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Table eggs occupy a special importance in human nutrition, as it provides them with albumin and protein necessary for their health and growth, especially children, and are also included in many food industries, and with the high prices of eggs, especially in 2023, as in other foods, resulting from the high prices of feed, especially imported ones, it was necessary to encourage farmers and other investors to produce to increase the supply of it to work to reduce its high prices and meet the increasing demand for it, and the research aimed to prepare an economic feasibility study to establish a table egg production station in Beheira Governorate with a capacity of (30) thousand birds in three wards, in order to produce about 10 million eggs in one production cycle, i.e. every two years and about 28 thousand chickens at the end of one production cycle, and the research relied on the initial data that were collected using a questionnaire form in the personal interview for 60 poultry breeders in Beheira Governorate, and the research relied on achieving its objectives on the criteria of the economic feasibility study of projects. The research reached a number of results, the most important of which are: 1- The investment, construction and operational costs required to be provided in the first year amounted to about 32.344 million pounds, which includes all the costs that the first project pays once land, buildings, machinery, equipment and tools, which are the expenses of establishment. 2- The fixed costs of the project amounted to 727 thousand pounds calculated on salaries and 10% for maintenance and renewal, which are the costs incurred by the project, whether produced or not produced, such as employee salaries, fixed labor, salaries with contracts, and rents of all kinds. 3- The costs required to operate the project during its useful life period amounted to about 15.65 million pounds in the first year of the production cycle and estimated at about 10.65 million pounds in the second year of each production cycle. 4- The egg production from the project as an average, according to the data of the research sample, amounted to 10.5 egg plates per hen, so the project produces about 291.4 thousand egg dishes, or approximately 8.75 million eggs, with a value equivalent to 36.42 million pounds per session, or about 18.21 million pounds annually. 5- The project achieves a net profit estimated at EGP 708.1 million during 20 years, which is the estimated production period for research, and achieves an estimated internal rate of return of about 106%, and the capital recovery period for the project is about 2.8 years. 6- By studying the sensitivity and risk analysis of the project, it was found that the project is not sensitive to price fluctuations, whether in costs or revenues. [ABSTRACT FROM AUTHOR]

The review of the literature survey of transient stability constrained optimal power flow (TSCOPF) shows that only mechanical input power is used as a key parameter in the energy sensitivity approaches while generator's voltage changes are not considered. Using AC-OPF, this paper considers the effect of generator voltage changes in the calculation of energy sensitivity. To evaluate the transient stability, a new index from the family of corrected hybrid techniques is proposed and applied. It is shown that the change of the proposed index against the mentioned key parameters is linear. Thus, to reduce the computational burden of the approach, this linear property is considered to define the transient stability constraint. The proposed framework is implemented on the New England 39-bus test network. A comparison of the obtained results with those in the literature survey shows that using the proposed approach, the operation cost is decreased from 61799.68 ($/h) to 60927.86 ($/h) which achieves 1.41% saving in the fuel cost while securing the network against considered contingency. [ABSTRACT FROM AUTHOR]

The main objective of the research was studying the feasibility of investing in turning jasmine flowers into paste and oil, A stratified random sample was drawn from 6 factories producing jasmine pastes and essential oils in Gharbia Governorate during the agricultural season 2020/2021 were collected by personal interview, and secondary data secured from different sources. The results of the research showed that: 1- Areas planted, feddan productivity and production of jasmine crop in El-Gharbia Governorate have been increasing, with statistically significant rates. 2- Quantity and value of Egyptian exports of jasmine paste to the world have been increasing, with statistically significant rates. 3- The internal rate of return (IRR) on investment amounted to about 33.37%, the payback period of the project was about 3 years, and the value of the profitability index rose to about 1.59. 4- The research results showed high sensitivity project to change in the price of jasmine paste which has been ranked as the highest risk elements, plus to the change in the prices of jasmine oil, the price of solvent, and finally the price of diesel. [ABSTRACT FROM AUTHOR]

Background and Objective: The purpose of this study was to use the HELP model to estimate the leachate generation rate and its pattern in a landfill located in the semi-arid region of Iran. Materials and Methods: The input data for the model were collected through fieldwork. To evaluate the accuracy of outputs, the actual amount of leachate production has been measured on-site for 10 months. In addition, sensitivity analysis was conducted to find out the most important parameters in leachate generation in the landfill. Results: The results showed that the model was able to estimate the rate of leachate generation with an accuracy of 75.5% and the correlation between the model's estimated values and actual values was 60%. In addition. the sensitivity analysis showed that the most important factors affecting the leachate generation in the landfill were waste moisture content and rainfall, respectively. Conclusion: The model showed satisfactory performance in the prediction of leachate generation in the arid area. The model showed that the moisture content of the waste significantly contributes to leachate generation in Karaj landfill and therefore, it is suggested to identify and implement procedures to reduce the moisture content of the waste at the source of generation. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to propose a multi-objective model for determining reliable suppliers of one-shot systems. Design/methodology/approach: First, based on the evaluation indicators, the risk of each supplier is estimated. The subsets’ risks are also evaluated using the causal-effect matrix. Considering possible events for the one-shot case and analyzing a fault tree led the researchers to meet the best composition of equipment. Findings: The proposed model is capable of leading practitioners to allocate suppliers effectively when a one-shot case is considered. Research limitations/implications: The results of this study are referred to the current equipment of the focused one-shot system. Also, the results are limited to potential risks identified, evaluations related to comments, and the proposed model for the considered time interval. Practical implications: Based on the findings, applying the proposed approach can lead to an effective management tool for selecting suppliers with acceptable risk in one-shot systems. Social implication: A one-shot device is defined as a unit that can be used only once, hence the device cannot be used for testing more times. Each subset used in one-shot systems, regardless of how it supplies, has a specific risk level. Depending on what any subset provides, it also affects the factors influencing the overall system failure. Therefore, selecting appropriate suppliers is significant to ensure correct function of a system. Originality/value: The proposed model can be used as a fast and reliable method for determining appropriate suppliers for one-shot systems, whose results can be relied upon with a suitable approximation in respect of the sensitivity analysis. To the best of the authors’ knowledge, nobody else have addressed the problem in such a way. [ABSTRACT FROM AUTHOR]

The resource allocation and planning is one of most important issues in the field of administration because of its importance role could be played in raising the factory performance and to create the conditions and means for the advancement of its reality so the goal of research is to reach mix of commodity through re-allocation of resources between the various production lines which is achieved with it maximum profit margin and this optimum plant was done through collection of data from dairy Abu Ghraib factory in 2015 and adopted win QSB program to find the optimal production plan it shows the reality of factory production that loses 1,755,486,044 dinars, and when we make the basic shows it is investigating profit increased by 1,046,003,000 dinars shows that there is a surplus in the work item (93%) by you make attempts on the basic plan emerged from three alternative plans the most important of the third alternative plan - b - achieved a profit by 28,090,890,000 dinar total profit for the basic plan exceeds by 27,004,887,000 dinars decreased surplus in the work item to 24%, and when you perform a sensitivity analysis to see changes show that in the case of high variable costs by 10% has been no change in the results of the basic plan, but profit dropped for profit basis the plan by 104.6 million dinars, while in the case of high variable costs by 10% with low prices by 10% has also been some of the activities excluded which caused a loss in the target and reduced the amount of production of the quantity cream in the base plan by 196.817 tons function as some productive activities that did not appear in the basic plan emerged was this plain achieved an increase in gross profit amounted to 438.656 million dinars for the base plan, but in the case of high product prices 10% did not any change on the result of the basic plain occurs because the change at the same rate for all products was the plan achieved an increase in profit exceeds the profit for the basic plan by 104.6 million dinars, it was concluded research that the factory does not follow the scientific metod in management and there are worse in the allocation of resources and a large waste the resources for such research recommend to adopt scientific method, especially linear programming method available in the factory resource planning application for optimum productivity plans that would lead to expand the plant to increase production and profits as well as lead to the optimal allocation of economic resource available. [ABSTRACT FROM AUTHOR]