Two Efficient Meta-Heuristic Algorithms for the Robust Inventory Routing Problem with Backhaul

• Published in: Tehnički vjesnik Vol. 27; no. 3; pp. 793 - 802
• Main Authors: Arab, Rahmat, Ghaderi, Seyed Farid, Tavakkoli-Moghaddam, Reza
• Format: Journal Article Paper
• Language: English
• Published: Slavonski Baod University of Osijek 01.06.2020; Josipa Jurja Strossmayer University of Osijek; Strojarski fakultet u Slavonskom Brodu; Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek; Građevinski i arhitektonski fakultet Osijek; Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
• Subjects: Algorithms; Complexity; Decision making; Evolutionary algorithms; Genetic algorithms; Heuristic; Heuristic methods; Inventory; Inventory control; Inventory management; inventory routing problem with backhaul; Logistics; meta-heuristic algorithm; multi-objective model; Optimization; Parameter uncertainty; robust optimization; Robustness; Route planning; Sorting algorithms; Vehicle routing; Iran

The inventory routing problem (IRP) involves the integration and coordination of two components of the logistics value chain: inventory management and vehicle routing. Therefore, consideration of this issue can be effective in decision making of the organization and will lead to lower costs or other...