Common Cycle Lot-Size Scheduling for Multi-Product, Multi-Stage Production

Mohammad K. El-Najdawi and Paul R. Kleindorfer
Additional contact information
Mohammad K. El-Najdawi: College of Commerce and Finance, Villanova University, Villanova, Pennsylvania 19085
Paul R. Kleindorfer: The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104

Management Science, 1993, vol. 39, issue 7, 872-885

Abstract: In this paper we study the Common Cycle Scheduling Problem (CCSP). This classic production problem is concerned with determining optimal production lot sizes for a given set of products using a common facility. CCSP is based on scheduling all products using a common (base) cycle time, so that the lot size for each product is the forecasted demand for that product over the base cycle time. This research provides an optimizing framework for CCSP for a multi-stage, multi-product, flow-shop environment under deterministic and stationary conditions, assuming a fixed sequence is maintained across all processing stages. The framework presented considers the costs of work-in-process inventory and determines a jointly optimal common cycle time and production schedule (start and finish times for each product's production lot-size) for the multi-stage facility in question. The paper also reports some results on the impact of alternative sequencing rules for the CCSP context.

Keywords: inventory management; production planning; production scheduling; job-shop scheduling; common cycle scheduling; lot-size scheduling; cyclic scheduling (search for similar items in EconPapers)
Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.39.7.872 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:39:y:1993:i:7:p:872-885

Access Statistics for this article

More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().