295. Energy Expenditure Prediction of Jobs Using Material Handling Devices

1999 ◽  
Author(s):  
C.B. Woolley ◽  
D.B. Chaffin ◽  
J.W. Boyle
Author(s):  
Harwinder Singh ◽  
Amandeep Singh ◽  
Paramjit Singh Bilga ◽  
Lakhwinder Pal Singh

<p class="MainHeadings">The present study aimed to evaluate energy expenditure of workers engaged in a manual material handling task .The various factors/sub factors influencing energy expenditure with physical impact on the human body were prioritized in terms of weight values by using the Analytical Hierarchy Process. The study included a sample of sixty male workers with a mean age ± SD of 40.34 ± 7.65, data with respect to their job activity and physical characteristics were collected using a validated questionnaire. The results showed an average working heart rate ± SD of 124.5±12.24 beats/min and average energy expenditure ± SD of 3370.33 ± 283.86 kcal; these are clear indicators of strenuous activity. The results of the AHP evaluation showed physical workload (PW) as the most important factor followed by physical work capacity (PWC), type of activity (TOA), organizational factors (OF) and personal factors (PF) with weight values of 0.454139, 0.252781, 0.129274, 0.125318 and 0.038488 respectively. The study concluded with prioritization of various factors contributing to a high rate of energy expenditure which may lead to overexertion and musculoskeletal injuries. The findings indicated an utmost need to redesign job content with the addition of some periods of break time in order for the body to recover from the excessive energy expenditure.</p>


Author(s):  
J.N. Ramsey ◽  
D.P. Cameron ◽  
F.W. Schneider

As computer components become smaller the analytical methods used to examine them and the material handling techniques must become more sensitive, and more sophisticated. We have used microbulldozing and microchiseling in conjunction with scanning electron microscopy, replica electron microscopy, and microprobe analysis for studying actual and potential problems with developmental and pilot line devices. Foreign matter, corrosion, etc, in specific locations are mechanically loosened from their substrates and removed by “extraction replication,” and examined in the appropriate instrument. The mechanical loosening is done in a controlled manner by using a microhardness tester—we use the attachment designed for our Reichert metallograph. The working tool is a pyramid shaped diamond (a Knoop indenter) which can be pushed into the specimen with a controlled pressure and in a specific location.


2020 ◽  
Vol 134 (5) ◽  
pp. 473-512 ◽  
Author(s):  
Ryan P. Ceddia ◽  
Sheila Collins

Abstract With the ever-increasing burden of obesity and Type 2 diabetes, it is generally acknowledged that there remains a need for developing new therapeutics. One potential mechanism to combat obesity is to raise energy expenditure via increasing the amount of uncoupled respiration from the mitochondria-rich brown and beige adipocytes. With the recent appreciation of thermogenic adipocytes in humans, much effort is being made to elucidate the signaling pathways that regulate the browning of adipose tissue. In this review, we focus on the ligand–receptor signaling pathways that influence the cyclic nucleotides, cAMP and cGMP, in adipocytes. We chose to focus on G-protein–coupled receptor (GPCR), guanylyl cyclase and phosphodiesterase regulation of adipocytes because they are the targets of a large proportion of all currently available therapeutics. Furthermore, there is a large overlap in their signaling pathways, as signaling events that raise cAMP or cGMP generally increase adipocyte lipolysis and cause changes that are commonly referred to as browning: increasing mitochondrial biogenesis, uncoupling protein 1 (UCP1) expression and respiration.


1987 ◽  
Author(s):  
P. Christopher Earley ◽  
Pauline Wojnaroski ◽  
William Prest
Keyword(s):  

Author(s):  
U Elbelt ◽  
V Haas ◽  
T Hofmann ◽  
S Jeran ◽  
H Pietz ◽  
...  

2019 ◽  
Vol 12 (1) ◽  
pp. 7-20
Author(s):  
Péter Telek ◽  
Béla Illés ◽  
Christian Landschützer ◽  
Fabian Schenk ◽  
Flavien Massi

Nowadays, the Industry 4.0 concept affects every area of the industrial, economic, social and personal sectors. The most significant changings are the automation and the digitalization. This is also true for the material handling processes, where the handling systems use more and more automated machines; planning, operation and optimization of different logistic processes are based on many digital data collected from the material flow process. However, new methods and devices require new solutions which define new research directions. In this paper we describe the state of the art of the material handling researches and draw the role of the UMi-TWINN partner institutes in these fields. As a result of this H2020 EU project, scientific excellence of the University of Miskolc can be increased and new research activities will be started.


2020 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Kuswanto Kuswanto ◽  
Juan Junius ◽  
Anita Christine Sembiring

Facility layout is integrated planning of the flow of a product in an operating system to obtain the most effective and efficient interrelation between workers, materials, machinery, and equipment as well as handling and transferring materials. A company engaged in furniture manufacturing has a problem in its production process, namely, the distance between machines is too far so that it affects the cost of handling materials. Distant workstations are found on profile machines, milling machines, measuring machines, cutting machines. Therefore, improvements must be made to the layout of facilities on the production floor so that facility layout is efficient and material handling costs are reduced. The problem-solving approach used is the Graph Method and CRAFT Algorithm. The results of the research show that material handling costs are reduced by 7.58% or Rp. 17,765 using the CRAFT algorithm.


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