scholarly journals Microeconomic Effects Of Reduced Yield Variability Cultivars Of Soybeans And Wheat

1992 ◽  
Vol 24 (1) ◽  
pp. 121-133 ◽  
Author(s):  
Carl R. Dillon
Keyword(s):  
Production Management ◽  
Effective Means ◽  
Yield Variability ◽  
Management Decision ◽  
Wheat Cultivars ◽  
Production Risk ◽  
Management Decision Making ◽  
Programming Techniques ◽  
Decision Making Model ◽  
New Crop

AbstractEconomic analysis was conducted on hypothetical agronomic research on new crop cultivars for Arkansas dryland soybean and wheat producers. In relation to farmers' attitudes toward risk, the microeconomic effects and level of adoption of yield variability reducing cultivars were analyzed utilizing a production management decision-making model formulated with mathematical programming techniques. The study indicated that negative covariance between crops continues to be an effective means of reducing production risk associated with yield variability. However, under varying circumstances, agronomic research on the breeding of new soybean and wheat cultivars with reduced yield variability is worthwhile if there is only slight concurrent reduction in expected yields.

Economics of Farm Management

2018 ◽  
pp. 56-72
Keyword(s):  
Production Management ◽  
Farm Management ◽  
Management Decision ◽  
Entrepreneurial Spirit ◽  
Investment Opportunities ◽  
Management Decision Making ◽  
Working Together ◽  
Factors Of Production ◽  
Profit Maximisation

The concept of farm management can be defined as the organization of land, labour, capital, and management (decision-making and risk-taking) in operating a farm enterprise to meet the stated objectives including profit maximisation. Of the four fundamental factors of production, management stands out in its onerous role in organizing all the others in meeting the defined objectives of the enterprise. Onerous as the role of management as a factor of production is, it cannot work in isolation of the others. There is therefore a need to discuss farm management as a concept with due focus on the notion of entrepreneurial spirit and at the same time bring out the peculiar features of the factors of production in working together to maintain a going concern. It is against this background that this chapter discusses the concept of farm management. The specific objectives of the chapter include defining the meaning and scope of farm management, highlighting the resources available to the farm enterprise, highlighting the relevance of entrepreneurship behaviour and entrepreneurship spirit in growing an enterprise, and highlighting the importance of farm management. The methodology adopted is descriptive. It is argued in this chapter that present and prospective farm managers should essentially have entrepreneurial spirit with which to start, grow, and expand their enterprise in line with the objective of the enterprise in question. Searching out investment opportunities and effectively ploughing back profits on existing or new investments for expansion enterprise is one of the decisions of management.

Management decision-making algorithm development for planning activities that reduce the production risk level

2019 ◽  
Vol 1-2 (93) ◽  
pp. 41-49
Author(s):  
O. Kruzhilko ◽  
V. Maystrenko
Keyword(s):  
Mathematical Model ◽  
Preventive Measures ◽  
Management Decision ◽  
Expert Assessment ◽  
Management Decisions ◽  
Production Risk ◽  
Model Of Management ◽  
Management Decision Making ◽  
Expert Assessments ◽  
Industrial Risk

Purpose: Algorithm development for a measures phased expert assessment to reduce production risk at an industrial enterprise to adapt the expert method to the conditions for specific problem solving. Design/methodology/approach: To develop an algorithm for making management decisions, a step-by-step solution process was used. If the problem is solved under conditions of complete or partial uncertainty, an expert method of estimation was applied. In the mathematical model of management decision-making used criterion approach. At the same time, the methods of Sevij, Wald, and Hurwitz are considered to determine the criterion for choosing management decisions. Findings: A phased expert assessment of measures that reduce production risk at an industrial enterprise with the introduction of weighting factors in specified criteria is proposed. The expediency of applying the method of expert assessments and the Hurwitz criterion when planning measures to reduce industrial injuries is justified, since this approach links the preventive measures in the field of labour protection with the results of risk assessment and reduces subjectivity in making management decisions. Research limitations/implications: The proposed algorithm for expert assessment of measures to reduce production risk is universal for industrial enterprises. Practical implications: An algorithm has been developed to substantiate managerial decisions to reduce the production risks of the occurrence of traumatic events when planning preventive measures, which involves applying criteria for selecting measures based on the method of expert assessments and applying the Gurwitz criterion. Originality/value: Developed a consistent model of industrial risk management, which is based on a component method of assessing the risk of traumatic events and a mathematical model of management decisions. This model differs from the existing ones, taking into account all available risk-relevant information of the enterprise, stimulates preventive activity, and allows establishing the dependence of the level of industrial risk on the validity of measures on occupational safety and reducing the influence of the subjective component of expert judgments.

Research and Design of Lead-Acid Battery Manufacturing Execution System Based on Barcode Scanning

2014 ◽  
Vol 513-517 ◽  
pp. 2560-2564
Author(s):  
Xi Teng Lin ◽  
Hu Zhou ◽  
Min Na Ni ◽  
Yue Li ◽  
Sen Chen
Keyword(s):  
Production Management ◽  
Control Flow ◽  
Raw Material ◽  
Management Decision ◽  
Equipment Management ◽  
Manufacturing Execution System ◽  
Complete Control ◽  
Management Decision Making ◽  
And Control ◽  
Manufacturing Execution

This article provides a whole solution to the battery manufacturing execution system (MES) which realizes the complete control of data in battery manufacturing ． MES can improve the manufacturing efficiency. Along with many other functions like quality trace, production planning, quality management, production status monitoring, production tracking, profit forecast predicting profit, recording of exceptional production, raw material management, equipment management, report printing etc ．To remain competitive, manufacturers need MES solutions that meet their industry-specific needs. All the functions turn the battery manufacturing execution system into a production, management, decision-making supporting system which combines work flow, data flow and control flow．

Impacts On Farmers of a Computerized Management Decision‐Making Model

1981 ◽  
Vol 63 (2) ◽  
pp. 270-274 ◽  
Author(s):  
David L. Debertin ◽  
Charles L. Moore ◽  
Larry D. Jones ◽  
Angelos Pagoulatos
Keyword(s):  
Decision Making ◽  
Management Decision ◽  
Management Decision Making ◽  
Decision Making Model

scholarly journals Research of Modern Information Technology on Tree Growth Management Decision Making Model

2013 ◽  
Vol 347-350 ◽  
pp. 2418-2421
Author(s):  
Yuan Li ◽  
Wen Qing Zhang ◽  
Hua Liu ◽  
Hui Qin Yang ◽  
Xu Ning Liu
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Tree Growth ◽  
Growth Management ◽  
Growth Conditions ◽  
Management Decision ◽  
Modern Information Technology ◽  
Management Decision Making ◽  
Modern Information ◽  
Decision Making Model

Tree growth management decision-making model can simulate growth management of tree and perform quantitative analysis of tree growth conditions. This paper explores the feasibility of modern information technology in management assessment of tree growth, information technology include neural network, ontology and expert system technology, then ontology technology is used to establish ontology database and knowledge base of tree growth management resource, the growth simulation and tree growth management ontology technology are used to build simulation models of tree growth, then expert systems and neural network technology are combined to simulate tree growth development process of decision-making model. The practice has proved that the research can not only predict the growth conditions of tree and dynamic grasp the growth process of the tree, but also can provide theoretical basis for the analysis and evaluation of tree growth management, greatly improving the level of tree growth management.

scholarly journals STRUCTURING THE SYSTEM OF REDUCING MATERIAL COSTS AND TECHNOLOGICAL LOSSES OF INDUSTRIAL ENTERPRISES

2019 ◽  
Vol 7 (2) ◽  
pp. 36-40
Author(s):  
Игорь Мизиковский ◽  
Igor' Mizikovskiy
Keyword(s):  
Production Management ◽  
Production Costs ◽  
Management Decision ◽  
Industrial Enterprises ◽  
Management Actions ◽  
Management Decision Making ◽  
The Subject ◽  
Methodological Approaches ◽  
Technological Space

The article is devoted to the development of information and instrumental support system for the mode of saving production costs and reducing technological losses in the flow of value creation by an industrial enterprise. Theoretical and methodological approaches to the solution of this problem are investigated, the features of their implementation in the practices of production management of various enterprises are analyzed. The necessity of incorporation in a single technological space of subsystems of metrological support and primary cost accounting, monitoring their condition and economic diagnosis in order to form an information base for the development of management actions by the subject of management. It is proved that the application of the proposed system meets the modern criteria and parameters of productive management, improves the quality of management decision-making.

scholarly journals Management Elements for Two Alburninae Species, Alburnus alburnus (Linnaeus, 1758) and Alburnoides bipunctatus (Bloch, 1782) Based on a Decision-Support System Study Case

2019 ◽  
Vol 21 (2) ◽  
pp. 81-92
Author(s):  
Angela Curtean-Bănăduc ◽  
Ioana-Cristina Cismaş ◽  
Doru Bănăduc
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Support System ◽  
Management Decision ◽  
System Management ◽  
System Study ◽  
Management Decision Making ◽  
Study Case ◽  
Decision Making Model ◽  
Specific Management

Abstract ADONIS:CE has been used as a base to create a support-system management decision-making model for Alburnus alburnus (Linnaeus, 1758) and Alburnoides bipunctatus (Bloch, 1782) species. Investigation of the habitat necessities and the identification of the necessary elements for a good status of conservation of these two fish species populations has revealed the pressures and threats to these congener species, for which specific management activities have been finally recommended.

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