| Title: |
The Influence of Total Quality Management and Occupational Health and Safety on Operational Performance at PT. BS |
| Authors: |
Mawih, Niken Sulistyowati |
| Source: |
International Journal of Latest Research in Engineering and Management, pp 01 - 05, Vol 03 - No. 03, 2019 |
| Abstract: |
The aim of this research is to examine the effect of total quality management (TQM) and Occupational Health and Safety (OHS) on PT. BS's operational performance. The data used is the primary data obtained through questionnaires prepared with closed questions and the scale used is semantic differential. The research type was associative causal with quantitative approach, the sample used was 220 samples to meet the requirement of maximum likelihood estimation (ML) regression, structural equation modeling (SEM) developed in this research and regression analysis using AMOS computer program. This study founded that TQM implementation has a positive influence on the operational performance of the company as well as the implementation of OHS has a positive influence on the company's operational performance if in its implementation, the company builds a good understanding and done consistently. |
| Keywords: |
TQM, OHS ,Operational Performance, Causal Associative, ML, SEM - AMOS. |
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| Title: |
Test Computational for The Analytical Estimate of the Epidemiological Infection Models with Control |
| Authors: |
Hernán O. Cortez Gutiérrez, Milton M. Cortez Gutiérrez, Girady I.Cortez Fuentes Rivera, Deolinda E. Fuentes Rivera Vallejo, Liv Cortez Fuentes Rivera |
| Source: |
International Journal of Latest Research in Engineering and Management, pp 06 - 08, Vol 03 - No. 03, 2019 |
| Abstract: |
We analyze the máximum number of infectad model. By means of a numerical simulation of the SIR mathematical model with the MATLAB software, the dynamics of the three components, especially of the infected ones, was estimated considering a step wise control. It has been observed the efective impact with the control on the three components especially for the infected has been detected a decrease. Analytical and computacional approaches can be used without any variation in the results. The Infected component may decrease with appropriate controls. |
| Keywords: |
epidemic model with control; analytical estimates; simulation of differential equations |
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| Title: |
Chiller Plant Energy Optimization Modeling and Decision Analysis |
| Authors: |
Chun-Wei Chen, Ssu-Yu Chen, Chun-Chang Li, Chen-Yu Lin |
| Source: |
International Journal of Latest Research in Engineering and Management, pp 09 - 14, Vol 03 - No. 03, 2019 |
| Abstract: |
The objective of this study was to identify a method that would enable a chiller plant to achieve the lowest possible operation energy consumption. Using mathematical programming, this study adopted the actual cooling capacity required by an air conditioning system as a basis for considering the operating performance and condition of each chiller plant component as well as the relationship among components to construct a decision analysis model for chiller plant energy optimization. The problem-solving performances of various algorithms were investigated. Finally, the model architecture and the algorithm that showed most satisfactory performance were employed to establish a decision analysis model for chiller plant energy optimization, which can serve as an objective reference for enabling chiller plant designers and operators to perform optimized equipment control. |
| Keywords: |
central air conditioning system, chiller plant, energy optimization, mathematical programming, decision support system |
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| Title: |
Financial Contagion-A Contributor to Systemic Risk |
| Authors: |
Allan A. L. L. Amalia, Hong Fan |
| Source: |
International Journal of Latest Research in Engineering and Management, pp 15 - 22, Vol 03 - No. 03, 2019 |
| Abstract: |
In financial markets, the tendency for bank-specific risks to spillover to other banks and to the rest of the economy is regarded as contagion. Understanding how contagion works among financial institutions is currently a top priority for regulators and policy makers in the financial sector. In this review paper we look at Contagion Risk and its characteristics. Cross-border linkages among banking systems of different countries are undoubtedly related to transmission channels of systemic risk. Larger cross-border exposures are likely to increase bank risk.One main cause of systemic risk is information contagion, when investors are sensitive to news about the health of the financial system, bad news about one financial institution can unfavorably leak over to other financial institutions. Ultimately, policy makers and regulatory authorities have an important role in controlling Financial Contagion. |
| Keywords: |
Financial Contagion, Interbank Network, Systemic Risk, Interconnectedness |
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