A Nonlinear Approximation Method for Solving a Generalized Rectangular Distance Weber Problem

This paper provides a method for approximating optimal location in a multi-facility Weber problem where rectangular distances apply. Optimality is achieved when the sum of weighted distances is minimized. Two upper bounds on the error incurred by using the approximation are developed. The formulation can be used in convex programming to solve some nonlinearly constrained problems.

• 저널Management Science · 18(11) · 656–663
• 토픽Facility Location and Emergency Management · Organizational Behavior and Human Resource Management
• DOI10.1287/mnsc.18.11.656
• 저자George O. Wesolowsky, Robert F. Love