EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
1852. Multicriteria Product Prioritization and Classification Methods to Support Production and Inventory Decisions
Invited abstract in session WB-44: Pairwise comparisons and preference relations 4, stream Multiple Criteria Decision Analysis.
Wednesday, 10:30-12:00Room: 20 (building: 324)
Authors (first author is the speaker)
| 1. | Murat Kaya
|
| Industrial Engineering, Sabanci University |
Abstract
In this study, we propose novel multicriteria product prioritization and classification methods that use criteria from different functions of a manufacturing firm. We transform the scores for each criterion using a quantile transformer. In the prioritization study, the goal is to choose products for pre-build inventory and cycle-stock inventory. Criteria weights are determined with the Analytic Hierarchy Process (AHP) approach. In the classification study, the goal is to develop customized production and inventory policies for different groups of products. To this end, we use Principal Component Analysis (PCA) and Fuzzy C-Means (FCM) clustering. We illustrate the use of the methods with two case studies from a leading tire manufacturer. The methods are transparent and easily understood by company managers. Being structured, data-based as well as flexible, these methods can ease the decision burden on managers, and contribute to quick and well-tailored operational decisions.
Keywords
- Production and Inventory Systems
- Machine Learning
- Analytic Hierarchy Process
Status: accepted
Back to the list of papers