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Manisha Pal

Bio: Manisha Pal is an academic researcher from University of Calcutta. The author has contributed to research in topics: Optimal design & Mixture model. The author has an hindex of 15, co-authored 84 publications receiving 861 citations.


Papers
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Book ChapterDOI
01 Jan 2014
TL;DR: The purpose of this chapter is to describe some application areas of mixture experiments, taken up in the context of agricultural/horticultural/pharmaceutical experiments in the form of mixture designs in order to extract meaningful information for specific items of enquiry.
Abstract: The purpose of this chapter is to describe some application areas of mixture experiments. We present some studies taken up in the context of agricultural/horticultural/pharmaceutical experiments in the form of mixture designs in order to extract meaningful information for specific items of enquiry.

1 citations

Journal ArticleDOI
TL;DR: Mixture models were first introduced in canonical form of different degrees to represent the response function in a mixture experiment, and designs for the same were suggested as discussed by the authors, and severing...
Abstract: Mixture models were first introduced in canonical form of different degrees to represent the response function in a mixture experiment, and designs for the same were suggested. Later, sever...

1 citations

Journal ArticleDOI
TL;DR: This paper has considered a situation where some but not all of the interaction terms are present in a second degree model and optimum designs for prediction have been considered.
Abstract: Mixture experiments form an important part of research in areas like pharmaceutical, biometrics, agriculture, etc. Optimum mixture designs have been derived by many authors for mixture models due to Scheffe (1958) and others. In most of these models, there is no discrimination among the components. However, in practice, the situation may be quite different. In this paper, we have considered a situation where some but not all of the interaction terms are present. Optimum designs have been determined for the estimation of parameters of a second degree model. Finally, optimum designs for prediction have also been considered.

1 citations

Journal Article
TL;DR: The paper investigates a M / M ( b , b ) /1 queuing model with bulk service based on embedded Markov chains to find the different measures of effectiveness of the model.
Abstract: The paper investigates a M / M ( b , b ) /1 queuing model with bulk service. The server serves the customers in batches of fixed size b , and the service time is assumed to be exponentially distribution. Customers arrive to the system as a Poisson process and may renege after waiting in the queue for an exponentially distributed time. The reneging of a customer depends on the state of the system. The model is analyzed to find the different measures of effectiveness of the model. The approach adopted is based on embedded Markov chains.

1 citations

Journal ArticleDOI
TL;DR: In this paper, a periodic review inventory model with no shortages and different demand rates during pre-and post-decreasing periods is proposed, and the model determines the optimal reorder interval and the optimal order quantity so as to minimize the total cost per unit length of an inventory cycle.
Abstract: The paper studies a periodic review inventory model with no shortages and different demand rates during pre- and post- deterioration periods . Deterioration of units start after a fixed time interval, and the deterioration rate is time dependent. The model determines the optimal reorder interval and the optimal order quantity so as to minimize the total cost per unit length of an inventory cycle. An extension of the model to include price discount has been further considered. Numerical examples are presented to illustrate the model and a sensitivity analysis is also reported.

1 citations


Cited by
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Journal ArticleDOI
TL;DR: The motivations, extensions and generalizations of various models in each sub-class have been discussed in brief to bring out pertinent information regarding model developments in the last decade.

1,247 citations

Journal ArticleDOI
TL;DR: A complete and up-to-date survey of published inventory literature for the deteriorating (decaying) inventory models and a classification scheme is presented along with suggestions for future research.
Abstract: This paper presents a complete and up-to-date survey of published inventory literature for the deteriorating (decaying) inventory models. More specifically, those papers are addressed that consider the effect of deterioration as a function of the on-hand level of inventory. The basic features, extensions and generalization of various models are discussed. A classification scheme is presented along with suggestions for future research.

812 citations

Journal ArticleDOI
TL;DR: The present literature will help in knowing the trends of male factor infertility in developing nations like India and to find out in future, various factors that may be responsible for male infertility.
Abstract: Infertility and problems of impaired fecundity have been a concern through ages and is also a significant clinical problem today, which affects 8-12% of couples worldwide. Of all infertility cases, approximately 40-50% is due to "male factor" infertility and as many as 2% of all men will exhibit suboptimal sperm parameters. It may be one or a combination of low sperm concentration, poor sperm motility, or abnormal morphology. The rates of infertility in less industrialized nations are markedly higher and infectious diseases are responsible for a greater proportion of infertility. The present literature will help in knowing the trends of male factor infertility in developing nations like India and to find out in future, various factors that may be responsible for male infertility.

656 citations

Journal ArticleDOI
TL;DR: The present literature review encompasses multiple lifestyle factors and places infertility in context for the couple by focusing on both males and females, and aims to identify the roles that lifestyle factors play in determining reproductive status.
Abstract: Approximately 10 to 15% of couples are impacted by infertility. Recently, the pivotal role that lifestyle factors play in the development of infertility has generated a considerable amount of interest. Lifestyle factors are the modifiable habits and ways of life that can greatly influence overall health and well-being, including fertility. Many lifestyle factors such as the age at which to start a family, nutrition, weight, exercise, psychological stress, environmental and occupational exposures, and others can have substantial effects on fertility; lifestyle factors such as cigarette smoking, illicit drug use, and alcohol and caffeine consumption can negatively influence fertility while others such as preventative care may be beneficial. The present literature review encompasses multiple lifestyle factors and places infertility in context for the couple by focusing on both males and females; it aims to identify the roles that lifestyle factors play in determining reproductive status. The growing interest and amount of research in this field have made it evident that lifestyle factors have a significant impact on fertility.

535 citations