An Alternative Measurement for International Fragmentation of the Production Process: An International Input–Output Approach

2015 ◽  
pp. 81-99 ◽  
Author(s):  
Satoshi Inomata
Keyword(s):  
Production Process ◽  
Input Output ◽  
Alternative Measurement

scholarly journals Planning Educational Services

1972 ◽  
Vol 4 (1) ◽  
pp. 23-28 ◽  
Author(s):  
Fred White ◽  
Luther Tweeten
Keyword(s):  
Decision Making ◽  
Production Process ◽  
School System ◽  
Educational Services ◽  
Price Mechanism ◽  
Input Output ◽  
Efficiency Gains ◽  
Use Of Resources ◽  
Increase Efficiency

A school system can be visualized as a firm utilizing capital and labor to produce its output. It must compete with other firms in purchasing its inputs. It is broadly concerned with efficient use of resources to produce its product. However, there is no well-defined product nor a price that can be attached to its product, and most of its product is not directly sold. Users (students) exert little pressure to increase efficiency, not only because they lack mature judgment and are unaware of input-output relationships (often inputs as well as outputs are ill-defined and uncertain), but also because efficiency gains are not passed to users. Furthermore, factors outside the school system influence output throughout the long production process. Even if the price mechanism does not work, economic principles can still be used in education to improve decision making.

scholarly journals ANALISIS KETERKAITAN SEKTOR TANAMAN BAHAN MAKANAN DALAM PEREKONOMIAN WILAYAH KABUPATEN PEMALANG (DENGAN PENDEKATAN ANALISIS INPUT-OUTPUT)

2007 ◽  
Vol 7 (1) ◽  
pp. 38
Author(s):  
Ropingi Ropingi ◽  
Alamah AI Alusi
Keyword(s):  
Linkage Analysis ◽  
Production Process ◽  
Descriptive Analysis ◽  
Economic Sector ◽  
Input Output ◽  
Economic Sectors ◽  
Industry Sector ◽  
Central Java ◽  
Forward Linkage ◽  
Input Ratio

The aimed of this research was (a) to study the backward linkage and forward linkage of foodstuff plants towards another economic sector in Pemalang Regency, (b) to study how value of material requistion and service from output of another economic sector used up for production process of foodstuff plants sector in Pemalang Regency and (c) to study how value of the usage of goods and services from output of foodstuff plants used up for production process by another economic sector in Pemalang Regency. The research method used descriptive method, by using the data of I-O Table Pemalang Regency, The analysis used linkage analysis and descriptive analysis. The linkage analysis divided into the backward linkage and forward linkage. Descriptive analysis were Asses Input Ratio and Asses Request Ratio. The data employed are table data of input-output Central Java of year 2000, Domestic Product Regional Bruto of Pemalang Regency of year 2003, Pemalang in Number of year 2003. Result of the research was (a) indicates that food stuff plants have low backward linkage by looking at Spreading Index. Thus, It was low enough in using output of another economic sector in production process, (b) The output of foodstuff plants sector is highly needed by another economic sector in Pemalang Regency. It can be known by forward linkage value of foodstuff plant measuring with a high Index of Sensitivity Degree value, (c) According to descriptive analysis result, foodstuff plants sector have the lowest Asses Input Ratio. It means that foodstuff plants needs the lowest Asses input from output of production process.(d) Based on the analysis result of Asses Request Ratio, foodstuff plants sector have low Asses Request Ratio. Means that it has output used for input between another economic sectors was smaller than output used as the last consumption. Mostly, another economic sector used by foodstuff plants were industry sector and foodstuff plants sector. The other economic sector that uses foodstuff plants was industry sector and restaurant sector.

Input-Output in Personnel Management

1970 ◽  
Vol 15 (2) ◽  
pp. 115, 118
Author(s):  
WILLIAM E. COLEMAN
Keyword(s):  
Personnel Management ◽  
Input Output

Optimization of the production process of special purpose pasta with the addition of carrots and pectin

2019 ◽  
Vol 28 (9) ◽  
pp. 50-53
Author(s):  
N.N. Martynov ◽  
◽  
G.A. Sidorenko ◽  
G.B. Zinyukhin ◽  
E.Sh. Maneeva ◽  
...  
Keyword(s):  
Production Process

IMPLEMENTASI JOB ORDER COSTING METHOD DALAM PERHITUNGAN HARGA POKOK PRODUKSI MAP

2018 ◽  
Vol 4 (2) ◽  
pp. 43-55
Author(s):  
Ika Yulianti ◽  
Endah Masrunik ◽  
Anam Miftakhul Huda ◽  
Diana Elvianita
Keyword(s):  
Production Process ◽  
Quantitative Data ◽  
Production Cost ◽  
Qualitative Data ◽  
Cost Data ◽  
Method Calculation ◽  
Cost Of Production ◽  
The Right ◽  
The Cost

This study aims to find a comparison of the calculation of the cost of goods manufactured in the CV. Mitra Setia Blitar uses the company's method and uses the Job Order Costing (JOC) method. The method used in this study is quantitative. The types of data used are quantitative and qualitative. Quantitative data is in the form of map production cost data while qualitative data is in the form of information about map production process. The result of calculating the cost of production of the map between the two methods results in a difference of Rp. 306. Calculation using the company method is more expensive than using the Job Order Costing method. Calculation of cost of goods manufactured using the company method is Rp. 2,205,000, - or Rp. 2,205, - each unit. While using the Job Order Costing (JOC) method is Rp. 1,899,000, - or Rp 1,899, - each unit. So that the right method used in calculating the cost of production is the Job Order Costing (JOC) method

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.

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