Production Planning of Flexible Manufacturing Systems Using an Efficient Multiobjective Function Considering Failure of Different Machines in Production Unit

Abstract

In modern-day manufacturing process, flexible manufacturing system (FMS) is used for efficient production of parts. In FMS, processing times are important while preparing the production schedule. The manufacturing cost will vary from part to part depending on the processing time and type of machine used. 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. The production timings and corresponding costs vary from machine to machine. The operations sequences for different parts are different. The objective functions considered are minimization of the total flow time, machine workload balancing, maximum workload on machine and minimization of total tool cost. In the first step, we have considered randomly different sequence of operations on different machines, that is, operation index and machine index, and the objective function values are calculated. In the second step, the values of objective function are calculated if a particular machine is not working for manufacturing the three parts, and hence those operations are processed on alternate machines. The observations after calculations are that the total flow time, machine workload, maximum workload on machine and total cost are found to be different for different sequences and due to machine failure these values increased and better operation index and machine index are identified to meet the objective functions.