Classification of basic production plant petroleum-processing industry (a discussion)

1967 ◽  
Vol 3 (12) ◽  
pp. 850-852
Author(s):  
O. D. Lukshina
Keyword(s):  
Production Plant ◽  
Petroleum Processing ◽  
Processing Industry ◽  
Petroleum Processing Industry ◽  
Basic Production

A method of determining the scopes for improving the utilization of basic plant in the petroleum processing industry

1969 ◽  
Vol 5 (5) ◽  
pp. 351-355
Author(s):  
P. S. Gusev ◽  
E. A. Shapiro ◽  
V. M. Kirpichev
Keyword(s):  
Petroleum Processing ◽  
Processing Industry ◽  
Basic Plant ◽  
Petroleum Processing Industry

Pilot scale removal of per- and polyfluoroalkyl substances and precursors from AFFF-impacted groundwater by granular activated carbon

2020 ◽  
Vol 6 (4) ◽  
pp. 1083-1094 ◽  
Author(s):  
Alix E. Rodowa ◽  
Detlef R. U. Knappe ◽  
Sheau-Yun Dora Chiang ◽  
Dirk Pohlmann ◽  
Catharine Varley ◽  
...  
Keyword(s):  
Pilot Scale ◽  
Petroleum Processing ◽  
Processing Industry ◽  
Scale Removal ◽  
Us Military ◽  
Film Forming ◽  
The Us ◽  
Petroleum Processing Industry ◽  
Polyfluoroalkyl Substances ◽  
Fire Stations

The US military, municipal fire stations, airports, and the petroleum-processing industry have used aqueous film forming foam (AFFF) to extinguish hydrocarbon-based fires.

Stages of commissioning of capacities in the petroleum processing industry

1967 ◽  
Vol 3 (5) ◽  
pp. 341-342
Author(s):  
M. I. Rimer ◽  
Yu. K. Maksimets
Keyword(s):  
Petroleum Processing ◽  
Processing Industry ◽  
Petroleum Processing Industry

Cytogenetic investigations of human subjects occupationally exposed to chemicals from the petroleum-processing industry

1989 ◽  
Vol 48 (2) ◽  
pp. 145-153 ◽  
Author(s):  
Maria Simeonova ◽  
Veneta Georgieva ◽  
Chavdar Alexiev
Keyword(s):  
Human Subjects ◽  
Petroleum Processing ◽  
Processing Industry ◽  
Occupationally Exposed ◽  
Petroleum Processing Industry

Factors increasing plant returns in the petroleum processing industry

1968 ◽  
Vol 4 (10) ◽  
pp. 745-746
Author(s):  
A. F. Zimin ◽  
A. F. Bryugeman
Keyword(s):  
Petroleum Processing ◽  
Processing Industry ◽  
Petroleum Processing Industry

A classification of logistic outsourcing levels and their impact on service performance: Evidence from the food processing industry

2010 ◽  
Vol 124 (1) ◽  
pp. 75-86 ◽  
Author(s):  
H.I. Hsiao ◽  
R.G.M. Kemp ◽  
J.G.A.J. van der Vorst ◽  
S.W.F. (Onno) Omta
Keyword(s):  
Food Processing ◽  
Service Performance ◽  
Food Processing Industry ◽  
Processing Industry

The effect of intravenous infusion of glucose on ethanol stability of milk in Holstein dairy cows

2003 ◽  
Vol 2003 ◽  
pp. 132-132
Author(s):  
S. S. Sobhani ◽  
R. Valizadeh ◽  
A. A. Naserian
Keyword(s):  
Dairy Cows ◽  
Critical Factor ◽  
Negative Energy ◽  
Casein Micelles ◽  
Processing Industry ◽  
Milk Serum ◽  
Dairy Processing ◽  
Ethanol Stability ◽  
Initial Classification

The alcohol test is used as the initial classification of milk in dairy farms. It’s used as a measure of the natural pH of milk, which is a critical factor for stabilizing casein micelles in milk serum phase during heating (Barros et al., 2000). In practical conditions the test could be also positive immediately after milking, and this type of milk is rejected by dairy processing industry. An experiment was conducted to evaluate the effects of negative energy balance and low level of blood glucose on incidence of alcohol-positive milk in Holstein high milking cows (Sobhani et al., 2002).

scholarly journals Analisis sektor unggulan perekonomian Indonesia: Model input-output

SOROT ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. 119
Author(s):  
Armelly Armelly ◽  
Muhammad Rusdi ◽  
Esti Pasaribu
Keyword(s):  
Agricultural Sector ◽  
Analysis Data ◽  
Input Output ◽  
Microsoft Excel ◽  
Processing Industry ◽  
Output Table ◽  
Industry Sector ◽  
Forward Linkage ◽  
Backward Linkages

Penelitian ini bertujuan untuk mengetahui peranan  sektor  ekonomi termasuk  bagaimana  keterkaitan masing-masing  sektor tersebut mempengaruhi  ekonomi di Indonesia. Penelitian ini menggunakan  data Tabel Input-Output Indonesia  menurut  Harga Dasar Klasifikasi 17  Sektor yang  diagregasi  menjadi 9  sektor. Metode  analisis  dilakukan  menggunakan input-output  model  yang  penghitungannya dibantu  dengan menggunakan  program Microsoft Excel. Dari penelitian, didapatkan bahwa sektor  industri  pengolahan memperlihatkan keterkaitan langsung kedepan dengan nilai tertinggi. Hal ini dapat ditafsirkan bahwa pertumbuhan ekonomi Indonesia  lebih  banyak dipengaruhi  oleh pertumbuhan sektor  industri  pengolahan dan memberikan makna bahwa basis perekonomian Indonesia saat ini bertumpu pada sektor industri pengolahan. Lebih jauh lagi, sektor  industri  pengolahan memiliki hubungan besar dengan sektor pertanian dimana sektor ini merupakan penyumbang input antara terbesar bagi sektor pertanian. Dengan demikian, kemajuan pada sektor industri pengolahan akan serta merta memajukan sektor pertanian sebagai multiplier efeknya.This study aims to  analyze  the magnitude of the forward  and  backward linkages  of the any sector with others. The data used in this study were data from Indonesia Input-Output Table Domestic Transaction on the Basic Prices Classification of 17 sectors aggregated into 9 sectors obtained from Central Bureau of Statistics Republic of Indonesia (BPS). The method of analysis data was using the input-output model whose calculations assisted by Microsoft Excel program. The results showed that processing industry sector was a greatest total forward linkage. For that, we can say that economics growth in Indonesia still having processing industry as a leading sector. Further, this sector was having a big relationship with agricultural sector which contributed as a bigest input for agriculture. In conclusion, any development in processing industri sector will be develop agricultural sector as multiplyer effect.

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