scholarly journals An Analysis of the Effects of Feed Ingredient Price Risk on the Selection of Minimum Cost Backgrounding Feed Rations

2001 ◽  
Vol 33 (2) ◽  
pp. 353-365 ◽  
Author(s):  
Brian K. Coffey
Keyword(s):  
Programming Model ◽  
Minimum Cost ◽  
Price Risk ◽  
Net Income ◽  
Income Risk ◽  
Decision Tools ◽  
Price Series ◽  
Feed Costs ◽  
The Cost ◽  
Selection Of

AbstractThe traditional minimum cost feed ration linear programming model is expanded to permit risk management responses to price variability associated with feeding a particular ration across time. The cost minimizing objective function also considers feed costs in a mean-variance (E-V) framework. The model is specified using NRC nutrient requirements and an historic Feedstuffs price series. A decision-maker can choose his/her optimal ration by making tradeoffs between price risk and net income. The results should provide a basis for decision tools that allow livestock producers to manage the net income risk involved in the selection of a feed ration.

scholarly journals Minimum Cost Multiobjective Programming Model for Target Efficiency in Sample Selection

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Yousaf Shad Muhammad ◽  
Saima Khan ◽  
Ijaz Hussain ◽  
Alaa Mohamd Shoukry ◽  
Sadaf Shamsuddin ◽  
...  
Keyword(s):  
Multiobjective Programming ◽  
Programming Model ◽  
Sample Selection ◽  
Minimum Cost ◽  
Fixed Cost ◽  
Optimal Sample ◽  
Proposed Model ◽  
Compromise Allocation ◽  
Goal Programming Model ◽  
The Cost

In this study, we developed a model which elaborates relationship among efficiency of an estimator and survey cost. This model is based on a multiobjective optimization programming structure. Survey cost and efficiency of related estimator(s) lie in different directions, i.e., if one increases, the other decreases. The model presented in this study computes cost for a desired level of efficiency on various characteristics (goals). The calibrated model minimizes the cost for the compromise optimal sample selection from different strata when characteristic j is subject to achieve at least 1−αj level of efficiency of its estimator. In the first step, the proposed model minimizes the variance for a fixed cost, and it then finds the rise in cost for an αj percent rise in efficiency of any characteristic j. The resultant model is a multiobjective compromise allocation goal programming model.

scholarly journals Risk Analysis Of Red Tilapia Breeder In Kelompok Pembudidaya Ikan Mino Ngremboko, Ngemplak Subdistrict Sleman Regency

2019 ◽  
Vol 18 (2) ◽  
pp. 313-330
Author(s):  
Rio Andhika ◽  
Nuning Setyowati ◽  
Rr Aulia Qonita
Keyword(s):  
Variation Method ◽  
Price Risk ◽  
Income Risk ◽  
Production Risk ◽  
Red Tilapia ◽  
Seed Mortality ◽  
L Value ◽  
High Fish ◽  
Positive Results ◽  
Selection Of

This study analysed the receipts, costs, and expenses received by red tilapia seed farmers, as well as the level of production risk, price risk and expenditure risk in KPI Mino Ngremboko. The basic method used in this research was a descriptive method. This research was conducted at KPI Mino Ngremboko. The selection of research locations was conducted purposively. The sampling method used was the census method. The analysis was carried out using the coefficient of variation method. Research results there were production risks, price risk, and risk of spending on red tilapia at KPI Mino Ngremboko. The sources of risk that arise were high fish seed mortality rates, increased feed prices, and limited land to increase production. Variation coefficient value (CV) of production risk, price risk, income risk were relatively low that showed the hatchery of red tilapia has a low risk. Meanwhile, the L value of price risk, production risk, and expenditure risk were positive results and the value was greater than BEP. The value shows that when the hatchery reaches the lowest point in production, price, and income, farmers still avoid losses.

Improved Model to Determine the Tool Life and the Cutting Speed for Minimum Cost at Drilling the Steel 10TiMoNiCr175

2013 ◽  
Vol 837 ◽  
pp. 234-238
Author(s):  
Aurelian Vlase ◽  
Ovidiu Blăjină ◽  
Vlad Darie
Keyword(s):  
Tool Life ◽  
Programming Model ◽  
Cutting Speed ◽  
Minimum Cost ◽  
Machining Process ◽  
Manufacturing Activity ◽  
Nonlinear Programming Model ◽  
Improved Model ◽  
The Cost ◽  
Accuracy Of Prediction

In the specialized literature the cost of the machining process has been analyzed using a number of approaches and varying degrees of simplification to determine the optimum tool life and the tool speed. The accuracy of prediction is dependent on the degree of sophistication of the model. The purpose of this paper is the optimization of the cutting tool life and the cutting speed at the drilling of the stainless steels in terms of the minimum machining cost. A more comprehensive nonlinear programming model to minimize the total cost at the drilling of a stainless steel is developed in this paper. The optimum tool life and the associated tool speed are obtained by solving this model. The results can be taken into consideration in the educational studies and in the theoretical technical research. They can be implemented in the manufacturing activity.

scholarly journals Economic growth, nutrition and living standards in 19th century Lima: new estimates of welfare ratios using a linear programming model

2021 ◽  
Vol 28 (3) ◽  
pp. 1-24
Author(s):  
Luis Felipe Zegarra
Keyword(s):  
Linear Programming ◽  
19Th Century ◽  
Programming Model ◽  
Basic Needs ◽  
Minimum Cost ◽  
Living Standards ◽  
Linear Programming Model ◽  
Skilled Workers ◽  
Food Basket ◽  
The Cost

This study relies on a linear programming model to estimate welfare ratios in 19th century Lima. By using a linear programming model, the food basket guarantees the intake of basic nutrients at the minimum cost. The subsistence cost includes the cost of food and other basic needs. The estimates show that low-skilled workers in Lima were able to cover their basic needs in 1800-1875. The results also show that living standards of low-skilled workers declined during the Guano Era. Living standards in Lima, however, compared favorably to several cities in Europe.

scholarly journals ANALISIS RISIKO USAHA PEMBENIHAN IKAN NILA MERAH DI KELOMPOK PEMBUDIDAYA IKAN MINO NGREMBOKO KECAMATAN NGEMPLAK KABUPATEN SLEMA

2019 ◽  
Vol 18 (2) ◽  
pp. 313-330
Author(s):  
Rio Andhika ◽  
Nuning Setyowati ◽  
Rr Aulia Qonita
Keyword(s):  
Variation Method ◽  
Price Risk ◽  
Income Risk ◽  
Production Risk ◽  
Red Tilapia ◽  
Seed Mortality ◽  
L Value ◽  
High Fish ◽  
Positive Results ◽  
Selection Of

This study analysed the receipts, costs, and expenses received by red tilapia seed farmers, as well as the level of production risk, price risk and expenditure risk in KPI Mino Ngremboko. The basic method used in this research was a descriptive method. This research was conducted at KPI Mino Ngremboko. The selection of research locations was conducted purposively. The sampling method used was the census method. The analysis was carried out using the coefficient of variation method. Research results there were production risks, price risk, and risk of spending on red tilapia at KPI Mino Ngremboko. The sources of risk that arise were high fish seed mortality rates, increased feed prices, and limited land to increase production. Variation coefficient value (CV) of production risk, price risk, income risk were relatively low that showed the hatchery of red tilapia has a low risk. Meanwhile, the L value of price risk, production risk, and expenditure risk were positive results and the value was greater than BEP. The value shows that when the hatchery reaches the lowest point in production, price, and income, farmers still avoid losses.

A generalized fuzzy cost efficiency model

2020 ◽  
Vol 54 (6) ◽  
pp. 1775-1791
Author(s):  
Nazila Aghayi ◽  
Samira Salehpour
Keyword(s):  
Cost Efficiency ◽  
Minimum Cost ◽  
Extensive Literature ◽  
Data Envelopment ◽  
Fuzzy Environment ◽  
Decision Making Unit ◽  
Production Possibility Set ◽  
Fuzzy Cost ◽  
The Cost ◽  
Generalized Cost

The concept of cost efficiency has become tremendously popular in data envelopment analysis (DEA) as it serves to assess a decision-making unit (DMU) in terms of producing minimum-cost outputs. A large variety of precise and imprecise models have been put forward to measure cost efficiency for the DMUs which have a role in constructing the production possibility set; yet, there’s not an extensive literature on the cost efficiency (CE) measurement for sample DMUs (SDMUs). In an effort to remedy the shortcomings of current models, herein is introduced a generalized cost efficiency model that is capable of operating in a fuzzy environment-involving different types of fuzzy numbers-while preserving the Farrell’s decomposition of cost efficiency. Moreover, to the best of our knowledge, the present paper is the first to measure cost efficiency by using vectors. Ultimately, a useful example is provided to confirm the applicability of the proposed methods.

Main approaches to estimating the cost of shareholder equity of oil and gas producers

2020 ◽  
Vol 26 (3) ◽  
pp. 685-697
Author(s):  
O.V. Shimko
Keyword(s):  
Oil And Gas ◽  
Oil Prices ◽  
Minimum Cost ◽  
Free Cash Flow ◽  
Annual Reports ◽  
Comparative Approach ◽  
Economic Activities ◽  
Advantages And Disadvantages ◽  
Oil And Gas Producers ◽  
The Cost

Subject. The study analyzes generally accepted approaches to assessing the value of companies on the basis of financial statement data of ExxonMobil, Chevron, ConocoPhillips, Occidental Petroleum, Devon Energy, Anadarko Petroleum, EOG Resources, Apache, Marathon Oil, Imperial Oil, Suncor Energy, Husky Energy, Canadian Natural Resources, Royal Dutch Shell, Gazprom, Rosneft, LUKOIL, and others, for 1999—2018. Objectives. The aim is to determine the specifics of using the methods of cost, DFC, and comparative approaches to assessing the value of share capital of oil and gas companies. Methods. The study employs methods of statistical analysis and generalization of materials of scientific articles and official annual reports on the results of financial and economic activities of the largest public oil and gas corporations. Results. Based on the results of a comprehensive analysis, I identified advantages and disadvantages of standard approaches to assessing the value of oil and gas producers. Conclusions. The paper describes pros and cons of the said approaches. For instance, the cost approach is acceptable for assessing the minimum cost of small companies in the industry. The DFC-based approach complicates the reliability of medium-term forecasts for oil prices due to fluctuations in oil prices inherent in the industry, on which the net profit and free cash flow of companies depend to a large extent. The comparative approach enables to quickly determine the range of possible value of the corporation based on transactions data and current market situation.

Economic Aspects of Mustard Cultivation in Lakhimpur Kheri District of Uttar Pradesh

2020 ◽  
pp. 520-523
Keyword(s):  
Average Cost ◽  
Uttar Pradesh ◽  
Net Income ◽  
Economic Aspects ◽  
Positive Relation ◽  
Input Output ◽  
Output Ratio ◽  
Gross Income ◽  
Average Size ◽  
The Cost

The results revealed that on an overall average size of landholding was estimated to be 0.97 ha. The total cultivated area at all categories of sample farms were found to be irrigated. Overall average, cost of cultivation was estimated `27819.43 per ha. The cost of cultivation showed positive relation with size of holding. The cost of cultivation was highest on medium farms (`32549.25) followed by small (`31528.40 and marginal (`29171.74), respectively. Overall average, cost of production was estimated `2446.44 per hectare. On an average input-output ratio on the basis Costs A1/A2, B1, B2, C1, and C2 were recorded 1:2.86, 1:2.77, 1:1.91, 1:1.89 and 1:1.46, respectively. On the basis of Cost C2 input-output ratio was highest on marginal farms (1:1.47) followed by small (1:1.44) and medium (1:1.43), respectively. Overall average, net income and gross income were found `9859.33 and 40028.69 per ha, respectively.

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.

Determination of the minimum number of technological bases of a part

2020 ◽  
pp. 73-75
Author(s):  
B.M. Bazrov ◽  
T.M. Gaynutdinov
Keyword(s):  
Cost Price ◽  
Labor Input ◽  
Part Surface ◽  
Technological Base ◽  
Size Accuracy ◽  
Minimum Number ◽  
The Cost ◽  
Input Cost ◽  
Selection Of

The selection of technological bases is considered before the choice of the type of billet and the development of the route of the technological process. A technique is proposed for selecting the minimum number of sets of technological bases according to the criterion of equality in the cost price of manufacturing the part according to the principle of unity and combination of bases at this stage. Keywords: part, surface, coordinating size, accuracy, design and technological base, labor input, cost price. [email protected]

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