Tadić, B.

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  • Tadić, B. (2)
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Author's Bibliography

Eco-design of fixtures based on life cycle and cost assessment

Vukelić, Đorđe; Agarski, B.; Budak, Igor; Simunović, G.; Buchmeister, B.; Jakovljević, Živana; Tadić, B.

(Daaam International Vienna, Vienna, 2019)

TY  - JOUR
AU  - Vukelić, Đorđe
AU  - Agarski, B.
AU  - Budak, Igor
AU  - Simunović, G.
AU  - Buchmeister, B.
AU  - Jakovljević, Živana
AU  - Tadić, B.
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3098
AB  - The paper presents the new model for eco-design of fixtures based on life cycle and cost assessment. Four fixture types with different mechanical and physical properties as well as different manufacturing costs have been evaluated. The life cycle results show that the environmental impact is closely related to the mass of steel needed for fixture manufacture. On the other hand, the fixture with the largest environmental impact had the smallest total fixture cost and vice versa. The results show that it is possible to implement environmental and cost analysis in fixture design process and to enable comparative analysis of fixture constructions by three standpoints, technical, environmental and economic.
PB  - Daaam International Vienna, Vienna
T2  - International Journal of Simulation Modelling
T1  - Eco-design of fixtures based on life cycle and cost assessment
EP  - 85
IS  - 1
SP  - 72
VL  - 18
DO  - 10.2507/IJSIMM18(1)463
ER  - 
@article{
author = "Vukelić, Đorđe and Agarski, B. and Budak, Igor and Simunović, G. and Buchmeister, B. and Jakovljević, Živana and Tadić, B.",
year = "2019",
abstract = "The paper presents the new model for eco-design of fixtures based on life cycle and cost assessment. Four fixture types with different mechanical and physical properties as well as different manufacturing costs have been evaluated. The life cycle results show that the environmental impact is closely related to the mass of steel needed for fixture manufacture. On the other hand, the fixture with the largest environmental impact had the smallest total fixture cost and vice versa. The results show that it is possible to implement environmental and cost analysis in fixture design process and to enable comparative analysis of fixture constructions by three standpoints, technical, environmental and economic.",
publisher = "Daaam International Vienna, Vienna",
journal = "International Journal of Simulation Modelling",
title = "Eco-design of fixtures based on life cycle and cost assessment",
pages = "85-72",
number = "1",
volume = "18",
doi = "10.2507/IJSIMM18(1)463"
}
Vukelić, Đ., Agarski, B., Budak, I., Simunović, G., Buchmeister, B., Jakovljević, Ž.,& Tadić, B.. (2019). Eco-design of fixtures based on life cycle and cost assessment. in International Journal of Simulation Modelling
Daaam International Vienna, Vienna., 18(1), 72-85.
https://doi.org/10.2507/IJSIMM18(1)463
Vukelić Đ, Agarski B, Budak I, Simunović G, Buchmeister B, Jakovljević Ž, Tadić B. Eco-design of fixtures based on life cycle and cost assessment. in International Journal of Simulation Modelling. 2019;18(1):72-85.
doi:10.2507/IJSIMM18(1)463 .
Vukelić, Đorđe, Agarski, B., Budak, Igor, Simunović, G., Buchmeister, B., Jakovljević, Živana, Tadić, B., "Eco-design of fixtures based on life cycle and cost assessment" in International Journal of Simulation Modelling, 18, no. 1 (2019):72-85,
https://doi.org/10.2507/IJSIMM18(1)463 . .
9
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New integrated approach to the problem of ranking and supplier selection under uncertainties

Tadić, D.; Milanović, Dragan; Misita, Mirjana; Tadić, B.

(Sage Publications Ltd, London, 2011)

TY  - JOUR
AU  - Tadić, D.
AU  - Milanović, Dragan
AU  - Misita, Mirjana
AU  - Tadić, B.
PY  - 2011
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1229
AB  - The problem of ranking and supplier selection in the uncertain environment is part of a purchasing plan and its relationship has a critical effect on the competitive advantage (high-quality products at lower cost with higher customer satisfaction) of each industrial organization. The considered problem can be stated as a multicriteria decision problem which includes both quantitative and qualitative criteria. The criteria present supplier performances which are defined by the purchasing Management Team depending on the size of industrial organizations and on production type. In this paper, the Management Team, using European Union (EU) recommendations, made a choice of criteria for supplier evaluation. The fuzzy rating weights of each pair of the considered criteria and uncertain criteria values are described by linguistic expressions which are modelled by triangular fuzzy numbers. The fuzzy extent approach for the synthetic extent values of the pairwise comparison for handling fuzzy analytic hierarchical process (AHP) is used to calculate the weight vector. The extension of the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) is applied to rank the suppliers. The proposed model is illustrated by an example. It is shown that the developed model is highly suitable as a decision-making tool for reaching decisions about supplier selection.
PB  - Sage Publications Ltd, London
T2  - Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture
T1  - New integrated approach to the problem of ranking and supplier selection under uncertainties
EP  - 1724
IS  - B9
SP  - 1713
VL  - 225
DO  - 10.1243/09544054JEM2105
ER  - 
@article{
author = "Tadić, D. and Milanović, Dragan and Misita, Mirjana and Tadić, B.",
year = "2011",
abstract = "The problem of ranking and supplier selection in the uncertain environment is part of a purchasing plan and its relationship has a critical effect on the competitive advantage (high-quality products at lower cost with higher customer satisfaction) of each industrial organization. The considered problem can be stated as a multicriteria decision problem which includes both quantitative and qualitative criteria. The criteria present supplier performances which are defined by the purchasing Management Team depending on the size of industrial organizations and on production type. In this paper, the Management Team, using European Union (EU) recommendations, made a choice of criteria for supplier evaluation. The fuzzy rating weights of each pair of the considered criteria and uncertain criteria values are described by linguistic expressions which are modelled by triangular fuzzy numbers. The fuzzy extent approach for the synthetic extent values of the pairwise comparison for handling fuzzy analytic hierarchical process (AHP) is used to calculate the weight vector. The extension of the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) is applied to rank the suppliers. The proposed model is illustrated by an example. It is shown that the developed model is highly suitable as a decision-making tool for reaching decisions about supplier selection.",
publisher = "Sage Publications Ltd, London",
journal = "Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture",
title = "New integrated approach to the problem of ranking and supplier selection under uncertainties",
pages = "1724-1713",
number = "B9",
volume = "225",
doi = "10.1243/09544054JEM2105"
}
Tadić, D., Milanović, D., Misita, M.,& Tadić, B.. (2011). New integrated approach to the problem of ranking and supplier selection under uncertainties. in Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture
Sage Publications Ltd, London., 225(B9), 1713-1724.
https://doi.org/10.1243/09544054JEM2105
Tadić D, Milanović D, Misita M, Tadić B. New integrated approach to the problem of ranking and supplier selection under uncertainties. in Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture. 2011;225(B9):1713-1724.
doi:10.1243/09544054JEM2105 .
Tadić, D., Milanović, Dragan, Misita, Mirjana, Tadić, B., "New integrated approach to the problem of ranking and supplier selection under uncertainties" in Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture, 225, no. B9 (2011):1713-1724,
https://doi.org/10.1243/09544054JEM2105 . .
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