Success Factors of an Enterprise-Wide Digital Twin Strategy

2021 ◽  
Author(s):  
Steve Parvin
Keyword(s):  
Success Factors ◽  
Business Processes ◽  
Lessons Learned ◽  
Digital Twin ◽  
Main Challenge ◽  
Digital Twins ◽  
Starting Point ◽  
Operations And Maintenance ◽  
Organizational Maturity ◽  
Enterprise Level

Abstract While many companies have embarked on their digital transformation journeys implementing different forms of "Digital Twins" to cover specific business processes and challenges, their main challenge has been integrating these disparate Digital Twin projects into one single combined view to create significant new value and competitive advantage for the business. To be effective, the Digital Twin needs to be capable of supporting the entire asset lifecycle from the early phases of a capital project to operations and maintenance up to asset retirement, leveraging the same data in a platform able to support the end-to-end process. This paper looks at several approaches, which large owner operators at different levels of organizational information management maturity have used to build their Enterprise Scale Digital Twin strategies. It uses the lessons learned to highlight the successes and failures of these strategies and recommended approaches going forward. The results observed, identify that whilst there is a reasonably standard roadmap for approaching the development of Digital Twins most customers begin at different points along that journey. It also highlights that the end goal may not be the same across an Enterprise and that by taking the development of a Digital Twin as a series of incremental steps, independent of the starting point, serves to accelerate the journey by driving an increase in the organizational maturity in terms of People, Process and Technology and an improvement in data quality. One of the key components in any strategy was the ability to manage the information standard for the Digital Twin at an Enterprise level, for both greenfield and brownfield organizations and assets. The paper concludes the benefits of technical and commercial scalability and the requirements to get a solid manageable and trustworthy core of information should be at the heart of any Enterprise-wide Digital Twin strategy. This is contrary to the common approach of building a single detailed Proof of Concept (PoC) addressing as many use cases as possible and then templatizing that as an approach to repeat around the Enterprise, which often leads to failure on additional deployments where the maturity and challenges are different.

Involving Lead Users in Innovation: A Structured Summary of Research on the Lead User Method

2018 ◽  
Vol 15 (03) ◽  
pp. 1850022 ◽  
Author(s):  
Alexander Brem ◽  
Volker Bilgram ◽  
Adele Gutstein
Keyword(s):  
Success Factors ◽  
Future Research ◽  
User Characteristics ◽  
Lead User ◽  
Main Challenge ◽  
Starting Point ◽  
Lead Users ◽  
Broad Variety ◽  
Resource Issue ◽  
Breakthrough Innovation

Research on the lead user method has been conducted for more than thirty years and has shown that the method is more likely to generate breakthrough innovation than traditional market research tools. Based on a systematic literature review, this paper shows a detailed view on the broad variety of research on lead user characteristics, lead user processes, lead user identification and application, and success factors. The main challenge of the lead user method as identified in literature is the resource issue regarding time, manpower, and costs. Also, internal acceptance and the processing of the method have been spotted in literature, as well as the intellectual property protection issue. From the starting point of the initial lead user method process introduced by Lüthje and Herstatt (2004), results are integrated into a revisited view on the lead user method process. In addition, concrete suggestions for corporate realization options are given. The article closes with limitations and future research suggestions.

scholarly journals 3D CITY MODEL AS A FIRST STEP TOWARDS DIGITAL TWIN OF SOFIA CITY

2021 ◽  
Vol XLIII-B4-2021 ◽  
pp. 23-30
Author(s):  
H. Dimitrov ◽  
D. Petrova-Antonova
Keyword(s):  
Urban Areas ◽  
Web Application ◽  
User Interaction ◽  
Digital Twin ◽  
3D City Model ◽  
Digital Twins ◽  
Starting Point ◽  
Wide Range ◽  
City Model ◽  
The City

Abstract. Semantic 3D city models are increasingly applied for a wide range of analysis and simulations of large urban areas. Such models are used as a foundation for development of city digital twins, representing with high accuracy the landscapes and urban areas as well as dynamic of the city in terms of processes and events. In this context, this paper presents a 3D city model, which is a starting point for development of digital twin of Sofia city. The 3D model is compliant with CityGML 2.0 in LOD1, supporting integration of the buildings and terrain and enriching the buildings’ attributes with address information. District Lozenets of Sofia city is chosen as a pilot area for modelling. An approach for 3D transformation of proprietary geospatial data into CityGML schemas is presented. The integration of the buildings and terrain is an essential part of it, since the buildings often partially float over or sink into the terrain. A web application for user interaction with the 3D city model is developed. Its main features include silhouetting a single building, showing relevant overlay content, displaying shadows and styling of buildings depending on their attributes.

scholarly journals Smart city based on digital twins

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Li Deren ◽  
Yu Wenbo ◽  
Shao Zhenfeng
Keyword(s):  
Future Development ◽  
Smart City ◽  
Smart Cities ◽  
Twin Cities ◽  
Digital Twin ◽  
Digital Twins ◽  
Starting Point ◽  
The Future ◽  
City Construction ◽  
The Relationship

AbstractDigital twins are considered to be a new starting point for today’s smart city construction. This paper defines the concepts of digital twins and digital twin cities, discusses the relationship between digital twins and smart cities, analyzes the characteristics of smart cities based on digital twins, and focuses on the five main applications of smart cities based on digital twins. Finally, we discuss the future development of smart cities based on digital twins.

How private meta-governance helps standard-setting partnerships deliver

2017 ◽  
Vol 8 (5) ◽  
pp. 525-546 ◽  
Author(s):  
Lili Mundle ◽  
Marianne Beisheim ◽  
Lars Berger
Keyword(s):  
Success Factors ◽  
Good Practice ◽  
Scale Up ◽  
Standard Setting ◽  
Lessons Learned ◽  
Governance System ◽  
Content Type ◽  
Starting Point ◽  
Multi Stakeholder ◽  
The Impact

Purpose This paper aims to analyze the relevance of private meta-governance for multi-stakeholder partnerships. The authors assume that meta-governance, defined as higher level rules that shall guide partnerships’ governance activities, could build on and institutionalize lessons learned about partnerships’ success conditions and, in doing so, may render partnerships’ work more effective in the future. Design/methodology/approach The research paper investigates a case of non-state meta-governance in the standard-setting arena. It explores how actors assess the interaction of the meta-governance efforts of the International Social and Environmental Accreditation and Labelling (ISEAL) Alliance (mainly in the form of their three Codes of Good Practice) and the Alliance for Water Stewardship’s efforts when setting and implementing their International Water Stewardship Standard. For this, a combination of research methods is applied: a literature review for deriving propositions on success conditions; document analysis, participatory observation and semi-structured interviews for gathering empirical evidence on the interaction between meta-governance and the partnership’s work. Findings Respondents praise the benefits of ISEAL’s enabling meta-governance measures to strengthen their standard, structures and processes, as well as from ensuring activities, as these also improve their internal governance system while simultaneously providing credibility. In this context, they confirm the relevance of three success factors mentioned in the literature on voluntary standards: an inclusive process, a locally adapted design of the standard and institutionalized compliance management. Practical implications Instead of reinventing the wheel with every new multi-stakeholder partnership, meta-governance frameworks should be used to enable partnership staff and members, policymakers and stakeholders to learn from experience. Originality/value The authors’ analysis generates unique insights into perceptions of partnerships’ staff and stakeholders regarding lessons learned and private meta-governance. The present study on these actors’ perspectives provides a starting-point for further research on how meta-governance could help institutionalize success factors to scale-up and improve the impact of standard-setting partnerships.

Designing a Virtual Enterprise Architecture using Structured System Dynamics

2006 ◽  
Vol 25 (1) ◽  
pp. 13-29
Author(s):  
Nikitas A. Assimakopoulos ◽  
Anastasios N. Riggas
Keyword(s):  
System Dynamics ◽  
Enterprise Architecture ◽  
Business Processes ◽  
Core Competencies ◽  
Virtual Enterprise ◽  
Business Goals ◽  
Starting Point ◽  
Efficient Integration ◽  
Structured System ◽  
The Impact

The starting point for establishing a Virtual Enterprise is a set of existing enterprises which might contribute with some of their functionalities (core competencies) to the formation of the virtual entity. The most important issue, in this formation, is the rapid integration of the business processes of the participating companies. The architecture of the VE must assist companies desiring to enter into a virtual relationship by defining the functions and interfaces of critical business processes, thus allowing for a more rapid and efficient integration of the expertise which will be contributed by each partner in the virtual enterprise. While the integration of computer and communication technologies are no doubt critical issues, the successful attainment of the business goals of the virtual enterprise often depends on its ability to align the business processes and practices of partner enterprises. Focus of this paper, is the presentation of Structured System Dynamics (SSPS) multi-methodology for the design and the evaluation of a Virtual Enterprise Architecture. SSPS uses Systems Thinking and System Dynamics principles as launch pad for its approach. The Systemic Methodologies of Problem Structuring Methodology (PSM) and SAST are also integrated in this new Multi-Methodology. SSPS is a new practical and scientific tool in designing and evaluating a VE architecture providing the ability to determine the impact, reliability, success of the Architectures' models created, refine them and identify potential process improvements. A framework for the rapid and efficient integration of the business processes of the participating companies in the virtual enterprise is provided. For this multi-methodology, a real-life application is also presented for a Virtual Enterprise that constructs Wireless Payment Mechanisms.

scholarly journals Circular Digital Built Environment: An Emerging Framework

2021 ◽  
Vol 13 (11) ◽  
pp. 6348
Author(s):  
Sultan Çetin ◽  
Catherine De Wolf ◽  
Nancy Bocken
Keyword(s):  
Built Environment ◽  
Circular Economy ◽  
Digital Technologies ◽  
Geographical Information ◽  
Digital Platforms ◽  
Blockchain Technology ◽  
Digital Twins ◽  
Starting Point ◽  
Building Information ◽  
Framework Development

Digital technologies are considered to be an essential enabler of the circular economy in various industries. However, to date, very few studies have investigated which digital technologies could enable the circular economy in the built environment. This study specifically focuses on the built environment as one of the largest, most energy- and material-intensive industries globally, and investigates the following question: which digital technologies potentially enable a circular economy in the built environment, and in what ways? The research uses an iterative stepwise method: (1) framework development based on regenerating, narrowing, slowing and closing resource loop principles; (2) expert workshops to understand the usage of digital technologies in a circular built environment; (3) a literature and practice review to further populate the emerging framework with relevant digital technologies; and (4) the final mapping of digital technologies onto the framework. This study develops a novel Circular Digital Built Environment framework. It identifies and maps ten enabling digital technologies to facilitate a circular economy in the built environment. These include: (1) additive/robotic manufacturing, (2) artificial intelligence, (3) big data and analytics, (4) blockchain technology, (5) building information modelling, (6) digital platforms/marketplaces, (7) digital twins, (8) the geographical information system, (9) material passports/databanks, and (10) the internet of things. The framework provides a fruitful starting point for the novel research avenue at the intersection of circular economy, digital technology and the built environment, and gives practitioners inspiration for sustainable innovation in the sector.

Knowledge management

2014 ◽  
Vol 14 (1) ◽  
pp. 108-134 ◽  
Author(s):  
Morteza Shokri-Ghasabeh ◽  
Nicholas Chileshe
Keyword(s):  
Knowledge Management ◽  
Success Factors ◽  
Research Study ◽  
South Australia ◽  
Lessons Learned ◽  
Extensive Literature ◽  
Management Support ◽  
Content Type ◽  
Critical Success ◽  
Methodological Triangulation

Purpose – A research study has been undertaken at the University of South Australia to introduce application of lessons learned process in construction contractors ' bidding process in the context of knowledge management. The study aims to identify barriers to effectively capture lessons learned in Australian construction industry and how knowledge management can benefit from lessons learned application. Design/methodology/approach – The research study has been undertaken through conducting a “methodological triangulation” and “interdisciplinary triangulation”. This involved an extensive literature review of knowledge management, organisation learning, lessons learned and associated processes and administration of a questionnaire to a sample of construction contractors operating in Australia to elicit opinions on the main barriers to capturing lessons learned, practices such as existence and retention of documentation procedures. A total of 81 useable responses were received from 450 organisations. Response data were subjected to descriptive and inferential statistics with correlation analysis to examine the strength of relationship among the barriers. Findings – The top-3 barriers to the effective capturing of lessons learned were “lack of employee time”, “lack of resources” and “lack of clear guidelines”, whereas, “lack of management support” was the least ranked barrier. The study established that despite the majority of the ACCs having formal procedures for recording the tenders submitted and their outcomes, only a minority actually retained the lessons learned documentation for each project. The larger contractors were found to be more aware of the importance of lessons learned documentation. A comparative analysis with previous studies also found a disparity in the ranking of the barriers. Research limitations/implications – The majority of the participants were small construction contractors in Australia. The reason is that the researchers were not aware of the contractors ' size prior to inviting them for participation in the research study. Second the findings may not generalize to other industries or to organisations operating in other countries. Originality/value – The findings of this survey help ACCs to understand the importance of lessons learned documentation as part of lessons learned implementation and identify the barriers to effectively document their lessons learned. The study provides insights on the barriers and proposes advocated solutions in form of drivers and enablers (critical success factors) of organisational learning capturing among the Australian construction contractors. By reviewing the current literature, “post-project reviews” and “lessons learned” as important elements of organisation learning knowledge transfer, are addressed. Finally, contribution of this study to knowledge and practice has been discussed in this paper.

Digital Twin for Smart Manufacturing: The Practitioner’s Perspective

2020 ◽  
Author(s):  
Maja Bärring ◽  
Björn Johansson ◽  
Goudong Shao
Keyword(s):  
Conceptual Development ◽  
Production Systems ◽  
Manufacturing Sector ◽  
Smart Manufacturing ◽  
Digital Twin ◽  
Adoption And Implementation ◽  
New Information ◽  
Digital Twins ◽  
Discrete Manufacturing ◽  
Design Production

Abstract The manufacturing sector is experiencing a technological paradigm shift, where new information technology (IT) concepts can help digitize product design, production systems, and manufacturing processes. One of such concepts is Digital Twin and researchers have made some advancement on both its conceptual development and technological implementations. However, in practice, there are many different definitions of the digital-twin concept. These different definitions have created a lot of confusion for practitioners, especially small- and medium-sized enterprises (SMEs). Therefore, the adoption and implementation of the digital-twin concept in manufacturing have been difficult and slow. In this paper, we report our findings from a survey of companies (both large and small) regarding their understanding and acceptance of the digital-twin concept. Five supply-chain companies from discrete manufacturing and one trade organization representing suppliers in the automotive business were interviewed. Their operations have been studied to understand their current digital maturity levels and articulate their needs for digital solutions to stay competitive. This paper presents the results of the research including the viewpoints of these companies in terms of opportunities and challenges for implementing digital twins.

Machine learning-based digital twins reduce seasonal remapping in aeroderivative gas turbines

2021 ◽  
pp. 1-7
Author(s):  
Nick Petro ◽  
Felipe Lopez
Keyword(s):  
Machine Learning ◽  
Ambient Temperature ◽  
Gas Turbines ◽  
Operating Conditions ◽  
Pilot Site ◽  
Digital Twin ◽  
Digital Twins ◽  
Machine Learning Model ◽  
Unacceptable Behavior ◽  
External Conditions

Abstract Aeroderivative gas turbines have their combustion set points adjusted periodically in a process known as remapping. Even turbines that perform well after remapping may produce unacceptable behavior when external conditions change. This article introduces a digital twin that uses real-time measurements of combustor acoustics and emissions in a machine learning model that tracks recent operating conditions. The digital twin is leveraged by an optimizer that select adjustments that allow the unit to maintain combustor dynamics and emissions in compliance without seasonal remapping. Results from a pilot site demonstrate that the proposed approach can allow a GE LM6000PD unit to operate for ten months without seasonal remapping while adjusting to changes in ambient temperature (4 - 38 °C) and to different fuel compositions.

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