Modeling decision making with inventory
Posted: Thu Jul 21, 2016 6:29 pm
Hi all.
I have been trying to model a laboratory game that simulates business processes (producing, selling and managing inventory). Typically, the decisions are taken after each period. My model is a very simple one (see attached - "model test2"). It includes a condition for market turbulence.
The problem is: I cannot simulate correctly the input from inventory into the decision of how much to produce ("effective production"). I tried to include a first order control that only sells what is available in inventory but it did not work. I tried several alternatives of first order controls (MIN function, for instance) but each one produced bizarre behaviors (such as having a huge inventory but only selling half of what the market demands). I suspect the problem is related to the nature of high turnover stocks (inventory, in the model, is filled and depleted simultaneously after each month).
My last model (see attached) does not control for negative inventory. I do want to include excess inventory in the decision of producing (i.e. only producing the net amount necessary to satisfy the market demand). I have also attached the previous version ("model test"). See that inventories skyrocket. In a real laboratory setting, players would stop producing after a while to let the inventory diminish. Does anyone have an idea on how to solve this problem?
Thank you.
Hamilton.
I have been trying to model a laboratory game that simulates business processes (producing, selling and managing inventory). Typically, the decisions are taken after each period. My model is a very simple one (see attached - "model test2"). It includes a condition for market turbulence.
The problem is: I cannot simulate correctly the input from inventory into the decision of how much to produce ("effective production"). I tried to include a first order control that only sells what is available in inventory but it did not work. I tried several alternatives of first order controls (MIN function, for instance) but each one produced bizarre behaviors (such as having a huge inventory but only selling half of what the market demands). I suspect the problem is related to the nature of high turnover stocks (inventory, in the model, is filled and depleted simultaneously after each month).
My last model (see attached) does not control for negative inventory. I do want to include excess inventory in the decision of producing (i.e. only producing the net amount necessary to satisfy the market demand). I have also attached the previous version ("model test"). See that inventories skyrocket. In a real laboratory setting, players would stop producing after a while to let the inventory diminish. Does anyone have an idea on how to solve this problem?
Thank you.
Hamilton.