reviewTop 1% cited
Lot Sizing with Random Yields: A Review
Operations Research · 1995 · Vol. 43(2) · pp. 311–334
Candace Arai Yano✉(University of California, Berkeley)Hau L. Lee(Stanford University)
Abstract
This paper reviews the literature on quantitatively-oriented approaches for determining lot sizes when production or procurement yields are random. We discuss issues related to the modeling of costs, yield uncertainty, and performance in the context of systems with random yields. We provide a review of the existing literature, concentrating on descriptions of the types of problems that have been solved and important structural results. We identify a variety of shortcomings of the literature in addressing problems encountered in practice, and suggest directions for future research.
Supply Chain and Inventory ManagementScheduling and Optimization AlgorithmsConsumer Market Behavior and PricingSizingVariety (cybernetics)Computer scienceProcurementContext (archaeology)Operations researchYield (engineering)Management scienceProduction (economics)Industrial engineering
Citations
955
FWCI
23.42
field-weighted impact
References
87
Percentile
100%
vs. same field & year
Citations per year
Cited by
Perspectives in supply chain risk management
International Journal of Production Economics · 2006 · 2,463 citations
On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks
Management Science · 2006 · 1,692 citations
Models for production planning under uncertainty: A review
International Journal of Production Economics · 2006 · 649 citations
A literature review on the impact of RFID technologies on supply chain management
International Journal of Production Economics · 2010 · 576 citations
References
Dynamic Version of the Economic Lot Size Model
Management Science · 2004 · 2,076 citations
Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction
Operations Research · 1986 · 1,158 citations
Dynamic Programming
Science · 1966 · 13,052 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
