Cellular and humoral factors involved in defense mechanisms of Fenneropenaeus indicus (H. Milne Edwards, 1837)

The present investigation revealed three types of circulating haemocytes in the haemolymph of F. indicus: hyalinocytes, small-granule haemocytes, and large-granule haemocytes. Intermediate stages indicate the maturing process of a single cell. The presence of enzymes such as peroxidase, phenoloxidase and acid phosphatase in the haemocytes, and the substantial production of oxygen radicals during phagocytosis show that the haemocytes are capable of mounting a fme cellular defense mechanism. The enzyme activities of the serum and the presence of agglutinins in the serum, which may act as opsonins, agglutinate foreign particles and augment phagocytosis, confirm the presence of a superior humoral immune system in F. indicus.Bacterial infection caused considerable variations in the cellular and humoral factors, such as the number of circulating cells and haemagglutinating activity, especially in the initial hours of infection. The total haemocyte count, haemagglutination titer and phenoloxidase enzyme showed significant reductions on bacterial presence and could be used as indicators of bacterial infection.The number of circulating cells showed drastic fluctuation on exposure to pollutants. Nuvan at low concentrations was able to produce changes in the haemolymph factors and in the tissue organization, which implies that the animal is under stress and is easily prone to infections. Exposure to nuvan resulted in significant variation in all of the cellular and humoral factors, especially, the total haemocyte count, percentage of small granule haemocytes, phagocytic activity and the haemagglutinating activity, which might be good indicators of pesticide pollution. Heavy metal exposure caused significant increase in total haemocyte count and reduction in phenoloxidase enzyme activity Even changes in the physio-chemical parameters, such as salinity caused fluctuations in the defense factors, indicating stress in this euryhaline species. The dietary incorporation of a commercial immunostimulant containing P-l,3 glucan resulted in stimulation of some of the humoral defense factors of F indicus, but was time dependent. The modulations, on exposure to various external factors, in the cellular and humoral factors, especially, total haemocyte count, phagocytic activity, haemagglutinating activity and the phenoloxidase and acid phosphatase enzymes suggest that these parameters could be used as indicators of the health status of F indicus, which assist in better monitoring and effective health management of this important cultured species.

Performance of Supply Chain when using selected Coordination Mechanisms

Coordination among supply chain members is essential for better supply chain performance. An effective method to improve supply chain coordination is to implement proper coordination mechanisms. The primary objective of this research is to study the performance of a multi-level supply chain while using selected coordination mechanisms separately, and in combination, under lost sale and back order cases. The coordination mechanisms used in this study are price discount, delay in payment and different types of information sharing. Mathematical modelling and simulation modelling are used in this study to analyse the performance of the supply chain using these mechanisms. Initially, a three level supply chain consisting of a supplier, a manufacturer and a retailer has been used to study the combined effect of price discount and delay in payment on the performance (profit) of supply chain using mathematical modelling. This study showed that implementation of individual mechanisms improves the performance of the supply chain compared to ‘no coordination’. When more than one mechanism is used in combination, performance in most cases further improved. The three level supply chain considered in mathematical modelling was then extended to a three level network supply chain consisting of a four retailers, two wholesalers, and a manufacturer with an infinite part supplier. The performance of this network supply chain was analysed under both lost sale and backorder cases using simulation modelling with the same mechanisms: ‘price discount and delay in payment’ used in mathematical modelling. This study also showed that the performance of the supply chain is significantly improved while using combination of mechanisms as obtained earlier. In this study, it is found that the effect (increase in profit) of ‘delay in payment’ and combination of ‘price discount’ & ‘delay in payment’ on SC profit is relatively high in the case of lost sale. Sensitivity analysis showed that order cost of the retailer plays a major role in the performance of the supply chain as it decides the order quantity of the other players in the supply chain in this study. Sensitivity analysis also showed that there is a proportional change in supply chain profit with change in rate of return of any player. In the case of price discount, elasticity of demand is an important factor to improve the performance of the supply chain. It is also found that the change in permissible delay in payment given by the seller to the buyer affects the SC profit more than the delay in payment availed by the buyer from the seller. In continuation of the above, a study on the performance of a four level supply chain consisting of a manufacturer, a wholesaler, a distributor and a retailer with ‘information sharing’ as coordination mechanism, under lost sale and backorder cases, using a simulation game with live players has been conducted. In this study, best performance is obtained in the case of sharing ‘demand and supply chain performance’ compared to other seven types of information sharing including traditional method. This study also revealed that effect of information sharing on supply chain performance is relatively high in the case of lost sale than backorder. The in depth analysis in this part of the study showed that lack of information sharing need not always be resulting in bullwhip effect. Instead of bullwhip effect, lack of information sharing produced a huge hike in lost sales cost or backorder cost in this study which is also not favorable for the supply chain. Overall analysis provided the extent of improvement in supply chain performance under different cases. Sensitivity analysis revealed useful insights about the decision variables of supply chain and it will be useful for the supply chain management practitioners to take appropriate decisions.