How to solve model for each item?
Posted: Sun Dec 27, 2020 12:30 am
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 CE-WLO model, optimum efficiency scores are calculated first for each item. The most important aim of WLO is to maximize optimal scores. Second, cross-efficiency scores are calculated for each item. Finally, the cross-efficiency scores of each item are averaged and optimal cross-efficiency scores are found. The higher the cross-efficiency 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.
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 CE-WLO model, optimum efficiency scores are calculated first for each item. The most important aim of WLO is to maximize optimal scores. Second, cross-efficiency scores are calculated for each item. Finally, the cross-efficiency scores of each item are averaged and optimal cross-efficiency scores are found. The higher the cross-efficiency 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.
- LP
- LP