FERBAR TRATAR, Liljana . The Comprehensive Energy Resource Management for Essential Reduction of the Total Cost. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 62, n.11, p. 685-694, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/the-comprehensive-energy-resource-management-for-essential-reduction-of-the-total-cost/>. Date accessed: 19 apr. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2016.3994.
Ferbar Tratar, L. (2016). The Comprehensive Energy Resource Management for Essential Reduction of the Total Cost. Strojniški vestnik - Journal of Mechanical Engineering, 62(11), 685-694. doi:http://dx.doi.org/10.5545/sv-jme.2016.3994
@article{sv-jmesv-jme.2016.3994,
author = {Liljana Ferbar Tratar},
title = {The Comprehensive Energy Resource Management for Essential Reduction of the Total Cost},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {62},
number = {11},
year = {2016},
keywords = {energy resource management; supply chain; forecasting; inventory; M3-competition; total cost},
abstract = {The comprehensive energy resource management presents kind of global optimisation, which is much more cost-effective than separate treatment of energy-demand forecasting and energy-inventory data. In this paper, two-stage supply chain is presented, where distributor of derivate energy products (e.g. hot water, steam, electricity) shares information with its supplier of primary energy sources (e.g. coal, crude oil, gas). Different methods of energy-demand forecasting can be used, although exponential smoothing methods are most often used in practice because they are simple, fast and inexpensive. In this study we analysed a modified Holt-Winters (HW) method and we describe a method for simultaneous optimisation of forecasting method and a stock control policy. We compared the proposed joint optimisation of total cost with the optimisation, based solely on forecasting data. The total cost presents the joint cost of distributor and supplier. The data consisted of 756 quarterly real series from M3-Competition and 300 simulated demand patterns. We have shown that the total cost can be reduced dramatically if we use the joint optimisation instead of separate treatment of forecasting method and inventory model. We obtained the best result with the modified HW method; the essential reduction of total cost was reached in case of simulated data as well as in case of real data.},
issn = {0039-2480}, pages = {685-694}, doi = {10.5545/sv-jme.2016.3994},
url = {https://www.sv-jme.eu/article/the-comprehensive-energy-resource-management-for-essential-reduction-of-the-total-cost/}
}
Ferbar Tratar, L. 2016 June 62. The Comprehensive Energy Resource Management for Essential Reduction of the Total Cost. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 62:11
%A Ferbar Tratar, Liljana %D 2016 %T The Comprehensive Energy Resource Management for Essential Reduction of the Total Cost %B 2016 %9 energy resource management; supply chain; forecasting; inventory; M3-competition; total cost %! The Comprehensive Energy Resource Management for Essential Reduction of the Total Cost %K energy resource management; supply chain; forecasting; inventory; M3-competition; total cost %X The comprehensive energy resource management presents kind of global optimisation, which is much more cost-effective than separate treatment of energy-demand forecasting and energy-inventory data. In this paper, two-stage supply chain is presented, where distributor of derivate energy products (e.g. hot water, steam, electricity) shares information with its supplier of primary energy sources (e.g. coal, crude oil, gas). Different methods of energy-demand forecasting can be used, although exponential smoothing methods are most often used in practice because they are simple, fast and inexpensive. In this study we analysed a modified Holt-Winters (HW) method and we describe a method for simultaneous optimisation of forecasting method and a stock control policy. We compared the proposed joint optimisation of total cost with the optimisation, based solely on forecasting data. The total cost presents the joint cost of distributor and supplier. The data consisted of 756 quarterly real series from M3-Competition and 300 simulated demand patterns. We have shown that the total cost can be reduced dramatically if we use the joint optimisation instead of separate treatment of forecasting method and inventory model. We obtained the best result with the modified HW method; the essential reduction of total cost was reached in case of simulated data as well as in case of real data. %U https://www.sv-jme.eu/article/the-comprehensive-energy-resource-management-for-essential-reduction-of-the-total-cost/ %0 Journal Article %R 10.5545/sv-jme.2016.3994 %& 685 %P 10 %J Strojniški vestnik - Journal of Mechanical Engineering %V 62 %N 11 %@ 0039-2480 %8 2018-06-27 %7 2018-06-27
Ferbar Tratar, Liljana. "The Comprehensive Energy Resource Management for Essential Reduction of the Total Cost." Strojniški vestnik - Journal of Mechanical Engineering [Online], 62.11 (2016): 685-694. Web. 19 Apr. 2024
TY - JOUR AU - Ferbar Tratar, Liljana PY - 2016 TI - The Comprehensive Energy Resource Management for Essential Reduction of the Total Cost JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2016.3994 KW - energy resource management; supply chain; forecasting; inventory; M3-competition; total cost N2 - The comprehensive energy resource management presents kind of global optimisation, which is much more cost-effective than separate treatment of energy-demand forecasting and energy-inventory data. In this paper, two-stage supply chain is presented, where distributor of derivate energy products (e.g. hot water, steam, electricity) shares information with its supplier of primary energy sources (e.g. coal, crude oil, gas). Different methods of energy-demand forecasting can be used, although exponential smoothing methods are most often used in practice because they are simple, fast and inexpensive. In this study we analysed a modified Holt-Winters (HW) method and we describe a method for simultaneous optimisation of forecasting method and a stock control policy. We compared the proposed joint optimisation of total cost with the optimisation, based solely on forecasting data. The total cost presents the joint cost of distributor and supplier. The data consisted of 756 quarterly real series from M3-Competition and 300 simulated demand patterns. We have shown that the total cost can be reduced dramatically if we use the joint optimisation instead of separate treatment of forecasting method and inventory model. We obtained the best result with the modified HW method; the essential reduction of total cost was reached in case of simulated data as well as in case of real data. UR - https://www.sv-jme.eu/article/the-comprehensive-energy-resource-management-for-essential-reduction-of-the-total-cost/
@article{{sv-jme}{sv-jme.2016.3994},
author = {Ferbar Tratar, L.},
title = {The Comprehensive Energy Resource Management for Essential Reduction of the Total Cost},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {62},
number = {11},
year = {2016},
doi = {10.5545/sv-jme.2016.3994},
url = {https://www.sv-jme.eu/article/the-comprehensive-energy-resource-management-for-essential-reduction-of-the-total-cost/}
}
TY - JOUR AU - Ferbar Tratar, Liljana PY - 2018/06/27 TI - The Comprehensive Energy Resource Management for Essential Reduction of the Total Cost JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 62, No 11 (2016): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2016.3994 KW - energy resource management, supply chain, forecasting, inventory, M3-competition, total cost N2 - The comprehensive energy resource management presents kind of global optimisation, which is much more cost-effective than separate treatment of energy-demand forecasting and energy-inventory data. In this paper, two-stage supply chain is presented, where distributor of derivate energy products (e.g. hot water, steam, electricity) shares information with its supplier of primary energy sources (e.g. coal, crude oil, gas). Different methods of energy-demand forecasting can be used, although exponential smoothing methods are most often used in practice because they are simple, fast and inexpensive. In this study we analysed a modified Holt-Winters (HW) method and we describe a method for simultaneous optimisation of forecasting method and a stock control policy. We compared the proposed joint optimisation of total cost with the optimisation, based solely on forecasting data. The total cost presents the joint cost of distributor and supplier. The data consisted of 756 quarterly real series from M3-Competition and 300 simulated demand patterns. We have shown that the total cost can be reduced dramatically if we use the joint optimisation instead of separate treatment of forecasting method and inventory model. We obtained the best result with the modified HW method; the essential reduction of total cost was reached in case of simulated data as well as in case of real data. UR - https://www.sv-jme.eu/article/the-comprehensive-energy-resource-management-for-essential-reduction-of-the-total-cost/
Ferbar Tratar, Liljana"The Comprehensive Energy Resource Management for Essential Reduction of the Total Cost" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 62 Number 11 (27 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 62(2016)11, 685-694
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
The comprehensive energy resource management presents kind of global optimisation, which is much more cost-effective than separate treatment of energy-demand forecasting and energy-inventory data. In this paper, two-stage supply chain is presented, where distributor of derivate energy products (e.g. hot water, steam, electricity) shares information with its supplier of primary energy sources (e.g. coal, crude oil, gas). Different methods of energy-demand forecasting can be used, although exponential smoothing methods are most often used in practice because they are simple, fast and inexpensive. In this study we analysed a modified Holt-Winters (HW) method and we describe a method for simultaneous optimisation of forecasting method and a stock control policy. We compared the proposed joint optimisation of total cost with the optimisation, based solely on forecasting data. The total cost presents the joint cost of distributor and supplier. The data consisted of 756 quarterly real series from M3-Competition and 300 simulated demand patterns. We have shown that the total cost can be reduced dramatically if we use the joint optimisation instead of separate treatment of forecasting method and inventory model. We obtained the best result with the modified HW method; the essential reduction of total cost was reached in case of simulated data as well as in case of real data.