Towards an adapted lean system - a push-pull manufacturing strategy

被引:16
作者
Lyonnet, Barbara [1 ]
Toscano, Rosario [2 ]
机构
[1] Univ Savoy, SYMME, F-74944 Annecy Le Vieux, France
[2] Ecole Natl Ingenieurs St Etienne, LTDS, UMR 5513, St Etienne, France
关键词
production; lean manufacturing; fuzzy logic; AVAILABLE-TO-PROMISE; MODEL;
D O I
10.1080/09537287.2012.702867
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The direct transplantation or imitation of lean production has led to difficulties of applying a number of lean principles and practices. Thus diffusion of one of the main lean principles, just in time production, which refers to producing only what is really needed, when it is needed, and in the amount needed, seems to be limited. To date, some of the these companies produce more than their customers really need. This method of production enables them not only to amortize the high changeover costs over a large number of products, but also to benefit from commercial opportunities. However these companies are exposed to financial losses related to storage costs and risks of non-sale. To provide decision elements for determining the best production strategy, we have developed a model for calculating the optimal quantity to be produced. Moreover, we suggest using a fuzzy aggregation system to optimise the consideration of the risk of non-sale. This new approach defines the limits to not be exceed by taking into consideration the drawbacks linked to the risks of non-sale.
引用
收藏
页码:346 / 354
页数:9
相关论文
共 31 条
[1]  
Armstrong JS, 2001, EVALUATING FORECASTI
[2]  
Ball MO, 2004, HDB QUANTITATIVE SUP
[3]  
Bouchon-Meunier B.B., 1995, La logique floue et ses applications
[4]  
Boyer Robert., 2002, PRODUCTIVE MODELS
[5]  
Boyer Robert., 1998, IMITATION INNOVATION
[6]  
Chen CY, 2002, PROD OPER MANAG, V11, P424, DOI 10.1111/j.1937-5956.2002.tb00470.x
[7]   Evaluating supply chain integration: a case study using fuzzy logic [J].
Cigolini, R. ;
Rossi, T. .
PRODUCTION PLANNING & CONTROL, 2008, 19 (03) :242-255
[8]   Triangular norms which are meet-morphisms in interval-valued fuzzy set theory [J].
Deschrijver, Glad .
FUZZY SETS AND SYSTEMS, 2011, 181 (01) :88-101
[9]  
Drew J., 2004, JOURNEY LEAN MAKING
[10]  
Driankov Dimiter., 1996, INTRO FUZZY CONTROL, Vsecond