Integrated analysis of quality and production logistics performance in manufacturing lines

被引:82
作者
Colledani, M. [1 ]
Tolio, T. [2 ]
机构
[1] Politecn Milan, Dept Mech Engn, Mfg & Prod Syst Div, I-20156 Milan, Italy
[2] Politecn Milan, Dept Mech Engn, Mfg & Prod Syst Div, I-20156 Milan, Italy
关键词
quality control; control charts; manufacturing systems engineering; Markovian analysis; buffer sizing; DECOMPOSITION METHOD; SYSTEMS; MACHINES; SPACE;
D O I
10.1080/00207540903443246
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents an analytical method for evaluating the performance of production systems, jointly considering in a unique framework quality and production logistics performance measures. In the literature, quality and production logistics have traditionally been investigated using independent approaches. Thus far, only a few recent contributions have focused on their mutual inter-relation, showing that benefits can be achieved from an integrated analysis. This paper contributes to this growing research by considering, for the first time, production systems in which the behaviour of the machines is monitored by statistical control charts. The control action performed by the quality control system on the machines is directly modeled. Moreover, the impact of the quality control action on the logistic flow of parts in the system is taken into account. In order to estimate the performance of such systems, an approximate analytical method based on the system decomposition technique is developed. The accuracy of the method is assessed by comparing the results with those obtained by simulation. Analysis of the results provides new insights into the relations among the quality and production logistics performance measures and paves the way to the development of integrated design techniques for improved configurations of the system as a whole.
引用
收藏
页码:485 / 518
页数:34
相关论文
共 46 条
[1]  
Alwan L. C., 2000, Statistical Process Analysis
[2]   Integration of reconfigurable inspection with stream of variations methodology [J].
Barhak, J ;
Djurdjanovic, D ;
Spicer, P ;
Katz, R .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2005, 45 (4-5) :407-419
[3]   Operational methods for improving manufacturing control plans: case study in a semiconductor industry [J].
Bassetto, Samuel ;
Siadat, Ali .
JOURNAL OF INTELLIGENT MANUFACTURING, 2009, 20 (01) :55-65
[4]   A review of 20 years of range sensor development [J].
Blais, F .
VIDEOMETRICS VII, 2003, 5013 :62-76
[5]  
BULGAK AA, 1992, J MANUF SYST, V11, P124, DOI 10.1016/0278-6125(92)90043-F
[6]  
Burman MH, 1995, THESIS MIT
[7]   MODELS OF AUTOMATIC TRANSFER LINES WITH INVENTORY BANKS - REVIEW AND COMPARISON [J].
BUZACOTT, JA ;
HANIFIN, LE .
AIIE TRANSACTIONS, 1978, 10 (02) :197-207
[8]  
Cheng CH, 2000, IEEE T ENG MANAGE, V47, P321, DOI 10.1109/17.865901
[9]   A decomposition method to support the configuration/reconfiguration of production systems [J].
Colledani, M ;
Tolio, T .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2005, 54 (01) :441-444
[10]   Performance evaluation of production lines with finite buffer capacity producing two different products [J].
Colledani, M ;
Matta, A ;
Tolio, T .
OR SPECTRUM, 2005, 27 (2-3) :243-263