Abstract
In modern-day manufacturing process, flexible manufacturing system (FMS) is used for efficient production of parts. For manufacturing of specific parts, parts should be processed in a specified sequence of operations. It will be better to identify different possible sequence of operations on different machines and their cost implications in case of any machine failures. In this paper, a case study is considered in which three machines produce three different parts by doing different operations. Each machine can perform all the different operations to produce all the three parts. All the operations can be done in all the three machines, and the production timings and corresponding costs are varying from machine to machine. The sequence of operations for different parts is different. The combined objective function (COF) is formulated by considering the two objectives minimizing the total flow time and minimization of total tool cost with equal weightages. MATLAB Code is written for identifying all the possible sequences of operations, computed their total flow time and tool costs. Best sequences are identified when all machines are working; first machine fails, second machine fails and third machine fails based on COF values.
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Satish Kumar, B., Janardhana Raju, G., Ranga Janardhana, G. (2020). Production Planning in Flexible Manufacturing System by Considering the Multi-Objective Functions. In: Li, L., Pratihar, D., Chakrabarty, S., Mishra, P. (eds) Advances in Materials and Manufacturing Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-1307-7_38
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DOI: https://doi.org/10.1007/978-981-15-1307-7_38
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