Efficiency Assessment for a Line Location Problem with positive/negative weights with Interval Coordination
محورهای موضوعی : مجله بین المللی ریاضیات صنعتی
haleh moradi
1
(Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Farhad Hosseinzade Lotfi
2
(Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran)
M. Rostamy Malkhalifeh
3
(Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran.)
کلید واژه: Line location problem, Semi-obnoxious, DEA, Interval data, efficiency, median line,
چکیده مقاله :
A line location problem as a subdivision of facility location problem deals with finding a straight line in the plane, so that sum of weighted distances or maximum weighted distances from the line to the demand points is minimized. This paper provides a novel approach to study the semi-obnoxious median line location problem with Euclidean norm by using data envelopment analysis method. Since the presented procedure would consider lines as decision making units, so efficiency of lines is taken into account instead of their optimality. Moreover, due to the inherent uncertainty of the parameters of the line location problem in the real world such as weights or/and coordinates of demand points, the problem under interval data is studied in viewpoint of data envelopment analysis as well. Furthermore, some propositions and a numerical example are provided to investigate the problem. Finally, conclusion is given.
A line location problem as a subdivision of facility location problem deals with finding a straight line in the plane, so that sum of weighted distances or maximum weighted distances from the line to the demand points is minimized. This paper provides a novel approach to study the semi-obnoxious median line location problem with Euclidean norm by using data envelopment analysis method. Since the presented procedure would consider lines as decision making units, so efficiency of lines is taken into account instead of their optimality. Moreover, due to the inherent uncertainty of the parameters of the line location problem in the real world such as weights or/and coordinates of demand points, the problem under interval data is studied in viewpoint of data envelopment analysis as well. Furthermore, some propositions and a numerical example are provided to investigate the problem. Finally, conclusion is given.
