An Inventory Model for Growing Items with Imperfect Quality When the Demand Is Price Sensitive under Carbon Emissions and Shortages

• Published in: Mathematical problems in engineering Vol. 2021; pp. 1 - 23
• Main Authors: De-la-Cruz-Márquez, Cynthia Griselle, Cárdenas-Barrón, Leopoldo Eduardo, Mandal, Buddhadev
• Format: Journal Article
• Language: English
• Published: New York Hindawi 2021; John Wiley & Sons, Inc
• Subjects: Business competition; Carbon; Costs; Customers; Demand; Environmental impact; Environmental tax; Global warming; Inventory; Inventory control; Inventory management; Investigations; Mathematical models; Mathematical problems; Model testing; Order quantity; Polynomials; Profits; Sensitivity analysis; Shortages; Social responsibility; Supply chains; Sustainability
• ISSN: 1024-123X; 1563-5147
• DOI: 10.1155/2021/6649048

Nowadays, it is well known that global warming is a great hazard to the planet, and the carbon emissions are a principal source of global warming. For this reason, the customers have become more environment and quality conscious than before, and as a result, they request the firms to be ecofriendly. In this context, it is desirable that companies develop and implement inventory models which consider sustainability issues. Furthermore, the companies face problems of shortages and setting prices in order to persist in a competitive and challenging business. Besides, there exists a kind of items different than the traditional products that it is necessary to feed them until a target weight is reached in order to slaughter and sell to customers. These are named as growing items. In this sense, this research work proposes an inventory model for growing items with imperfect quality when the demand is price sensitive under carbon emissions and shortages. The shortages are fully backordered. The demand is price sensitive according to a polynomial function. The proposed inventory model determines jointly the optimal policy for the selling price of perfect-quality growing items, the order quantity, and the backordering quantity which maximize the expected total profit per unit of time. Some numerical examples are resolved in order to illustrate the use and the applicability of the inventory model. Finally, a sensitivity analysis is conducted and some managerial insights are given.