Paper Info
Title
Agri-food supply chains with stochastic demands: A multi-period inventory routing problem with perishable products.
Abstract
This paper considers an agri-food supply chain with a single fresh food supplier, who owns a central warehouse that serves several retail centers. Retail centers carry a certain amount of inventory of the fresh product, which is prone to deterioration. The supplier makes both inventory and routing decisions to minimize the inventory, transportation, food-waste, and stock-out costs in the face of stochastic customer demand and perishable products that need to be delivered to each retail center. This inventory routing problem is known as perishable inventory routing problem (PIRP) with stochastic demands in the literature. We model it using a mixed integer program and propose a simheuristic algorithm, which integrates Monte Carlo simulation within an iterated local search, to solve it. Our experiments show that the proposed algorithm can improve the initial solution with reasonable computational times. The resulting procedure is easy to implement and is applicable to other domains where a multi-period PIRP with stochastic demands may appear.
Year
DOI
Venue
2019
10.1016/j.simpat.2019.101970
Simulation Modelling Practice and Theory
Keywords
Field
DocType
Agri-food supply chain,Multi-period inventory routing problem,Stochastic demands,Perishable product,Metaheuristics,Simheuristics
Integer,Mathematical optimization,Monte Carlo method,Warehouse,Inventory routing problem,Computer science,Real-time computing,Supply chain,Iterated local search
Journal
Volume
ISSN
Citations 
97
1569-190X
1
PageRank 
References 
Authors
0.35
0
4
Name
Order
Citations
PageRank
B S S Onggo18214.17
Javier Panadero2188.03
Canan G. Corlu3306.12
Angel A. Juan459669.73