Each supplier's rectangle is 10 attractiveness units wide, and the heights have been reduced to maintain the area of each rectangle equal to the corresponding supplier capacity. As suggested by the above two examples, the Wood algorithm meets all of the five requirements. We are aware of no other algorithm that conforms to all five. In addition, the Wood algorithm is flexible enough to serve as a realistic model of most allocation and market competition situations. Request is the amount desired by the entities.
Priority is the priority given to the entities.
If you have variables with more than one subscript you must use the subscript over which allocation is being made last. Suppose, for example, you are allocating market share to different companies by state. If you change the order of subscripts on any one of sales , capacity or attractiveness , you will get the wrong results. This will yield nonsense and Vensim will not necessarily report that it is making an error. If the shortfall is not handled before this discontinuity, update the slope and try again.