Simulation modelling and development of analytic hierarchy process-based priority dispatching rule for a dynamic press shop
Thenarasu Mohanavelu,
Rameshkumar Krishnaswamy and
Prakash Marimuthu
International Journal of Industrial and Systems Engineering, 2017, vol. 27, issue 3, 340-364
Abstract:
In this paper, a detailed study has been made at an auto ancillary unit to prioritise the jobs in a press shop which accommodates 170 types of jobs and 27 press machines with different order quantities. The main objective of this work is to develop a simulation model of the press shop to study the performance measures such as lead-time, WIP, machine utilisation, and queue-related statistics and to develop an effective job priority system which improves the performance measures of the press shop. A novel analytic hierarchy process (AHP)-based priority dispatching rule is presented in this study by assigning weights to the factors such as due date, production volume and processing time. The proposed AHP-based priority rule is implemented in the proposed simulation model and it is found to be effective in improving the most of the performance measures considered in this study.
Keywords: job shop; analytic hierarchy process; AHP; discrete event simulation; ARENA; priority dispatching rules; PDRs. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=87190 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:27:y:2017:i:3:p:340-364
Access Statistics for this article
More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().