Performance: The Output/Input Ratio

2021 ◽  
pp. 203-223
Keyword(s):  
Input Ratio

An Economic Analysis of Tomato Production in South Gujarat

2020 ◽  
pp. 161-164
Keyword(s):  
Crop Insurance ◽  
Sampling Technique ◽  
Economic Viability ◽  
Production Economics ◽  
Net Income ◽  
Insurance Scheme ◽  
Tomato Production ◽  
Input Ratio ◽  
Selection Of ◽  
High Output

ABSTRACT The study was conducted in South Gujarat for examining the production economics of tomato in the study area. Multistage random sampling technique was employed for the selection of 120 tomato farmers from Kaparada, Mandvi and Vyara talukas of Valsad, Surat and Tapi district, respectively. The net income of 1.57 lakh/ha showed the economic viability of the crop in the study area with a high output-input ratio of 3.25. It was suggested that the timely supply of credit and crop insurance scheme could further encourage growers for tomato production.

scholarly journals A DEA-Based Complexity of Needs Approach for Hospital Beds Evacuation during the COVID-19 Outbreak

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Thyago C. C. Nepomuceno ◽  
Wilka M. N. Silva ◽  
Késsia T. C. Nepomuceno ◽  
Isloana K. F. Barros
Keyword(s):  
Data Envelopment Analysis ◽  
Production Capacity ◽  
Data Envelopment ◽  
Epidemic Outbreak ◽  
Medical Specialties ◽  
Hospital Beds ◽  
First Results ◽  
Capacity Measure ◽  
Moderate Complexity ◽  
Input Ratio

Data envelopment analysis (DEA) is a powerful nonparametric engineering tool for estimating technical efficiency and production capacity of service units. Assuming an equally proportional change in the output/input ratio, we can estimate how many additional medical resource health service units would be required if the number of hospitalizations was expected to increase during an epidemic outbreak. This assessment proposes a two-step methodology for hospital beds vacancy and reallocation during the COVID-19 pandemic. The framework determines the production capacity of hospitals through data envelopment analysis and incorporates the complexity of needs in two categories for the reallocation of beds throughout the medical specialties. As a result, we have a set of inefficient healthcare units presenting less complex bed slacks to be reduced, that is, to be allocated for patients presenting with more severe conditions. The first results in this work, in collaboration with state and municipal administrations in Brazil, report 3772 beds feasible to be evacuated by 64% of the analyzed health units, of which more than 82% are moderate complexity evacuations. The proposed assessment and methodology can provide a direction for governments and policymakers to develop strategies based on a robust quantitative production capacity measure.

Construction of the structural definition-based terminology ontology system and semantic search evaluation

2016 ◽  
Vol 34 (4) ◽  
pp. 705-732 ◽  
Author(s):  
Young Man Ko ◽  
Min Sun Song ◽  
Seung Jun Lee
Keyword(s):  
Keyword Search ◽  
Relevant Information ◽  
Semantic Search ◽  
Research Papers ◽  
Inference Control ◽  
Content Type ◽  
Search Results ◽  
Input Ratio ◽  
Structural Definition ◽  
Term Data

Purpose The purpose of this paper is to construct a structural definition-based terminology ontology system that defines the meanings of academic terms on the basis of properties and links terms with properties that are structured by conceptual categories (classes). This study also aims to test the possibility of semantic searches by generating inference rules and setting very complicated search scenarios. Design/methodology/approach For the study, 55,236 keywords from the articles of the “Korea Citation Index” were structurally defined and relationships among terms and properties were built. Then, the authors converted the RDB data into RDF and designed ontologies using the ontology developing tool Protégé. The authors also tested the designed ontology with the inference engine of the Protégé editor. The generated reference rules were tested by TBox and SPARQL queries. Findings The authors generated inference control rules targeting high-input-ratio data in the properties of classes by calculating the input ratio of real input data in the system, and then the authors executed a semantic search by SPARQL query by setting very complicated search scenarios, for which it would be difficult to deduce results via a simple keyword search. As a result, it was confirmed that the search results show the logical combination of semantically related term data. Practical implications The proposed terminology ontology system was constructed with the author keywords from research papers, it will be useful in searching the research papers which include the keywords as search results by the complex combination of semantic relation. And the Structural Terminology Net database could be utilized as an index database in retrieval services and the mining of informal big data through the application of well-defined semantic concepts to each term. Originality/value This paper presented a methodology for supporting IR using expanded queries based on a novel model of structural terminology-based ontology. The user who wants to access the specific topic can create query that brings the semantically relevant information. The search results show the logical combination of semantically related term data, which would be difficult to deduce results via traditional IR systems.

Crop energy balance study of cotton-chickpea cropping sequence under organic and inorganic fertilizer sources in western Maharashtra

2016 ◽  
Vol 39 (1) ◽  
Author(s):  
Nitin Gudadhe ◽  
M. B. Dhonde ◽  
N. A. Hirwe ◽  
N. M. Thete
Keyword(s):  
Energy Balance ◽  
Crop Production ◽  
Energy Input ◽  
Inorganic Fertilizer ◽  
Energy Output ◽  
Cost Ratio ◽  
Balance Study ◽  
Benefit Cost Ratio ◽  
Cropping Sequence ◽  
Input Ratio

This study was conducted during the year 2006-07 and 2007-08 to determine how energy balances of crop production are affected by cotton-chickpea cropping sequence and different sources of organic and inorganic fertilizer under the semi-arid conditions of western Maharashtra. The energy input and output, energy balance per unit input ratio and the energy output/ input ratio were varied significantly individually to cotton and chickpea during both the years. However on pooled mean basis to cotton-chickpea cropping sequence, the energy input, output and energy balance were significantly higher by application of (RDF) Recommended Dose of Fertilizer according to Soil Test Crop Response (STCR) equation to cotton and 100% RDF to chickpea. Significantly higher energy balance per unit input and energy output per input ratio (6.46 MJ/ ha and 7.46) were recorded by 100% RDF + 10 FYM/ha to cotton and it was 5.72 MJ/ha and 6.72 by 100% RDF to chickpea. Application of RDF according to STCR equation (₹ 64960 and 3.07) to cotton and 100% RDF (₹ 46744 and 2.23) application to chickpea registered higher net monetary returns and benefit cost ratio respectively.

scholarly journals Assessing the Economic and Energy Use Efficiencies of Direct Seeded and Transplanted Rice (Oryza sativa L.) in Lamjung, Nepal

2016 ◽  
Vol 4 (2) ◽  
pp. 172-177
Author(s):  
K. Thapa ◽  
A. Shrestha ◽  
M. P. Neupane ◽  
L. P. Amgain
Keyword(s):  
Oryza Sativa ◽  
Energy Use ◽  
Oryza Sativa L ◽  
Block Design ◽  
Agricultural System ◽  
Cost Ratio ◽  
Energy Use Efficiency ◽  
Direct Seeded ◽  
Use Efficiency ◽  
Input Ratio

To meet the basic food needs of expanding human population a productive sustainable agricultural system must become a major priority in Nepal. An on-farm study was conducted to investigate the economic and energy use efficiencies of rice (Oryza sativa L.) under direct seeded (DSR) and transplanted (TPR) conditions at Lamjung campus. Five varieties of rice differing in phenology and growth (viz. US382, Sukha dhan, NR10676, NR10490 and Khumal10) were tested in Randomized Complete Block Design under DSR and TPR conditions with three replications. The statistical resulted revealed that the average grain yield was highest for TPR-NR10490 (7.52t ha-1), whereas the lowest in DSR- NR10676 (1.96t ha-1). The output energy obtained from grain and biomass yield was highest under TPR-NR10490 (2.05x105MJ ha-1) followed by the lowest in DSR-NR10676 (7.35x104MJ ha-1). In TPR-NR10490 the most energy use efficiency (output-input ratio of 9.22) was obtained whereas in TPR-Sukha dhan, energy use efficiency (output-input ratio of 1.01) was least. Partial-factor productivity and nutrient uptake was highest in TPR-NR10490 and the lowest in DSR- NR10676. The maximum productivity and profitability was recorded in TPR-NR10490 while reverse in DSR-Sukha dhan. The benefit cost ratio was found highest in TPR- NR10490 (4.45) and lowest in DSR-Sukha dhan (2.31). From above result, NR10490 was found to be the best variety under transplanted condition.Int J Appl Sci Biotechnol, Vol 4(2): 172-177  

scholarly journals Impact of ERP Implementation on Productivity and Profitability: An Empirical Study on the Largest Bangladeshi Steels Manufacturer

2020 ◽  
Vol 3 (4) ◽  
pp. 88-94
Author(s):  
Mohammad Rokibul Kabir
Keyword(s):  
Technology Adoption ◽  
Inventory Management ◽  
Manufacturing Sector ◽  
Erp Implementation ◽  
Enterprise Resources Planning ◽  
Implementation Period ◽  
Inventory Turnover ◽  
The Impact ◽  
Resources Planning ◽  
Input Ratio

The research aims to evaluate the impact of Enterprise Resources Planning (ERP) implementation on the productivity and profitability of BSRM Steels Limited. The study focuses on addressing the gap in technology adoption literature by undertaking an empirical comparison of the impact of ERP implementation. Five productivity variables called service time, lead time, inventory turnover, output-input ratio, and warehouse cost are evaluated. Gross Profit Margin represents profitability as ERP is mainly implemented in the inventory management system of BSRM. Paired sample t-tests between the pre and post ERP performances have been used to evaluate the impact of ERP. Ten years' data ranging from 2010 to 2019 have been considered for the study.  Five years' data (2010-2014) consist of before ERP period, and the other five years' data (2015-2019) represent after ERP implementation period. The study reveals that both the productivity and profitability of BSRM have significantly improved after ERP implementation. This paper will have an impactful contribution to the academic literature of technology adoption in the manufacturing sector, particularly for ERP implementation in the steel industry of Bangladesh, which could be supportive for further study on the topic.

scholarly journals Phenotypic assortment in Tetrahymena thermophila: assortment kinetics of antibiotic-resistance markers, tsA, death, and the highly amplified rDNA locus.

Genetics ◽  
1988 ◽  
Vol 120 (2) ◽  
pp. 389-395
Author(s):  
E V Merriam ◽  
P J Bruns
Keyword(s):  
Antibiotic Resistance ◽  
Random Distribution ◽  
Tetrahymena Thermophila ◽  
Single Gene ◽  
Rdna Locus ◽  
Phenotypic Assortment ◽  
Resistance Markers ◽  
Kinetics Of ◽  
Input Ratio ◽  
As If

Abstract Phenotypic assortment in Tetrahymena thermophila results from random distribution of alleles during amitotic division of the macronucleus. The rate of assortment is dependent on input ratio and the number of assorting units. The assortment of the antibiotic resistance markers Chx, Mpr and gal was determined and is consistent for each with the model of 45 assorting chromosomes. The gene tsA (previously ts-1) shows normal assortment, in contrast to previous reports. A mutation in the highly amplified ribosomal locus (rdnA2) assorts as if present at only 45 copies. Death of clones occurred at a rate consistent with assortment for a single gene.

scholarly journals Evaluation of coffee separating machines

1969 ◽  
Vol 71 (1) ◽  
pp. 113-120
Author(s):  
Megh R. Goyal ◽  
Félix R. Rivera-Negrón ◽  
Evangelina Recio de Hernández
Keyword(s):  
Puerto Rico ◽  
Type Model ◽  
Type I ◽  
Type Ii ◽  
Coffee Beans ◽  
Model C ◽  
Input Ratio

This study describes performance of four separators (Strich's model A, Atienza type I model B, Atienza type II model C and Quin Mattel type model D) to separate coffee beans from coffee harvested by nets on private plantations in Adjuntas, Puerto Rico. Collection unit yielded a bean content (wet basis) of 79.7, 92.8, 79.4 and 73.7 percent for models A, B, C, D, respectively. It gave a trash content (wet basis) of 7.2% for model B, 20.3% for model A, 20.6% for model C and 26.3% for model D compared to a bean loss of 0.9% in model D, 1.8% in model C. Machine output was 73.8 kg/hr for model A compared to 179.8 for model C, 724.9 for model B and 1673.5 for model D. The machine output-input ratio (wet basis) was 0.60, 0.57, 0.68 and 0.61 for models A, B, C and D, respectively.

scholarly journals Controls on the 36Cl/Cl input ratio of paleo-groundwater in arid environments: New evidence from 81Kr/Kr data

2021 ◽  
Vol 762 ◽  
pp. 144106
Author(s):  
Roi Ram ◽  
Roland Purtschert ◽  
Eilon M. Adar ◽  
Michael Bishof ◽  
Wei Jiang ◽  
...  
Keyword(s):  
Arid Environments ◽  
New Evidence ◽  
Input Ratio
Sign in / Sign up

Export Citation Format

Share Document