A study on the optimal location of solid waste facilities via applying time series ARIMA and mixed integer programming models

A study on the optimal location of solid waste facilities via applying time series ARIMA and mixed integer programming models

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Article ID: iaor19932065
Country: Japan
Volume: 37
Issue: 1
Start Page Number: 43
End Page Number: 45
Publication Date: Jan 1992
Journal: Communications of the Operations Research Society of Japan
Authors:
Keywords: programming: integer, statistics: sampling
Abstract:

Yokohama municipal government is planning to construct solid waste facility in the near future. This paper investigates the location problem of these facilitie sites. Firstly it applies the regression analysis and the time series analysis techniques in order to predict the future increase of solid wastes in each service region of Yokohama city. Then a static model is built, for determining optimal sties of solid waste facilities. The model is formulated as a 0-1 mixed integer programming problem minimizing the total discounted cost of construction and transportation. Furthermore, the paper looks at the marginal costs for solid waste disposal constraints. It also applies post-optimality parametric analysis for construction cost, transportation cost and the amount of municipal solid waste collected. Finally the paper proposes a dynamic model for determining both optimal period and site of facilities in which replacement of facilities is additionally considered. Significance of the model analysis will be shown through applying the results to the real decision making in Yokohama municipal government. [In Japanese.]

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