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Further, based on the convexity behaviour of the objective function with respect to the decision variable, the following logarithmic function case algorithm is designed to find the optimal values for order quantity, lead time, and the number of deliveries in one production cycle.
Further, based on the convexity behaviour of the objective function with respect to the decision variable, the following linear function case algorithm is designed to find the optimal values for order quantity, lead time, ordering cost and the number of deliveries in one production cycle.
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Because the buyer's profit is zero for any order quantity below end-customer demand, he is indifferent between all values from 0 to (D).
Computers and Industrial Engineering, 43, 59 73] found closed form expressions for the economic order quantity for new products and the optimal inventory level where the recovery process starts.
A mathematical model is employed in this study for optimizing the order quantity, lead time, ordering cost and number of deliveries in one production cycle.
Procedures are developed for determining the optimal order quantity and the optimal cycle time for both cost structures.
(Q) Order quantity for the buyer (L) Length of lead time for the buyer (A) Buyer's ordering cost per order (0 le A le A_{0}) (m) The number of lots in which the product is delivered from the vendor to the buyer in one production cycle, a positive integer.
Order quantity for the buyer.
Q the order quantity for the retailer.
Q i order quantity for product i.
Rameswari and Uthayakumar (2012) investigated economic order quantity for deteriorating items under time discounting with inflation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com