Base stock versus WIP cap in single-stage make-to-stock production-inventory systems

IIE Transactions (Institute of Industrial Engineers)

Volumn 34, Issue 7, 2002, Pages 627-636

  Liberopoulos, George ^a   Dallery, Yves ^b  

^a UNIVERSITY OF THESSALY   (Greece)

^b ECOLE CENTRALE PARIS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

INVENTORY CONTROL; OPTIMIZATION; PROCESS CONTROL; PROCESS ENGINEERING; PUBLIC POLICY;

BASE STOCK; WORK IN PROCESS;

PRODUCTION ENGINEERING;

EID: 0036643330     PISSN: 0740817X     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1014503725395     Document Type: Article

References (20)

1. A comparison of production-line control mechanisms
2. Queueing models of kanban and MRP controlled production systems
3. Extended kanban control system: Combining kanban and base stock
4. Comparison among three pull control policies: Kanban, base stock and generalized kanban
5. An inventory model with limited production capacity and uncertain demands I: The average-cost criterion
6. An inventory model with limited production capacity and uncertain demands II: The discounted-cost criterion
7. On the design of generalized kanban control systems
8. Optimal policies and simulation based optimization for capacitated production inventory systems
9. A performance comparison of pull control mechanisms for multi-stage manufacturing systems
10. On the optimization of a single-stage generalized kanban control system in manufacturing
11. A unified framework for pull control mechanisms in multistage manufacturing systems
12. Numerical investigation of trade-offs between base stock levels, numbers of kanbans and production lead times in production-inventory supply chains with advance demand information
13. Setting base stock levels using product-form queueing networks
14. Customer service in pull production systems
15. CONWIP: A pull alternative to kanban
16. An adaptive approach to controlling kanban systems
17. Optimal control of a two-station tandem production-inventory system
18. A kanban-like production control system: Analysis of simple models