A comparative study of the performance of push and pull systems in the presence of emergency orders

International Journal of Production Research

Volumn 40, Issue 7, 2002, Pages 1627-1646

  Kim, Kilsun ^a   Chhajed, Dilip ^b   Palekar, Udatta S ^c  

^a Sogang University   (South Korea)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^c University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONCURRENT ENGINEERING; COST BENEFIT ANALYSIS; INVENTORY CONTROL; OPERATIONS RESEARCH; PLANNING; SYSTEMS ENGINEERING; TIME AND MOTION STUDY;

CAPACITY PLANNING; CURRENT STOCKS; OPERATING COSTS; PUSH AND PULL SYSTEMS;

PRODUCTION ENGINEERING;

EID: 0037053058     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207540110118406     Document Type: Article

References (23)

1. Order expedition in multi-echelon product/distribution systems
2. An experimental study of the effectiveness of rolling schedules in production planning
3. An experimental evaluation of some safety stock and scheduling procedures in a multi-product, multi-stage production inventory system under stochastic conditions
4. A comparison of strategies to dampen nervousness in MRP systems
5. Are push and pull systems really so different?
6. The effectiveness of extending the horizon in rolling production scheduling
7. Production management techniques: Push-pull classification and application conditions
8. Push, pull and hybrid control schemes
9. Master production rescheduling policy in capacity-constrained just-in-time make-to-order environments
10. Kanban, MRP, and shaping the manufacturing environment
11. Location of inventories in a MRP environment
12. Push and pull in manufacturing and distribution systems
13. Approximations to optimal policies in a dynamic inventory model
14. The performance of push and pull system: A simulation and comparative study
15. Material requirement planning
16. Freezing the master production schedule under rolling planning horizons
17. The behavior of lot-sizing procedures in the presence of forecast errors
18. Material requirement planning under uncertainty
19. Replanning the master production schedule for a capacity-constrained job shop
20. Freezing the master production schedule for material requirement planning systems under demand uncertainty