A von Neumann Representation of Lonergan's Production Model

1989 ◽  
Vol 1 (3) ◽  
pp. 317-330 ◽  
Author(s):  
Peter Burley
Keyword(s):  
Production Model ◽  
Von Neumann

Lectures on von Neumann Algebras

2019 ◽  
Author(s):  
Serban-Valentin Stratila ◽  
Laszlo Zsido
Keyword(s):  
Von Neumann Algebras ◽  
Von Neumann

A case study on year round fodder production scheme for smallholder dairy producers in Bangladesh

2020 ◽  
Vol 26 (1-2) ◽  
pp. 79-102
Author(s):  
NR Sarker ◽  
F Tabassum D Yeasmin ◽  
MA Habib ◽  
MR Amin
Keyword(s):  
Dairy Cows ◽  
Family Income ◽  
Live Weight ◽  
Production Model ◽  
Variable Cost ◽  
Small Scale ◽  
Common Salt ◽  
Cost Ratio ◽  
Her Family ◽  
Fodder Production

This study was undertaken to develop a year round fodder production model for small scale dairy farmers. Five pregnant dairy cows of Red Chittagong Cattle (RCC) genotype were selected. For rearing five cows, 66 decimal of land was selected from existing fodder plots under Pachutia Research Farm at Bangladesh Livestock Research Institute (BLRI), Savar, Dhaka. The selected land was divided into two parts (33 decimal in each). One part was brought under perennial (Napier-4 and Splendida) and the 2nd part of land for seasonal (Maize & Matikalai) fodder production. Data on live weight and live weight gain of cows, birth weight of calves, feed intake, milk production, actual biomass yield for both perennial and seasonal fodder, yearly manure production were recorded and calculated. Napier-4 grass, splendida, maize, straw, silage were supplied to the experimental cows according to the seasonal availability in different months. Concentrate mixture were also supplied consisting of wheat bran, kheshari (red gram), soybean meal, maize crushed, til oil cake, DCP and common salt. Economics of the model revealed that considering the sale of milk, calves and manure and cost included only feed and land leased, a farm/family rearing 5 indigenous dairy cows with his/her family labours, he/she could earn around BDT 98 thousand in a year (1$ = 85 BDT) and the benefit cost ratio of the model on total variable cost and total cost were 1.86 and 1.66, respectively. Therefore, it may be recommended that a farmer having 5 adult dairy cows with 66 decimal land under fodder cultivation may earn substantial share of his/her family income as small-scale rural dairying. Bang. J. Livs. Res. Vol. 26 (1&2), 2019: P. 89-102

John von Neumann

2004 ◽  
Vol 174 (12) ◽  
pp. 1371 ◽  
Author(s):  
Mikhail I. Monastyrskii
Keyword(s):  
John Von Neumann ◽  
Von Neumann

DECISION-MAKING ON INVESTMENT OF IT-INNOVATION BASED ON FUZZY EXPERT INFORMATION

2018 ◽  
pp. 103-111
Author(s):  
Olga Olegovna Eremenko ◽  
Lyubov Borisovna Aminul ◽  
Elena Vitalievna Chertina
Keyword(s):  
Decision Making ◽  
Individual Characteristics ◽  
Production Model ◽  
Investment Management ◽  
It Projects ◽  
Product Model ◽  
Project Cost ◽  
Reasoning System ◽  
Managerial Decisions ◽  
The Individual

The subject of the research is the process of making managerial decisions for innovative IT projects investing. The paper focuses on the new approach to decision making on investing innovative IT projects using expert survey in a fuzzy reasoning system. As input information, expert estimates of projects have been aggregated into six indicators having a linguistic description of the individual characteristics of the project type "high", "medium", and "low". The task of decision making investing has been formalized and the term-set of the output variable Des has been defined: to invest 50-75% of the project cost; to invest 20-50% of the project cost; to invest 10-20% of the project cost; to send the project for revision; to turn down investing project. The fuzzy product model of making investment management decisions has been developed; it adequately describes the process of investment management. The expediency of using constructed production model on a practical example is shown.

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