Autonomous Maintenance (AM) is a team-based approach to maintenance activities and part of a Total Productive Maintenance (TPM) process. The process is a partnership between operators, maintenance technicians, engineers and leaders in the operation and maintenance of the equipment. The goal of autonomous maintenance is to prepare operators to do some basic daily equipment care independently of the maintenance staff. It is not an awareness course, but a hands-on training for the successful implementation of an autonomous maintenance effort. The steps necessary to involve operators in maintaining their own equipment through daily inspections, lubrications, detection of abnormalities, and precision checks. The result is restoration of equipment to its ideal state, establishment of basic conditions for maintaining it, and prevention of equipment deterioration. Properly implemented, AM eliminates the causes of 40-60% of unplanned downtime, freeing skilled trades for more specialized activities, like major overhauls, upgrades, predictive programs and new equipment planning and design. It is an applied methodology of scientific, objective technique that cause work tasks in a process to be performed with a minimum of non-value adding activities resulting in greatly reduced wait time, queue time, move time, administrative time, and other delays. The prime objective is to evolve and test few strategies to eliminate waste on the shop floor. This work is focused on improving the Productivity of the seat welding and assembly plant by reducing the down time using lean tools. The non-value added activities which are identified in the assembly line will be eliminated using lean tools. The paper addresses the productivity improvement of a seat welding and assembly line. The goal of this paper is to identify and reduce the downtimes. An attempt has been made in this paper to present some experiences of implementing new productivity improvement strategies in a small company. In this paper experiences with implementation of productivity improvement strategies are presented. © 2016, International Journal of Pharmacy and Technology. All rights reserved.