Cost-benefit and performance analysis of a stochastic model on printed circuit boards manufacturing process
Rajeev Kumar and
Shefali Batra
International Journal of Mathematics in Operational Research, 2016, vol. 8, issue 4, 490-508
Abstract:
The paper presents analyses of stochastic model proposed for a printed circuit boards (PCBs) manufacturing process. The process involves a hardware-software system based on surface mount technology that comprises of three stages: printing, pasting and soldering. Various faults that occur in the system as well as in manufactured PCBs are inspected by internal engineers. It is considered that for the system/manufactured PCBs the internal engineers repair ordinary software/components faults whereas other complex faults are get repaired by calling external engineers. Using Markov process and regenerative techniques, various measures of system performance are obtained and performance as well as cost-benefit analysis of the model is carried out. Through a graphical study, various conclusions are drawn for the system regarding its reliability, availability and profit. Further, it is shown that the proposed model is better than the existing model for the system given in Kumar and Batra (2012) wherein automatic PCB inspection by the system and no repair facility for PCBs is considered.
Keywords: printed circuit boards; PCBs; surface mount technology; SMT; cost-benefit analysis; performance measures; Makrov process; regenerative techniques; stochastic modelling; performance evaluation; PCB manufacturing; reliability; availability; profitability; PCB inspection. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=76789 (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:ijmore:v:8:y:2016:i:4:p:490-508
Access Statistics for this article
More articles in International Journal of Mathematics in Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().