Academic Journals Database
Disseminating quality controlled scientific knowledge

OPTIMIZATION OF MULTI-OBJECTVE FACILITY LAYOUT USING NON-TRADITIONAL OPTIMIZATION TECHNIQUE

ADD TO MY LIST
 
Author(s): S. NARAYANA REDDY | V.VARAPRASAD | DR. V.VEERANNA

Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462

Volume: 4;
Issue: 2;
Start page: 564;
Date: 2012;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: Facility Layout | particle swarm optimization | Heuristic procedure

ABSTRACT
Increased global competition in manufacturing and increased consciousness towards reducing manufacturing costs has renewed interest in the efficient design of facility layout. The success of a manufacturing organization depends on the proper design of various systems required in the production cycle. One such system is design of the facility that is able to adapt quickly and effectively, the technological changes and market requirements. Facility layout problem deals with the physical arrangement of a given number of machines or departments within a given configuration. The assignment of facilities to locations is one of the most important issues that must be resolved in manufacturing systems. The facilities layout focuses on the organization of a company’s physical facilities to promote the efficient use of resources such as equipment, material, people and energy. Well-studied combinatorial optimization problem arises in a variety of problems such as schools, airports, etc. but the focus of our work is on solving the facility layout of manufacturing plants. Several researchers have used different methodologies for getting better solutions of facility layout problems. The methodologies that are used to solve the facility layout problems are discussed briefly in this paper work. Alternative layouts are generated for the arrangement of facilities using a software program written in Turbo C++, taking qualitative and quantitative inputs in the form of flow matrix, distance matrix and closeness rating matrix. Scores are computed for each of thealternative layout generated. Based on their scores, the alternative layouts are evaluated and the best among them is selected. The results are obtained by running the program. The best layout among the alternatives is evaluated based on lowest objective function value.
Affiliate Program      Why do you need a reservation system?