Simulation modelling for productivity improvement of sorting process in a ceramic plant

Author(s):  
Nuntiya Kruethi ◽  
Seksan Chaijit ◽  
Wachirapond Permpoonsinsup ◽  
Dechathanat Thongkot ◽  
A.H. Ismail ◽  
...  
1983 ◽  
Vol 38 (4) ◽  
pp. 468-472 ◽  
Author(s):  
Raymond A. Katzell ◽  
Richard A. Guzzo

2017 ◽  
Vol 23 (1) ◽  
pp. 52-63
Author(s):  
Titik Nurbiyati

Human resource management (HRM) is a recognition of the importance of human labor as vital resources that contribute to the goals of the organization, and utilization of multiple functions and activities to ensure that they are used effectively and fairly for the benefit of individuals, organizations, and society. Now human resource management has a unique and timely opportunity to improve productivity. Eventhough, productivity improvement does not means only increase the output. In addition, the evaluation of program responsibles and meets the special needs of employees with efficient cost. It is a very effective manner that very important, as organizations are tempted to cut costs and improve quality in their company. Without evaluation, it is very difficult to demonstrate that the development is the reason for the improvement. Human Resources Development can maintain and support productivity, as well as company isolate of lack of expertise of the human resources for the current job and future. The results are used in evaluating development programs include participant satisfaction with the training and development program development, learning knowledge or skills, the use of knowledge and skills on the job, and the results such as sale, productivity, or the prevention of accidents. Evaluation can also compare costs against benefits that receive development (return on investment).


2020 ◽  
Vol 82 ◽  
pp. 199-209
Author(s):  
Mike B. Dodd ◽  
Katherine N. Tozer ◽  
Iris Vogeler ◽  
Rose Greenfield ◽  
David R. Stevens ◽  
...  

The improvement in forage quality and quantity of summer-dry hill country pasture resulting from the introduction of clover is well recognised. However, ensuring the persistence of the commonly availablecultivars is challenging, in the face of seasonal moisture stress, intensive grazing, competition from established well-adapted pasture species, low soil fertility and low soil pH – conditions typical of the East Coast of the North Island. Here we quantify the value proposition associated with the introduction of white clover into a case study on a Gisborne sheep and beef farm, using a six-step process. A topographically explicit approach is taken, using an understanding of the underlying spatial variability, based on a combination of soil and pasture measurements, APSIM simulation modelling of pasture growth and farm system modelling of enterprise performance. We show that from a baseline of a typical low-fertility, diverse species hill country pasture, white clover introduction can increase spring and summer forage consumption by 17%, enabling inclusion of an additional 6-month bull finishing enterprise generating a 32% greater carcass weight production and leading to a 49% improvement in farm system EBIT. This represents a positive net present value of over $360,000 for the original investment in white clover establishment into existing pastures.


2019 ◽  
Vol 73 (8) ◽  
pp. 779-783
Author(s):  
Hideo Yamamoto ◽  
Satoshi Wada ◽  
Mitsuru Komatsu ◽  
Masayuki Murano

2019 ◽  
Author(s):  
Jean-François Ayme ◽  
Jean-Marie Lehn ◽  
Corinne Bailly ◽  
Lydia Karmazin

<div>Two constitutional dynamic libraries (CDLs)—each containing two amines, two dialdehydes and two metal salts—have been found to self-sort, generating two pairs of imine-based metallosupramolecular architectures sharing no component, a [2×2] grid-like complex and a linear double helicate. These CDLs provided unique examples of a three-level self-sorting process, as only two imine-based ligand constituents, two metal complexes and two architectures were selected during their assembling out of all the possible combinations of their initial components. The metallosupramolecular architectures assembled were characterized by NMR, mass spectroscopy, and X-ray crystallography.</div>


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