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The purpose of this paper is to inform of the development and use of comprehensive system dynamics model for the formulation of robust strategies in project manufacturing business.

Experiences from action research involving field study with project manufacturing businesses are reported.

It is possible, using readily available resources, to develop comprehensive system dynamics model for project manufacturing business which can be used to facilitate the formulation of robust strategies.

Field study involved only five businesses serving three project manufacturing sectors.

The need for better approaches for dealing with dynamic complexity in project business is recognized in the literature. However, extant models deal with single projects or a few aspects of multiple projects. The research suggests that companies can develop system dynamics models that go beyond multiple projects to encompass broader business issues which cause effects within their projects. Further, such comprehensive models can be used to formulate robust strategies.

The originality of the research reported in this paper is that both immediate sources, and ultimate sources, of dynamic complexity are described. Extant system dynamics models are concerned with either, but not both. Hence, extant models are not comprehensive. That is, they do not encompass the full extent of sources of dynamic complexity in project business. The value of this paper is that it offers practical examples to inform the development of comprehensive system dynamics model for project manufacturing business. Moreover, the use of comprehensive model to facilitate the formulation of robust strategies is explained.

The rotor system supported by the cylindrical roller bearings is widely used in various fields such as aviation, space and machinery due to its importance. In the study of the dynamic characteristics of the cylindrical roller bearings, it is important to accurately calculate the stiffness of the cylindrical roller bearings. The stiffness of the cylindrical roller bearings is very important in the analysis of the vibration characteristics of the rotor system. Therefore, in this paper, the method of creating a comprehensive stiffness model of the cylindrical roller bearing is mentioned. The purpose of this study is to improve the dynamic stability of the rotor system supported by the cylindrical roller bearing by accurately establishing the comprehensive stiffness calculation model of the cylindrical roller bearings.

In consideration of the radial clearance of the cylindrical roller bearing, the radial load acting on the cylindrical roller bearing was derived, and based on this, a model for calculating the Hertz contact stiffness of the cylindrical roller bearing was created. Based on the load considering the radial clearance, an oil film stiffness model of the cylindrical roller bearing was created under the elastohydrodynamic lubrication (EHL) theory. Then, the comprehensive stiffness was calculated by combining Hertz contact stiffness and the oil film stiffness of the cylindrical roller bearing, and the dynamic parameters are calculated by using the MATLAB program.

When the radial clearance of the cylindrical roller bearing is considered, the comprehensive stiffness is larger than when the radial clearance is not taken into account, and the radial clearance of the cylindrical roller bearing is an important factor that directly affects the comprehensive stiffness of the cylindrical roller bearing.

In this paper, based on Hertz contact theory and the EHL theory, the authors investigated the method of creating a comprehensive stiffness model of the cylindrical roller bearing considering the radial clearance. These results will contribute to the theoretical basis for studying the mechanics of cylindrical roller bearings and optimizing their structures, and they will provide an important theoretical basis for analyzing the dynamic characteristics of the rotor system supported by the cylindrical roller bearing.

The purpose of this paper is to investigate the mediating role of comprehensive performance measurement systems (PMS) – i.e. measurement systems that comprise financial and non-financial indicators, and which also consist of indicators related to different aspects of an organisation’s operations – in the relationship between strategy and company performance.

Survey data of top managers of large European companies were collected and analysed by means of exploratory factor analyses and hierarchical regressions in order to validate the proposed hypotheses.

This research shows that different strategies lead to the use of different types of performance indicators. Also, it finds that the utilisation of a comprehensive PMS enables the implementation of both differentiation and cost-leadership strategies. Specifically, a comprehensive PMS positively mediates the effect of differentiation strategy on organisational and innovative performance, and of cost-leadership strategy on organisational performance.

Further research could be undertaken in other contexts and consider additional factors, such as the structure, maturity and different uses of PMS, and the cost of measuring performance. Qualitative studies could examine the role of PMS in dynamic environments, as well as the evolution of PMS during strategic transitions.

Greater consideration should be given to the utilisation of different types of performance indicators when implementing and re-formulating strategy.

This study clarifies the links between strategy and performance measurement, and it is the first to identify the mediating effect of comprehensive PMS between strategy and company performance.

A comprehensive and computationally efficient modeling strategy for the rapid and accurate simulation of implanted impurity distribution profiles in single‐crystal silicon has been developed. This modeling strategy exploits the advantages of both Monte Carlo simulation and semi‐empirical models by combining the two approaches in a complementary manner. The dual Pearson semi‐empirical model is used to accurately and efficiently model the dose and implant angle dependence of impurity profiles as well as the dependence on energy. This new comprehensive model allows convenient and accurate simulation of implanted boron distribution profiles in single‐crystal silicon as a function of dose, tilt angle, and rotation angle, in addition to ion energy, and it has been demonstrated by implementation in the process simulation code SUPREM III.

This study provides a safety prewarning mechanism, which includes a comprehensive risk assessment model and a safety prewarning system. The comprehensive risk assessment model is capable of assessing nine safety indicators, which can be categorised into workers’ behaviour, environment and machine-related safety indicators, and the model is embedded in the safety prewarning system. The safety prewarning system can automatically extract safety information from surveillance cameras based on computer vision, assess risks based on the embedded comprehensive risk assessment model, categorise risks into five levels and provide timely suggestions.

Firstly, the comprehensive risk assessment model is constructed by adopting grey multihierarchical analysis method. The method combines the Analytic Hierarchy Process (AHP) and the grey clustering evaluation in the grey theory. Expert knowledge, obtained through the questionnaire approach, contributes to set weights of risk indicators and evaluate risks. Secondly, a safety prewarning system is developed, including data acquisition layer, data processing layer and prewarning layer. Computer vision is applied in the system to automatically extract real-time safety information from the surveillance cameras. The safety information is then processed through the comprehensive risk assessment model and categorized into five risk levels. A case study is presented to verify the proposed mechanism.

Through a case study, the result shows that the proposed mechanism is capable of analyzing integrated human-machine-environment risk, timely categorising risks into five risk levels and providing potential suggestions.

The comprehensive risk assessment model is capable of assessing nine risk indicators, identifying three types of entities, workers, environment and machine on the construction site, presenting the integrated risk based on nine indicators. The proposed mechanism, which adopts expert knowledge through Building Information Modeling (BIM) safety simulation and extracts safety information based on computer vision, can perform a dynamic real-time risk analysis, categorize risks into five risk levels and provide potential suggestions to corresponding risk owners. The proposed mechanism can allow the project manager to take timely actions.

The paper aims to sum up the principal and original set of information related to the special project covered by Czech Ministry of Education, Youth and Sports, which was oriented to quality assurance and assessment at Czech higher education institutions. It brings main results and lessons learned from comprehensive quality assessment methodology pilot testing.

Brainstorming conferences, seminars, comparative analysis, interviews, design review and validation were used by the expert team to develop and to test the comprehensive quality assessment methodology.

The EFQM Excellence Model is the most comprehensive tool for quality assurance and quality assessment. It is pragmatic and practical, but it is necessary to adapt this model for effective use at Czech higher education institutions as a set of assessment criteria. The comprehensive quality assessment approach does not only examine what universities and other higher schools have achieved in the past (through lagging indicators), but it also includes assessment of their potential for the future through the so-called leading indicators.

The pilot testing of designed methodology of comprehensive quality assessment was performed within 12 Czech higher education institutions, but the lessons learned have common validity for any Czech higher education institution.

The proposed methodology of comprehensive quality assessment is a quite new approach from the point of Czech higher education institutions view. It offers new and efficient tool for next higher schools and universities development.

School districts are ongoing organizations which have staffs and organizational structures committed to stabilizing and maintaining their present activities and programs. The authors have attempted to draw together the kinds of information needed to help school district administrators view their organization in a way which examines the consequences of decisions for all of the goals and objectives of the district. This view, which has been labeled comprehensive, is designed to move the administration of the district from solving problems one‐at‐a‐time to an assessment of the complete goal‐activity picture. Implications of a comprehensive approach to school district administration for staff development as well as university and college preparation of administrators are, in the judgment of the authors, substantial.

Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.

Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.

The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.

By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

Considering the importance and the broad applications of the Fourth Industrial Revolution in various organizations and industries and enjoying the many benefits of this digital transformation framework, organizations need to measure their Industry 4.0 readiness as a starting point and take steps to achieve the strategic goals of Industry 4.0. This study aims to design a comprehensive and practical model that can determine Industry 4.0 readiness level, allowing organizations to implement and exploit technological constituents of this phenomenon.

A systematic literature review (SLR) methodology was used to evaluate and summarize a clear and comprehensive literature overview of Industry 4.0 readiness models and to certify the validity and transparency of the review process. After reviewing 71 articles and survey and then the consensus of Industry 4.0 experts, the 10 dimensions of the 4.0 Industry readiness model were finalized with their indicators having the most frequency in the published articles and models.

The application of the SLR to the development of the new Industry 4.0 readiness model which includes 10 dimensions and 37 indicators and can assess the Industry 4.0 readiness of firms and industries accurately and effectively.

An extensive review of the previous literature yielded the current Industry 4.0 readiness model. The comprehensiveness of this model leads to its wide application in different companies. Future research suggestions are presented at the end of the manuscript.

The concept of the Fourth Industrial Revolution and the application of its technologies are vague and complicated for many organizations and managers, while the need to implement the components and technologies of Industry 4.0 is essential to achieve organizational goals. The presented readiness model helps companies to measure their readiness to enter the Fourth Industrial Revolution and achieve long-term goals.

In this study, an attempt was made to examine the Industry 4.0 readiness models thoroughly and extensively and identify their different approaches. Finally, a comprehensive and multi-dimensional readiness model is presented to assess the position of organizations in order to enter Industry 4.0.

The purpose of this paper is to provide empirical evidence regarding the relationship between the level of comprehensiveness of a performance measurement system (PMS) and its respective organizational effectiveness. The extant literature has highlighted that a PMS may successfully contribute to the implementation of the organizational strategy, with the balanced scorecard (BSC) serving as an exemplar of a strategy performance management tool and playing a primary role to this end. However, the reasons for the overall high rate of failure in the implementation of the BSC remain unexplained and, to date, little empirical research exists regarding the design of PMSs such as the BSC and its constituent elements.

Using a survey of 103 Italian managers, the paper advances a model describing a comprehensive BSC design, after identifying the key attributes from the performance management literature. Data were analyzed using cluster analysis and multiple regression analysis.

Results suggest that organizations are implementing the BSC following two different approaches, which vary from a less comprehensive to a more comprehensive design. More importantly, the BSC design explains variation across three organizational effectiveness measures: improvements in translating the organizational strategy into operational goals, understanding cause–effect relationships and enhancing internal communication among employees.

The paper builds on and extends the previous literature on performance management in two ways. First, via a literature review, it introduces a model describing a comprehensive BSC design, which includes 12 attributes. Second, it demonstrates that organizational effectiveness varies positively with the level of comprehensiveness of the BSC design.