Authors:
Beatrice Ietto
1
;
2
and
Valentina Orsini
3
Affiliations:
1
DIMA, UNIVPM, Ancona, Italy
;
2
Einstein Center Digital Future, Berlin, Germany
;
3
DII, UNIVPM, Ancona,Italy
Keyword(s):
Supply Chain Management, Supply Chain Modeling, Inventory Control, Perishable Goods, Robust MPC.
Abstract:
The problem we consider is to define an efficient management strategy for a periodic-review production-inventory system whose dynamics is characterized by various elements of complexity. These elements characterize the vast majority of practical situations and consist of: 1) perishable goods with unknown deterioration rate, 2) an uncertain future customer demand with oscillations that are not statistically modelable, 3) non-synchronized operations of goods stocking and dispatching inside each review period. With reference to this problem we define a general model of supply chain dynamics capturing the mentioned complex features and encompassing, as particular cases, other models proposed in the literature. We also provide a coherent two criteria based evaluation of the Bullwhip Effect (BE) and a Replenishment Policy (RP) resulting from a min-max formulation of Model Predictive Control (MPC) approach. The RP maximizes the satisfied customer demand and contains the BE within precise li
mits independent of the customer demand randomness.
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