Performance evaluation of small-batch container delivery systems used in lean manufacturing - Part 2: Number of Kanban and workstation starvation

International Journal of Production Research

Volumn 51, Issue 2, 2013, Pages 568-581

  Ciemnoczolowski, David D ^a   Bozer, Yavuz A ^b  

^a MONSANTO COMPANY   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Lean manufacturing; Material flow; Materials handling; Milk run systems; Small batch delivery

Indexed keywords

ANALYTIC APPROXIMATION; ANALYTICAL APPROXIMATION; CYCLE TIME; DELIVERY SYSTEMS; FACTORY FLOORS; LEAN MANUFACTURING; MANUFACTURING PLANT; MATERIAL FLOW; MATERIAL HANDLING SYSTEMS; PERFORMANCE EVALUATION; SMALL-BATCH DELIVERY; STABILITY CONDITION; STORAGE AREA;

AGILE MANUFACTURING SYSTEMS; CONTAINERS; MATERIALS HANDLING;

SYSTEM STABILITY;

EID: 84871239469     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2012.656331     Document Type: Article

References (4)

1. Harris, R., Harris, C., and Wilson, E., 2003. Making materials flow: a lean material-handling guide for operations, productioncontrol, and engineering professionals. Cambridge, MA: The Lean Enterprise Institute, Inc.
2. Little, J.D.C., 1961. A proof of the queuing formula: L=λW. Operations Research, 9 (3), 383-387.
3. Marchwinski, C., 2009. Following four steps to a lean material-handling system leads to a leap in performance [online]. Knowledge Center. Available at: www.lean.org [Accessed 30 June 2011].
4. Monden, Y., 1998. The Toyota production system. 3rd edn. Norcross, Georgia: Engineering and Management Press (a division of the Institute of Industrial Engineers).