Template-Type: ReDIF-Paper 1.0
Author-Name: Naso, D.
Author-Name-Last: Naso
Author-Name-First: David
Author-Name: Surico, M.
Author-Name-Last: Surico
Author-Name-First: Michele
Author-Name: Turchiano, B.
Author-Name-Last: Turchiano
Author-Name-First: Biagio
Author-Name: Kaymak, U.
Author-Name-Last: Kaymak
Author-Name-First: Uzay
Author-Person: pka115
Title: Genetic Algorithms in Supply Chain Scheduling of Ready-Mixed Concrete
Abstract: The coordination of just-in-time production and transportation in a network of partially independent facilities to guarantee timely delivery to distributed customers is one of the most challenging aspects of supply chain management. From the theoretical perspective, the timely production/distribution can be viewed as a hybrid combination of planning, scheduling and routing problem, each notoriously affected by nearly prohibitive combinatorial complexity. From a practical viewpoint, the problem calls for a trade-off between risks and profits. This paper focuses on the ready-made concrete delivery: in addition to the mentioned complexity, strict time-constraints forbid both earliness and lateness of the supply. After developing a detailed model of the considered problem, we propose a novel meta-heuristic approach based on a hybrid genetic algorithm combined with constructive heuristics. A detailed case study derived from industrial data is used to illustrate the potential of the proposed approach.
Creation-Date: 2004-11-12
File-URL: https://repub.eur.nl/pub/1802/ERS%202004%20096%20LIS.pdf
File-Format: application/pdf
Series: RePEc:ems:eureri
Number: ERS-2004-096-LIS
Classification-JEL: C61, M, M11, R4
Keywords: concrete delivery, genetic algorithms, meta-heuristics, supply chain management
Handle: RePEc:ems:eureri:1802