Sippy Singh

Bio: Sippy Singh is an academic researcher from Allahabad University. The author has contributed to research in topics: Psittacula krameri & Mongoose. The author has an hindex of 5, co-authored 14 publications receiving 46 citations.

Impact of energy and carbon emission of a supply chain management with two-level trade-credit policy

Abstract: Supply chain management aims to integrate environmental thinking with efficient energy consumption into supply chain management. It includes a flexible manufacturing process, more product delivery to customers, optimum energy consumption, and reduced waste. The manufacturing process can be made more flexible through volume agility. In this scenario, production cannot be constant, and with the concept of volume agility, production is taken as a decision variable under the effect of optimum energy consumption. Considering a two-echelon supply chain, we consider a producer and supplier with two-level-trade-credit policies (TLTCP) with the optimum consumption. To reduce the integrated total inventory cost, we believe that demand is a function of the credit period and selling price. The cost function is analyzed, either with the credit period dependent demand rate or with the selling price dependent demand rate through the numerical examples under energy costs. Energy and carbon emission costs are introduced in setup/ordering cost, holding cost, and item cost for producer and supplier. The effect of inflation on the total cost cannot be ignored; this model is being developed for deteriorating items with the simultaneous impact of volume agility, energy, carbon emission cost, and two-level-trade-credit policies with inflation. This supply chain model was solved analytically and obtained the optimum decision variables in a quasi-closed form solution. An illustrative theorem is being utilized to analyze the optimum result for all the decision parameters. The convexity of the objective function is being obtained analytically as well as graphically. Finally, numerical examples and sensitivity analysis are employed to illustrate the present study and with managerial insights.

Seasonal fluctuation in the neuronal classes of parahippocampal area of P. krameri (Scopoli, 1769) and E. scolopaceus (Linnaeus, 1758).

Abstract: Hippocampus in birds is a relatively narrow, curved strip of tissue that lies on the dorsomedial surface of telencephalon. It is widest dorsally at the junction with parahippocampal area, and it tapers with septum. Parahippocampal area (APH), the most prominent field of hippocampus is a long structure that lies at the most rostral level and continues upto caudal extent. It has been indicated by behavioral studies that hippocampus in birds plays an important role in process of learning, memory formation, food storage and spatial navigation. The present study enlightens some interesting fluctuations occurring in the neuronal classes of parahippocampal area of two seasonally breeding birds viz. P. krameri and E. scolopaceus in terms of dendritic thickness, spine density and spine morphology during breeding and non-breeding time period of birds. The Golgi-impregnated sections were used to study these fluctuations and it was noticed that there was a significant increase in dendritic thickness, spine density, spine length and spine head diameter during breeding as compared to non-breeding period. The results obtained were comparable in two different seasonally breeding birds, supporting the view that avian parahippocampal area shows neuroanatomical plasticity associated with breeding and non-breeding period because of variations in endocrinology.

Seasonal Plasticity in Neurons of APH in Female Indian Ringneck Parrot (Psittacula krameri)

Abstract: Hippocampus of seasonally breeding birds has gained a lot of interest from quite long period of time but the information regarding neuronal plasticity occurring in hippocampus of seasonally breeding birds is very limited. Therefore here we present an interesting study of neuronal plasticity in terms of fluctuations in dendritic thickness and spine density in parahippocampal region (APH), the most prominent field of hippocampus in female Psittacula krameri. Golgi-impregnated sections were used to demonstrate the fluctuations occurring in neuronal morphology during non-breeding and breeding season in APH region of P. krameri. Significant increase in dendritic thickness and spine density noticed during breeding period of female P. krameri has been discussed.

Seasonal dynamics within the neurons of the hippocampus in adult female Indian Ring neck Parrots (Psittacula krameri) and Asian Koels (Eudynamys scolopaceus)

Abstract: In birds, a narrow strip of tissue found on the dorsomedial surface of the telencephalon and separated from the rest of the hemisphere by a ventricle is termed the hippocampal complex. Two neurohistological techniques, namely the cresyl-violet method and the Golgi–Colonnier technique, have been employed in the present study to observe seasonal dynamics within the neuronal classes of hippocampus in female Indian Ring neck Parrots (Psittacula krameri (Scopoli, 1769)) and Asian Koels (Eudynamys scolopaceus (L., 1758)). Hippocampus is known to play a central role in a variety of behaviors such as homing, visual discrimination, learning, and sexual behavior. Therefore, changes in sexual behavior during the breeding period contribute to plasticity in the hippocampus in terms of fluctuations in neuronal characteristics thereby helping the bird cope with changing conditions. A significant increase in dendritic thickness, neuronal spacing, spine morphology, and spine density were identified within the hippocampal ...

EOQ Model with Partial Backordering for Imperfect Items under the Effect of Inflation and Learning with Selling Price Dependent Demand

Abstract: One of the most fruitful areas in the line of inventory is that the deficiency of handling/ production facilities can be overcome through a natural phenomenon known as learning effect. Due to this the performance of service and manufacturing organizations engaged in a repetitive process improves with time. The proposed economic order quantity model (EOQ) in this paper has been made realistic by analyzing the impact of learning. All of the study is carried out in inflationary environment. It is very obvious fact that given some time, every item can create a niche for itself in the customer’s mind, hence increasing its demand with the passage of time. The selling price of a product is one of the crucial factors in selecting the item for use. Keeping this in mind, an inventory model is developed by taking selling price dependent demand. In this model, it is assumed that the received items are not of perfect quality and after100% screening, imperfect items are withdrawn from inventory and sold at discounted price. Finally, the feasibility and applicability of model are shown through numerical analysis. Sensitivity analysis is also performed with respect to different inventory parameters.

Animal Tissue Techniques.

Abstract: Clearly, the possibility that Van Peenen's statements are correct exists, but no molecular geneticist would contend that these assertions have been established, in any but a very few cases, which appear at present to be atypical. The educated lavman, for whom this book is intended, will find the author's leaps from the level of the quoted material into sophisticated physical chemistry and back again disconcerting at least, if not completely confusing. It can be said, however, that the authors have assembled an excellent group of illustrations; lecturers in elementary genetics wishing to locate clear illustrations to use as slides would do well to look in this book first.

A sustainable flexible manufacturing-remanufacturing model with improved service and green investment under variable demand

Abstract: Environmental protection and the availability of natural resources help to maintain sustainability for manufacturing system. Reusing/remanufacturing economically viable used products, collected from end customers, has become an integral part of many supply chain operations. Remanufacturing with green investment plays an essential role in sustainable supply chain management by utilizing an environment-friendly approach. Considering this environmental, social, and economic development of society, this model mainly focuses on the flexibility of production rate under the multi-retailer based supply chain to satisfy customer’s demand. In this study, the manufacturer produces final products from new raw materials and used collected products. Subsequently, the products are transported to retailers and sold along with their service facilities. A mathematical model of this flexible manufacturing–remanufacturing system is developed to improve the service and to maintain sustainability always. The global optimization is established theoretically and a proposition is developed. Through numerical experiments, the global optimality is also verified. Some special cases, along with a comparison graph, are also provided for the validation of this results. The obtained results indicate that the concerned idea of service facility helps the customer to choose products without hesitation and the supply chain management achieves the maximum profit under green investment. It is found that the proposed study converges over the fixed production rate and without service studies. • We propose a sustainable supply chain model under environment friendly approach. • Multi-retailer based SCM is developed with a flexible production and a variable demand. • Service facility under manufacturing–remanufacturing maximizes the SCM total profit. • Separate holding costs for fresh and recovered items are helpful for smooth business. • The SCM is developed through a green investment and a waste reduction initiative.