One of the most successful ways to get the word out about a product's popularity across all types of customers is through advertising. It has a valuable direct influence on increasing product demand. The supply chain model is developed for manufacturer and retailer, where advertisements are dependent on demand. The advertisement rate has been considered a function that has enhanced at a diminishing rate concerning time, although the growth rate slowed. During the manufacturing cycle, the market's demand is a function of advertisement, and the customer's demand is a linear function of time. The production rate exceeds the demand rate during manufacturing and remanufacturing; shortages are not faced. It involves a manufacturing/remanufacturing process that quickly delivers consumer products and less waste. To keep the environment clean, the cost of carbon emissions is incorporated into the manufacturer's and supplier's holding and degrading costs. The model's primary purpose is to minimize the overall cost of manufacturing and remanufacturing. The overall cost during the manufacturing cycle is higher than that during the remanufacturing cycle. This study confirms that the increasing cost of advertising provides the continuous increasing value of the total cost. A numerical example is provided, graphical representation and sensitivity analysis determine the function's behavior and test the model.

This paper introduces an inventory system for declining medicinal products under the effect of ination with price-sensitive demand. Usually, pharmaceutical inventory systems assume the deteriorating rate as constant, which is insignificant and illogical because healthcare products medicines and drugs deteriorate significantly. Thus, the deteriorating rate of medicinal products is supposed to be time-dependent and to follow three-parameter Weibull distribution. The lack of commodities is permitted with the rate of partial backlogging. This research work develops a model to optimize the total average cost of the items by calculating the ordering quantity and the optimum time intervals. Finally, through a numerical example, with sensitivity analysis, we demonstrate the effect of different parameters.

Dairy farming is essential not only as a source of income but also as a reservoir of protein, supplementary nutrition, fertilizer, fuel, and a store of wealth for millions of households across the country. The dairy sector has been a tool of inclusive development in our country, as the distribution of dairy animals is more equitable than landholding. The COVID-19 pandemic-induced lockdown has created a vital adverse impact on different sectors, including that of agriculture and allied sectors in India and several other countries. The crisis is severe in countries like India where dairy farming is one of the most essential sources of sustenance and regular income for 60 million rural households of which 80 percent are landless, small, and marginal farmers. The COVID-19 pandemic has opened up the opportunity for the dairy industry to benefit as large sections of consumers may shift from meat-based to dairy-based protein. COVID-19 has made people more aware of the need to adopt a healthy diet. The government should work upon increasing the procurement base of the organized sector, creating storage and bulk milk chilling infrastructure, promoting value addition, and encouraging clean milk production. The dairy sector is more resilient compared to other sectors and according to various industry reports signs of recovery are observed. Being more equitable in distribution the dairy sub-sector is the new growth dynamo of the agriculture and allied sectors.

Smart city concept is emerging as a new venture in the tourism sector especially in a country like India. This chapter analyzes the tourist experience in Jaipur city of Rajasthan which is emerging as a popular tourist destination taken over for development under smart city mission. The chapter adopted empirical approach, but to some extent it also used secondary data sources. The authors analyzed tourist experience by using smart attraction, smart mobility, smart amenities, smart ancillary, smart safety, and smart available packages as important dimensions of smart tourism destination. Regarding tourist experience, the chapter noticed smart available packages, smart safety, and smart attractions are providing a pleasant experience to tourists in contrast with remaining aspects of smart tourism destination. The result of the study provides implication for tourism marketer and policy maker to take appropriate steps to enhance the tourist experience by improving smart facilities & services.

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