Tools for QRM implementation in job shop environment

Lim, Chooi Jing (2016) Tools for QRM implementation in job shop environment. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

	Text (24 Pages) Tools For QRM Implementation In Job Shop Environment 24 Pages.pdf - Submitted Version Download (523kB)
	Text (Full Text) Tools for QRM implementation in job shop environment.pdf - Submitted Version Restricted to Repository staff only Download (2MB)

Abstract

Lean Manufacturing philosophy is the most common used philosophy where the main idea is reducing cost, improving quality and reducing product cycles time which leads to fast delivery. However, lean will only be more successful in producing high mix volume characteristic in an assembly line when there is a stable demand from customer in the production line. Quick Response Manufacturing (QRM) is a new approach where the main concept is to focus in reducing lead time throughout the enterprise and provides organizations in competing advantages. QRM consider as a new philosophy but is an effective strategy for job shop environment where it capable in producing high mix production and low volume demand from customer. This project is carried out in a case company that produces mainly precision components. The company produces over 160 product families where each of the products has different process routes and times. This company is considered being a job shop environment company where it is confronted with consistently long Work-In-Process which leads to poor on-time delivery to their customer. In order to cope with this problem, a tool for automated generates number of POLCA cards will be developed accordingly to the current situation. This tool will helps in calculating the number of POLCA cards needed automatically which ease human work and time and can be easily converted for implementation in other job shop environment industries. POLCA system can be applied into the entire virtual cell where the receive jobs are group together according to same demand of volume and similarity in process. As a result, the lead time and poor on-time delivery can be solved.

Actions (login required)

View Item