Uncertainty analysis and evaluation of measurement of the positioning repeatability for industrial robots

2018 ◽  
Vol 45 (4) ◽  
pp. 492-504 ◽  
Author(s):  
Yang Chuangui ◽  
Liu Xingbao ◽  
Yue Xiaobin ◽  
Mi Liang ◽  
Wang Junwen ◽  
...  
Keyword(s):  
Probability Distribution Function ◽  
Design Methodology ◽  
Industrial Robot ◽  
Measurement Model ◽  
Measurement Procedure ◽  
Industrial Robots ◽  
Key Factors ◽  
Content Type ◽  
Normal Distributions ◽  
Analysis And Evaluation

PurposeThis paper aims to solve the nonlinear problem in the uncertainty evaluation of the measurement of the positioning repeatability (RP) of industrial robots and provide guidance to restrict the uncertainty of measurement of RP (uRP).Design/methodology/approachFirstly, some uncertain sources existing in the measurement procedure of RP are identified. Secondly, the probability distribution function (PDF) of every source is established on the basis of its measurements. Some spatial combined normal distributions are adopted. Then, a method, based on Monte Carlo method (MCM) and established measurement model, is developed for the estimation ofuRP. Thirdly, some tests are developed for the identification and validation of the selected PDFs of uncertain sources. Afterwards, the proposed method is applied for the evaluation and validation of theuRP. Finally, influence analyses of some key factors are proposed for the quantification of their relative contributions touRP.FindingsResults show that the proposed method can reasonably and objectively estimate theuRPof the selected industrial robot, and changes of the industrial robots’ position and the laser trackers measurement are correlated. Additionally, theuRPof the selected industrial robot can be restricted by using the results of its key factors onuRP.Originality/valueThis paper proposes the spatial combined normal distribution to model the uncertainty of the repeatability of the laser tracker and industrial robot. Meanwhile, the proposed method and influence analyses can be used in estimating and restricting theuRPand thus useful in determining whether the RP of a tested industrial robot meets its requirements.

Uncertainty evaluation of measurement of orientation repeatability for industrial robots

2020 ◽  
Vol 47 (2) ◽  
pp. 207-217
Author(s):  
Yang Chuangui ◽  
Mi Liang ◽  
Liu Xingbao ◽  
Xia Yangqiu ◽  
Qiang Teng ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Linear Problem ◽  
Industrial Robot ◽  
Measurement Model ◽  
Industrial Robots ◽  
Uncertainty Evaluation ◽  
Laser Tracker ◽  
Uncertainty Of Measurement ◽  
Content Type ◽  
Non Linear

Purpose This paper aims to propose a reasonable method to evaluate uncertainty of measurement of industrial robots’ orientation repeatability and solve the non-linear problem existing in its evaluation procedure. Design/methodology/approach Firstly, a measurement model of orientation repeatability, based on laser tracker, is established. Secondly, some factors, influencing the measurement result of orientation repeatability, are identified, and their probability distribution functions are modelled. Thirdly, based on Monte Carlo method, an uncertainty evaluation model and algorithm of measurement of industrial robot’s orientation repeatability are built. Finally, an industrial robot is taken as the research object to validate the rationality of proposed method. Findings Results show that the measurement model of orientation repeatability of industrial robot is non-linear, and the proposed method can reasonably and objectively estimate uncertainty of measurement of industrial robots’ orientation repeatability. Originality/value This paper, based on Monte Carlo method and experimental work, proposes an uncertainty evaluation method of measurement of industrial robots’ orientation repeatability which can solve the non-linear problem and provide a reasonable and objective evaluation. And the stochastic ellipsoid approach is firstly taken to model the repeatability of laser tracker. Additionally, this research is beneficial to decide whether the orientation repeatability of the industrial robot meets its requirements.

A four-point measurement model for evaluating the pose of industrial robot and its influence factor analysis

2017 ◽  
Vol 44 (3) ◽  
pp. 343-352 ◽  
Author(s):  
Chuangui Yang ◽  
Junwen Wang ◽  
Liang Mi ◽  
Xingbao Liu ◽  
Yangqiu Xia ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Measurement Uncertainty ◽  
Measurement Accuracy ◽  
Influence Factor ◽  
Industrial Robot ◽  
Measurement Model ◽  
Industrial Robots ◽  
Content Type ◽  
Point Measurement ◽  
Proposed Model

Purpose This paper aims to propose a four-point measurement model for directly measuring the pose (i.e. position and orientation) of industrial robot and reducing its calculating error and measurement uncertainty. Design/methodology/approach A four-point measurement model is proposed for directly measuring poses of industrial robots. First, this model consists of a position measurement model and an orientation model gotten by the position of spherically mounted reflector (SMR). Second, an influence factor analysis, simulated by Monte Carlo simulation, is performed to investigate the influence of certain factors on the accuracy and uncertainty. Third, comparisons with the common method are carried out to verify the advantage of this model. Finally, a test is carried out for evaluating the repeatability of five poses of an industrial robot. Findings In this paper, results show that the proposed model is better than the three-SMRs model in measurement accuracy, measurement uncertainty and computational efficiency. Moreover, both measurement accuracy and measurement uncertainty can be improved by using the proposed influence laws of its key parameters on the proposed model. Originality/value The proposed model can measure poses of industrial robots directly, accurately and effectively. Additionally, influence laws of key factors on the accuracy and uncertainty of the proposed model are given to provide some guidelines for improving the performance of the proposed model.

Qualitative generalising in accounting research: concepts and strategies

2016 ◽  
Vol 29 (6) ◽  
pp. 1100-1131 ◽  
Author(s):  
Lee D. Parker ◽  
Deryl Northcott
Keyword(s):  
Design Methodology ◽  
Research Literature ◽  
Key Factors ◽  
General Applicability ◽  
Information Systems Management ◽  
Content Type ◽  
Accounting Research ◽  
Research Findings ◽  
Quality Of Research

Purpose – The purpose of this paper is to identify and articulate concepts and approaches to qualitative generalisation that will offer qualitative accounting researchers avenues for enhancing and justifying the general applicability of their research findings and conclusions. Design/methodology/approach – The study and arguments draw from multidisciplinary approaches to this issue. The analysis and theorising is based on published qualitative research literatures from the fields of education, health sciences, sociology, information systems, management and marketing, as well as accounting. Findings – The paper develops two overarching generalisation concepts for application by qualitative accounting researchers. These are built upon a number of qualitative generalisation concepts that have emerged in the multidisciplinary literatures. It also articulates strategies for enhancing the generalisability of qualitative accounting research findings. Research limitations/implications – The paper provides qualitative accounting researchers with understandings, arguments and justifications for the generalisability of their research and the related potential for wider accounting and societal contributions. It also articulates the key factors that impact on the quality of research generalisation that qualitative researchers can offer. Originality/value – This paper presents the most comprehensively sourced and developed approach to the concepts, strategies and unique deliverables of qualitative generalising hitherto available in the accounting research literature.

Optimization design of drive system for industrial robots based on dynamic performance

2017 ◽  
Vol 44 (6) ◽  
pp. 765-775 ◽  
Author(s):  
LianZheng Ge ◽  
Jian Chen ◽  
Ruifeng Li ◽  
Peidong Liang
Keyword(s):  
Optimization Model ◽  
Optimization Problem ◽  
Industrial Robot ◽  
Dynamic Performance ◽  
System Optimization ◽  
Drive System ◽  
Industrial Robots ◽  
Mixed Integer ◽  
Light Weight ◽  
Content Type

Purpose The global performance of industrial robots partly depends on the properties of drive system consisting of motor inertia, gearbox inertia, etc. This paper aims to deal with the problem of optimization of global dynamic performance for robotic drive system selected from available components. Design/methodology/approach Considering the performance specifications of drive system, an optimization model whose objective function is composed of working efficiency and natural frequency of robots is proposed. Meanwhile, constraints including the rated and peak torque of motor, lifetime of gearbox and light-weight were taken into account. Furthermore, the mapping relationship between discrete optimal design variables and component properties of drive system were presented. The optimization problem with mixed integer variables was solved by a mixed integer-laplace crossover power mutation algorithm. Findings The optimization results show that our optimization model and methods are applicable, and the performances are also greatly promoted without sacrificing any constraints of drive system. Besides, the model fits the overall performance well with respect to light-weight ratio, safety, cost reduction and others. Practical implications The proposed drive system optimization method has been used for a 4-DOF palletizing robot, which has been largely manufactured in a factory. Originality/value This paper focuses on how the simulation-based optimization can be used for the purpose of generating trade-offs between cost, performance and lifetime when designing robotic drive system. An applicable optimization model and method are proposed to handle the dynamic performance optimization problem of a drive system for industrial robot.

The role of salesperson brand selling confidence in enhancing important sales management outcomes: a social identity approach

2018 ◽  
Vol 33 (3) ◽  
pp. 277-290 ◽  
Author(s):  
Bashar S. Gammoh ◽  
Michael L. Mallin ◽  
Ellen Bolman Pullins ◽  
Catherine M. Johnson
Keyword(s):  
Job Satisfaction ◽  
Cross Section ◽  
Design Methodology ◽  
Sales Management ◽  
Measurement Model ◽  
Content Type ◽  
The Impact ◽  
The Relationship ◽  
Social Identity Approach

Purpose The purpose of the study is to address the gap in understanding how the brand influences sales outcomes by focusing one’s attention on the salesperson perceptions of the brand and the salesperson brand selling confidence. Design/methodology/approach The study uses a cross-section survey of professional salespeople. SmartPLS was used to estimate the measurement model and test the hypothesized path relationships. Findings The study’s results indicate that salespeople who believe in the strength of the brands they represent are more likely to identify with the brand, are more confident in selling the brand and, overall, tend to perform better, have higher job satisfaction and are more committed to their companies. Originality/value This paper contributes to the sales literature by further exploring the relationship between the brand and sales function in the firm. This area has recently received academic attention but has not yet considered the mediating processes that connect the two areas. This study identifies perceptions of brand strength and brand selling confidence as mechanisms that mediate the impact of brand on sales outcomes.

Optimisation of resource management in construction projects: a big data approach

2019 ◽  
Vol 16 (2) ◽  
pp. 82-93 ◽  
Author(s):  
Habeeb Kusimo ◽  
Lukumon Oyedele ◽  
Olugbenga Akinade ◽  
Ahmed Oyedele ◽  
Sofiat Abioye ◽  
...  
Keyword(s):  
Big Data ◽  
Resource Management ◽  
Construction Industry ◽  
Construction Projects ◽  
Design Methodology ◽  
Key Factors ◽  
Content Type ◽  
Management Processes ◽  
Qualitative Research Methodology ◽  
The Uk

Purpose The purpose of this paper is to identify challenges faced in resource management in the UK construction industry and to propose some solutions to these problems. Design/methodology/approach Based on a qualitative research methodology, 14 experts from the UK construction industry were chosen to be participants in the study. The participants were equally divided into two focus groups to discuss resource management using five projects as case studies. Thematic analysis of the discussion reveals seven key factors that affect resource management. Findings The results show that most of the problems identified are due to poor data management processes and the practice of having data in silos. Overcoming this challenge requires the adoption of big data approaches for resource management to allow the integration of large and different forms of data. Originality/value This study seeks to bring to the fore challenges faced in resource management by the UK construction industry and to outline some solutions to address them.

scholarly journals The use of product scarcity in marketing

2020 ◽  
Vol 54 (2) ◽  
pp. 380-418 ◽  
Author(s):  
Xiaohui Shi ◽  
Feng Li ◽  
Pattarin Chumnumpan
Keyword(s):  
Systematic Review ◽  
Design Methodology ◽  
Future Research ◽  
Key Factors ◽  
Research Papers ◽  
Diverse Range ◽  
Content Type ◽  
The Core ◽  
New Directions ◽  
Business And Management

Purpose As a frequently observed business phenomenon, the use of product scarcity to improve a product’s market performance has received increasing attention from both academics and practitioners. The resulting literature has covered a wide variety of issues based on various theories, using different research methods, in a diverse range of settings. However, this diversity also makes it difficult to grasp the core themes and findings, and to see the outstanding knowledge gaps. This paper aims to review previous studies on the use of product scarcity in marketing and identifies new directions for future research. Design/methodology/approach A systematic review was conducted to identify and analyse 66 research papers published in business and management journals between 1970 and 2017. Findings The authors examined the underlying theories of scarcity-based marketing, and developed a conceptual framework that describes the key factors of product scarcity and how they influence both consumers and the market. They also highlighted some key achievements in modelling the processes involved in using product scarcity in marketing. Originality/value This analysis of the identified papers suggests that there are substantial gaps in our knowledge of this field, which opens up new paths for future research. For future research, the authors identified three directions aimed at: addressing the practical needs of firms in understanding product scarcity; guiding the implementation of scarcity-based strategies; and measuring, monitoring and predicting the level of product scarcity and its impacts during implementation.

Possible key factors for Brazilian publicly traded companies to adopt a sponsorship strategy

2019 ◽  
Vol 12 (4) ◽  
pp. 429-446
Author(s):  
Jessica Nunes de Alcântara ◽  
Gideon Carvalho de Benedicto ◽  
Sabrina Soares da Silva
Keyword(s):  
Design Methodology ◽  
Secondary Data ◽  
Industry Concentration ◽  
Key Factors ◽  
Publicly Traded ◽  
Socially Responsible ◽  
Sport Sponsorship ◽  
Resource Based View ◽  
Content Type ◽  
Publicly Traded Companies

Purpose The purpose of this paper is to identify organizational and industrial characteristics of publicly traded Brazilian firms with sport and cultural sponsorships. Design/methodology/approach Secondary data, as organization variables and industry level variables, were sourced from Economatica®. The data were analyzed using logistic regression. Findings Both size and asset profitability were associated with a sponsorship strategy. Both industry concentration and company size are positively related to both cultural and sport sponsorship strategies. Research limitations/implications The findings in this paper provide support to resource-based view and SPC theories. The notable limitation of the study is the reliance on non-standardized social reporting. Originality/value This paper fulfills an identified need to study the importance for sponsorship to companies’ performance. The adoption of sponsorship strategies has been growing in Brazil and becoming more and more important for sponsor companies’ performance and in developing these industries, sport and creative. Through culture and sports, companies try to add value to their brands, delivering a socially responsible image to the audience.

scholarly journals A new joint friction model for parameter identification and sensor-less hand guiding in industrial robots

2020 ◽  
Vol 47 (6) ◽  
pp. 847-857
Author(s):  
Guanghui Liu ◽  
Qiang Li ◽  
Lijin Fang ◽  
Bing Han ◽  
Hualiang Zhang
Keyword(s):  
Industrial Robot ◽  
Angular Displacement ◽  
Weighted Least Squares ◽  
Friction Model ◽  
Industrial Robots ◽  
Model Parameters ◽  
Dynamic Parameters ◽  
Content Type ◽  
Joint Friction ◽  
Six Dof

Purpose The purpose of this paper is to propose a new joint friction model, which can accurately model the real friction, especially in cases with sudden changes in the motion direction. The identification and sensor-less control algorithm are investigated to verify the validity of this model. Design/methodology/approach The proposed friction model is nonlinear and it considers the angular displacement and angular velocity of the joint as a secondary compensation for identification. In the present study, the authors design a pipeline – including a manually designed excitation trajectory, a weighted least squares algorithm for identifying the dynamic parameters and a hand guiding controller for the arm’s direct teaching. Findings Compared with the conventional joint friction model, the proposed method can effectively predict friction factors during the dynamic motion of the arm. Then friction parameters are quantitatively obtained and compared with the proposed friction model and the conventional friction model indirectly. It is found that the average root mean square error of predicted six joints in the proposed method decreases by more than 54%. The arm’s force control with the full torque using the estimated dynamic parameters is qualitatively studied. It is concluded that a light-weight industrial robot can be dragged smoothly by the hand guiding. Practical implications In the present study, a systematic pipeline is proposed for identifying and controlling an industrial arm. The whole procedure has been verified in a commercial six DOF industrial arm. Based on the conducted experiment, it is found that the proposed approach is more accurate in comparison with conventional methods. A hand-guiding demo also illustrates that the proposed approach can provide the industrial arm with the full torque compensation. This essential functionality is widely required in many industrial arms such as kinaesthetic teaching. Originality/value First, a new friction model is proposed. Based on this model, identifying the dynamic parameter is carried out to obtain a set of model parameters of an industrial arm. Finally, a smooth hand guiding control is demonstrated based on the proposed dynamic model.

The “right” wine taster

2019 ◽  
Vol 121 (3) ◽  
pp. 675-696 ◽  
Author(s):  
Emma Juaneda-Ayensa ◽  
Cristina Olarte-Pascual ◽  
Eva Reinares-Lara ◽  
Pedro Reinares-Lara
Keyword(s):  
Market Orientation ◽  
Purchase Intention ◽  
Design Methodology ◽  
Measurement Model ◽  
Content Type ◽  
Strategic Option ◽  
Wine Market ◽  
The Right ◽  
Sequential Studies ◽  
Practical Implications

PurposeThe theory of emergent nature argues that the “right” people have a unique ability to imagine and envision how products might be developed so that they can be successful in the marketplace. The purpose of this paper is to apply this theory to the wine market to evaluate the ability of wine tasters with the “right” profile (i.e. high in emergent nature) to identify benefits applicable to the development of a new wine.Design/methodology/approachTwo sequential studies were performed to collect data: a qualitative study of a sample of 44 professional wine tasters to identify the “right” profile and a quantitative study, with a sample of 1,126 consumers, to assess the value of the benefits proposed by the wine tasters in terms of purchase intention. The validation of the measurement model was carried out using the variance-based partial least squares (PLS) technique.FindingsTwo types of wine tasters were identified, normal and “right”. The “right” wine tasters were more and better able to develop arguments for the innovation and market orientation of the wine.Practical implicationsIn the context of the wine market, identifying expert wine tasters with the “right” profile is a strategic option to improve innovation and market orientation in the development of commercially viable wines.Originality/valueThis pioneering research validates, in the wine market, a proven methodology used in other markets, which makes it possible to identify expert wine tasters high in emergent nature. These “right” expert tasters identify benefits that can have a decisive effect on purchase intention.

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