Research Article

Control Theory Concepts Applied to Retail Supply Chain: A System Dynamics Modeling Environment Study

Table 2

Customer order scenarios simulated.

ScenariosDescription

Base caseNo changes in customer orders of 10,000 units/week, information visibility turned off, and flexible work week is turned off
Random normalStarting week 16, customer orders vary between min of 800 and max of 1200 with mean of 1000 and std. deviation of 30
Random uniformStarting week 16, customer orders vary in a random uniform pattern between a low of 800 and high of 1200
Random upward trendStarting week 16, customer orders show an upward trend of 5 units/week and vary in a random uniform pattern of ±200 units on either side of trend line
Random downward trendStarting week 16, customer orders show a downward trend of 5 units/week and vary in a random uniform pattern of ±200 units on either side of trend line
Spiked ordersStarting 26th week, every 13th week (one quarter approximately) customer orders spike up by 20% (26th, 39th, 52nd week, etc)
Dipped ordersStarting 26th week, every 13th week (one quarter approximately) customer orders dip down by 20% (26th, 39th, 52nd week, etc)

In all scenarios, FWW: flexible work week switch is turned on. IV: information visibility switch is also turned on.