Blockchain is a very secure, authentic, and distributed technology and is very prominent in areas such as edge computation, cloud computation, and Internet-of-things. Artificial intelligence assists in the completion of activities efficiently and effectively by providing intelligence, analytics, and predicting capabilities. There is an obvious convergence between the two technologies. Artificial intelligence systems can utilize blockchain to establish trust in communication channels, ensuring that messages are securely transmitted and received without the need for a centralized intermediary. By leveraging blockchain, artificial intelligence systems can maintain an immutable record of communications, ensuring transparency and preventing unauthorized modifications. The integration of blockchain and artificial intelligence technologies can enhance the security, transparency, and privacy of communication systems. By leveraging blockchain’s decentralized nature and artificial intelligence’s analytical capabilities, secure and trustworthy communication channels can be established, benefiting various domains such as finance, healthcare, and supply chain. Overall, the integration of blockchain and artificial intelligence has the potential to offer several benefits, and as these technologies continue to evolve, new and innovative applications will continue to emerge.

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 inflation 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.

In this research article, we develop an EPQ model for imperfect items with inflation. In this model demand, deterioration rate and production rate are constant. Shortage is permitted and completely backlogged. There are two type of inspection error. Type I error is screening for non-defects and type II for defects items. In this model there are rework on screening items. There are many type of cost like carrying cost, penalty cost, rework cost, scrapping cost. This model is developed to minimize the total inventory cost by optimizing the lot size and backordering quantity. Numerical example is used to optimize the lot size and backorder quantity. Sensitivity analysis is also used for the better experience of the relation between total inventory cost and parameter used in this model.

Inventory is the stock of goods and items in any business for the basis of sales and future production.The list may remain in the type of raw material, spare parts, and finished goods.Inventory management assists in many gains in the stock.It helps in sustain the list in a suitable quantity and supplying the same at the right timings.The managers of the firm try to develop different inventory policies to increase the profit of the firm.Different type of demands is the key policies from which manager increases the market and hence make the profit for the structure.In this paper, the latest work in the area of inventory control for various applications is presented.

This paper formulated the impact of an inventory model for imperfect manufacturing process. Demand rate and repair rate are exponentially function of time. Production rate and collection rate are depending on demand. Due to the demand, they are also function of time. Model is developed to minimize the total inventory cost by considering only one type of raw material and by using permissible delay in payments under inflationary environment. Numerical example are used to find the analytical result. Sensitivity analysis is used to fulfill the effect of distinct parameter on the optimal policy.

The analysis of the literature is a critical feature of the research effort which connects the past work with the current work. This paper presents recent review engaged with inventory control of decaying items. The last considerable review on this concern dates back to 1913 (Ford Harris EOQ Model). Articles are emphasized by discussing fundamental structure, modeling method, capacity constraints, trade credit, fuzzy parameters, with shortages and various demand. We look over many papers of different journals belonging to decaying items with distinct parameters and then take the review. We introduce about EGQ model of inventory.