Time and Motion Study Methods for Manufacturing a Pump

Abstract

The purpose of the study was to compare conventional time study method and MOST analysis on oil pump assembly in a manufacturing company. The results showed that the time study resulted in 0.239 minutes and MOST resulted in 0.18 minutes.

Authors and Affiliations

Sukwon Kim

Keywords

Related Articles

An Overview on Neurotoxic Pollutants by Biochemical Markers

Neurotoxins produce molecular and biochemical processes that suggest early-stage effects on exposed people much before or below open illness development. Studying these early occurrences may be a legitimate way to create...

A Study of the Application Domain of a Large Language Models in the Agricultural Sector

Given the expanding global population and the increasing need for food, employing effective agricultural techniques to enhance productivity on finite land resources is imperative. Artificial Intelligence is increasingly...

Ensuring Security and Completeness of Query Results in Cloud

Cloud technology provides data storage services to users to store large amount of data and also provides services that perform data processing. While data comes from different servers on cloud and the processing of the d...

Discrimination Avoidance Methods in Data Mining

Discrimination like privacy is a big issue when legal and ethical aspects of Data mining are considered. Most people don’t like to be discriminated for their gender, religion, nationality, age and so on, especially when...

An Overview on Underutilized Wild Edible Plants as a Source of Alternative Nutrition

Ensuring a stable, hygienic, as well as nutritious food supplies for the poor and undernourished people of emerging economies is a serious concern today. Scarcity, high cost, and intermittent supply of healthy food have...

Download PDF file
  • EP ID EP748306
  • DOI 10.21276/ijircst.2017.5.6.2
  • Views 34
  • Downloads 0

How To Cite

Sukwon Kim (2017). Time and Motion Study Methods for Manufacturing a Pump. International Journal of Innovative Research in Computer Science and Technology, 5(6), -. https://europub.co.uk/articles/-A-748306