Uncertainty in Supply Chain Management can lead to unsuitable services to customers, but it can be overcome through having an emergency inventory. Due to high costs of inventory, a general inclination exists towards a minimum inventory. So, one of the objectives of Supply Chain Management is to coordinate all activities throughout the chain, so that simultaneously with reducing commodity inventory, they can be supplied to customers when is needed. In addition, it is required that negative effects of changes in demand on order rate to be decreased. If order rate is considered constant, large changes will be seen in the inventory which will cause increase in inventory costs. Also, if the inventory is considered is considered constant, it will cause unstable production processes which will lead to increase in production costs. Existing static models for Supply Chain Management seem to be insufficient encountering with dynamic specifications of the supply chain system. The present article uses linear control method and transfer function analysis to offer a method for modeling Supply Chain Management in continuous-time condition in order to provide the best situation for exchanging order rate and inventory. Simulation has been conducted using Vensim software and results have been described.
[1]
S. Disney,et al.
On the bullwhip and inventory variance produced by an ordering policy
,
2003
.
[2]
G. N. Evans,et al.
Application of a simulation methodology to the redesign of a logistical control system
,
1998
.
[3]
Mohamed Mohamed Naim,et al.
Dynamic performance of a hybrid inventory system with a Kanban policy in remanufacturing process
,
2006
.
[4]
Denis Royston Towill,et al.
Genetic algorithm optimisation of a class of inventory control systems
,
2000
.
[5]
Christos D. Tarantilis,et al.
Dynamic modeling and control of supply chain systems: A review
,
2008,
Comput. Oper. Res..