Design of prototype simulation system for driving performance of electromagnetic unmanned robot applied to automotive test

2015 ◽  
Vol 42 (1) ◽  
pp. 74-82 ◽  
Author(s):  
Gang Chen ◽  
Wei-gong Zhang
Keyword(s):  
Real Time ◽  
Control Program ◽  
Driving Performance ◽  
Simulation System ◽  
Future Research ◽  
Dynamics Model ◽  
Test Vehicle ◽  
Content Type ◽  
Longitudinal Dynamics ◽  
Driving Conditions

Purpose – The purpose of this paper is to present a prototype simulation system for driving performance of an electromagnetic unmanned robot applied to automotive test (URAT) to solve that it is difficult and dangerous to online debug control program and to quickly obtain test vehicle dynamic performance. Design/methodology/approach – The driving performance of the electromagnetic URAT can be evaluated by the prototype simulation system. The system can simulate various driving conditions of test vehicles. An improved vehicle longitudinal dynamics model matching to the electromagnetic URAT is established. The proposed model has good real-time, and it is easy to implement. The displacement of throttle mechanical leg, brake mechanical leg, clutch mechanical leg and shift mechanical arm is used for the system input. Test vehicle speed and engine speed are used for the system output, and they are obtained by the computation of the established vehicle longitudinal dynamics model. Findings – Driving conditions simulation test and vehicle emission test are performed using a Ford Focus car. Simulation and experiment results show that the proposed prototype simulation system in the paper can simulate the driving conditions of actual vehicles, and the performance that electromagnetic URAT drives an actual vehicle is evaluated by the simulation system. Research limitations/implications – Future research will focus on improving the real time of the proposed simulation system. Practical implications – The autonomous driving performance of electromagnetic URAT can be evaluated by the proposed prototype simulation system. Originality/value – A prototype simulation system for driving performance of an electromagnetic URAT based on an improved vehicle longitudinal dynamics model is proposed in this paper, so that it can solve the difficulty and danger of online debugging control program, quickly obtaining the test vehicle performance.

Driving performance grading and analytics: learning internal indicators and external factors from multi-source data

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiandong Zhou ◽  
Xiang Li ◽  
Xiande Zhao ◽  
Liang Wang
Keyword(s):  
Real Time ◽  
Data Analytics ◽  
Driving Performance ◽  
External Factors ◽  
Vehicle Body ◽  
Grading System ◽  
Modern Logistics ◽  
Logistics Industry ◽  
Content Type ◽  
Driving Behaviour

PurposeThe purpose of this paper is to deal with the practical challenge faced by modern logistics enterprises to accurately evaluate driving performance with high computational efficiency under the disturbance of road smoothness and to identify significantly associated performance influence factors.Design/methodology/approachThe authors cooperate with a logistics server (G7) and establish a driving grading system by constructing real-time inertial navigation data-enabled indicators for both driving behaviour (times of aggressive speed change and times of lane change) and road smoothness (average speed and average vibration times of the vehicle body).FindingsThe developed driving grading system demonstrates highly accurate evaluations in practical use. Data analytics on the constructed indicators prove the significances of both driving behaviour heterogeneity and the road smoothness effect on objective driving grading. The methodologies are validated with real-life tests on different types of vehicles, and are confirmed to be quite effective in practical tests with 95% accuracy according to prior benchmarks. Data analytics based on the grading system validate the hypotheses of the driving fatigue effect, daily traffic periods impact and transition effect. In addition, the authors empirically distinguish the impact strength of external factors (driving time, rainfall and humidity, wind speed, and air quality) on driving performance.Practical implicationsThis study has good potential for providing objective driving grading as required by the modern logistics industry to improve transparent management efficiency with real-time vehicle data.Originality/valueThis study contributes to the existing research by comprehensively measuring both road smoothness and driving performance in the driving grading system in the modern logistics industry.

Blockchain technology development and implementation for global logistics operations: a reference model perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rukshanda Kamran ◽  
Nasreen Khan ◽  
Balan Sundarakani
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Reference Model ◽  
Process Efficiency ◽  
Future Research ◽  
Logistics Industry ◽  
Content Type ◽  
Traceability System ◽  
Blockchain Technology ◽  
Global Logistics

Purpose Blockchain technology offers a lot of potential benefits in supply chain management. However, there is a need of a reference model which addresses the gaps in existing frameworks. This paper aims to propose a blockchain technology-based reference model which can be applied to global logistics operations. Design/methodology/approach The researchers have integrated the fit-for-purpose theoretical framework and prototyping methodology to design the reference model, a blockchain-based logistics, tracking and traceability system (BLTTS). The researchers demonstrated the application of the reference model through a health-care supply chain case study. The proposed BLTTS can be implemented across global logistics operations for business performance improvement. Findings The research provides a framework and recommendations for global companies to consider when adopting the blockchain technology for implementation. The researchers found that the Ethereum blockchain technology improves security of the data shared within the block through the secure hashing algorithm 1. The hash algorithm ensures anonymity of the involved parties. The model integrates blockchain with supply chain thus creating transparent process, efficiency and real-time communication. Research limitations/implications The reference model will offer a better solution to global logistics operations challenges. It provides recommendations to key stakeholders involved in logistics operations segment of the logistics industry while adopting blockchain technology. Apart from the methodological limitation of the study, the system compatibility and the layer configuration aspects might be posing potential challenges while upscaling the implementation. Originality/value The proposed reference model overcomes the drawbacks of existing models as it integrates Ethereum technology. In addition, the researchers have applied the model to demonstrate its functioning in real-time environment, which could guide for future research.

scholarly journals Construction worker productivity in hot and humid weather conditions

2019 ◽  
Vol 27 (1) ◽  
pp. 83-108
Author(s):  
Ammar Saeed Mohammed Moohialdin ◽  
Fiona Lamari ◽  
Marc Miska ◽  
Bambang Trigunarsyah
Keyword(s):  
Real Time ◽  
Construction Industry ◽  
Productivity Loss ◽  
Weather Conditions ◽  
Research Field ◽  
Future Research ◽  
Time Data ◽  
Worker Productivity ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper shows the effect of hot and humid weather conditions (HHWCs) on workers that has resulted in considerable loss in the construction industry, especially during the hottest periods due to decline in worker productivity (WP). Until the last few decades, there is very limited research on construction WP in HHWCs. Nevertheless, these studies have sparked interests on seeking for the most appropriate methods to assess the impact of HHWCs on construction workers. Design/methodology/approach This paper begins by reviewing the current measuring methods on WP in HHWCs, follows by presenting the potential impact of HHWCs on WP. The paper highlights the methodological deficiencies, which consequently provides a platform for scholars and practitioners to direct future research to resolve the significant productivity loss due to global warming. This paper highlights the need to identify the limitations and advantages of the current methods to formulate a framework of new approaches to measure the WP in HHWCs. Findings Results show that the methods used in providing real-time response on the effects of HHWCs on WP in construction at project, task and crew levels are limited. An integration of nonintrusive real-time monitoring system and local weather measurement with real-time data synchronisation and analysis is required to produce suitable information to determine worker health- and safety-related decisions in HHWCs. Originality/value The comprehensive literature review makes an original contribution to WP measurements filed in HHWCs in the construction industry. Results of this review provide researchers and practitioners with an insight into challenges associated with the measurements methods and solving practical site measurements issues. The findings will also enable the researchers and practitioners to bridge the identified research gaps in this research field and enhance the ability to provide accurate measures in HHWCs. The proposed research framework may promote potential improvements in the productivity measurements methods, which support researchers and practitioners in developing new innovative methods in HHWCs with the integration of the most recent monitoring technologies.

Innovation approach to detect the faults in multidimensional dynamic systems

Kybernetes ◽  
2010 ◽  
Vol 39 (1) ◽  
pp. 127-139 ◽  
Author(s):  
Chingiz Hajiyev ◽  
Ali Okatan
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Dynamic Systems ◽  
Detection Algorithm ◽  
Statistical Characteristics ◽  
Sensor Faults ◽  
Content Type ◽  
Longitudinal Dynamics ◽  
Mean And Variance ◽  
The Mean

PurposeThe purpose of this paper is to design the fault detection algorithm for multidimensional dynamic systems using a new approach for checking the statistical characteristics of Kalman filter innovation sequence.Design/methodology/approachThe proposed approach is based on given statistics for the mathematical expectation of the spectral norm of the normalized innovation matrix of the Kalman filter.FindingsThe longitudinal dynamics of an aircraft as an example is considered, and detection of various sensor faults affecting the mean and variance of the innovation sequence is examined.Research limitations/implicationsA real‐time detection of sensor faults affecting the mean and variance of the innovation sequence, applied to the linearized aircraft longitudinal dynamics, is examined. The non‐linear longitudinal dynamics model of an aircraft is linearized. Faults affecting the covariances of the innovation sequence are not considered in the paper.Originality/valueThe proposed approach permits simultaneous real‐time checking of the expected value and the variance of the innovation sequence and does not need a priori information about statistical characteristics of this sequence in the failure case.

Engaging university students in an ESL live broadcast

2020 ◽  
Vol 38 (1) ◽  
pp. 28-43
Author(s):  
Lih-Juan ChanLin
Keyword(s):  
Real Time ◽  
Future Research ◽  
Community Members ◽  
Culture Learning ◽  
Content Type ◽  
Language And Culture ◽  
Diverse Learning ◽  
Live Broadcast ◽  
External Incentives ◽  
The University

Purpose This study aims to analyze the engagement of community members in an English as a second language (ESL) live broadcast. A platform for encouraging language and culture learning in ESL was planned and implemented. Research purposes were to explore the following aspects for engaging students’ participation: operation-monitoring, planning and implementation, incentives and motives, interactions with multiple formats and challenges. Design/methodology/approach The platform used for the ESL live broadcast was Open Broadcaster Software Studio. Through the live videos and instant messages delivered by the network, real-time interactions from different virtual sites were achieved. Observations and operation documentation were recorded. Interviews with the teacher, the library administrator and the students were carried out for collecting data. Inductive analysis was used to analyze the qualitative data from the different sources. Findings It was observed that the ESL broadcast reached a great number of users weekly. To engage the ESL broadcast community, efforts to monitor and plan for implementation were made. Students were encouraged by both external incentives and internal motivation. Managing the connectivity problems was essential for guaranteeing the quality of the real-time interactions. From their experiences, the participants were positive about the broadcast approach to learning ESL. More diverse topics and alternatives for oral interactions in the class are suggested in future implementations. Research limitations/implications The implementation of the ESL live broadcast provides a model for inviting members within the university community to engage in the language and culture learning. The research is preliminary and is limited to a specific university. Future research on diverse learning settings is needed. Originality/value The findings of this study will contribute to the research in streaming media interactions. The case might be applied to other settings and other subject domains.

Lean Six Sigma in consumer banking – an empirical inquiry

2019 ◽  
Vol 36 (8) ◽  
pp. 1345-1369 ◽  
Author(s):  
Vijaya Sunder M. ◽  
L.S. Ganesh ◽  
Rahul R. Marathe
Keyword(s):  
Project Management ◽  
Real Time ◽  
Six Sigma ◽  
Academic Research ◽  
Selection Criterion ◽  
Lean Six Sigma ◽  
Future Research ◽  
Content Type ◽  
Managerial Implications ◽  
Practical Implications

Purpose The evolution of Lean Six Sigma (LSS) within the operations management theory has enjoyed significant success in both manufacturing and services. Though the applicability of LSS is evident in the services sector through various publications, academic research on the use of LSS in the Banking and Financial Services (BFS) is limited, and hence deserves greater attention. The purpose of this paper is to illustrate the application of LSS in consumer banking in real-time setting. Design/methodology/approach A case study method is used to study the application of LSS in two consumer banks with stage 1 featuring identification of appropriate consumer banks where LSS projects could be undertaken, and suitable LSS readiness assessment was performed. In stage 2, LSS project opportunities were identified in the select banks through stakeholder engagement. Finally, in stage 3, LSS projects were executed for process improvements in a real-time setting. Findings The case studies provide evidence of the successful application of LSS in consumer banking and the associated multiple benefits. The extent of applicability and appropriate managerial implications in project management context are elaborated. An LSS project selection criterion is recommended as a part of the study. Further, the study explains five important managerial implications in BFS context, with an outlook for future research. Research limitations/implications Practitioner research shows that BFS organizations have changed their ways of working by adapting LSS over the last decade. However, the academic research concerning the applicability of LSS in BFS is apparently limited, and none of these are specific to “consumer banking.” This study serves as a strong foundation for future research in this area, which is at its nascence and upcoming in the researchers’ community. However, strong generalizations should not be made as this study is limited to two cases. Practical implications Since the cases are executed in the real-time setup of consumer banks, the paper has several practical implications. First, the paper confirms the applicability of LSS in consumer banking and concludes that LSS project management is merely a sub-set of LSS deployment. Second, LSS needs to be understood using a “systems thinking” perspective in order to move away from a narrow project-only approach. An LSS project selection criterion is recommended as a part of the study, which could serve as a managerial resource. Other managerial implications include effective management of stakeholders and change leadership as essential elements of LSS project management in banks. Originality/value LSS has been successful in the past few decades in the manufacturing and service sectors. However, its application in BFS is limited. This study illustrates the applicability of LSS in consumer banks, which deals with high volumes of data, customer bases and associated financial transactions.

scholarly journals Let natural learning arise!: optimizing organizational learning through a customized leadership development program

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Robin Roberts
Keyword(s):  
Leadership Development ◽  
Organizational Learning ◽  
Real Time ◽  
Development Program ◽  
Future Research ◽  
Continuous Assessment ◽  
Multiple Sources ◽  
Content Type ◽  
Qualitative Feedback ◽  
Leadership Development Program

Purpose This paper examined a tiered leadership development program (LDP) designed to optimize natural organizational learning. Design/methodology/approach The heuristic design of the tiered LDP linked learning pragmatic to the leaders’ workplace to the LDP content instructed in real-time. Findings The longitudinal study showed that real-time connected natural learning and LDP instruction fortified the participants’ competencies systemically throughout the organization easily measured through continuous assessment and feedback from multiple sources. Research limitations/implications The study relied on assessment data perceived by workplace observers. Though perception bias is prevalent in studies dependent on qualitative feedback, the feedback in this study was useful to determine the heuristic value of the study parameters. Future research focused on identifying specific elements of natural learning influencing leadership development would enrich the customized content of the tiered LDP. Organizations considering a tiered LDP are cautioned to contemplate if their organization has the internal expertise to implement and facilitate such a program or require external affordable consultancies for the LDP. Originality/value This paper introduces a unique and comprehensive tiered leadership development program that promotes stackable and transferable learning symbiotic of leaders’ relationships and organizational tasks at a variety of organizational levels.

An internet of things-based smart warehouse infrastructure: design and application

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ifadhila Affia ◽  
Ammar Aamer
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Future Research ◽  
Prototype System ◽  
Successful Implementation ◽  
Manufacturing Companies ◽  
Content Type ◽  
Infrastructure Design ◽  
Qualitative Descriptive ◽  
Critical Components

Purpose Real-time visibility and traceability in warehousing could be accomplished by implementing the internet-of-things (IoT) technology. The purpose of this paper is to develop a roadmap for designing an IoT-based smart warehouse infrastructure and, respectively, design and apply the IoT-based smart warehouse infrastructure using a developed roadmap. More specifically, this study first identifies critical components to design an IoT-based smart warehouse infrastructure. Second, the study at hand identifies essential factors that contribute to the successful implementation of IoT-based smart warehouse infrastructure. Design/methodology/approach A qualitative-descriptive method, through a comprehensive review of the relevant studies, was used in this study to develop a roadmap. A prototype system was then designed to simulate a case company’s actual warehouse operations in one of the manufacturing companies in Indonesia. Findings A framework was proposed which is viable for designing an IoT-based smart warehouse infrastructure. Based on the data collected from a case company, the proposed smart warehouse infrastructure design successfully implemented real-time visibility and traceability and improved overall warehouse efficiency. Research limitations/implications While the framework in this research was carried out in one of the developing counties, the study could be used as the basis for future research in a smart warehouse, IoT and related topics. Originality/value This research enhances the limited knowledge to establish the IoT infrastructure for a smart warehouse to enable real-time visibility and traceability. This study is also the first to specifically propose a framework for designing an IoT-based smart warehouse infrastructure. The proposed framework can motivate companies in developing countries to deploy efficient and effective smart warehouses using IoT to drive the countries’ economic growth.

Customers’ emotions in real time: measuring affective responses to service and relationship quality at the reception desk

2018 ◽  
Vol 12 (2) ◽  
pp. 173-184 ◽  
Author(s):  
Christian Nordhorn ◽  
Anna Scuttari ◽  
Harald Pechlaner
Keyword(s):  
Relationship Quality ◽  
Real Time ◽  
Service Recovery ◽  
Emotional Responses ◽  
Marketing Research ◽  
Muscular Activity ◽  
Service Design ◽  
Future Research ◽  
Content Type ◽  
Practical Implications

Purpose The purpose of this paper is to explore customers’ emotions during a host–guest interaction at the reception desk of a hotel. Guests’ emotional responses are analyzed in real time to understand their link to behavior and levels of service and relationship quality. Design/methodology/approach To achieve this aim, 225 random customers experience six different types of interactions (scenarios) at a staged reception desk, representing a high/low service or relationship quality. The emotions provoked within guests are (video) recorded and analyzed with the help of SHORETM, a facial recognition software that processes four basic emotions derived from human muscular activity and calculates average emotional scores per scenario. Findings Results reveal that customers respond more positively to service than to relationship quality. Informal approaches to interacting with guests are mixed; they can both excite or irritate customers. As with existing evidence in service marketing research, the results found out through this study demonstrate that a good service recovery process seems to immediately generate more satisfied customers than do constant high-quality standards. Research limitations/Implications The main limitations are related to the semi-staged nature of social interactions, which might cause distortions in measuring emotions and limitations in the comparability of cases. Practical Implications Practical implications are directed to service designers and managers in hospitality to improve service design and ensure effective service recoveries. Originality/value This paper introduces a novel approach for assessing host–guest interactions in tourism based on a real-time emotional assessment of service and relationship quality in hospitality. Technologically advanced observation techniques enable in-depth analyses of actions and emotional responses between hosts and guests across time. New insights concerning service design and service recovery management are gained for practitioners and for future research.

Real-time data integration of an internet-of-things-based smart warehouse: a case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ammar Mohamed Aamer ◽  
Chelinka Rafiesta Sahara
Keyword(s):  
Internet Of Things ◽  
Data Integration ◽  
Real Time ◽  
Inventory Management ◽  
Radio Frequency Identification ◽  
Low Cost ◽  
Future Research ◽  
Time Data ◽  
Content Type ◽  
Real Time Data

Purpose Creating a real-time data integration when developing an internet-of-things (IoT)-based warehouse is still faced with challenges. It involves a diverse knowledge of novel technology and skills. This study aims to identify the critical components of the real-time data integration processes in IoT-based warehousing. Then, design and apply a data integration framework, adopting the IoT concept to enable real-time data transfer and sharing. Design/methodology/approach The study used a pilot experiment to verify the data integration system configuration. Radio-frequency identification (RFID) technology was selected to support the integration process in this study, as it is one of the most recognized products of IoT. Findings The experimentations’ results proved that data integration plays a significant role in structuring a combination of assorted data on the IoT-based warehouse from various locations in a real-time manner. This study concluded that real-time data integration processes in IoT-based warehousing could be generated into three significant components: configuration, databasing and transmission. Research limitations/implications While the framework in this research was carried out in one of the developing counties, this study’s findings could be used as a foundation for future research in a smart warehouse, IoT and related topics. The study provides guidelines for practitioners to design a low-cost IoT-based smart warehouse system to obtain more accurate and timely data to support the quick decision-making process. Originality/value The research at hand provides the groundwork for researchers to explore the proposed theoretical framework and develop it further to increase inventory management efficiency of warehouse operations. Besides, this study offers an economical alternate for an organization to implement the integration software reasonably.

Sign in / Sign up

Export Citation Format

Share Document