Conference Proceeding

Just-in-time production and delivery in supply chains: a hybrid evolutionary approach

Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
11/2004; DOI:10.1109/ICSMC.2004.1399968 ISBN: 0-7803-8566-7 pp.1932 - 1937 vol.2 In proceeding of: Systems, Man and Cybernetics, 2004 IEEE International Conference on, Volume: 2
Source: IEEE Xplore

ABSTRACT The timely production and distribution of rapidly perishable goods is one of the most challenging logistic problems in the context of supply chain operation. The problem involves several tightly interrelated planning, scheduling and routing problems, each with large combinatorial complexity. From a more practical perspective, the problem calls for a trade-off between risks and returns. To effectively deal with these considerable difficulties, we propose a novel meta-heuristic approach based on a hybrid evolutionary algorithm combined with constructive heuristics for addressing just-in-time production and delivery with time constraints on both the earliness and the lateness of supply. Distribution of ready-made concrete is used as a practical example. A case study based on industrial data illustrates the potential of the proposed approach.

0 0
 · 
0 Bookmarks
 · 
22 Views
  • Source
    Article: Concrete delivery using a combination of GA and ACO
    C A Silva, J M Faria, P Abrantes, J M C Sousa, M Surico, D Naso
    [show abstract] [hide abstract]
    ABSTRACT: The timely production and distribution of rapidly perishable goods such as concrete is a complex combina-torial optimization problem in the context of supply chain management. The problem involves several tightly interrelated scheduling and routing problems that have to be solved considering a trade-off of production and delivery costs. A hybrid meta-heuristic method combining genetic algorithms with constructive heuristics has been previously presented. This paper introduces a novel approach, by replacing the constructive heuristic with another meta-heuristic, the ant colony optimization approach. The simulation examples show that the concrete supply chain improves the performance with the novel GA-ACO algorithm.
  • Source
    Conference Proceeding: Concrete Delivery using a combination of GA and ACO
    C.A. Silva, J.M. Faria, P. Abrantes, J.M.C. Sousa, M. Surico, D. Naso
    [show abstract] [hide abstract]
    ABSTRACT: The timely production and distribution of rapidly perishable goods such as concrete is a complex combinatorial optimization problem in the context of supply chain management. The problem involves several tightly interrelated scheduling and routing problems that have to be solved considering a trade-off of production and delivery costs. A hybrid meta-heuristic method combining genetic algorithms with constructive heuristics has been previously presented. This paper introduces a novel approach, by replacing the constructive heuristic with another meta-heuristic, the ant colony optimization approach. The simulation examples show that the concrete supply chain improves the performance with the novel GA-ACO algorithm.
    Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on; 01/2006
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.

Keywords

case study
 
challenging logistic problems
 
considerable difficulties
 
constructive heuristics
 
hybrid evolutionary algorithm
 
industrial data
 
large combinatorial complexity
 
perishable goods
 
practical example
 
practical perspective
 
problems
 
proposed approach
 
ready-made concrete
 
risks
 
supply chain operation
 
time constraints
 
timely production