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Growing Science » Authors » Sunil Tiwari

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Sort articles by: 📖 Volume | 📅 Date | ⭐ Most Rates | 👁️ Most Views | 🚀 Rising Stars | 🔗 Citations (Scopus) | 🔥 Hot Papers
1.

Replenishment policy for non-instantaneous deteriorating items in a two storage facilities under inflationary conditions Pages 489-506 PDF Download PDF

Authors: Chandra K. Jaggi, Sunil Tiwari, Satish K. Goel

doi 10.5267/j.ijiec.2015.12.001

🔑 Keywords: Inflation, Inventory, Non-instantaneous deterioration, Partial backlogging, Two-warehouse

Abstract:
The present study investigates an inventory model for non-instantaneous deteriorating items under inflationary conditions with partially backlogged shortages. In today’s market structure consumers are looking for goods for which there is a delay in deterioration. At the same time, the consumers’ willingness to wait has been decreased over time, which leads to lost sales. Moreover in financial decision-making, the effects of inflation and time value of money cannot be oblivious to an inventory system. In this scenario, managing inventory of goods remains a challenging task for the decision makers, who may also have to rent warehouse under different prevailing factors such as, bulk discount, limited space in the retail outlet, or increasing inflation rates. With a focus on reduction of costs and increasing customer service, warehouse decision models are crucial for an organization’s profitability. Hence a mathematical model has been developed in the view of above scenario, in order to determine the optimal policy for the decision maker, by minimizing the present worth of total cost. The optimization procedure has been illustrated by a numerical example and detailed sensitivity analysis of the optimal solution has been performed to showcase the effect of various parameters. Managerial implications has also been presented to aid the decision making process.
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Journal: IJIEC | Year: 2016 | Volume: 7 | Issue: 3 | Views: 2739

 
2.

Credit financing in economic ordering policies for non-instantaneous deteriorating items with price dependent demand under permissible delay in payments: A new approach Pages 481-502 PDF Download PDF

Authors: Chandra K. Jaggi, Anuj Sharma, Sunil Tiwari

doi 10.5267/j.ijiec.2015.5.003

🔑 Keywords: Function principle and signed distance method, Inventory, Non-instantaneous deteriorates items, Permissible delay in payments, Triangular fuzzy number

Abstract:
In the existing literature of inventory modeling under the conditions of permissible delay in payments, researchers have assumed that the retailers have to settle their accounts at the end of credit period i.e. supplier accept only full amount at the end of the credit period. However in reality, supplier may either accept the partial amount at the end of the credit period and unpaid balance subsequently or the full amount at a fix point of time after the expiry of the credit period, if the retailer finances the inventory from the supplier itself. Further, in the classical deteriorating inventory models, the common unrealistic assumption is that all the items start to deteriorate as soon as they arrive in the system. However, in realistic environment, it is observed that there are several non-instantaneous deteriorating items that have a shelf life and start to deteriorate after a time lag, like dry fruits, potatoes, yams and even some fruits and vegetables etc. Considering the importance of above mentioned facts, the present study formulates a fuzzy inventory model for non-instantaneous deteriorating items under conditions of permissible delay in payments. The paper discusses all the possible cases which may arise and yet not considered in the previous inventory models under permissible delay in payments. Further, this paper also considers price-dependent demand and the possibility of higher interest earn rate than interest payable rate. The objective of this study is to determine the optimal decision policies for the retailer which maximizes the total profit. Finally, the numerical examples are solved by using the proposed algorithm to show the validity of the model followed by the sensitivity analysis.
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Journal: IJIEC | Year: 2015 | Volume: 6 | Issue: 4 | Views: 2747

 

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