Shodhganga University: As per you signed MoU.As per you signed MoU.http://hdl.handle.net/10603/2189732020-03-30T23:35:36Z2020-03-30T23:35:36ZForced degradation studies degradation product isolation characterzation development and validation of stability indicating RP HPLC method for various drug substanceshttp://hdl.handle.net/10603/2702712020-01-22T06:10:53ZTitle: Forced degradation studies degradation product isolation characterzation development and validation of stability indicating RP HPLC method for various drug substances
Abstract: newlineStudy on multi Objective Transportation Problems and their solutions with grey situation decision making theoryhttp://hdl.handle.net/10603/2608702020-01-04T00:45:11ZTitle: Study on multi Objective Transportation Problems and their solutions with grey situation decision making theory
Abstract: Thesis is an outcome of multi-objective transportation problems and their solutions using grey situation decision making theory and fuzzy programming technique. Mathematical optimization is an important area of research in many fields of Science and Engineering. The classical optimization framework is the minimization (or maximization) of the objective(s), under the given constraints for the problem to be solved. An optimization problem may be categorized either as a singleobjective optimization problem or as a multi-objective optimization problem. In contrast to a single-objective optimization problem, a trade-off exists among the various objectives in a multi-objective optimization problem. This thesis deals with an alternative solution approach for multi-objective transportation problems has been
newlineextensively used to solve decision making problem like industrial organization, manufacturing system, developing service system, etc. Transportation problem deal with a product manufactured at different sources transport to different destinations for satisfying their demand with the minimum transportation cost possible. To fulfil the objective, the quantity of available supplies and the quantities demanded should be known. Also, the transportation cost of a unit from source to destination should be known. The model is useful for selecting optimum transportation routes based on capacity and demand of units in such a manner such that the cost of shipping or
newlinetransportation is minimum. The transportation model also helps in locating new facility for manufacturing plant when two or more number of locations is under consideration so that the total transportation cost and production costs are to be minimized so that the total transportation cost and production costs are to be minimized. Decision Making is nothing but, what action should be taken based on the
newlinecircumstances and pre-determined goals. It is not just a part of kind of management activities but also involved in the routine life of a human as well.Resource Management Problems and their solution using fuzzy programming techniquehttp://hdl.handle.net/10603/2608682020-01-04T00:44:25ZTitle: Resource Management Problems and their solution using fuzzy programming technique
Abstract: Thesis entitled Resource Management Problems And their Solution Using Fuzzy Programming Technique is an outcome of multi-objective resource allocation problem using fuzzy programming technique. Now a day s multiobjective problems are at their paramount as most of the industries undertake production not only to make profit but also look on to maximize quality, machine power, etc. Today it is also important to formulate the problem and to check its feasibility; once the problem is designed, decision maker should be able to check the degree of satisfaction of that particular problem. Decision maker should also know break-even of the problem. Certainly it is not possible to get optimal solution all the time, and quite often many companies of social media, food industries, mobile networks etc take feed-back from customer in either stars, numbers, or remark form like bad , good , Excellent etc, these kind of data help the company to check degree of satisfaction and the company can do some amendments in their products as per customers demand and requirement. These kinds of data which can be categorised in fuzzy triangular or trapezoidal numbers which help DM to decide the next production run with higher degree of satisfaction, even this kind of analysis can help DM to decide to shut down production. Mathematical optimization is an important area of research in many fields of Science and Engineering. This thesis deals with providing degree of satisfaction to DM which can help them not only to take effective decision but also to make some policies which will have direct effect on the objectives of the company. We also have adopted fuzzy possibilistic and cerdiabilistic approach to solve Multi-objective resource allocation problem.
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newlineForecasting Firm Level Illiquid Asset Volatility using Time Series based Accounting Information An Empirical Modeling Approachhttp://hdl.handle.net/10603/2608672020-01-04T00:43:40ZTitle: Forecasting Firm Level Illiquid Asset Volatility using Time Series based Accounting Information An Empirical Modeling Approach
Abstract: These above words were the inspiration of my never ending quest of finding truth. My present thesis work is an outcome of my burning desire to know the ultimate truth. I hope I receive HIS constant blessings.
newlineThe thesis presented here is a kind of empirical justification and perhaps first of its kind in Indian management literature because it puts another major contribution to the most debatable and intellectually enduring subject of Mis-pricing of assets. This topic was a constant area of collective discussions in the forums, conferences and seminars particularly limited to economists, market traders,
newlineinvestors and academicians studying the same subject.
newlineThe thesis explores the effect of incomplete market information in form utilising the two latent pricing models namely Model (others) and Model (CMP). These empirical models are based on idiosyncratic firm level published information to derive human capital (as an alternative to Illiquid asset)with methodological context to generate meaningful implications in the realm of alternative asset pricing volatility, discretionary capital buffers and alternative credit rating migrationframework. The main focus is on building a robust forecasting model for ascertaining risk emanating from human capital latent prices as specified in detail in the model process. The main striking feature to is to signal incomplete market phenomena in case the volatility derived from two different latent human capital pricing models differ significantly. A single factor model approach was adopted on low-frequency (annual) financial information for the same purposes.
newlineFinally, it is worth a mention that the entire thesis was focussed on methodological context and brought some meaningful dimension to the aspect of mispricing, incomplete markets and their relationships with illiquid assets like human capital risks. The highlight of the paper was presented in two parts, at one part the balance sheet value-at-risk exposures were determined and explained emerging from the empirical model ..