 Managing yield by lot splitting in a serial production line with learning, rework and scrapMohamad Y. Jaber and Mehmood Khan International Journal of Production Economics, 2010, vol. 124, issue 1, 32-39 Abstract: Wright's (1936) learning curve (WLC) depicts that the time required to accomplish a repetitive operation decreases with each subsequent repetition. The WLC model assumes that the components produced in an operation are all of perfect quality. On the other hand, in many production operations, some of the components require rework. Some components are even scrapped if they cannot be reworked. We employ the WLC model by considering the learning process in the time to produce and the time to rework a given lot. This composite learning curve was developed by Jaber and Guiffrida (2004). The impact of splitting a production lot into batches of equal size is studied through this composite learning curve. The objective of the study is to maximize a combination of performance of average processing time and process yield with respect to the number of batches. The effect of varying the learning curve parameters in production and in rework is studied for the developed model. Keywords: Learning; curves; Lot; splitting; Product; quality; Reworks; Scraps (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:124:y:2010:i:1:p:32-39 Access Statistics for this article International Journal of Production Economics is currently edited by Stefan Minner More articles in International Journal of Production Economics from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.