Abraham Charnes and W. W. Cooper (et al.): A Brief History of a Long Collaboration in Developing Industrial Uses of Linear Programming

An Extended Mathematical Programming Model to Optimize the Cable Trench Route of Power Transmission in a Metro Depot

The necessary electricity of the workshops and buildings (W&Bs;) located at the metro depot are provided by lighting power substation (LPS). To transmit electricity between LPS and W&Bs;, some trenches should be dig and the requisite cables should be located in the trenches. This paper presents a new mixed integer linear programming (MILP) long-term decision model to find ...

A Non-radial Approach for Setting Integer-valued Targets in Data Envelopment Analysis

Data Envelopment Analysis (DEA) has been widely studied in the literature since its inception with Charnes, Cooper and Rhodes work in 1978. The methodology behind the classical DEA method is to determine how much improvements in the outputs (inputs) dimensions is necessary in order to render them efficient. One of the underlying assumptions of this methodology is that the units consume and prod...

Contributions of Professor William W. Cooper in Operations Research and Management Science

Over a long and remarkably productive career, Professor William W. (Bill) Cooper has made many pioneering contributions to Operations Research and Management Science (OR/MS), with notable forays into the areas of (a) linear and non-linear programming, (b) goal programming, (c) chance-constrained programming, (d) data envelopment analysis, and (e) manpower planning, among others. His legendary p...

GRADUATE SCHOOL of INDUSTRIAL ADMINISTRATION

Production Possibility Frontier and Stochastic Programming

Data Envelopment Analysis (DEA) is the methodology for evaluating the relative productive efficiency of decision making units (DMUs) that produce multiple-outputs using multiple-inputs. DEA was proposed for the first time in 1957 by Farrell; nonetheless, the wide usage of this method begun with its generalization and the linear programming formulation which is due to Charnes et al. (1978) (for ...