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Prepared By Ȃ Naveen Kumar (O4310402709) Vivek Gupta (06510402709) CSE 2nd Year, Session - 2009-13
( EOQ
stands for Economic Order Quantity.
( EOQ
model is a technique to find out optimum order quantity generally by considering cost of procurement, inventory holding, and backorder.
fundamental assumption of an EOQ model is that 100% of items in an ordered lot are perfect.
( |he
assumption may not be valid for most of the production processes because of process deterioration or other factors.
( |his
project develops an EOQ model for that each ordered lot contains some defective items and shortages backordered.
( |his
( It
is assumed that 100% of each lot contains some defective items which are collection of imperfect quality and scrap items.
( Õosenblatt ( Kim
& Lee (1986)
& Hong (1999)
( Salameh ( Hayek
& Salameh (2001)
( Chung & ( Chan
& Jaber (2000) Hou (2003)
et al. (2003)
is a mathematical model which is implemented using DzGenetic Algorithmdz.
( |his
( |he
coding of model is done in C#.
interface of model is prepared in .NE| framework.
( |he
genetic algorithm is a method for solving optimization problems that is based on1. Natural selection. 2. |he process that drives biological evolution. ( |he
genetic algorithm repeatedly modifies a population of individual solutions.
( |he
( At
each step, the genetic algorithm selects individuals at random from the current population to be parents and uses them produce the children for the next generation.
( Selection
Ȃ Select the parents from initial population based on their fitness value.
( Crossover
Ȃ Combine two parents to form a new child.
( Mutuation
Ȃ Apply random changes to a parent to form new child.
á R R p 2
X 2 X