Two-Level Lot Sizing Models for an Unreliable Production Facility: Case of Finite Horizon and Single Demand
AbstractIn this paper we propose several models for production lot sizing for finite horizon and single quantity demands. We consider two-level inventory systems in which we take into account inventory costs for finished as well as unfinished goods. The production facility is subject to failures and repairs. The models are solved to optimality and the solution is either obtained in closed form or through very efficient algorithms.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by The A. Gary Anderson Graduate School of Management. University of California Riverside in its series The A. Gary Anderson Graduate School of Management with number 99-04.
Length: 29 pages
Date of creation: 1999
Date of revision:
Contact details of provider:
Postal: The A. Gary Anderson Graduate School of Management. University of California, Riverside. Riverside CA 92521
Web page: http://www.agsm.ucr.edu/
More information through EDIRC
PRODUCTION ; PLANNING ; BUSINESS ORGANIZATION ; ECONOMIC MODELS;
Find related papers by JEL classification:
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- M11 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration - - - Production Management
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel).
If references are entirely missing, you can add them using this form.