In this paper the authors formulate a production routing problem (PRP), adopting a mathematical programming formulation. The goal of the PRP is to minimize the total cost, composed of production, inventory and routing costs, in such a way that no stock-out occurs at any retailer, limits on inventory at the retailers are satisfied, and vehicle capacity is not violated. Variable production costs are not considered as the total quantity produced will always equal the total demand of the retailers and the variable production cost is a constant. The authors consider two different sequential approaches: ProduceFirst, where production decisions are made first, and then distribution decisions are optimized, and DistributeFirst, where distribution decisions are made first and then production decisions are optimized. They also consider an integrated approach to the PRP problem, and using a specific model they compare the performance of an integrated approach with the performance of the two sequential approaches DistributeFirst and ProduceFirst separately.
Recensione dell'articolo:(Absi, Nabil; Archetti, Claudia; Dauzère-Pérès, Stéphane; Feillet, Dominique; Speranza, M. Grazia - "Comparing sequential and integrated approaches for the production routing problem. " European J. Oper. Res. 269 (2018), no. 2, 633–646.) MR3790041 MathSciNet ISSN 2167-5163
Leonardo Pasini
2019-01-01
Abstract
In this paper the authors formulate a production routing problem (PRP), adopting a mathematical programming formulation. The goal of the PRP is to minimize the total cost, composed of production, inventory and routing costs, in such a way that no stock-out occurs at any retailer, limits on inventory at the retailers are satisfied, and vehicle capacity is not violated. Variable production costs are not considered as the total quantity produced will always equal the total demand of the retailers and the variable production cost is a constant. The authors consider two different sequential approaches: ProduceFirst, where production decisions are made first, and then distribution decisions are optimized, and DistributeFirst, where distribution decisions are made first and then production decisions are optimized. They also consider an integrated approach to the PRP problem, and using a specific model they compare the performance of an integrated approach with the performance of the two sequential approaches DistributeFirst and ProduceFirst separately.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
