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1 – 10 of over 139000
Article
Publication date: 8 September 2022

Mahtab Kouhizadeh, Qingyun Zhu and Joseph Sarkis

This study proposes a systematic and comprehensive circular economy (CE) performance measure as an instrument to operationalize and quantify circularity. It seeks to…

Abstract

Purpose

This study proposes a systematic and comprehensive circular economy (CE) performance measure as an instrument to operationalize and quantify circularity. It seeks to evaluate the relative contribution of blockchain technology to evaluate various measures in this study. A general research agenda for investigating blockchain capabilities to performance assessment in CE is presented.

Design/methodology/approach

Empirical survey data from 32 CE and blockchain experts are collected to inform this study. Inductive reasoning, heatmaps, and a middle-range theory building approach are utilized to generalize theoretical patterns for blockchain support of CE performance assessment and measurement. A series of propositions are then developed as a middle-range theory for the true, false, perceptible, and hidden affordances of blockchain technology capabilities for CE performance measurement.

Findings

Overall, sixteen performance measures and metrics are identified and examined. The authors find most of these measures and metrics – based on literature and expert opinion – can be supported using blockchain technology capabilities. Four major blockchain capabilities, transparency and traceability, reliability and security, smart contracts, and incentivization and tokenization are shown to have varying potential support for CE performance assessment. There needs to be an evaluation of true, false, perceptible, and hidden affordances of blockchain technology capabilities for CE performance measurement in future studies.

Originality/value

Blockchain application for CE, and specifically performance measurements, is a new area. Research and practice evaluation on this issue is important but needs substantially additional investigation to help CE progress. This study provides a framework for evaluation and a foundation for future research at the nexus of CE, blockchain technology, and performance measurement.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

Keywords

Open Access
Article
Publication date: 14 September 2022

Petra Pekkanen and Timo Pirttilä

The aim of this study is to empirically explore and analyze the concrete tasks of output measurement and the inherent challenges related to these tasks in a traditional…

Abstract

Purpose

The aim of this study is to empirically explore and analyze the concrete tasks of output measurement and the inherent challenges related to these tasks in a traditional and autonomous professional public work setting – the judicial system.

Design/methodology/approach

The analysis of the tasks is based on a categorization of general performance measurement motives (control-motivate-learn) and main stakeholder levels (society-organization-professionals). The analysis is exploratory and conducted as an empirical content analysis on materials and reports produced in two performance improvement projects conducted in European justice organizations.

Findings

The identified main tasks in the different categories are related to managing resources, controlling performance deviations, and encouraging improvement and development of performance. Based on the results, key improvement areas connected to output measurement in professional public organizations are connected to the improvement of objectivity and fairness in budgeting and work allocation practices, improvement of output measures' versatility and informativeness to highlight motivational and learning purposes, improvement of professional self-management in setting output targets and producing outputs, as well as improvement of organizational learning from the output measurement.

Practical implications

The paper presents empirically founded practical examples of challenges and improvement opportunities related to the tasks of output measurement in professional public organization.

Originality/value

This paper fulfils an identified need to study how general performance management motives realize as concrete tasks of output measurement in justice organizations.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 15 August 2022

Sibei Xia, Jiayin Li, Cynthia L. Istook and Andre J. West

Two-dimensional (2D) measurement technology has become more popular than before, thanks to the widespread availability of smartphones and smart devices. However, most…

Abstract

Purpose

Two-dimensional (2D) measurement technology has become more popular than before, thanks to the widespread availability of smartphones and smart devices. However, most existing 2D body measurement systems have background constraints and may raise privacy concerns. The purpose of this research was to test the idea of designing a 2D measurement system that works with a color-coded measurement garment for background removal and privacy protection. Clothing consumers can use the proposed system for daily apparel shopping purposes.

Design/methodology/approach

A 2D body measurement system was designed and tested. The system adopted a close-fitted color-coded measurement garment and used neural network models to detect the color-code in the garment area and remove backgrounds. In total, 78 participants were recruited, and the collected data were split into training and testing sets. The training dataset was used to train the neural network and statistical prediction models for the 2D system. The testing dataset was used to compare the performance of the 2D system with a commercial three-dimensional (3D) body scanner.

Findings

The results showed that the color-coded measurement garment worked well with the neural network models to process the images for measurement extraction. The 2D measurement system worked better at close-fitted areas than loose-fitted areas.

Originality/value

This research combined a color-coded measurement garment with neural network models to solve the privacy and background challenges of the 2D body measurement system. Other researchers have never studied this approach.

Details

International Journal of Clothing Science and Technology, vol. 34 no. 6
Type: Research Article
ISSN: 0955-6222

Keywords

Article
Publication date: 13 July 2022

Guangrun Sheng, Xixiang Liu, Zixuan Wang, Wenhao Pu, Xiaoqiang Wu and Xiaoshuang Ma

This paper aims to present a novel transfer alignment method based on combined double-time observations with velocity and attitude for ships’ poor maneuverability to…

Abstract

Purpose

This paper aims to present a novel transfer alignment method based on combined double-time observations with velocity and attitude for ships’ poor maneuverability to address the system errors introduced by flexural deformation and installing which are difficult to calibrate.

Design/methodology/approach

Based on velocity and attitude matching, redesigning and deducing Kalman filter model by combining double-time observation. By introducing the sampling of the previous update cycle of the strapdown inertial navigation system (SINS), current observation subtracts previous observation are used as measurements for transfer alignment filter, system error in measurement introduced by deformation and installing can be effectively removed.

Findings

The results of simulations and turntable tests show that when there is a system error, the proposed method can improve alignment accuracy, shorten the alignment process and not require any active maneuvers or additional sensor equipment.

Originality/value

Calibrating those deformations and installing errors during transfer alignment need special maneuvers along different axes, which is difficult to fulfill for ships’ poor maneuverability. Without additional sensor equipment and active maneuvers, the system errors in attitude measurement can be eliminated by the proposed algorithms, meanwhile improving the accuracy of the shipboard SINS transfer alignment.

Details

Assembly Automation, vol. 42 no. 4
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 15 July 2022

Lulu Huang, Xiang Huang and Shuang-Gao Li

The size of the aircraft tooling structure is huge, and the ambient temperature is difficult to maintain a constant state. Aiming at the influence of current temperature…

Abstract

Purpose

The size of the aircraft tooling structure is huge, and the ambient temperature is difficult to maintain a constant state. Aiming at the influence of current temperature, this paper aims to propose a compensation method for registration error of large-scale measurement fields based on multi-temperature sensors.

Design/methodology/approach

In this method, an enhanced reference points (ERS)–temperature regression model is constructed from ERS and temperature data. The ERS offsets compensation model is established by solving the offset through the regression model, and the ERS offset compensation analysis is carried out.

Findings

The experimental results show that the proposed registration error compensation algorithm has obvious advantages over traditional methods in reducing the influence of ambient temperature and improving the measurement accuracy by reducing the registration error.

Originality/value

This method reduces registration error caused by the influence of ambient temperature and is used for aircraft measurements in different temperature environments.

Details

Sensor Review, vol. 42 no. 5
Type: Research Article
ISSN: 0260-2288

Keywords

Open Access
Article
Publication date: 12 August 2022

Bolin Gao, Kaiyuan Zheng, Fan Zhang, Ruiqi Su, Junying Zhang and Yimin Wu

Intelligent and connected vehicle technology is in the ascendant. High-level autonomous driving places more stringent requirements on the accuracy and reliability of…

Abstract

Purpose

Intelligent and connected vehicle technology is in the ascendant. High-level autonomous driving places more stringent requirements on the accuracy and reliability of environmental perception. Existing research works on multitarget tracking based on multisensor fusion mostly focuses on the vehicle perspective, but limited by the principal defects of the vehicle sensor platform, it is difficult to comprehensively and accurately describe the surrounding environment information.

Design/methodology/approach

In this paper, a multitarget tracking method based on roadside multisensor fusion is proposed, including a multisensor fusion method based on measurement noise adaptive Kalman filtering, a global nearest neighbor data association method based on adaptive tracking gate, and a Track life cycle management method based on M/N logic rules.

Findings

Compared with fixed-size tracking gates, the adaptive tracking gates proposed in this paper can comprehensively improve the data association performance in the multitarget tracking process. Compared with single sensor measurement, the proposed method improves the position estimation accuracy by 13.5% and the velocity estimation accuracy by 22.2%. Compared with the control method, the proposed method improves the position estimation accuracy by 23.8% and the velocity estimation accuracy by 8.9%.

Originality/value

A multisensor fusion method with adaptive Kalman filtering of measurement noise is proposed to realize the adaptive adjustment of measurement noise. A global nearest neighbor data association method based on adaptive tracking gate is proposed to realize the adaptive adjustment of the tracking gate.

Details

Smart and Resilient Transportation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2632-0487

Keywords

Article
Publication date: 1 August 2004

Jeh‐Nan Pan

Recently, gauge repeatability and reproducibility (GR&R) study has been highly regarded by the quality practitioners when QS9000 and D19000 become fashionable requirements…

904

Abstract

Recently, gauge repeatability and reproducibility (GR&R) study has been highly regarded by the quality practitioners when QS9000 and D19000 become fashionable requirements for manufacturing industries. Measurement plays a significant role in helping organizations improve their product quality. Good quality of products is the key factor towards business success. Therefore, how to ensure the quality of measurement becomes an important task for quality practitioners. In performing the GR&R study, several parameters, such as the appropriate sample size of parts (n), number of inspectors (p) and replicate measurements (k) are frequently asked by quality personnel in industries. The adequacy of current way of (n, p, k) selection is very questionable. A statistical method using the shortest confidence interval and its associated computer programming algorithm are presented in this paper for evaluating the optimal allocation among sample size of parts (n), number of inspectors (p) and replicate measurements (k). Hopefully, it can provide a useful reference for quality practitioners in industries.

Details

International Journal of Quality & Reliability Management, vol. 21 no. 6
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 18 January 2008

Cory Searcy, Stanislav Karapetrovic and Daryl McCartney

The purpose of this paper is to demonstrate how a systems approach can be used to facilitate the development of an organizational performance measurement system.

3195

Abstract

Purpose

The purpose of this paper is to demonstrate how a systems approach can be used to facilitate the development of an organizational performance measurement system.

Design/methodology/approach

Based on a review of the literature, the paper introduces the implications for applying a systems approach to organizational performance measurement. To demonstrate the transition from theory to practice, a case study is provided to show how a sustainable development performance measurement system was developed at a Canadian electric utility. The case study involved extensive consultation with over 25 experts.

Findings

The paper finds that a systems approach is useful in developing the process and that a set of formal systems criteria is useful in developing the structure and content of a performance measurement system. These concepts are highlighted throughout the case study example.

Research limitations/implications

The case study section was based on findings from a single organization. Further work is required to validate the findings within other organizations.

Practical implications

The paper shows how a robust sustainable development performance measurement system may be developed at an electric utility. The overarching emphasis on integration of the system with the case utility's mainstream initiatives demonstrates that a performance measurement system must build on what the organization already has in place. The systems‐based approach and formal systems criteria used in the paper may be transferable to other organizations.

Originality/value

The paper shows that a systems approach provides both the structure and flexibility needed to guide the design, implementation, and evolution of a sustainable development performance measurement system within existing organizational infrastructure.

Details

International Journal of Productivity and Performance Management, vol. 57 no. 2
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 1 September 1996

R.L. Wood

Draws a comparison between the use of a genetic algorithm and the sequential function specification method for the solution of a one‐dimensional linear inverse thermal…

133

Abstract

Draws a comparison between the use of a genetic algorithm and the sequential function specification method for the solution of a one‐dimensional linear inverse thermal field problem, based on the use of noisy measurements. In solving this problem aims to estimate the value of a single constant convective heat transfer coefficient. Documents the findings that both approaches can provide estimates within 1 per cent of the target solution and that the sensitivity and robustness of each approach to measurement location, time step size and measurement errors are markedly different.

Details

Engineering Computations, vol. 13 no. 6
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 15 March 2013

Sanna Pekkola

The purpose of this paper is to examine how different network members utilize and use network‐level performance measurement information. This is an important approach when

1160

Abstract

Purpose

The purpose of this paper is to examine how different network members utilize and use network‐level performance measurement information. This is an important approach when discussing the management and development of a network by utilizing a performance measurement system.

Design/methodology/approach

The study is a single‐case study, where a collaborative network forms the case. The data of the study have been gathered from an action research process of network performance measurement system design and its implementation phase in 2009, interviews in 2010, and discussions with the interviewees in 2012 to re‐evaluate the results.

Findings

The results of the study reveal that the use of the network‐level performance measurement system increased communication, trust, and commitment in the whole network, as well as in a single reselling unit. The performance measurement information also helped the companies create better alignment with their network partners.

Practical implications

The paper presents the main uses, utilizations and benefits of network‐level performance measurement and management from the perspectives of the different network members.

Originality/value

The case study contributes to the literature of performance measurement and management in a network environment. It presents the main uses and utilization of network‐level performance management and measurement.

Details

Measuring Business Excellence, vol. 17 no. 1
Type: Research Article
ISSN: 1368-3047

Keywords

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