Multi-objective optimization in single-row layout design using a genetic algorithm
MetadataShow full item record
The final publication is available at http://www.springerlink.com
This paper presents the development of a genetic algorithm for determining a common linear machine sequence for multi-products with different operation sequences and facilities with a limited number of duplicate machine types available for a job. This work aims to minimize the total flow distance travelled by products, reduce the number of machines arranged in the final linear sequence, and decrease the total investment cost of the machines used in the final sequence. We assume that product flow runs only in the forward direction, either via in-sequence or bypass movement. We demonstrate the effectiveness of the proposed algorithm by solving a typical layout design problem taken from literature, and several randomly generated problems. Results indicate that the proposed algorithm serves as a practical decision support tool for resolving layout problems in manufacturing facilities.
Showing items related by title, author, creator and subject.
Lenin, N.; Siva Kumar, M.; Ravindran, D.; Islam, Mohammad Nazrul (2014)This paper addresses the problem of multi objective facility layout planning. The aim is to solve the single row facility layout problems (SRFLP) and find the linear machine sequence which minimizes the following: the ...
Lenin, N.; Siva Kumar, M.; Ravindran, D.; Vignesh K.; Islam, Mohammad Nazrul (2013)This paper presents the development of heuristics for determining a common linear machine sequence for multi-products with different operation sequences and facilities with a limited number of duplicate machine types ...
Kumar, M.; Islam, Mohammad Nazrul; Lenin, N.; Kumar, D.; Ravingran, D. (2010)This paper presents a simple heuristic to determine a common linear machine sequence for multiple products with different operation sequences and a limited number of duplicate machine types available for the job. The ...