Formulation of Operational Research and Optimization in an Automobile Engine Assembly Line

Rahul   Kumar; Manjeet  Bohat

Abstract

Depending upon the priorities of the management, primary focus on reducing either cycle time ortotal energy consumption, suitable models could be selected. The proposed models are useful toreduce the total energy consumption and cycle time in robotic assembly lines. It is observed that thecomputation time for the time based model is less compared to energy based model. Manufacturingindustries give importance to the reduction of energy consumption due to the increase in energy costand to create an eco-friendly environment. Assembly line is considered to be one of the cost intensivesystems. Robots are recently being used to perform the assembly tasks instead of manual labor. Thereis a requirement of efficiently balancing the assembly line by allocating equal amount of work toworkstations and assignment of best fit robot to perform the tasks allocated to those workstations.Waste reduces the efficiency of the process and also demands require special equipment. Theindustries need to focus on optimization of process by shorten the time between the customer orderand the product build due to shipment by addressing sources of waste. Establishment and use of aprocess that is most efficient is always be the prime concern but due to some or the other reason theyare not able to do so. Practically it is not feasible to obtain ideal efficiency because there is somethingwhich is lost in every process which is Waste or error. Workstation Stability and ContinuousImprovement Mapping is the techniques used for reducing manufacturing wastes and increase inefficiency, for such process several parameters are being identified in an industry also evaluationsare done on an every monthly basis and comparisons are followed with the pre-determined standardsto identify the scope of improvement to increase the efficiency and reduce waste.

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