Hi everyone,
In this model, each inventory item is compared with each other in pairs. Each inventory is seen as a competitor. Each competitor would have an efficiency score as a result of each pair comparison. After each item is compared with each other once, each item will have as many scores as the total number of items. If the total number of items is assumed as n, then each item will have n scores
In the CEWLO model, optimum efficiency scores are calculated first for each item. The most important aim of WLO is to maximize optimal scores. Second, crossefficiency scores are calculated for each item. Finally, the crossefficiency scores of each item are averaged and optimal crossefficiency scores are found. The higher the crossefficiency score of an item, the higher its value in the classification.
In Model 1, the inventory efficiency score (lk) is calculated. Each specified criterion has a weight coefficient. The criterion value (ark) of each item is multiplied by the weight coefficient (yrk) of that criterion. The result of this multiplication is summed and the inventory efficiency score (lk) of the item of k is found. lk has to be smaller than or equal to one.
You can see the LP model of the problem and also gams model.
I don't know where my problem is, please help me to solve it.
Thank you,
Best wishes.
How to solve model for each item?

 User
 Posts: 2
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Re: How to solve model for each item?
Is there anyone to help me regarding my problem?
Re: How to solve model for each item?
Can you please clarify why you think there is a problem? Do you observe something specific in the results that does not make sense to you?
 Atharv
 Atharv