The documentation is arcane, redundant and lots of it is inapplicable. I fully agree on the first sentence. I've learned a lot, so I'm trying to share my lessons learned whenever I can.
Three useful indicators of performance for a system are: Other indicators include those related to the physical resource status, such as soil fertility and structure, or vegetation cover. The criteria are calculated for a given time period, usually a season or year.
If one studies how and why these indicators vary over the medium term 2 - 5 years or the long term 5 - 15 yearsthen one can assess whether the system in question is stable and sustainable.
Thus, sustainability of a system can be ascertained by studying long-term trends in the indicators of physical resource status, management intensity, productivity, and profitability. On the basis of the preceding sections, the systems analysis process can be broken into a series of steps, each answering one of the following key questions: The structural components refer to basic resources such as edaphic, biotic, abiotic, or economic resources.
Functional assessment involves a description of inputs use of labor, cash inputs, informationoutputs food, feed, materials and their disposal home consumption, saleand the timing of when these events occur.
Management and performance analysis is needed here, including quantitative analysis. Biophysical as well as socioeconomic criteria should be used for functional assessment over a given period such as 1, 2, or 5 years.
Stability and sustainability are important considerations in this step. In all these investigations, the influence of risk and uncertainty factors e.
Future Improvements The above questions seek information on the present performance of the systems. If the task is to improve the system, then one must ask a set of additional questions: And how do those objectives match up with present system performance?
It should be noted that, although the manager's objectives and priorities for the system may not acceptable to all, they can be ascertained and recorded accurately. How could they be modified or replaced to achieve higher levels of performance? Any proposed interventions must to be appropriate and acceptable to the manager s.
Are they feasible technically, managerially, and economically? The primary focus analysis of system performance is the identification of constraints and key opportunities for improvement. This leads to a better understanding of the type of changes to structure and function that would be required to make the system perform as expected by its manger s - whether fine-tuning, incremental changes, or major changes.
However, there is a major difference in the conceptual framework and analytical methods used by natural scientists, as compared to social scientists.
For the former, research typically deals with plants, organisms, and animals under "controlled" conditions, while for the latter, research deals with people in their "natural" habitat where "controls" can be exercised only through analytical methods.
In this respect, each discipline in the natural and social sciences has different tools for studying and improving land-use production systems. An interdisciplinary, systems approach is often used in research on land-use systems, whether homogenous or mixed systems Table 2.
Research to improve any of the land-use systems shown in Table 2 would require interaction among scientists from the different disciplines. Particularly in the case of mixed systems, interdisciplinary research can be quite complex and challenging.
To be effective, team interaction should be based on a consensus on the systems analysis process and on the specific contribution to be made by each discipline to the overall research strategy.
Productive interdisciplinary research requires a leader or leaders possessing expertise in systems analysis, orientation to client farmer needs, technical know-how, and team management skills. Agroforestry systems can be classified in different ways using structural and functional considerations Table 3.
Types of land-use systems.A Review of the Theoretical and Empirical Basis of Financial Ratio Analysis. Published in The Finnish Journal of Business Economics 4/94, Runeberginkatu FIN Helsinki Finland This paper is reproduced at the University of Vaasa in the electronic format with the permission of The Finnish Journal of Business Economics.
A risk analysis framework for estimating costs holds considerable promise for improving the quality of cost estimates for Civil Works projects because it provides opportunities to explicitly address much of the uncertainty inherent in the cost estimating process.
The effectiveness of ratio analysis was also examined. calculated for the company and were used for the analysis: Total Debt Ratio, Return on Equity Ratio, Cash Ratio, Earnings per Share ratio and Dividend per share ratio.
Simple percentage increments THEORETICAL FRAMEWORK The Concept of Ratio Analysis. The proposed hybridized framework is composed of traditional Rough Set (RS) approach and classical Decision Tree (DT) induction algorithm. RS helps to identify dominant attributes and DT algorithm results in simpler, and generalized classifier.
A framework for attribute selection in marketing using rough computing and formal concept analysis. Author links open overlay panel D.P.
Acharjya a T.K. Das b. Show more. It is to be noted that all non-ratio figures shown in the Table 6 are 10 million INR. Table 6. Factor analysis can be a powerful technique, and is a great way of interpreting user behavior or opinions.
The most important take away from this approach is that factor analysis lays bare the number of choices a research must make when utilizing statistical tools, and the number of .