scholarly journals Economic order quantity model for a product with expiration date, limited shelf space and freshness dependent selling price under the effect of trade credit financing

2020 ◽  
Keyword(s):  
Trade Credit ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Selling Price ◽  
Order Quantity ◽  
Expiration Date ◽  
Shelf Space ◽  
Credit Financing

Economic order quantity model with trade credit financing for non-decreasing demand

Omega ◽  
2012 ◽  
Vol 40 (3) ◽  
pp. 328-335 ◽  
Author(s):  
Jinn-Tsair Teng ◽  
Jie Min ◽  
Qinhua Pan
Keyword(s):  
Trade Credit ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Credit Financing

scholarly journals An Economic Order Quantity Model with Completely Backordering and Nondecreasing Demand under Two-Level Trade Credit

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Zohreh Molamohamadi ◽  
Rahman Arshizadeh ◽  
Napsiah Ismail ◽  
Amir Azizi
Keyword(s):  
Demand Function ◽  
Trade Credit ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Competitive Industry ◽  
Decision Variables ◽  
Proposed Model ◽  
Special Cases ◽  
Optimal Ordering

In the traditional inventory system, it was implicitly assumed that the buyer pays to the seller as soon as he receives the items. In today’s competitive industry, however, the seller usually offers the buyer a delay period to settle the account of the goods. Not only the seller but also the buyer may apply trade credit as a strategic tool to stimulate his customers’ demands. This paper investigates the effects of the latter policy, two-level trade credit, on a retailer’s optimal ordering decisions within the economic order quantity framework and allowable shortages. Unlike most of the previous studies, the demand function of the customers is considered to increase with time. The objective of the retailer’s inventory model is to maximize the profit. The replenishment decisions optimally are obtained using genetic algorithm. Two special cases of the proposed model are discussed and the impacts of parameters on the decision variables are finally investigated. Numerical examples demonstrate the profitability of the developed two-level supply chain with backorder.

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