| 000 | 02082nam a2200253 a 4500 | ||
|---|---|---|---|
| 001 | vtls000075988 | ||
| 003 | KUKTEM | ||
| 005 | 20251114204551.0 | ||
| 008 | 131112t2013 my da f m 000 0 eng d | ||
| 020 | _aTHE0005032(Local) | ||
| 039 | 9 |
_a201905140923 _bSHAHRILJ _y201311121122 _znabilah |
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| 040 | _aUMP | ||
| 090 | _aTS1120.5 .K36 2013 rs Bc. | ||
| 100 | 0 | _aKamilia Hani Mohd Bashri | |
| 245 | 1 | 0 |
_aStudy on a maximum paper fibre recovery network design / _cKamilia Hani Mohd Bashri |
| 260 |
_aKuantan, Pahang : _bUMP, _c2013 |
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| 300 |
_axiii, 63 p. : _bill. ; _c30 cm. + _e1 CD-ROM |
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| 502 | _aProject paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2013 | ||
| 504 | _aBibliography : p. 56-58 | ||
| 520 | 3 | _aThis work presents the development of a mathematical model for maximum paper fibre recovery network. This can be achieved by implementing the mathematical approach on design and modelling of paper fibre recovery network. The purposes of this study are to design a mathematical model for paper fibre recovery network where it considering a multiple paper characteristics. This work involved few steps, firstly, gathering of limiting data on paper fibre, followed by representation of superstructure, developing of mathematical formulation and next application of model in GAMS software in order to get optimal maximum fibre recovery and lastly, implemented the model in the urban case study. The model develop can simultaneously target and design of paper fibre recovery network. It is less tedious and more effective compared from previous method from previous researches. A significance amount of fresh fibre consumption in paper manufacturing can be reduced at the end of this study. As a result, the percentage reduction of fresh fibre consumptions after application of proposed technique is 32.20% and 26.17% for high quality paper and low quality paper respectively. | |
| 650 | 0 | _aWaste paper | |
| 650 | 0 | _aMathematical models | |
| 999 |
_aVIRTUA40 _c4232 _d4238 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992 | ||