Epsilon-dominating solutions in mean-variance portfolio analysis

Article Abstract:

Epsilon-efficiency algorithms solve problems of choosing a set of portfolio. Computational efficiency of epsilon-dominated algorithms are performed using other algorithms with a given number of iterations and mean-variance preference structures. The approach is shown to generate alternative and acceptable sets of portfolio with no restrictions on the number of iterations to be performed.

Portfolio Management, Research, Models, Usage, Algorithms, Analysis of variance

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A Branch and Bound Method for Multi-Objective Boolean Problems

Article Abstract:

An innovative approach to a multiple-goaled boolean problem is highlighted. Formulations of the feasible action space, M-ojective actions, and efficient subsets are highlighted. A La Grangean method is used in computation. This technique suggests that any multiple- goal boolean exercise where non-negative constraint can be styled as an equivalent multi-objective problem.

Management science, Innovations, Europe, Measurement, Environmental aspects, Branch and bound algorithms, Operations Research

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On the use of the asymptotic forms of the Boolean matrix for designing cellular manufacturing systems - an improved approach

Article Abstract:

An enhanced and solid approach on the use of the asymptotic forms of the Boolean matrix in the design of cellular manufacturing systems is developed. The new approach will enable a better method of determining bottlenecks in production processes. Furthermore, the maximum quantity of natural groups present in a given matrix will be determined more efficiently.

Production Planning & Control, Production management, Planning, Production control, Manufacturing cells, Group technology

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