This paper presents a case study for inventory management for an oilfield equipment company. The management encounters the problem of deciding which parts to manufacture in-house and which ones to subcontract. A decision support system (DSS) is developed which ranks component parts by integrating multi-criteria classification methods considering both quantitative (e.g., cost and demand) and qualitative (e.g., importance) factors. The focus on this research is to perform a sensitivity analysis on weight assignment for each criterion. This information is important in applications of inventory management since industries may not be able to manufacture all the necessary parts on time. Real world data from an oilfield equipment industry are used where inventory control problems have arisen because the company does not have the capacity to manufacture all the required parts to satisfy customer orders.
Skip Nav Destination
ASME 2011 International Manufacturing Science and Engineering Conference
June 13–17, 2011
Corvallis, Oregon, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-4431-1
PROCEEDINGS PAPER
Sensitivity Analysis on Inventory Classification Methods for Oilfield Equipment Industry Available to Purchase
Juan Hincapie,
Juan Hincapie
University of Louisiana - Lafayette, Lafayette, LA
Search for other works by this author on:
Jim Lee,
Jim Lee
University of Louisiana - Lafayette, Lafayette, LA
Search for other works by this author on:
William Emblom
William Emblom
University of Louisiana - Lafayette, Lafayette, LA
Search for other works by this author on:
Juan Hincapie
University of Louisiana - Lafayette, Lafayette, LA
Jim Lee
University of Louisiana - Lafayette, Lafayette, LA
William Emblom
University of Louisiana - Lafayette, Lafayette, LA
Paper No:
MSEC2011-50172, pp. 145-153; 9 pages
Published Online:
September 14, 2011
Citation
Hincapie, J, Lee, J, & Emblom, W. "Sensitivity Analysis on Inventory Classification Methods for Oilfield Equipment Industry." Proceedings of the ASME 2011 International Manufacturing Science and Engineering Conference. ASME 2011 International Manufacturing Science and Engineering Conference, Volume 2. Corvallis, Oregon, USA. June 13–17, 2011. pp. 145-153. ASME. https://doi.org/10.1115/MSEC2011-50172
Download citation file:
12
Views
Related Articles
Bayesian and Sensitivity Analysis Approaches to Modeling the Direct Solar Irradiance
J. Sol. Energy Eng (August,2006)
Related Chapters
A Smart Sampling Strategy for One-at-a-Time Sensitivity Experiments (PSAM-0360)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
Techniques for Sensitivity Analyses on Non-Monotonic Functions (PSAM-0378)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
The Effect of Conservatism on Identifying Influential Parameters (PSAM-0381)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)