Impact of Automated Inspection Technology on Unit Train Performance

2010 ◽  
Author(s):  
Bryan W. Schlake ◽  
Christopher P. L. Barkan ◽  
J. Riley Edwards
Keyword(s):  
Condition Monitoring ◽  
Cost Savings ◽  
Simulation Software ◽  
Rolling Stock ◽  
Automated Inspection ◽  
Significant Cost ◽  
Maintenance Strategies ◽  
Service Failures ◽  
Inspection Systems ◽  
The Impact

Automated wayside inspection systems have been developed to monitor rolling stock condition and facilitate predictive maintenance strategies. Improving the effectiveness of railcar condition monitoring has the potential for significant cost savings as a result of reduced derailments and in-service failures. This paper presents an economic analysis of the costs associated with train accidents and mainline delay due to defective railcar components. We consider track and equipment damages as well as train delay costs. We use dispatch simulation software to determine the impact of in-service failures on mainline capacity at varying traffic levels. This analysis provides a basis for the comparison of current railcar inspection practices with new integrated practices incorporating automated inspection systems.

scholarly journals A Deep Learning-Based Fault Detection Model for Optimization of Shipping Operations and Enhancement of Maritime Safety

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5658
Author(s):  
Panayiotis Theodoropoulos ◽  
Christos C. Spandonidis ◽  
Fotis Giannopoulos ◽  
Spilios Fassois
Keyword(s):  
Condition Monitoring ◽  
Continuous Process ◽  
Operating Cost ◽  
Essential Element ◽  
Cost Savings ◽  
Process Improvements ◽  
Detection Model ◽  
Efficiency Increase ◽  
Marine Engineering ◽  
The Impact

The ability to exploit data for obtaining useful and actionable information and for providing insights is an essential element for continuous process improvements. Recognizing the value of data as an asset, marine engineering puts data considerations at the core of system design. Used wisely, data can help the shipping sector to achieve operating cost savings and efficiency increase, higher safety, wellness of crew rates, and enhanced environmental protection and security of assets. The main goal of this study is to develop a methodology able to harmonize data collected from various sensors onboard and to implement a scalable and responsible artificial intelligence framework, to recognize patterns that indicate early signs of defective behavior in the operational state of the vessel. Specifically, the methodology examined in the present study is based on a 1D Convolutional Neural Network (CNN) being fed time series directly from the available dataset. For this endeavor, the dataset undergoes a preprocessing procedure. Aspiring to determine the effect of the parameters composing the networks and the values that ensure the best performance, a parametric inquiry is presented, determining the impact of the input period and the degree of degradation that our models identify adequately. The results provide an insightful picture of the applicability of 1D-CNN models in performing condition monitoring in ships, which is not thoroughly examined in the maritime sector for condition monitoring. The data modeling along with the development of the neural networks was undertaken with the Python programming language.

scholarly journals Biosimilar bidding in centralized tenders in Norway

2021 ◽  
Author(s):  
Dag Morten Dalen ◽  
Steinar Strøm ◽  
Marilena Locatelli
Keyword(s):  
Market Share ◽  
Regression Models ◽  
Cost Savings ◽  
Competition Effect ◽  
Significant Cost ◽  
Institutional Factor ◽  
Drug Category ◽  
Branded Drugs ◽  
The Impact ◽  
Intensity Of Competition

Our objective is to study the competition effect of biosimilar entry in centralized tenders for an expensive category or drugs - TNF-inhibitors. We use monthly observations of prices and volumes for all brands and biosimilars in this drug category in Norway, covering the period from Jan. 2006 to Dec. 2016. Descriptive statistics and regression models are used to investigate the impact of biosimilars on the drug price and the effect of the number of brands on the intensity of competition. Both the entry of biosimilars and new branded drugs have increased competition and reduced prices. According to our estimates, an increase in the market share of biosimilars from 10 % to 60 %, will be accompanied with a 50 % reduction in the expected price. Only two years after entry, the first biosimilars in this drug category had gained a market share of 40 % in Norwegian hospitals. Although entry barriers for biosimilars are higher than for generics of chemical substances, significant cost savings are expected from patent expirations of expensive biologics as well. The centralized design of the tenders is an important institutional factor behind the strong competition effect. Published: Online January 2020

The Impact of E-Procurement Systems in the Biomedical Industry

2020 ◽  
Vol 27 (2) ◽  
pp. 66
Author(s):  
A. Seetharaman ◽  
Nitin Patwa ◽  
Simon Lai Koek Wai ◽  
Ahammed Shamir
Keyword(s):  
Supply Chain ◽  
Cost Savings ◽  
The Internet ◽  
Business Analytics ◽  
Process Automation ◽  
Short Term ◽  
Compliance Cost ◽  
Biomedical Industry ◽  
The Impact

The evolution of the Internet has revolutionised the sourcing and procurement processes in organisations in every industry. The focus of this paper is to analyse the perception of business users on the factors which impact the usage of eprocurement systems in the biomedical industry. There are four factors identified in this research: i.e. control and compliance, cost savings, process automation, and improvements and transparency. The benefit of achieving process automation is the first biggest factor, followed by the need for control and compliance, and transparency, being the second and third factors respectively. The fourth factor, cost savings, is ignored because the users perceived that cost savings will not be realised in the short term, and the returns from the investment could be a couple of years after the eprocurement system has been fully operational. The research also concludes that the ability to perform business analytics and to strengthen the supply chain are the most important factors in measuring the success in the adoption of e-procurement systems

Yoga as an Innovative Solution for Financial Growth of Companies

2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Ipseeta Satpathy ◽  
B. Chandra Mohan Patnaik ◽  
Chandrabhanu Das
Keyword(s):  
Inventory Management ◽  
Internal Control ◽  
Positive Impact ◽  
Cost Savings ◽  
Well Being ◽  
Primary Data ◽  
Financial Health ◽  
Antibiotic Drugs ◽  
Lifestyle Diseases ◽  
The Impact

The existence of Yoga dates back to more than ten thousand years around India and all nations. The Hindu Mythology considers the genesis of Yoga by incorporating Lord Shiva as Guru and Goddess Parvati as Shishya. Gradually with the development of civilization mankind assessed the benefits of this spiritual discipline and different leaders propagated the Yoga in different ways.In this era of 21st century Baba Ramdev propagated the yoga sutras with simple and effective techniques. The Pranayam and Suryanamaskar are the popular routines practiced by many followers of Baba Ramdev. Today Yoga is practiced as a way of Living to prevent Lifestyle diseases, combat stress and rejuvenate self. Yoga has gained immense popularity over the years with July 21st being celebrated as International Yoga Day. Corporate are also now introducing Yoga for employees as a means to relieve their stress and improve productivity. Long Hours of sitting, standing and excessive use of electronic gadgets puts pressure on bones, joints and responsible for Lifestyle diseases. Yoga is now increasingly used as a wellness solution replacing high cost antibiotic drugs. Employee well-being leads to Cost Savings in terms of personnel by reduced payment of Insurance and Medical Bills. The paper studies the Impact of Yoga to Financial benefits in MSME Organizations in Odisha in light of three different perspectives of Internal Control, Inventory management and Cash Flow. The primary data was collected from a sample of 155 high profile finance executives working in the MSME sector. Ranking Table and Regression Analysis Methodology was used to derive meaningful conclusions. The research takes initiative to transform the effectiveness of Yoga into improved financial health for the Organization. The observation from the study interprets a positive impact of Yoga on good financial health of Organization.

Pound Wise and Penny Foolish? Weight Loss and The Dynamics of Health Care Spending

2011 ◽  
Vol 14 (2) ◽  
Author(s):  
Thomas G Koch
Keyword(s):  
Weight Loss ◽  
Cost Savings ◽  
Cost Effective ◽  
Economic Consequences ◽  
Health Care Spending ◽  
Order Of Magnitude ◽  
Dynamic Measures ◽  
The Cost ◽  
The Impact ◽  
The Relationship

Current estimates of obesity costs ignore the impact of future weight loss and gain, and may either over or underestimate economic consequences of weight loss. In light of this, I construct static and dynamic measures of medical costs associated with body mass index (BMI), to be balanced against the cost of one-time interventions. This study finds that ignoring the implications of weight loss and gain over time overstates the medical-cost savings of such interventions by an order of magnitude. When the relationship between spending and age is allowed to vary, weight-loss attempts appear to be cost-effective starting and ending with middle age. Some interventions recently proven to decrease weight may also be cost-effective.

scholarly journals The Impact of a Reentry and Aftercare Program on Recidivism

2020 ◽  
pp. 003464462097393
Author(s):  
Colin Cannonier ◽  
Monica Galloway Burke ◽  
Ed Mitchell
Keyword(s):  
Sample Selection ◽  
Cost Savings ◽  
Social Program ◽  
Recidivism Rates ◽  
Criminal Justice Reform ◽  
Heterogeneous Effects ◽  
Need To Evaluate ◽  
Reducing Recidivism ◽  
Aftercare Service ◽  
The Impact

In this article, we explore the impact of a reentry and aftercare service program on the likelihood of returning to prison by ex-offenders. Using administrative data within a difference-in-differences design, we find that this social program is associated with a reduction in recidivism rates. Benchmark estimates show that the program was associated with estimated reductions in the probability of recidivating of 6.0 to 8.7 percentage points. The estimate appears to be economically significant as it implies an estimated treated effect in the 15.8% to 19.2% range. We consider the heterogeneous effects of the program on reducing recidivism according to race, age group, and program type. The program helped to reduce recidivism among Whites but not Blacks; older participants were the main beneficiaries while the effectiveness of the program was observed among older participants. Back-of-the-envelope cost-savings analysis is incorporated to estimate the potential savings to the state arising from the reduction in recidivism rates likely attributable to the program. The findings are robust to sample selection bias, alternative specifications, and estimation techniques. Our results offer some implications for the role of faith-based social programs within the context of criminal justice reform to combat reentry of former inmates. They also provide a cautionary tale about the need to evaluate programs not just based on their overall effect.

scholarly journals Experimental and Numerical Study of Fracture Behavior of Rock-Like Material Specimens with Single Pre-Set Joint under Dynamic Loading

Materials ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2690
Author(s):  
Bo Pan ◽  
Xuguang Wang ◽  
Zhenyang Xu ◽  
Lianjun Guo ◽  
Xuesong Wang
Keyword(s):  
Crack Initiation ◽  
Crack Propagation ◽  
Joint Angle ◽  
Simulation Software ◽  
Dissipated Energy ◽  
Energy Structure ◽  
Joint Angles ◽  
Crack Penetration ◽  
Before And After ◽  
The Impact

The Split Hopkinson Pressure Bar (SHPB) is an apparatus for testing the dynamic stress-strain response of the cement mortar specimen with pre-set joints at different angles to explore the influence of joint attitudes of underground rock engineering on the failure characteristics of rock mass structure. The nuclear magnetic resonance (NMR) has also been used to measure the pore distribution and internal cracks of the specimen before and after the testing. In combination with numerical analysis, the paper systematically discusses the influence of joint angles on the failure mode of rock-like materials from three aspects of energy dissipation, microscopic damage, and stress field characteristics. The result indicates that the impact energy structure of the SHPB is greatly affected by the pre-set joint angle of the specimen. With the joint angle increasing, the proportion of reflected energy moves in fluctuation, while the ratio of transmitted energy to dissipated energy varies from one to the other. NMR analysis reveals the structural variation of the pores in those cement specimens before and after the impact. Crack propagation direction is correlated with pre-set joint angles of the specimens. With the increase of the pre-set joint angles, the crack initiation angle decreases gradually. When the joint angles are around 30°–75°, the specimens develop obvious cracks. The crushing process of the specimens is simulated by LS-DYNA software. It is concluded that the stresses at the crack initiation time are concentrated between 20 and 40 MPa. The instantaneous stress curve first increases and then decreases with crack propagation, peaking at different times under various joint angles; but most of them occur when the crack penetration ratio reaches 80–90%. With the increment of joint angles in specimens through the simulation software, the changing trend of peak stress is consistent with the test results.

scholarly journals Fleet Resilience: Evaluating Maintenance Strategies in Critical Equipment

2020 ◽  
Vol 11 (1) ◽  
pp. 38
Author(s):  
Orlando Durán ◽  
Javier Aguilar ◽  
Andrea Capaldo ◽  
Adolfo Arata
Keyword(s):  
Application Study ◽  
System Availability ◽  
Maintenance Strategies ◽  
Resilience Index ◽  
Reliability Block Diagrams ◽  
Maintenance Policies ◽  
Definition Of ◽  
The Impact ◽  
Important System ◽  
Intrinsic Characteristic

Resilience is an intrinsic characteristic of systems. Through it, the capacity of a system to react to the existence of disruptive events is expressed. A series of metrics to represent systems’ resilience have been proposed, however, only one indicator relates the availability of the system to this characteristic. With such a metric, it is possible to relate the topological aspects of a system and the resources available in order to be able to promptly respond to the loss of performance as a result of unexpected events. This work proposes the adaptation and application of such a resilience index to assess the influence of different maintenance strategies and topologies in fleets’ resilience. In addition, an application study considering an actual mining fleet is provided. A set of critical assets was identified and represented using reliability block diagrams. Monte Carlo simulation experiments were conducted and the system availability data were extracted. Resilience indexes were obtained in order to carry out the definition of the best maintenance policies in critical equipment and the assessment of the impact of modifying system redundancies. The main results of this work lead to the overall conclusion that redundancy is an important system attribute in order to improve resiliency along time.

scholarly journals A next step in disruption management: combining operations research and complexity science

2021 ◽  
Author(s):  
Mark M. Dekker ◽  
Rolf N. van Lieshout ◽  
Robin C. Ball ◽  
Paul C. Bouman ◽  
Stefan C. Dekker ◽  
...  
Keyword(s):  
Operations Research ◽  
Complexity Science ◽  
Rolling Stock ◽  
Accurate Information ◽  
Disruption Management ◽  
Railway Systems ◽  
Decentralized Decision Making ◽  
Control Situations ◽  
Management Techniques ◽  
The Impact

AbstractRailway systems occasionally get into a state of being out-of-control, meaning that barely any train is running, even though the required resources (infrastructure, rolling stock and crew) are available. Because of the large number of affected resources and the absence of detailed, timely and accurate information, currently existing disruption management techniques cannot be applied in out-of-control situations. Most of the contemporary approaches assume that there is only one single disruption with a known duration, that all information about the resources is available, and that all stakeholders in the operations act as expected. Another limitation is the lack of knowledge about why and how disruptions accumulate and whether this process can be predicted. To tackle these problems, we develop a multidisciplinary framework combining techniques from complexity science and operations research, aiming at reducing the impact of these situations and—if possible—avoiding them. The key elements of this framework are (i) the generation of early warning signals for out-of-control situations, (ii) isolating a specific region such that delay stops propagating, and (iii) the application of decentralized decision making, more suited for information-sparse out-of-control situations.

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