A PRACTICAL APPROACH TO PERFORMANCE IMPROVEMENT AND OPTIMISATION IN SUPPLY CHAIN MANAGEMENT

被引:0
作者
Smew, Walid [1 ]
Young, Paul [1 ]
Geraghty, John [1 ]
机构
[1] Dublin City Univ, Enterprise Proc Res Ctr, Sch Mech & Mfg Engn, Dublin 9, Ireland
来源
EUROPEAN SIMULATION AND MODELLING CONFERENCE 2010 | 2010年
关键词
Supply chain management; Kanban; Modelling; Discrete event simulation; Design of experiment; Optimisation; KANBAN SYSTEMS; MANUFACTURING ENVIRONMENT; CONTROL STRATEGIES; CONTROL MECHANISMS; PULL; PUSH; MRP; CONWIP; DESIGN; ISSUES;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a simulation study of a serial supply chain employing the Kanban production control strategy and examines the trade-off between the conflicting objectives of maximising customer service level and minimising average Work-In-Process (WIP). A simulation model was developed in Extend Sim V6 for a four-node centralised serial Supply Chain (SC) adopting Kanban to process a single product. The model was used to explore the impact of essential input factors e.g. the number of Kanban cards at each node, the maximum production capacity of a node, and the standard deviation of demand on customer service level and the average WIP using Response Surface Methodology (RSM). Design-Expert V7 was used to construct the experimental design matrices, analyse the experimental data, and conduct a metamodel-based multi-objective SC optimisation. This paper provides a discussion of the experimental results and implications for supply chain managers and offers insights on future research opportunities in this field.
引用
收藏
页码:391 / 395
页数:5
相关论文
共 32 条
[1]   An overview of design and operational issues of kanban systems [J].
Akturk, MS ;
Erhun, F .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1999, 37 (17) :3859-3881
[2]   Comparison of production-line control mechanisms [J].
Bonvik, AM ;
Couch, CE ;
Gershwin, SB .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1997, 35 (03) :789-804
[3]   QUEUING MODELS OF KANBAN AND MRP CONTROLLED PRODUCTION SYSTEMS [J].
BUZACOTT, JA .
ENGINEERING COSTS AND PRODUCTION ECONOMICS, 1989, 17 (1-4) :3-20
[4]   GENERIC KANBAN SYSTEMS FOR DYNAMIC ENVIRONMENTS [J].
CHANG, TM ;
YIH, Y .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1994, 32 (04) :889-902
[5]  
Dallery Y, 2000, IIE TRANS, V32, P369, DOI 10.1080/07408170008963914
[6]   INTEGRATING KANBAN TYPE PULL SYSTEMS AND MRP TYPE PUSH SYSTEMS - INSIGHTS FROM A MARKOVIAN MODEL [J].
DELEERSNYDER, JL ;
HODGSON, TJ ;
KING, RE ;
OGRADY, PJ ;
SAVVA, A .
IIE TRANSACTIONS, 1992, 24 (03) :43-56
[7]  
DERRINGER G, 1980, J QUAL TECHNOL, V12, P214, DOI 10.1080/00224065.1980.11980968
[8]   Box-Behnken design: An alternative for the optimization of analytical methods [J].
Ferreira, S. L. C. ;
Bruns, R. E. ;
Ferreira, H. S. ;
Matos, G. D. ;
David, J. M. ;
Brandao, G. C. ;
da Silva, E. G. P. ;
Portugal, L. A. ;
dos Reis, P. S. ;
Souza, A. S. ;
dos Santos, W. N. L. .
ANALYTICA CHIMICA ACTA, 2007, 597 (02) :179-186
[9]   A methodology to customize pull control systems [J].
Gaury, EGA ;
Kleijnen, JPC ;
Pierreval, H .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2001, 52 (07) :789-799
[10]   A hybrid push/pull system in assemble-to-order manufacturing environment [J].
Ghrayeb, Omar ;
Phojanamongkolkij, Nipa ;
Tan, Boon Aik .
JOURNAL OF INTELLIGENT MANUFACTURING, 2009, 20 (04) :379-387