Utama et al. (2011)
Abstract: Main backgrounds of developing model of intelligent decision support systems, for searching the most optimum supply path in palm oil based
bio-energy supply chain management, are importance of supply
chain management concept implementation in doing business activities
that involve more than one companies; importance of palm oil based
bio-energy management availability; and difficulty of management and
searching of the most optimum path of perishable product supply chain.
The objectives of this paper were the explanation of setting optimum
value and searching the most optimum path of palm oil based bio-energy
supply chain. The method used in this paper was combination of Balance
Score Card (BSC), Supply Chain Operation Reference (SCOR), and ant
colony optimization (SCO) methods. On the other hand, this paper
explained the model suggestion of the most optimum path and comparation
of developed model with the common model (shortest path). In conclusion,
the developed model gave more optimum result than shortest path mehod
gave. Furthermore, the model could show the optimum value that was
generated from supply chain perspectives. It was better than shortest
path method. Whereas, the shortest path method showed only the shortest
path that involved only one variable, distance. Finally, the paper
suggested that combination of the fuzzy and ant colony optimization
method research was needed to do.
Keywords: palm oil based bio-energy,
intelligent decision support system, optimum path, supply
chain management, ant colony optimization
Taken from Paper: Utama,
D.N., Djatna, T., Hambali, E., Marimin, Kusdiana, D. 2011. Intelligent
decision support systems for searching the optimum palm oil based
bio-energy supply chain by using ant colony optimization method. Journal of Agroindustrial Technology, Vol.21 No.1, pp. 50-62.