Semi-Truck Driver Safe Egress Analysis and Renovation

Author(s):  
Arthur Wells ◽  
Kyle McGann ◽  
John Parmigiani

Abstract The backbone of most supply chains is the trucking business. This highly competitive industry requires that loads be delivered on-time and in an economic manner. A major logistics company has found that accidents causing driver injury are inhibiting their ability to meet both requirements. Non-fatal injuries for truck drivers are 7 times the national average, and 30% of these are from falls, slips, and trips. Specifically, an ongoing problem is drivers slipping and falling when entering and exiting tractor cabs. Better entry-and-exit hardware and procedures need to be developed and implemented. To contribute to solving this problem, Oregon State University (OSU) was contacted by a major truck manufacturer to develop supplemental hardware and procedures. The project was pursued through OSU’s Prototype Development Lab (PDL). The work performed consisted of (i) a background investigation to determine accident root causes, (ii) development of alternative design solutions, (iii) selection of a preferred design solution through consultation with all stakeholders, (iv) development of the preferred solution consisting of a hardware prototype and associated procedures, and (v) evaluation and revision of the solution based on user feedback. The background investigation was performed as follows. To determine the causes, the company’s safety procedures and incident reports were reviewed. From this information, a driver survey was developed. This provided a data set from which an industrial engineering analysis was performed. The root causes of the accidents were clearly identified. These are: slipping on steps, not following the “three points of contact” rule, and the handles not proving appropriate grip. Slipping and not having enough grip is a design problem with the driver hardware aids for transiting to and from the cab. Not following procedure is a behavioral problem. There is a well-engineered procedure in place for transiting between the cab and the ground. However, drivers often circumvent this solution leading to accidents. Alternative design solutions were created to address both the shortcomings of the current hardware and the current circumventable procedures. This consisted of four mechanical-device concepts that could be retrofitted to existing cabs that improved grip and prevented the drivers from exiting the cab in a manner contrary to the established procedures. The design selection was performed based on feedback from project stakeholders. Ultimately, the effectiveness of the solutions was determined by driver response, so a second survey was made to gauge driver feedback. This was used to present the options to the trucking manufacturer and logistics company. A single design solution was chosen. The solution was an additional mechanical handle retrofitted to the cab. This handle swings out from the driver’s foot-well and impedes entering and exiting the cab in an improper manner. It also provides a more accessible, more rigid point of contact. To evaluate this solution, a prototype polyethylene handle was made to determine proper placement and function in a truck cab. From this, the handle was revised, and a functional prototype was created. This allowed testing and an ergonomic study to be performed. A final design was then created. This was forwarded to the truck manufacturer for final development and mass production.

2015 ◽  
Vol 809-810 ◽  
pp. 865-870
Author(s):  
Manuela Roxana Dijmărescu ◽  
Dragoș Iliescu ◽  
Marian Gheorghe

Various architectures exposing certain phases of the design process have been developed. A closer analysis of the presented timelines is leading more to postpone the design solution rather than advancing it in the early phases. This paper advances a new architecture for the design process with the main emphasize on the product functional design, based on functional-constructive knowledge stored in databases, and on the principle of selecting design solutions in an incipient phase and developing them during the further design process stages.


2021 ◽  
Author(s):  
Masis Torosyan ◽  
Anthony Pollman ◽  
Anthony Gannon ◽  
Alejandro Hernandez

Abstract This paper presents the results of an alternatives analysis of gas-liquefaction methods used in liquid air energy storage (LAES) systems that incorporates two novel measures of performance (MOP) into the analysis: system complexity score and system density. The cryogenic methods typically considered for air, and used in this trade study, include Linde-Hampson, Claude, Heylandt, and cascade [1]. With these four options of air-liquefaction currently in use for a variety of purposes with ranging scales, there exists no standard selection process for the air-liquefaction method in LAES. This trade study provides fundamental design solutions for given stakeholder requirements, allowing for a pragmatic analysis of integration for future implementation of LAES systems. The intent of these design solutions is to be used in the earliest stage of consideration of a LAES implementation, helping stakeholders quickly narrow the focus of their design engineers to a specific liquefaction process. This will reduce the complexity of integration techniques and processes and streamline LAES into the energy-storage industry. The results of this study showed that with evenly weighted MOP the Heylandt method had the highest final weighted score (0.9), followed by Cascade (0.88), Claude (0.86), and Linde-Hampson (0.67). However, the results showed that the Cascade method was the most frequent design solution (8/11) from 11 variations of MOP weight distributions.


2008 ◽  
pp. 738-754
Author(s):  
Matteo Golfarelli ◽  
Stefano Rizzi

Though in most data warehousing applications no relevance is given to the time when events are recorded, some domains call for a different behavior. In particular, whenever late measurements of events take place, and particularly when the events registered are subject to further updates, the traditional design solutions fail in preserving accountability and query consistency. In this article, we discuss the alternative design solutions that can be adopted, in presence of late measurements, to support different types of queries that enable meaningful historical analysis. These solutions are based on the enforcement of the distinction between transaction time and valid time within the schema that represents the fact of interest. Besides, we provide a qualitative and quantitative comparison of the solutions proposed, aimed at enabling wellinformed design decisions.


Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2245 ◽  
Author(s):  
Chul-Seung Hong ◽  
Eul-Bum Lee

Many existing financial models for power plants chose a design based on the maximum thermal efficiency excluding the operational (OPEX) and capital (CAPEX) cost variations of technical factors. These factors are often fixed because including them in financial assessments can be burdensome and it is assumed that maximum efficiency equals maximum profit. However, this assumption may not always be right. Through 19,440 power plant steam-cycle design solutions and their associated OPEX and CAPEX, this study found the eighth most thermally-efficient solution to be $1.284 M more profitable than the traditional thermally-optimized design solution. As such, this paper presents a model incorporating technical factors through parametric estimation by minimizing the burden on decision makers. While this may reduce precision, it allows for quick cost assessments across differing design solutions. The data for model development was collected from a Korean-constructed, operational 600 MW coal-fired power plant in the Philippines. Using the Thermoflex software, nearly all design configurations’ heat rate outputs are simulated. Profitability is then optimized based on the resultant design configuration’s impact on revenue and CAPEX and OPEX costs. The simulation inputs included variables found to be most impactful on the steam generated power efficiency per existing literature. Lastly, the model includes an assessment of cost impacts among recent environmental regulations by incorporating carbon tax costs and a sensitivity analysis. The economic analysis model discussed in this paper is non-existent in current literature and will aid the power-plant project investment industry through their project feasibility analyses.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S974-S974
Author(s):  
Thomas Chacko ◽  
Kim Curyto ◽  
Marc Maller ◽  
Connie Eddy

Abstract Staff Training in Assisted Living Residences adapted for Veterans Affairs (STAR-VA) is an evidence-based, interdisciplinary behavioral intervention to manage challenging Behavioral Symptoms of Dementia (BSD) at VA Community Living Centers (CLCs). Components of STAR-VA included creating realistic expectations for individuals with dementia, effective communication, using a behavioral problem-solving approach, and increasing resident-centered pleasant events. STAR-VA was implemented at VA Western New York CLC to help staff manage Veteran BSD. The purpose of the study was to examine the effectiveness of STAR-VA implementation in 17 CLC Veterans with Dementia who demonstrated BSD distressing to themselves, other Veterans and/or staff and documented in 2017-2018. STAR-VA was facilitated by the behavioral coordinator and nurse champion in partnership with the CLC behavior team during weekly rounds and as needed modeling and debriefing. The team included the medical provider, recreation therapist, social worker, and all levels of nursing. On average, the intervention involved four assessments over 75 days. Outcome measures at baseline and post-intervention included assessments of target behavior frequency and severity, direct care tracking of behaviors, and the Minimum Data Set distress behavior indicator. Compared to baseline scores, clinically meaningful reduction was documented using team assessment and direct care ratings of BSD frequency and severity, and overall inappropriate utilization of antipsychotic medication. CLC clinical staff tailored implementation of STAR-VA to be feasible and effective. Ongoing evaluation of STAR-VA implementation using routine measures promotes measurement based care, providing feedback to the team to improve care quality.


2016 ◽  
Vol 16 (1) ◽  
pp. 85-101 ◽  
Author(s):  
Z. C. Aye ◽  
M. Jaboyedoff ◽  
M. H. Derron ◽  
C. J. van Westen ◽  
H. Y. Hussin ◽  
...  

Abstract. This paper presents a prototype of an interactive web-GIS tool for risk analysis of natural hazards, in particular for floods and landslides, based on open-source geospatial software and technologies. The aim of the presented tool is to assist the experts (risk managers) in analysing the impacts and consequences of a certain hazard event in a considered region, providing an essential input to the decision-making process in the selection of risk management strategies by responsible authorities and decision makers. This tool is based on the Boundless (OpenGeo Suite) framework and its client-side environment for prototype development, and it is one of the main modules of a web-based collaborative decision support platform in risk management. Within this platform, the users can import necessary maps and information to analyse areas at risk. Based on provided information and parameters, loss scenarios (amount of damages and number of fatalities) of a hazard event are generated on the fly and visualized interactively within the web-GIS interface of the platform. The annualized risk is calculated based on the combination of resultant loss scenarios with different return periods of the hazard event. The application of this developed prototype is demonstrated using a regional data set from one of the case study sites, Fella River of northeastern Italy, of the Marie Curie ITN CHANGES project.


Author(s):  
Haibing Li ◽  
Roland Lachmayer

AbstractDesign is a complex problem-solving activity that transforms design restrictions and requirements into a set of constraints and explores the feasible solutions to satisfy those constraints. However, design solutions generated by traditional modeling approaches are hardly to deal with such constraints, particularly for the exploration of the possible design solution space to enhance the quality of the design outputs and confront the evolving design requirements. In this regard, the Generative Design Approach (GDA) is considered as an efficient method to explore a large design solution space by transforming the design problem into a configuration problem. Fundamentally, GDA explores and stores all the necessary knowledge through a design skeleton and a set of design elements. Thus, design solution space is easily explored by configuring variable design elements via iterative design processes. Further, the output model is not only a design solution but also a design concept that designers could manipulate to explore unconsidered design configurations. Finally, a crank creation as a running example confirmed that GDA provides concrete aids to enhance the diversity of design solutions.


2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Ilaria Venanzi ◽  
Riccardo Castellani ◽  
Laura Ierimonti ◽  
Filippo Ubertini

Stakeholders of civil infrastructures have to usually choose among several design alternatives in order to select a final design representing the best trade-off between safety and economy, in a life-cycle perspective. In this framework, the paper proposes an automated procedure for the estimation of life-cycle repair costs of different bridge design solutions. The procedure provides the levels of safety locally guaranteed by the selected design solution and the related total life-cycle cost. The method is based on the finite element modeling of the bridge and uses design traffic models as suggested by international technical standards. Both the global behavior and the transversal cross section of the bridge are analyzed in order to provide local reliability indexes. Several parameters involved in the design, such as geometry and loads and materials’ characteristics, are considered as uncertain. Degradation models are adopted for steel carpentry and rebars. The application of the procedure to a road bridge case study shows its potential in providing local safety levels for different limit states over the entire lifetime of the bridge and the life-cycle cost of the infrastructure, highlighting the importance of the local character of the life-cycle cost analysis.


Geophysics ◽  
1998 ◽  
Vol 63 (2) ◽  
pp. 546-556 ◽  
Author(s):  
Herman Chang ◽  
John P. VanDyke ◽  
Marcelo Solano ◽  
George A. McMechan ◽  
Duryodhan Epili

Portable, production‐scale 3-D prestack Kirchhoff depth migration software capable of full‐volume imaging has been successfully implemented and applied to a six‐million trace (46.9 Gbyte) marine data set from a salt/subsalt play in the Gulf of Mexico. Velocity model building and updates use an image‐driven strategy and were performed in a Sun Sparc environment. Images obtained by 3-D prestack migration after three velocity iterations are substantially better focused and reveal drilling targets that were not visible in images obtained from conventional 3-D poststack time migration. Amplitudes are well preserved, so anomalies associated with known reservoirs conform to the petrophysical predictions. Prototype development was on an 8-node Intel iPSC860 computer; the production version was run on an 1824-node Intel Paragon computer. The code has been successfully ported to CRAY (T3D) and Unix workstation (PVM) environments.


Author(s):  
Duc Truong Pham ◽  
Huimin Liu

This paper presents a new approach to producing innovative design concepts. The proposed approach involves extending the inventive principles of TRIZ by integrating other TRIZ and TRIZ-inspired tools. The set of inventive principles is then structured according to a framework adapted from I-Ching and represented using TRIZ’s Behaviour-Entity (BE) formalism to which constraints have also been added. The adoption of the BE representation enables a reduction in the amount of repeated information in the inventive principles. A BE pair contains information on a design solution. A Behaviour-Entity-Constraint (BEC) triple additionally has information on constraints on the solution. The BEC representation thus facilitates the retrieval and generation of design solutions from design specifications. The paper uses the problem of laying out seats in an aircraft cabin to illustrate advantages of the proposed approach.


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