Dynamic capacity apportionment procedure exposed to different business conditions

SOAR Home
→
Graduate School
→
GRASP: Graduate Research and Scholarly Projects
→
Proceedings: 6th Annual Symposium: Graduate Research and Scholarly Projects
→
View Item

dc.contributor.advisor	Yildirim, Mehmet Bayram
dc.contributor.advisor	Barut, Mehmet
dc.contributor.author	Santos-Pinzon, Jorge E.
dc.date.accessioned	2010-09-23T15:43:14Z
dc.date.available	2010-09-23T15:43:14Z
dc.date.issued	2010-04-23
dc.identifier.citation	Santos-Pinzon, Jorge E. (2010). Dynamic capacity apportionment procedure exposed to different business conditions. -- In Proceedings: 6th Annual Symposium: Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University, p. 181-182	en
dc.identifier.uri	http://hdl.handle.net/10057/3238
dc.description	Paper presented to the 6th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 23, 2010.	en
dc.description	Research completed at the Department of Industrial Engineering, College of Engineering	en
dc.description.abstract	Revenue management (RM) is a methodology used to allocate resources in order to maximize revenue. Capacity allocation is one of the problems in RM when demand surpasses the available capacity. This problem is addressed by allocating capacity using a dynamic capacity apportionment procedure (DCAP). In this study, the objective is to analyze the effectiveness of DCAP and present its behavior under different scenarios and business conditions such as, non-decreasing due dates, multiple products, and contracts for capacity reservation. Simulations showed that among 600 experimental conditions replicated 10 times, DCAP resulted in a maximum total profit increase of 51.3% increase and a minimum of -0.18% compared to the first come first serve policy. Additionally, results also demonstrated that factors such as capacity tightness, profit attractiveness, and order rate scenarios significantly influenced DCAP’s performance.	en
dc.format.extent	131903 bytes
dc.format.extent	1843 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	text/plain
dc.language.iso	en_US	en
dc.publisher	Wichita State University. Graduate School	en
dc.relation.ispartofseries	GRASP	en
dc.relation.ispartofseries	v.6	en
dc.title	Dynamic capacity apportionment procedure exposed to different business conditions	en
dc.type	Conference paper	en