A computer program for model verification of dynamic systems

Dynamic model verification is the process whereby an analytical model of a dynamic system is compared with experimental data, and then qualified for future use in predicting system response in a different dynamic environment. There are various ways to conduct model verification. The approach adopted in MOVER II employs Bayesian statistical parameter estimation. Unlike curve fitting whose objective is to minimize the difference between some analytical function and a given quantity of test data (or curve), Bayesian estimation attempts also to minimize the difference between the parameter values of that function (the model) and their initial estimates, in a least squares sense. The objectives of dynamic model verification, therefore, are to produce a model which: (1) is in agreement with test data, (2) will assist in the interpretation of test data, (3) can be used to help verify a design, (4) will reliably predict performance, and (5) in the case of space structures, facilitate dynamic control

Prioritizing BIM Capabilities of an Organization: An Interpretive Structural Modeling Analysis

The Indian Architectural Engineering and Construction sector is grappling with the adoption of BIM as is evident from a relatively low level of adoption. While there have been sufficient number of successful (and unsuccessful) project level implementations of BIM in India, the maturity level of the overall industry and its constituents remains relatively low. One of the challenges faced, especially at the organizational level, is an understanding and development of the organization's BIM capabilities. These capabilities need attention in terms of their effectiveness and hierarchy of implementation in order to overcome the challenges of adoption and increasing maturity levels in BIM usage. The inability to identify crucial BIM capabilities is one of the primary barriers to ineffective BIM implementation and slow adoption in India. The aim of this study is to investigate the dynamics of different BIM capabilities and to understand how these capabilities can be represented as a set of interrelated elements by adopting Interpretive Structure Modeling (ISM) technique Accordingly, a clear understanding regarding the nature of each BIM capability is developed that will help the organizations to plan the strategic implementation of BIM on any project and gain systematic, logical and productive results. Through the three-phased study, it was concluded that BIM capabilities namely visualization, energy and environment analysis, structural analysis, MEP system modelling, constructability analysis, and BIM for as-built were found to be the independent BIM capabilities having strong driving power but weak dependence power. Facilities management is a dependent BIM capability with weak driving power but strong dependence power. This study provides a roadmap to BIM implementers by highlighting the driving and dependence power of each BIM capability which is deemed useful for enhanced delivery of construction projects. Significant theoretical and practical implications are envisioned for both researchers and project managers through the findings of this study

Leveraging Open-standard Interorganizational Information Systems for Process Adaptability and Alignment: An Empirical Analysis

PurposeThe purpose of this paper is to understand the value creation mechanisms of open-standard inter-organizational information system (OSIOS), which is a key technology to achieve Industry 4.0. Specifically, this study investigates how the internal assimilation and external diffusion of OSIOS help manufactures facilitate process adaptability and alignment in supply chain network.Design/methodology/approachA survey instrument was designed and administrated to collect data for this research. Using three-stage least squares estimation, the authors empirically tested a number of hypothesized relationships based on a sample of 308 manufacturing firms in China.FindingsThe results of the study show that OSIOS can perform as value creation mechanisms to enable process adaptability and alignment. In addition, the impact of OSIOS internal assimilation is inversely U-shaped where the positive effect on process adaptability will become negative after an extremum point is reached.Originality/valueThis study contributes to the existing literature by providing insights on how OSIOS can improve supply chain integration and thus promote the achievement of industry 4.0. By revealing a U-shaped relationship between OSIOS assimilation and process adaptability, this study fills previous research gap by advancing the understanding on the value creation mechanisms of information systems deployment

Green Lean Six Sigma for sustainability improvement: a systematic review and future research agenda

Design/ Methodology/ Approach: To do a systematic analysis of the literature, a systematic literature review methodology has been used in this research work. 140 articles from the reputed databases were identified to explore hidden aspects of GLSS. Exploration of articles in different continents, year-wise, approach-wise, and journal-wise, were also done to find the execution status of GLSS. Purpose: The main purpose of this article is to explore different aspects of the Green Lean Six Sigma approach, application status, and potential benefits from a comprehensive review of the literature and provides an avenue for future research work. The study also provides a conceptual framework for GLSS. Findings: The study depicts that GLSS implementation is increasing year by year, and it leads to considerable improvement in all dimensions of sustainability. Enablers, barriers, tools, and potential benefits that foster the execution of GLSS in industrial organizations are also identified based on a systematic review of the literature. Originality: The study's uniqueness lies in that study is the first of its kind that depicts the execution status of GLSS, and its different facets, explores different available frameworks and provides avenues for potential research in this area for potential researchers and practitioners

Analyzing Students’ Technology Use Motivations: An Interpretive Structural Modeling Approach

Despite being more meaningful and accurate to consider student technology use motivations as a set of interactive needs and expectations, the possible underlying hierarchical relationships among motivations receive little attention. Drawn from Uses and Gratifications (U&G) approach and from Means-End Chain (MEC) theory, this study investigates how student technology use motivations can be represented as a set of interrelated and hierarchically organized elements. A set of relevant data concerning students’ technology use motivations was collected by the Repertory Grid Interview Technique (RGT) and analyzed qualitatively using content analysis. Eleven identified student technology use motivations were structured by adopting interpretive structure modeling (ISM) technique. By using Multiplication Applied to Classification (MICMAC) technique, eleven identified factors were further classified into three different types of variables: means, consequences, and ends. The findings of this study have significant theoretical and practical implications to both researchers and managers

Implementation of Building Information Modeling in Infrastructure Construction : Lessons from Norway and Vietnam

Industrialization, innovation, and infrastructure are important drivers in improving employment and income (United Nations, 2015b). To meet the United Nation’s Sustainable Development Goals by 2030, developing countries need to invest more in research and innovation that aims to improve their infrastructure (United Nations, 2015a). More basic infrastructure, such as roads, information and communication technology (ICT) systems, and electrical power grids, is essential to improving standards of living and protecting the environment in developing countries (ibid.). Construction researchers have found that the use of ICT increases construction efficiency. Adwan and Al-Soufi (2016) classified 21 sets of ICT technologies used in construction, including web-based platforms, Building Information Modeling (BIM) based technologies, CAD- and 3D CAD–based technologies, virtual reality, and video conferencing. Among these, BIM is an information system that facilitates digital collaboration in construction. BIM provides an environment for data sharing based on 3D models, and it has been used to increase productivity and quality of building construction. In the context of transportation infrastructure, BIM reduces errors, provides better understandings of projects, and improves project performance (SmartMarket Report, 2017). In my construction industry experience, 3D modeling was applied to infrastructure projects that include roads, bridges, and railways. 3D models of infrastructure, such as that related to railways (stations and line alignments) and bridges, was used to detect design clashes and support communication with stakeholders. More broadly, BIM implementation is rapidly increasing in the context of infrastructure construction (Bradley et al., 2016), and examples include the integration of 3D infrastructure models with other technologies, such as geographic information systems, global positioning systems, laser scanners, and photogrammetry (Bradley et al., 2016; Costin et al., 2018). Researchers have also reported on BIM applications in different phases of the infrastructure life cycles (ibid.). In general, BIM supports infrastructure construction by reducing costs and risks and increasing reliability (Costin et al., 2018). The trend of rising use shows BIM’s potential to benefit the infrastructure sector. Infrastructure is critical if developing countries are to achieve their Sustainable Development Goals, which motivated me to explore BIM implementation in that context. Since developed countries is leading in BIM use, this thesis explores whether they can learn from the experiences of more advanced countries. To identify useful lessons, I conducted a comparative analysis of BIM implementation in a developed and a developing contexts. Moreover, BIM-related innovation communities were studied to understand how BIM practices can be further strengthened in infrastructure projects. This thesis focused on the following research question: “How can the implementation of Building Information Modelling be improved to support infrastructure projects in a developing context?”publishedVersio

Data Analytics and Knowledge Integration Mechanisms: The Role of Social Interactions in Innovation Management

In a firm, which is viewed as a distributed knowledge system, the role of knowledge integration mechanisms is critical. In the context of data analytics, data mining and statistical analysis enables firms to generate knowledge; which, however, needs to be channeled to the end user of this knowledge. In this study, based on the social capital literature we argue that social interactions between IT and marketing functional unit members facilitate knowledge sharing in intraorganizational setting, which in turn results in improved innovative performance. The theoretical arguments are supported by empirical results collected via an online survey. Theoretical and practical contributions of the study are also discussed

System analysis approach to deriving design criteria (Loads) for Space Shuttle and its payloads. Volume 2: Typical examples

The achievement of an optimized design from the system standpoint under the low cost, high risk constraints of the present day environment was analyzed. Space Shuttle illustrates the requirement for an analysis approach that considers all major disciplines (coupling between structures control, propulsion, thermal, aeroelastic, and performance), simultaneously. The Space Shuttle and certain payloads, Space Telescope and Spacelab, are examined. The requirements for system analysis approaches and criteria, including dynamic modeling requirements, test requirements, control requirements, and the resulting design verification approaches are illustrated. A survey of the problem, potential approaches available as solutions, implications for future systems, and projected technology development areas are addressed

Green Lean Six Sigma Sustainability Oriented Project Selection and Implementation Framework for Manufacturing Industry

Green Lean Six Sigma (GLS) project selection has been done based on the six sustainability-oriented criteria formed from seventeen sub-criteria (found from the literature and developed by authors).The weights of the criteria have been determined through the entropy method. The projects have been ranked based on the criteria through the advanced decision-making approach: Grey relation analysis (GRA). The results of the study were validated using best worst method (BWM) and sensitivity analysis. Purpose: The present study deals with the selection of the sustainability-oriented GLS project for the manufacturing industry in the complex decision-making environment. Moreover, the study also proposes a GLS implementation framework for improved organizational performance. It has been found that the productivity-related criterion is the most significant among other criteria with entropy weight of 0.2721. GRA has been used in this research work to rank the potential GLS projects in a manufacturing industry based on six sustainability criteria, to select a project that exhibits the maximum potential for sustainable improvement. The machine shop has been found as the most significant GLS project with grey relation grade of 0.4742. Originality: With increased globalized competition in recent times, new projects are being considered as the foundation stone for organizational success. The decision making becomes quite complex to select an effective project due to the intriguing nature of various criteria, subcriteria, and different aspects of sustainability. The present study is the first of its kind that provides ways for the selection of sustainability-oriented GLS projects.The present study facilitates practitioners and industrial managers to implement an inclusive GLS approach for improved sustainability dynamics through effective GLS project selection and implementation framework