An intense study is required to place a fast-food restaurant strategically. Several aspects should be taken into account to locate the restaurant in the right location to give owners high profit or gain; e.g. population income, city type, trading activity behavior, location distance to hustle in the city, etc. In addition, the simulated annealing (SA) was used as a main method for optimizing process. The other method fuzzylogic was operated as well to define the selected parameters’ priority based on experts’ justification. The decision support model (DSM) based on SA-optimization and fuzzy-concept was constructed then. It practically proposed the best location alternative coming from a lot of alternatives. Here, three locations in Tangerang and Jakarta were undertaken as a research object.
CITATION STYLE
Utama, D. N., Putra, M. R., Su’Udah, M., Melinda, Z., Cholis, N., & Piqri, A. (2017). SA-optimization based decision support model for determining fast-food restaurant location. In Advances in Intelligent Systems and Computing (Vol. 573, pp. 333–342). Springer Verlag. https://doi.org/10.1007/978-3-319-57261-1_33
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