A workstation design on the computer assembly process for the computer assemblers in Greenhills

• Main Authors: Ngo, Erick, Sia, Jason, Yee, Jeffrey
• Format: text
• Language: English
• Published: Animo Repository 2001
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/12014
• Institution: De La Salle University

Executive Summary. Initially, the computer assembly companies were interviewed. The different postures that assemblers encountered were derived from the pictures and videos that were taken. The survey was analyzed by the perception ratings that were obtained. Risk and pains encountered in the existing workstation, used by the assembly workers in the various computer hardware companies in the Philippines were also determined with the use of a survey-interview. To be able to identify the different problems and difficulties, an appropriate survey questionnaire was used. Interviews were conducted to have first hand information about the work description and the assembly workers workplace. The different pains and difficulties experienced by the assembly workers were determined. The pains that were high ratings were noted. After all the feedbacks and perception of the assemblers towards the tasks have been gathered the actual assembly process was observed. In this study several ergonomic principles were followed. These principles were gathered from the review of literature, which consists of articles and theories about the different studies made on workstation design. With the use of literature that was researched, steps in gathering anthropometric measurements were followed. FMEA was performed and the high ratings of RPN were obtained. Different ideas were generated in order to address the problems that are encountered by the assemblers. In order to come up with the design alternatives the design of experiments was used. In order to determine the important factors such as the height, lighting, and angle of inclination, the test prototypes were used by the six assemblers as suggested by the design of experiments. The software also validated all the procedure of testing made. After the significant factors have been determined, the optimal setting was obtained. The problem was solved through the decrease in the response ratings that were evident in the final prototype.