Coordinated production, ordering, shipment and pricing model for supplier-retailer inventory system under trade credit
Abstract
This article focuses on proposing an integrated supplier-retailer inventory model in which supplier and retailer both have adopted trade credit policies, and the retailer receives a lot containing some defective items. The customer’s demand is expressed as a function of time, price and credit period, which is appropriate for the products for which demand increases initially and after sometime it starts to decrease. In order to reduce the holding cost of supplier, the production is considered as one of the decision variable, which is directly proportional to the customer’s demand rate. The aim of this paper is to
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The customer’s demand is expressed as a function of time, price and credit period which is appropriate for the products for which demand increases initially and after sometime it starts to decrease. In order to reduce the holding cost of supplier, the production is considered as one of the decision variable, which is directly proportional to the customer’s demand rate. The aim of this paper is to maximize the joint profit for supplier and retailer. Some numerical examples are demonstrated for validation of the developed mathematical model. Finally, implementing sensitivity analysis on the decision variables by varying the inventory parameters, effective managerial insight are generated which is beneficial for players of supply chain.
2. NOTATIONS AND ASSUMPTIONS:
The mathematical model is developed on the basis of the following notation and assumptions.
2.1 NOTATIONS: The supplier’s production rate per unit at any time t (a decision variable) The retailer’s demand rate per unit at any time t The supplier’s setup cost per order in dollar The retailer’s ordering cost per unit ordered in dollar Transportation cost per delivery in
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Figure (i) Retailer’s Inventory Level and Interest earned
On the basis of the available possibilities as shown in the figure (i), there are three cases, This case comprises of collection of all the payment of sales items at time , from the customers by the retailer. But the supplier’s payment is done only after the end of credit period, , So, the retailer is not supposed to pay any of the above stated opportunity costs. And the retailer’s sales revenue is utilized to earn interest at a rate of and thus the retailer’s earned per unit time is, And Opportunity Cost per unit time is . This case explains that, the supplier is paid by the retailer at the period , the time after the retailer sold all the items and before the time that the retailer collects all returns. Specifically, the retailer cannot receive the payment instantly after the delivery of all the items to the customers, but pays off the supplier at the due date, and has to bear an opportunity cost during the time interval at a rate of . Therefore, the retailer’s opportunity cost per unit time is ,
Thus, they are in a position to cover any debt obligations that may come up quickly. Their inventory turnover has been relatively steady over the five years of data. In year 7 their inventory turnover reached 3.2 which means inventory is moving through to customers at an increased rate over the year which correlates with their increased sales. This statement is supported by the fact that the days inventory held for stoves has dropped over the past five years from 146 days in year 3 to 114 days in year 7. These reductions have allowed for the reduction of their days in accounts payable from 51 all the way down to 11.
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This reduced the company’s inventory costs by over 20% which improved delivery
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Historical inventory “cost” is used in applying the lower of cost or net realizable value over the entire period that the inventory is held. Write-downs are reversed as selling prices rise. Over the entire period of an enterprise, the amount of expense and profit are the same in the income statement on US GAAP and IFRS. However, the inventory and cost of goods sold balances can vary dramatically in any given period.
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The data for this thesis paper will be obtained from research online, from
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Exercise 3 Introduction Push and pull are strategic supply chain decisions can that are as a results of the impacts of operational, product and demand related variables (Wanker and Zinn, 2004). The push strategy moves products based on planning or forecasting whereas the pull strategy moves products as a results of real demand (Ballou, 1992). Thus in a push system, the products are pushed through the supply chain channel right from production to the retailer. The manufacturer builds its production based on historical ordering patterns and forecasting. Due to this it takes a longer time for this system to respond to changes in demand which results in overstocking, bottlenecks and bullwhip effect in the system.