2011
3
2
2
33
A REVIEW ON SEQUENCING APPROACHES FOR MIXEDMODEL JUSTINTIME PRODUCTION SYSTEM
2
2
Research interests have been focused on the concept of penalizing jobs both for being early and for being tardy because not only of modern competitive industrial challenges of providing a variety of products at a very low cost by smoothing productions but also of its increasing and exciting computer applications. Here, sequencing approaches of the mixed model justintime production systems is reviewed. In this note, realizing a need of critical review, a survey on the elegant mathematical models, methods and complexity of the mixed model justintime sequencing problem with an insight into the existing analytical literature is given. The established research results together with open problems and possible extensions are presented.
1

266
290


Tanka
Dhamala
Central Department of Mathematics, Tribhuvan University, Kathmandu, Nepal
Central Department of Mathematics, Tribhuvan
Nepal
dhamala@yahoo.com


Shree
Khadka
Central Department of Mathematics, Tribhuvan University, Kathmandu, Nepal
Central Department of Mathematics, Tribhuvan
Nepal
Mixedmodel
justintime
nonlinear integer programming
CHEBYSHEV ACCELERATION TECHNIQUE FOR SOLVING FUZZY LINEAR SYSTEM
2
2
In this paper, Chebyshev acceleration technique is used to solve the fuzzy linear system (FLS). This method is discussed in details and followed by summary of some other acceleration techniques. Moreover, we show that in some situations that the methods such as Jacobi, GaussSidel, SOR and conjugate gradient is divergent, our proposed method is applicable and the acquired results are illustrated by some numerical examples.
1

291
301


S.H.
Nasseri
Department of Mathematics, University of Mazandaran, Babolsar, Iran.
Department of Mathematics, University of
Iran
nasseri@umz.ac.ir


H.
Attari
Department of Mathematics, University of Mazandaran, Babolsar, Iran.
Department of Mathematics, University of
Iran
ACCELERATION TECHNIQUES
CHEBYSHEV ACCELERATION TECHNIQUE
Fuzzy system of linear equations
ITERATIVE METHODS
THE FULL AVERAGING OF FUZZY DIFFERENTIAL INCLUSIONS
2
2
In this paper the substantiation of the method of full averaging for fuzzy differential inclusions is considered. These results generalize the results of [17, 20] for differential inclusions with Hukuhara derivative and of [18] for fuzzy differential equations.
1

307
322


Natalia
Skripnik
Odessa National University named after I.I.Mechnikov, Odessa, Ukraine
Odessa National University named after I.I.Mechnik
Ukraine
talie@ukr.net
FUZZY DIFFERENTIAL INCLUSIONS
AVERAGING