In an automotive production system, material handling is a critical activity in terms of increasing system efficiency and reducing overall cost. The existing literatures often separate the production system and material handling system, and ignore the coupling relations between the two systems. In this paper, an integrated modeling approach is developed to mathematically describe a dynamic production system including production operation and material handling system. A modified max-plus algebra based model with “shifting” mechanism is developed to overcome the synchronization constraints of traditional max-plus linear properties, and adapt to the dynamic change of the system under various conditions, such as starvation caused by material handling. The case study demonstrates that the new modeling approach is effective and efficient (180 times faster comparing with simulation method) in real-time system analytics and control to improve productivity and reduce cost.

References

1.
Baccelli
,
F.
,
Cohen
,
G.
,
Olsder
,
G.
, and
Quadrat
,
J.
,
1993
,
Synchronization and Linearity
,
John Wiley & Sons
,
New York
.
2.
Banks
,
J.
,
Carson
,
J. S.
,
Nelson
,
B. L.
, and
Nicol
,
D. M.
,
2004
,
Discrete-Event System Simulation
, 4th ed.,
Prentice Hall
,
Upper Saddle River, NJ
.
3.
Harding
,
J. A.
, and
Popplewell
,
K.
,
2000
, “
Simulation: An Application of Factory Design Process Methodology
,”
J. Oper. Res. Soc.
,
51
(
4
), pp.
440
448
.10.1057/palgrave.jors.2600896
4.
Law
,
A. M.
, and
Kelton
,
W. D.
,
1999
,
Simulation Modeling and Analysis
, 3rd ed.,
McGraw-Hill
,
New York
.
5.
Cassandras
,
C. G.
, and
Lafortune
,
S.
,
1999
,
Introduction to Discrete Event Systems
,
Springer
,
Boston
.
6.
Schruben
,
L.
,
2000
, “
Mathematical Programming Models of Discrete Event System Dynamics
,” Proceedings of the 2000 Winter Simulation Conference (
WSC
).10.1109/WSC.2000.899742
7.
Freimer
,
M.
, and
Schruben
,
L.
,
2001
, “
Graphical Representation of IPA Estimation
,” Proceedings of the 2001 Winter Simulation Conference (
WSC
).10.1109/WSC.2001.977315
8.
Savage
,
E. L.
,
Schruben
,
L.
, and
Yucesan
,
E.
,
2005
, “
On the Generality of Event-Graph Models
,”
INFORMS J. Comput.
,
17
(
1
), pp.
3
9
.10.1287/ijoc.1030.0053
9.
Schruben
,
L.
,
2007
, “
Modeling Causality With Event Relationship Graphs
,”
Handbook of Dynamic System Modeling
,
Fishwick, PA
, pp.
1
21
, 23.
10.
Das
,
S. R.
,
2000
, “
Adaptive Protocols for Parallel Discrete Event Simulation
,”
J. Oper. Res. Soc.
,
51
(
4
), pp.
385
394
.10.1057/palgrave.jors.2600895
11.
Fujimoto
,
R. M.
,
2000
,
Parallel and Distributed Simulation Systems
,
Wiley-Interscience
, New York.
12.
Bertsekas
,
D. P.
, and
Tsitsiklis
,
J. N.
,
1997
,
Parallel and Distributed Computation: Numerical Methods
,
Athena Scientific
,
Nashua, NH
.
13.
Dallery
,
Y.
, and
Gershwin
,
S. B.
,
1992
, “
Manufacturing Flow Line Systems: A Review of Models and Analytical Results
,”
Queueing Syst.
,
12
, pp.
3
94
.10.1007/BF01158636
14.
Li
,
J.
,
Blumenfeld
,
D. E.
, and
Alden
,
J. M.
,
2006
, “
Comparisons of Two-Machine Line Models in Throughput Analysis
,”
Int. J. Prod. Res.
,
44
, pp.
1375
1398
.10.1080/00207540500371980
15.
Li
,
J.
, and
Meerkov
,
S. M.
,
2007
,
Production Systems Engineering
,
Wingspan Press
,
Livermore, CA
.
16.
Li
,
J.
,
Blumenfeld
,
D. E.
,
Huang
,
N.
, and
Alden
,
J. M.
,
2009
, “
Throughput Analysis of Production Systems: Recent Advances and Future Topics
,”
Int. J. Prod. Res.
,
47
, pp.
3823
3851
.10.1080/00207540701829752
17.
Cassandras
,
C. G.
, and
Lafortune
,
S.
,
1999
,
Introduction to Discrete Event Systems
,
Kluwer Academic
,
Boston, MA
.
18.
Govil
,
M. C.
, and
Fu
,
M. C.
,
1999
, “
Queueing Theory in Manufacturing: A Survey
,”
J. Manuf. Syst.
,
18
, pp.
214
240
.10.1016/S0278-6125(99)80033-8
19.
Yao
,
D. D.
,
1994
,
Stochastic Modeling and Analysis of Manufacturing Systems
,
Springer-Verlag
,
New York
.
20.
Gershwin
,
S. B.
,
1994
,
Manufacturing Systems Engineering
,
PTR Prentice Hall
,
Englewood Cliffs, NJ
.
21.
Le Bihan
,
H.
, and
Dallery
,
Y.
,
2000
, “
A Robust Decomposition Method for the Analysis of Production Lines With Unreliable Machines and Finite Buffers
,”
Ann. Oper. Res.
,
93
, pp.
265
297
.10.1023/A:1018996428429
22.
Buzacott
,
J. A.
, and
Shantikumar
,
J. G.
,
1993
,
Stochastic Models of Manufacturing Systems
,
Prentice Hall
,
Englewood Cliffs, NJ
.
23.
Altiok
,
T.
,
1997
,
Performance Analysis of Manufacturing Systems
,
Springer
,
Berlin
.
24.
Becker
,
B.
, and
Lastovetsky
,
A.
,
2010
, “
Max-Plus Algebra and Discrete Event Simulation on Parallel Hierarchical Heterogeneous Platforms
,”
Euro-Par 2010/HeteroPar 2010
,
Ischia-Naples
,
Italy
.
25.
Alexopoulos
,
K.
,
Papakostas
,
N.
,
Mourtzis
,
D.
,
Gogos
,
P.
, and
Chryssolouris
,
G.
,
2007
, “
Quantifying the Flexibility of a Manufacturing System by Applying the Transfer Function
,”
Int. J. Comput. Integr. Manuf.
,
20
(
6
), pp.
538
547
.10.1080/09511920600930046
26.
Krivulin
,
N. K.
,
1995
, “
A Max-Algebra Approach to Modeling and Simulation of Tandem Queueing Systems
,”
Math. Comput. Modell.
,
22
, pp.
25
31
.10.1016/0895-7177(95)00117-K
27.
Gaubert
,
S.
,
1995
, “
Performance Evaluation of (max,+) Automata
,”
IEEE Trans. Autom. Control
,
40
(
12
), pp.
2014
2025
.10.1109/9.478227
28.
Park
,
K.
, and
Morrison
,
J. R.
,
2010
, “
Control of Wafer Release in Multi Cluster Tools
,” Proceedings of the 2010 8th
IEEE
International Conference on Control and Automation (ICCA 2010),
Xiamen
,
China
, pp.
1481
1487
.10.1109/ICCA.2010.5524415
29.
Cofer
,
D. D.
, and
Garg
,
V. K.
,
1992
, “
A Time Model for the Control of Discrete Event Systems Involving Decisions in the Max-Plus Algebra
,” Proceedings of the 31st
IEEE
Conference on Decision and Control,
Tuczon
,
AZ
, Vol.
43
, pp.
3363
3368
.10.1109/CDC.1992.371014
30.
Brat
,
G. P.
, and
Garg
,
V. K.
,
1998
, “
A Max-Plus Algebra of Signals for the Supervisory Control of Real-Time Discrete Event Systems
,” Proceedings of the 9th Symposium of the International Federation of Automatic Control on Information Control in Manufacturing,
Nancy-Metz
,
France
.
31.
Brat
,
G. P.
, and
Garg
,
V. K.
,
1998
, “
A Max-Plus Algebra for Non-Stationary Periodic Timed Discrete Event Systems
,” Proceedings of the International Workshop on Discrete Event Systems,
Cagliari, Italy
, pp.
237
242
.
32.
Zhao
,
Y.
,
Yan
,
C. B.
,
Zhao
,
Q.
,
Huang
,
N.
,
Li
,
J.
, and
Guan
,
X.
,
2010
, “
Efficient Simulation Method for General Assembly Systems With Material Handling Based on Aggregated Event-Scheduling
,”
IEEE Trans. Autom. Sci. Eng.
,
7
(
4
), pp.
762
775
.10.1109/TASE.2009.2034135
33.
Bozer
,
Y. A.
, and
Yen
,
C.-K.
,
1996
, “
Intelligent Dispatching Rules for Trip-Based Material Handling Systems
,”
J. Manuf. Syst.
,
15
, pp.
226
239
.10.1016/0278-6125(96)84549-3
34.
Govind
,
N.
,
Roeder
,
T. M.
, and
Schruben
,
L. W.
,
2011
, “
A Simulation-Based Closed Queueing Network Approximation of Semiconductor Automated Material Handling Systems
,”
IEEE Trans. Semicond. Manuf.
,
24
, pp.
5
13
.10.1109/TSM.2010.2089659
35.
Johnson
,
M. E.
, and
Brandeau
,
M. L.
,
1996
, “
Stochastic Modeling for Automated Material Handling System Design and Control
,”
Transp. Sci.
,
30
, pp.
330
350
.10.1287/trsc.30.4.330
36.
Li
,
B.
,
Wu
,
J.
,
Carriker
,
W.
, and
Giddings
,
R.
,
2005
, “
Factory Throughput Improvements Through Intelligent Integrated Delivery in Semiconductor Fabrication Facilities
,”
IEEE Trans. Semicond. Manuf.
,
18
, pp.
221
231
.10.1109/TSM.2004.840530
37.
Yan
,
C.
,
Zhao
,
Q.
,
Huang
,
N.
,
Xiao
,
G.
, and
Li
,
J.
,
2010
, “
Formulation and a Simulation Based Algorithm for Line-Side Buffer Assignment Problem in Systems of General Assembly Line With Material Handling
,”
IEEE Trans. Autom. Sci. Eng.
,
7
, pp.
902
920
.10.1109/TASE.2010.2046892
You do not currently have access to this content.