00000ctm a22000004a 4500 UP-99796217610303664 Buklod 20120510084304.0 a grb 001 u| ta 080210s1991 xx r |000 u|eng d (iLib)UPD-00184903110 DENG eng DMLUC LG 995 1991 E6 M45 Mendoza, Magdalena L. A methodology to determine the effects of the levels of production automation on productivity, quality and working conditions Magdalena L. Mendoza. xii, 107 leaves Computer print-out (photocopy). Thesis (M.S.)--University of the Philippines, Diliman. A methodology for determining the effects of production automation on productivity, quality and working conditions was developed .This methodology involved characterization of the level and degree of production automation using an Automation Profiling Chart. Ten Levels of Automation ranging from manual to fully automated systems were defined. The effects of automating a specific manufacturing task were evaluated using quantitative and qualitative measures. Effect of automation on productivity was measured in terms of output to input ratios. Effect of automation on quality was gauged based on rejection rate, rework rate and scrappage rate. Effect of automation on working conditions was evaluated based on qualitative indicators such as exposure to hazards and toxic chemicals, fatigue, difficulty of work, material handling required and manual control needed. Three production processes performed at different levels of automation were studied. Results of the study confirmed earlier assertions on labour-productivity-increasing effects of production automation. Based on this study, quality performance is found to be dependent on the extent of automation i.e. small difference in the levels of automation may not yield the desired increase in quality performance. This study also shows that working conditions in an automated environment is better than that in a manual process. The study points to new areas of investigation. For instance, other production inputs such as material, energy and capital should also be considered when measuring the effects of automation on productivity . The study could also be enhanced by using quantitative measure to determine the effects of production automation on working conditions. The application of automation profiling methodology on a specific operation or equipment is also a good subject for future research. This study could also be extended to cover a number of companies in a specific industry. Finally, a comprehensive yardstick when deciding on automation projects such as an Automation Justification Index is recommended for further study. Automation Economic aspects. Labor productiviaty. Manufacturing processes Effect of automation on. Work environment. FI UP Thesis UPD DARCHIVES LG 995 1991 E6 M45 UPD DENG LG 995 1991 E6 M45 Thesis