Grey integer programming: An application to waste management planning under uncertainty

Grey integer programming: An application to waste management planning under uncertainty

0.00 Avg rating0 Votes
Article ID: iaor19981413
Country: Netherlands
Volume: 83
Issue: 3
Start Page Number: 594
End Page Number: 620
Publication Date: Jun 1995
Journal: European Journal of Operational Research
Authors: , ,
Keywords: waste management
Abstract:

This paper introduces a grey integer programming (GIP) method for facility expansion planning under uncertainty, by incorporating the concepts of grey number and grey mathematical programming into a mixed integer linear programming optimization framework. The approach is an improvement upon previous integer programming methods in terms of its technical characteristics and applicability. It allows uncertain information to be effectively communicated into the optimization process and the resulting solutions. It also has low computational requirements and is thus applicable to practical problems. The modelling approach is applied to a hypothetical planning problem of waste flow allocation and treatment/disposal facility expansion within a regional solid waste management system. The binary variable solutions provide the ranges of different development alternatives within a multi-period, multi-facility and multi-scale context, and the continuous variable solutions provide optimal schemes for waste flow allocation corresponding to the upper and lower bounds of the objective function value. The results indicate that reasonable and useful solutions can be achieved through the developed approach.

Reviews

Required fields are marked *. Your email address will not be published.