Mathematical Inventory Model with Decay Item under Two Levels of Trade Credit

2005 ◽  
Vol 5 (6) ◽  
pp. 978-982
Author(s):  
Chaang-Yung Kung ◽  
Yung-Fu Huang .
Keyword(s):  
Trade Credit ◽  
Inventory Model

AN INVENTORY MODEL FOR DETERIORATING ITEMS WITH MULTIVARIATE DEMAND AND TRADE CREDIT

2020 ◽  
Vol 9 (9) ◽  
pp. 7501-7514
Author(s):  
V. Kumar ◽  
A. Sharma ◽  
A. Kumar ◽  
C. B. Gupta
Keyword(s):  
Trade Credit ◽  
Inventory Model ◽  
Deteriorating Items

scholarly journals Optimizing a Sustainable Supply Chain Inventory Model for Controllable Deterioration and Emission Rates in a Greenhouse Farm

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 495
Author(s):  
Umakanta Mishra ◽  
Abu Hashan Md Mashud ◽  
Ming-Lang Tseng ◽  
Jei-Zheng Wu
Keyword(s):  
Supply Chain ◽  
Carbon Emissions ◽  
Trade Credit ◽  
Numerical Study ◽  
Inventory Model ◽  
Green Technology ◽  
Solution Technique ◽  
Emission Rates ◽  
Sustainable Supply Chain ◽  
Green Technologies

This study investigated how greenhouse managers should invest in preservation and green technologies and introduce trade credit to increase their profits. We propose a supply chain inventory model with controllable deterioration and emission rates under payment schemes for shortage and surplus, where demand depends on price and trade credit. Carbon emissions and deterioration are factors affecting global warming, and many greenhouse managers have focused on reducing carbon emissions. Carbon caps and tax-based incentives have been used in many greenhouses to achieve such reduction. Because of the importance of reducing carbon emissions for developing a green supply chain, various studies have investigated how firms deal with carbon emission constraints. In this continuation, we have used green technology to curb the excessive emissions from the environment or make it clean from CO2. In a seller–buyer relationship, the seller can offer a trade credit period to the buyer to manage stock and stimulate demand. Deterioration may become a challenge for most firms as they are under time constraints control, and preservation technology could help. This study proposes three novel inventory strategies for a sustainable supply chain (full backorder, partial backorder, and no backorder), linking all these important issues. The solution optimizes total annual profit for inventory shortage or surplus. We conducted a numerical study with three examples to evaluate the model’s authenticity and effectiveness and demonstrate the solution technique. The deterioration and emission rates can be included in a trade credit policy to increase greenhouse profits. The results suggest that greenhouse managers could apply the proposed model to manage real-world situations.

An EOQ inventory model with nonlinear stock dependent holding cost, nonlinear stock dependent demand and trade credit

2020 ◽  
Vol 139 ◽  
pp. 105557 ◽  
Author(s):  
Leopoldo Eduardo Cárdenas-Barrón ◽  
Ali Akbar Shaikh ◽  
Sunil Tiwari ◽  
Gerardo Treviño-Garza
Keyword(s):  
Trade Credit ◽  
Inventory Model ◽  
Stock Dependent Demand ◽  
Holding Cost ◽  
Dependent Demand

An inventory model of a three parameter Weibull distributed deteriorating item with variable demand dependent on price and frequency of advertisement under trade credit

2019 ◽  
Vol 53 (3) ◽  
pp. 903-916 ◽  
Author(s):  
Ali Akbar Shaikh ◽  
Leopoldo Eduardo Cárdenas–Barrón ◽  
Asoke Kumar Bhunia ◽  
Sunil Tiwari
Keyword(s):  
Trade Credit ◽  
Inventory Model ◽  
Selling Price ◽  
Credit Policy ◽  
Variable Demand ◽  
Reduced Gradient Method ◽  
Deterioration Rate ◽  
Rate Dependent ◽  
Reduced Gradient ◽  
Generalized Reduced Gradient

This paper develops an inventory model for a deteriorating item with variable demand dependent on the selling price and frequency of advertisement of the item under the financial trade credit policy. Shortages are allowed and these are partially backlogged with a variable rate dependent on the duration of waiting time until to the arrival of next order. In this inventory model, the deterioration rate follows a three-parameter Weibull distribution. The corresponding inventory model is formulated and solved by using the well-known generalized reduced gradient method along with an algorithm. To validate the inventory model, two numerical examples are considered and solved. Finally, based on one numerical example, the impacts of different parameters are studied by a sensitivity analysis considering one parameter at a time and leaving the other parameters fixed.

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