gas emissions of goods and services (Part 38). Summary European companies today are involved in many phases of the product life cycle.
Virtual Reality
Additions and changes to the design can be added without requiring any physical remodeling or rebuilding of the objects. This is related, although not directly, to the subjective sense of "presence" of the user. Presence can be interpreted as a measure of the extent to which the user forgets the medium in favor of the experience of "being" in the virtual environment (Loomis 1992).
Virtual Reality in the Adaptation Process
Another strong driver for using VR technology compared to traditional visualization of 3D models is the increased spatial understanding achieved in a VR environment. This helps experts in domains outside of 3D modeling and CAD to reach the same or close to the same understanding of the models as the model developer. Further, it introduces the field of 3D imaging as a technology to provide accurate digital 3D surface representations of the pre-existing assets.
VR Technologies Related to Adaptation of Manufacturing Processes
Figure 1 shows an abstraction of the main components of a VR system that includes 3D image data. It is derived from the description of the content of the data set that results from the 3D imaging process. There are several studies in this field to classify and describe the available technologies for 3D imaging (Besl1988; Beraldin et al. 2007).
Introduction
This section describes the tool for integration of 3D imaging and virtual reality developed during the UIW project. The description includes how the tool should be applied, the expected result of such application, together with the perceived limitations.
The Application Process
Mapping the current status of the system with the PLM/MRP/MES system and using existing 3D imaging technologies in combination with CAD. Choice of technologies and approach is determined by the objectives, but also by the size and complexity of the related objects in the system. Depending on the purpose and context of the solutions to be evaluated, one can choose a platform or a combination of the available platforms to facilitate a better understanding of the proposed solutions.
Expected Results from Application of the Tool
The feedback is then collected and assessed to decide whether to approve or disapprove the proposed solutions. Based on the feedback, an iteration might be appropriate when the expert tool sync needs another round of functionality/visual aids/interface improvements or the like. The improved design is then prepared for a new iteration, during which the actors involved will re-evaluate.
Limitations of the Tool
Proceedings of the 9th IEEE International Conference on Industrial Informatics (INDIN) (pp Användning av punktmolns- data från laserskanning vid editing, simulation och inverse engineering and digital productionsmiljö. State of the art and applications of 3D image sensors in industry cultural heritage, medicine and criminal investigation.Sensors Human factors engineering methodologies are essential to take full advantage of new technologies that support operators at all stages of the product life cycle.
Industrial Challenges: Changing Market Demands
Summary The nature of production in the manufacturing industry is changing and companies are facing major challenges. In contrast to a traditional linear economy, i.e. 'take-make-dispose', the circular economy emphasizes the reusability of products and raw materials as a starting point and minimizes waste throughout the industrial and ecological system. These challenges are topics in the Use-it-Wisely (UIW) project and objectives: Design of adaptable and upgradeable products and flexible (re)production processes are crucial aspects for realizing a circular economy-based business.
Industrial Challenges: Changing Production Technologies
3 Schematic representation of the process steps of the (sub)assembly and test phases with the MAS. Although the exact numbers are debatable (Ulrich and Pearson1993), the design literature suggests that, at the average product design stage, 70–80% of the costs have already been defined (e.g., Sheldon et al. 1990). In UIW there is focus on the changing role of the product development function in manufacturing companies.
Level of Automation
Operator Support Systems
It discusses the development of the concept of CoPs and considers how this relates to knowledge management life cycle and learning theories. Managing knowledge using the concept of virtual communities has the potential to increase overall productivity and innovation in the organization (Chiu et al.2006). The section starts with a summary of the development of the concept of CoPs and how this supports the management of knowledge.
The Development of the Concept of Communities of Practice
One of the goals of the UIW project is to design and develop a knowledge management strategy to support the work environment in industrial manufacturing organizations. This was mainly due to the different interests and viewpoints of the studies and participants (Cox 2005). Wenger provided a guide to the design and management of CoPs for performance improvement and brought together the ideas presented in previous works, focusing on the value of CoPs as a knowledge management tool for innovation and problem solving where the purpose is learning and knowledge sharing rather than specifically by completing a common task (Cox 2005).
Communities of Practice and the Management of Knowledge
Communities of Practice and Industry
Virtual communities can support SMEs in forecasting work activities and provide them with current information on market trends and technological advances (Du Plessis2008). SMEs deal with information that can be very specialized and they do not manage knowledge in the same way as larger organizations, so scaling down knowledge management practices found in multinational organizations to suit SMEs is not appropriate due to financial and resource constraints . The impact is that staff have to keep up with changes in the rapidly changing industrial manufacturing markets, without the assistance of the necessary tools and equipment (Du Plessis2008).
Communities of Practice and Cross-Industrial Knowledge Flow
However, one solution to an SME's financial and resource constraints is to participate in a cross-industry CoP, where a number of industries can contribute to the development of the site, the resources and the content of knowledge. The rarity of cross-industry virtual communities is because the industries' knowledge is part of the asset that differentiates them from other organizations when competing for contracts. The section starts with a summary of the structure of all CoPs (including virtual communities) and how this supports the management of knowledge, followed by a discussion of the challenges for successful virtual communities are explained, including guidelines regarding purpose, content, context, conversations, connections and technology that should be used for the overall development of the UIW virtual community.
Structural Characteristics of a Community of Practice
Finally, the practice should be flexible enough to cover all industries and provide an environment that develops new cultural norms, conventions and a shared history.
Major Factors for a Successful Virtual Community
The size of a community can be an important element in the sustainability of a community because the amount of posts and views of a community is related to the number of members (Koh et al. 2007). Creating connections within a virtual community involves creating relationships among members to facilitate knowledge transfer (Jin et al.2010). In addition, the diversity of technological skills among members creates further challenges (Koh et al.2007).
Current Collaborative Tools
Linking communities of practice with information technology in pursuit of global knowledge sharing. Journal of Strategic Information Systems. The application of the systems engineering approach has led to the definition of different standards and methods to support all the perspectives that characterize a project. An overview of some of the most important systems engineering standards is available from (Friedenthal et al. 2014).
Model-Based Systems Engineering
