A Human-Centered Approach to the Redesign of a Bitumen Trailer

Author(s):  
Sara Pazell ◽  
Robin Burgess-Limerick

An electric heat-in-transit tanker (bitumen trailer) revolutionized the operation and design of bituminous tankers. It was developed using human-centered approaches and design philosophy, concepts, methods, and tools previously used in the mining industry. Task-based analysis was useful to contextualize opportunities and hazards. The new tanker improved efficiency in transit, reduced risk for exposure to hot bituminous product, improved access, reduced on-road travel time and risk for fatigue, optimized work performance, and challenged regulators to redefine safe transit requirements. The design process was opportunity based and highlighted the need to shift philosophy to consider performance-based needs of operators, not just equipment.

2017 ◽  
Vol 33 (2) ◽  
pp. 145-164
Author(s):  
Anita Zbieg ◽  
Jan Kudełko ◽  
Agata Juzyk ◽  
Leszek Zaremba

Abstract The paper presents result of an empirical study in which presence of values among workers of two mining squads characterized by different level of work performance has been compared. Values have been measured by two scales: Mining Values Scale (MVS) and Organizational Culture Assessment Instrument (OCAI). The squad with higher performance had significantly higher level of five out of nine values measured by (MVS); while none of the values measured by OCAI have been differentiating the squads with a statistical significance. The results suggest that Managing by Values (MBV) model for a mining corporation should rather be based on values specific for the mining industry rather than general management value set proposed by OCAI. Research results suggest also an association between presence of certain values and work satisfaction among workers.


Buildings ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 64 ◽  
Author(s):  
Hanaa Dahy

Choosing building materials is usually the stage that follows design in the architectural design process, and is rarely used as a main input and driver for the design of the whole building’s geometries or structures. As an approach to have control over the environmental impact of the applied building materials and their after-use scenarios, an approach has been initiated by the author through a series of research studies, architectural built prototypes, and green material developments. This paper illustrates how sustainable building materials can be a main input in the design process, and how digital fabrication technologies can enable variable controlling strategies over the green materials’ properties, enabling adjustable innovative building spaces with new architectural typologies, aesthetic values, and controlled martial life cycles. Through this, a new type of design philosophy by means of applying sustainable building materials with closed life cycles is created. In this paper, three case studies of research pavilions are illustrated. The pavilions were prefabricated and constructed from newly developed sustainable building materials. The applied materials varied between structural and non-structural building materials, where each had a controlled end-of-life scenario. The application of the bio-based building materials was set as an initial design phase, and the architects here participated within two disciplines: once as designers, and additionally as green building material developers. In all three case studies, Design for Deconstruction (DfD) strategies were applied in different manners, encouraging architects to further follow such suggested approaches.


The process of comminution is nondeterministic in nature, so deriving out a designated size range on crushing by fixing the parameters of the mill is not possible in mining industry. Loss of materials in huge amount is an obvious phenomenon due to under sizing of materials in transit. The aim of the paper is to predict the state of grinding and the particle size distribution (psd) during any desired stage of crushing in the ball mill. The acoustic sensors have been used to capture audio signals at different running conditions of the ball mill and analyzed to develop the prediction model. In the proposed work first Genetic Algorithm (GA) based predictive procedure is applied on the fragmented signal to extract the parameters of genetic operators and store them in a table. We also apply Gaussian Mixture Model (GMM) to obtain the psd of each fragment and Fuzzy C-means (FCM) clustering algorithm is employed to classify the distributed signal. The psd of each fragment has been stored in another table. The experiment is conducted for different raw materials with different size distribution. At run time the material grinding procedure is operated and stopped automatically based on the trained controlled parameters corresponding to the desired stage of grinding. The psd of experimental output is verified with the desired psd obtained during training and stored in the table. The proposed method exhibits significant improvement in prediction performance and outcomes are verified with the experimental results.


2016 ◽  
Vol 9 (2) ◽  
pp. 255 ◽  
Author(s):  
Elizabeth Boye Kuranchie-Mensah ◽  
Kwesi Amponsah-Tawiah

Purpose: The paper empirically compares employee motivation and its impact on performance in Ghanaian Mining Companies, where in measuring performance, the job satisfaction model is used.Design/methodology/approach: The study employed exploratory research design in gathering data from four large-scale Gold mining companies in Ghana with regards to their policies and structures in the effectiveness of motivational tools and strategies used by these companies.Findings: The study observed that, due to the risk factors associated with the mining industry, management has to ensure that employees are well motivated to curb the rate at which employees embark on industrial unrest which affect performance, and employees are to comply with health and safety rules because the industry contribute hugely to the Gross Domestic Product (GDP) of the country.Research Limitations/Implications: Limitation to the present study include the researcher’s inability to contact other mining companies. However, the study suggests possibilities for future research including contacting other mining companies, expanding the sample size, managers ensuring that the safety and health needs of staff are addressed particularly those exposed to toxic and harmful chemicals.Originality/Value: A lot of studies have been done on mining companies in the past. This paper fills a gap perceived that employees in this sector are highly motivated in spite of the challenges being faced by them, and knowing more about what keeps employees moving is still of national interest.


1997 ◽  
Vol 23 (1) ◽  
Author(s):  
M. L. Watkins ◽  
A. Elliot

Political change has, especially in the South African mining industry, created the need for the application of culturefair tests with the view of affirmative action. These tests are especially applied to measure cognitive ability, which is widely accepted to be positively correlated with work performance. The question arose whether cognitive tests are able to predict psychological readiness to perform as implicated by Hemstein and Murray's (1994) work on the "Bell Curve". In this study, no meaningful relation between cognitive ability and psychological readiness was found. This reflects some support for a multi-dimensional approach to the study of intelligence. Opsomming Politieke verandering het veral in die Suid-Afrikaanse mynbedryf, gelei tot 'n behoefte aan die toepassing van kultuurbillike toetse vir die doeleindes van regstellende aksie. Hierdie toetse word toegepas om kognitiewe vermoe te meet en daar word wyd aanvaar dat dit positief met werksprestasie korreleer. Die vraag het ontstaan of hierdie toetse daartoe in staat is om sielkundige gereedheid om te presteer, voorspel soos geimpliseer deur Hemstein en Murray (1994) se werk oor die "Bell Curve". In hierdie studie is geen betekenisvolle verband tussen kognitiewe vermoe en sielkundige gereedheid om te presteer, gevind nie. Daar word dus steun vir 'n multi-dimensionele benadering tot die bestudering van intelligensie, gevind.


Author(s):  
Murat Bayrak ◽  
S. Ilgin Guler

Transit signal priority (TSP) can be used to improve bus operations at intersections. However, implementing TSP can often increase the delay of non-transit modes. Therefore, it is necessary to evaluate the effects of TSP both on car and bus operations to determine optimal locations to equip with TSP to improve network operations. To do so, the link transmission model is used to evaluate the travel times of both cars and buses on the network while accounting for dynamic queuing and queue spillover. This method is then used to evaluate different combinations of locations for TSP implementation and to determine the optimal configuration that can minimize the total travel time of network users, including bus and car passengers. The sensitivity of the proposed algorithm to demand level, changes in transit network, implementation strategy, and solution method are also evaluated. For all tested scenarios, the TSP configurations found to be optimum achieve a significant reduction of total bus passenger travel time while creating minimal effect on total car travel time. The results reveal that in general, not all intersections should be equipped with TSP, and intersections that carry high demand within a network are promising locations for TSP implementation to reduce the total travel time of network users. Additionally, it is found that the total travel time of network users can be further decreased by only activating TSP for buses with more than a certain number of on-board passengers.


Forecasting ◽  
2020 ◽  
Vol 2 (3) ◽  
pp. 309-322
Author(s):  
Antonio Comi ◽  
Antonio Polimeni

Bus travel time analysis plays a key role in transit operation planning, and methods are needed for investigating its variability and for forecasting need. Nowadays, telematics is opening up new opportunities, given that large datasets can be gathered through automated monitoring, and this topic can be studied in more depth with new experimental evidence. The paper proposes a time-series-based approach for travel time forecasting, and data from automated vehicle monitoring (AVM) of bus lines sharing the road lanes with other traffic in Rome (Italy) and Lviv (Ukraine) are used. The results show the goodness of such an approach for the analysis and reliable forecasts of bus travel times. The similarities and dissimilarities in terms of travel time patterns and city structure were also pointed out, showing the need to take them into account when developing forecasting methods.


Author(s):  
J. B. Worfaardt

A work sample test, the Cable Joints Test, which could serve as a selection instrument for Black electrician aides in the mining industry was designed and applied with a rating scale as criterion. The predictors were scores on two testings with the work sample, an improvement score, Dudec and related job experience. A validation study (N=53) yielded low reliability coefficients and no significant correlation between predictors and criterion, but a cross validation (N=62) had shown that a combination of the second test score and Dudec combined could predict work performance. However, the multiple correlations (0,40 to 0,52) were low and the variance explained inadequate to be of any practical value in a selection battery.Opsomming'n Werkmonstertoets, die Kabellastoets, wat kan dien as keuringinstrument vir Swart elektrisiënambagmanhelpers in die mynbouindustrie is ontwerp en toegepas met 'n beoordeling- skaal as kriterium. Die voorspellers was tellings op twee toetsings met die werkmonster, 'n verbeteringtelling, Dudec en verwante werkervaring. 'n Valideringstudie (N=53) het lae betroubaarheidskoëffisiënte en geen betekenisvolle korrelasies tussen voorspellers en kriterium opgelewer nie, maar 'n kruisvalidering (N=62) het aangetoon dat 'n kombinasie van die tweede toetstelling en Dudec werkverrigting kan voorspel. Die meervoudige korrelasies (0,40 tot 0,52) was egter laag en die variansie wat verklaar word onvoldoende om van enige praktiese waarde in 'n keuringbattery te wees.


2021 ◽  
Author(s):  
Youngjoon Kim ◽  
Jinhyung Lee ◽  
Junghwan Kim ◽  
Naoto Nakajima

Transportation is a key element to understanding the socio-spatial structure of colonial cities and the lives of individuals living under colonial governance. This study investigates the disparity in transit-based travel time between colonial rulers (Japanese) and subjects (Koreans) in Colonial Seoul (Keijo) in 1936 using modern GIS and open-source transport analysis tools. Findings suggest a significant disparity in travel time to a major urban facility (i.e., City Hall) between the two population groups of the largest colonial city in the Korean peninsula.


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