scholarly journals Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Jing Chao ◽  
Zhang Jinxi
Keyword(s):  
High Temperature ◽  
Environmental Factors ◽  
Least Squares Method ◽  
Asphalt Pavement ◽  
Temperature Data ◽  
Environmental Data ◽  
Strongly Correlated ◽  
Pavement Temperature ◽  
And Performance ◽  
Partial Least Squares Method

Asphalt pavement temperatures greatly influence on the bearing capacity and performance, especially in high-temperature season. The variation rules of pavement temperatures under the high-temperature range affect the design and maintenance management of the asphalt pavement, as well as the accurate prediction for pavement temperatures. However, asphalt pavement temperature is greatly affected by various strongly correlated environmental factors and cannot be measured directly or predicted effectively. In this project, temperature sensors were embedded in the pavement of in-service road to collect temperature data by continuous record measurement, and regression model was conducted by the partial least squares method through comprehensive analysis on the pavement temperature data and synchronously environmental data from local weather station measured in July 2013, July 2014, and July 2015. The quantitative relationships in high-temperature season between environmental factors and pavement temperature were determined, and a model was established to predict the temperature of asphalt pavement based on environmental data. The model was verified by the recorded data from July 1, 2016, to July 31, 2016, and the results indicated that the pavement temperature can be predicted accurately and reliably by the proposed model.

Interorganisational Networks of Pressure and Influence

2010 ◽  
Vol 3 (1) ◽  
pp. 13-27
Author(s):  
Savanid Vatanasakdakul ◽  
Chadi Aoun
Keyword(s):  
Significant Influence ◽  
Social Factors ◽  
Least Squares Method ◽  
Effective Diffusion ◽  
Tourism Industry ◽  
New Paradigm ◽  
Normative Pressure ◽  
The Social ◽  
And Performance ◽  
Partial Least Squares Method

The old paradigm in technology adoption focuses on the technical implementation and uptake of innovation. A new paradigm has emerged that considers the social, cultural, and political context in which innovation is implemented and addresses the enablers and constraints to its effective diffusion and utilisation. To that end, we apply the institutional theory as a social lens to examine the diffusion of B2B technology in Thailand. This study posits that mimetic, coercive and normative pressures may influence B2B technology utilisation and performance. Data were collected from firms that have adopted B2B technology in the tourism industry. The Partial Least Squares method was used for data analysis. Results show that normative and coercive pressures had a significant influence on firms’ utilisation of B2B technology, while normative pressure had a significant influence on performance. We conclude by hypothesising that only through addressing the social factors can innovation achieve ‘real’ diffusion and effectiveness.

The impact of asymmetry on performance in different collaboration and integration environments in supply chain management

2018 ◽  
Vol 23 (1) ◽  
pp. 33-49 ◽  
Author(s):  
Marek Michalski ◽  
Jose-Luis Montes-Botella ◽  
Ram Narasimhan
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Least Squares Method ◽  
Chain Management ◽  
Content Type ◽  
Non Linear ◽  
Improved Performance ◽  
And Performance ◽  
Partial Least Squares Method ◽  
The Impact

Purpose This paper aims to examine the non-linear aspects of the relationship between asymmetry and performance in supply chains (SCs), under varying intensities of collaboration and integration. Design/methodology/approach The paper offers a useful new approach to designing strategic elements of supply chain management (SCM) relationships. Using the partial least squares method, an empirical study of 66 companies in Spain has been conducted to clarify contemporary relationships, suggest new directions and ultimately contribute toward developing SCM theory. Findings The influences of asymmetry on performance in varying collaboration and integration contexts are shown to be unstable and have non-linear paths. It is inappropriate for all firms to collaborate or integrate continually, even for a prescribed period. Furthermore, due to asymmetry, SCM processes are more complex. Research limitations/implications The results’ validity may be limited to contexts specific to Spanish SCs. It would be valuable to investigate the impact of asymmetry on firms’ performance and relationships in other markets. Practical implications Collaborations and integration between partners in a SC might change the role of asymmetry from restraining to improving performance. The best way to improve performance in asymmetric relationships is to collaborate. Certain dimensions of integration and full integration are not necessarily required to improve firms’ performance under asymmetry conditions. Originality/value The study adds a new viewpoint on SCM by suggesting that not all collaboration and integration developments lead directly to improved performance.

scholarly journals Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Davide Aloini ◽  
Andrea Fronzetti Colladon ◽  
Peter Gloor ◽  
Emanuele Guerrazzi ◽  
Alessandro Stefanini
Keyword(s):  
Environmental Factors ◽  
Operations Management ◽  
Material Handling ◽  
Empirical Studies ◽  
Well Being ◽  
Individual Characteristics ◽  
Environmental Data ◽  
Content Type ◽  
And Performance ◽  
The Impact

PurposeThe purpose of the research is to conduct an exploratory investigation of the material handling activities of an Italian logistics hub. Wearable sensors and other smart tools were used for collecting human and environmental features during working activities. These factors were correlated with workers' performance and well-being.Design/methodology/approachHuman and environmental factors play an important role in operations management activities since they significantly influence employees' performance, well-being and safety. Surprisingly, empirical studies about the impact of such aspects on logistics operations are still very limited. Trying to fill this gap, the research empirically explores human and environmental factors affecting the performance of logistics workers exploiting smart tools.FindingsResults suggest that human attitudes, interactions, emotions and environmental conditions remarkably influence workers' performance and well-being, however, showing different relationships depending on individual characteristics of each worker.Practical implicationsThe authors' research opens up new avenues for profiling employees and adopting an individualized human resource management, providing managers with an operational system capable to potentially check and improve workers' well-being and performance.Originality/valueThe originality of the study comes from the in-depth exploration of human and environmental factors using body-worn sensors during work activities, by recording individual, collaborative and environmental data in real-time. To the best of the authors' knowledge, the current paper is the first time that such a detailed analysis has been carried out in real-world logistics operations.

Study on Temperature Prediction Model of Asphalt Concrete Pavement

2011 ◽  
Vol 243-249 ◽  
pp. 506-509
Author(s):  
Yuan Xun Zheng ◽  
Ying Chun Cai ◽  
Ya Min Zhang
Keyword(s):  
Asphalt Concrete ◽  
Prediction Models ◽  
Asphalt Pavement ◽  
Temperature Data ◽  
Measured Temperature ◽  
Temperature Prediction ◽  
Distribution Laws ◽  
Pavement Temperature ◽  
Asphalt Concrete Pavement ◽  
Excellent Accuracy

This study presents a kind of new model correlates air and pavement temperatures in bituminous pavement. Based on abundant measured temperature data in Henan Province, China, distribution laws in asphalt conctete pavement temperature is studied detailed and the dependency between air and pavement temperature is discussed by the method of regression analysis and the prediction models of asphalt pavement temperature are established. Comparisons between measured and predicted asphalt pavement temperatures indicate that the models are equipped with comprehensive applicability and excellent accuracy.

scholarly journals Does team diversity really matter? The connection between networks, access to financial resources, and performance in the context of university spin-offs

2020 ◽  
Author(s):  
Petra Moog ◽  
Christian Soost
Keyword(s):  
Least Squares Method ◽  
Financial Resources ◽  
Team Composition ◽  
Mediation Model ◽  
Ongoing Debate ◽  
Team Diversity ◽  
Team Characteristics ◽  
And Performance ◽  
Partial Least Squares Method ◽  
Scientific Environment

Abstract University spin-offs (USOs) are an important driver for innovation, along with economic and social development. Hence, understanding which factors help them perform successfully is crucial, especially regarding their peculiarities in a scientific environment. This study focuses on essential factors such as team composition and diversity in USOs in the biotech sector in 64 founding teams in Switzerland and Germany. By identifying the team composition, and going beyond the usual team characteristics, along with checking in parallel for network and financing effects, the paper adds empirical evidence to the ongoing debate if and how team diversity in USOs affects the performance of this special group of newly founded firms. We test our hypotheses with the partial least squares method (PLS). Our results from the mediation model show how the diversity of teams is related to networks and financial resources and affects the performance. In addition, our study reveals the direct and indirect effects of team diversity on success in USOs. This way we contribute to the ongoing discussion on performance investigating the sources of team effects more in detail.

scholarly journals Laboratory-Scale Processing and Performance Assessment of Ti–Ta High-Temperature Shape Memory Spring Actuators

2021 ◽  
Author(s):  
A. Paulsen ◽  
H. Dumlu ◽  
D. Piorunek ◽  
D. Langenkämper ◽  
J. Frenzel ◽  
...  
Keyword(s):  
High Temperature ◽  
Shape Memory ◽  
Detrimental Effect ◽  
Wire Drawing ◽  
Fast Heating ◽  
Heating And Cooling ◽  
Arc Melting ◽  
Ω Phase ◽  
And Performance

AbstractTi75Ta25 high-temperature shape memory alloys exhibit a number of features which make it difficult to use them as spring actuators. These include the high melting point of Ta (close to 3000 °C), the affinity of Ti to oxygen which leads to the formation of brittle α-case layers and the tendency to precipitate the ω-phase, which suppresses the martensitic transformation. The present work represents a case study which shows how one can overcome these issues and manufacture high quality Ti75Ta25 tensile spring actuators. The work focusses on processing (arc melting, arc welding, wire drawing, surface treatments and actuator spring geometry setting) and on cyclic actuator testing. It is shown how one can minimize the detrimental effect of ω-phase formation and ensure stable high-temperature actuation by fast heating and cooling and by intermediate rejuvenation anneals. The results are discussed on the basis of fundamental Ti–Ta metallurgy and in the light of Ni–Ti spring actuator performance.

scholarly journals A GPR-Based Pavement Density Profiler: Operating Principles and Applications

2021 ◽  
Vol 13 (13) ◽  
pp. 2613
Author(s):  
Nectaria Diamanti ◽  
A. Peter Annan ◽  
Steven R. Jackson ◽  
Dylan Klazinga
Keyword(s):  
Asphalt Pavement ◽  
Wave Impedance ◽  
Asphalt Mixtures ◽  
Void Content ◽  
Air Voids ◽  
New Instrument ◽  
Pavement Engineering ◽  
And Performance ◽  
Air Void ◽  
Air Void Content

Density is one of the most important parameters in the construction of asphalt mixtures and pavement engineering. When a mixture is properly designed and compacted, it will contain enough air voids to prevent plastic deformation but will have low enough air void content to prevent water ingress and moisture damage. By mapping asphalt pavement density, areas with air void content outside of the acceptable range can be identified to predict its future life and performance. We describe a new instrument, the pavement density profiler (PDP) that has evolved from many years of making measurements of asphalt pavement properties. This instrument measures the electromagnetic (EM) wave impedance to infer the asphalt pavement density (or air void content) locally and over profiles.

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