Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Aris A. Syntetos"'
Publikováno v:
European Journal of Operational Research. 306:893-908
Cost effective job scheduling for garage management relies upon assigning repair times into appropriate categories rather than using exact repair time lengths. In this paper, we employ an ordinal logit model with least absolute shrinkage and selectio
Publikováno v:
European Journal of Operational Research. 299:397-419
We are concerned with the interaction and integration between demand forecasting and inventory control, in the context of supply chain operations. The majority of the literature is fragmented. Forecasting research more often than not assumes forecast
Autor:
Aris A. Syntetos, Bahman Rostami-Tabar, Rob J. Hyndman, Tao Hong, Michael D. Porter, Mohammad M. Ali
Forecasting plays a critical role in the development of organisational business strategies. Despite a considerable body of research in the area of forecasting, the focus has largely been on the financial and economic outcomes of the forecasting proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b19b5e9499f9bf8e6d75e7f87e40e925
https://orca.cardiff.ac.uk/id/eprint/140015/1/INTFOR_49101.pdf
https://orca.cardiff.ac.uk/id/eprint/140015/1/INTFOR_49101.pdf
Publikováno v:
European Journal of Operational Research
We study the dynamic behaviour of a hybrid system where manufacturing and remanufacturing operations occur simultaneously to produce the same serviceable inventory for order fulfilment. Such a hybrid system, commonly found in the photocopier and pers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeb574d6edc00f032796e2fd736364ab
http://gala.gre.ac.uk/id/eprint/34288/20/34288_ZHOU_push_or_pull_(OA)_2022.pdf
http://gala.gre.ac.uk/id/eprint/34288/20/34288_ZHOU_push_or_pull_(OA)_2022.pdf
Publikováno v:
European Journal of Operational Research
European Journal of Operational Research, 2021, ⟨10.1016/j.ejor.2021.04.017⟩
European Journal of Operational Research, 2021, ⟨10.1016/j.ejor.2021.04.017⟩
International audience; Lead-time demand forecasting constitutes the backbone of inventory control. Although there has been a considerable amount of research on forecasting the mean lead-time demand, less has centered around forecasting lead-time dem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48a892a7db4ffbb32e6feb1011f673ab
Autor:
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, Jethro Browell, Claudio Carnevale, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Joanne Ellison, Piotr Fiszeder, Philip Hans Franses, David T. Frazier, Michael Gilliland, M. Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li, Konstantia Litsiou, Spyros Makridakis, Gael M. Martin, Andrew B. Martinez, Sheik Meeran, Theodore Modis, Konstantinos Nikolopoulos, Dilek Önkal, Alessia Paccagnini, Anastasios Panagiotelis, Ioannis Panapakidis, Jose M. Pavía, Manuela Pedio, Diego J. Pedregal, Pierre Pinson, Patrícia Ramos, David E. Rapach, J. James Reade, Bahman Rostami-Tabar, Michał Rubaszek, Georgios Sermpinis, Han Lin Shang, Evangelos Spiliotis, Aris A. Syntetos, Priyanga Dilini Talagala, Thiyanga S. Talagala, Len Tashman, Dimitrios Thomakos, Thordis Thorarinsdottir, Ezio Todini, Juan Ramón Trapero Arenas, Xiaoqian Wang, Robert L. Winkler, Alisa Yusupova, Florian Ziel
Publikováno v:
INTERNATIONAL JOURNAL OF FORECASTING
Petropoulos, F, Apiletti, D, Assimakopoulos, V, Babai, M Z, Barrow, D K, Ben Taieb, S, Bergmeir, C, Bessa, R J, Bijak, J, Boylan, J E, Browell, J, Carnevale, C, Castle, J L, Cirillo, P, Clements, M P, Cordeiro, C, Cyrino Oliveira, F L, De Baets, S, Dokumentov, A, Ellison, J, Fiszeder, P, Franses, P H, Frazier, D T, Gilliland, M, Gönül, M S, Goodwin, P, Grossi, L, Grushka-Cockayne, Y, Guidolin, M, Guidolin, M, Gunter, U, Guo, X, Guseo, R, Harvey, N, Hendry, D F, Hollyman, R, Januschowski, T, Jeon, J, Jose, V R R, Kang, Y, Koehler, A B, Kolassa, S, Kourentzes, N, Leva, S, Li, F, Litsiou, K, Makridakis, S, Martin, G M, Martinez, A B, Meeran, S, Modis, T, Nikolopoulos, K, Önkal, D, Paccagnini, A, Panagiotelis, A, Panapakidis, I, Pavía, J M, Pedio, M, Pedregal, D J, Pinson, P, Ramos, P, Rapach, D E, Reade, J J, Rostami-Tabar, B, Rubaszek, M, Sermpinis, G, Shang, H L, Spiliotis, E, Syntetos, A A, Talagala, P D, Talagala, T S, Tashman, L, Thomakos, D, Thorarinsdottir, T, Todini, E, Trapero Arenas, J R, Wang, X, Winkler, R L, Yusupova, A & Ziel, F 2022, ' Forecasting: theory and practice ', International Journal of Forecasting, vol. 38, no. 3, pp. 705-871 . https://doi.org/10.1016/j.ijforecast.2021.11.001
Petropoulos, F, Apiletti, D, Assimakopoulos, V, Babai, M Z, Barrow, D K, Ben Taieb, S, Bergmeir, C, Bessa, R J, Bijak, J, Boylan, J E, Browell, J, Carnevale, C, Castle, J L, Cirillo, P, Clements, M P, Cordeiro, C, Cyrino Oliveira, F L, De Baets, S, Dokumentov, A, Ellison, J, Fiszeder, P, Franses, P H, Frazier, D T, Gilliland, M, Gönül, M S, Goodwin, P, Grossi, L, Grushka-Cockayne, Y, Guidolin, M, Guidolin, M, Gunter, U, Guo, X, Guseo, R, Harvey, N, Hendry, D F, Hollyman, R, Januschowski, T, Jeon, J, Jose, V R R, Kang, Y, Koehler, A B, Kolassa, S, Kourentzes, N, Leva, S, Li, F, Litsiou, K, Makridakis, S, Martin, G M, Martinez, A B, Meeran, S, Modis, T, Nikolopoulos, K, Önkal, D, Paccagnini, A, Panagiotelis, A, Panapakidis, I, Pavía, J M, Pedio, M, Pedregal, D J, Pinson, P, Ramos, P, Rapach, D E, Reade, J J, Rostami-Tabar, B, Rubaszek, M, Sermpinis, G, Shang, H L, Spiliotis, E, Syntetos, A A, Talagala, P D, Talagala, T S, Tashman, L, Thomakos, D, Thorarinsdottir, T, Todini, E, Trapero Arenas, J R, Wang, X, Winkler, R L, Yusupova, A & Ziel, F 2022, ' Forecasting: theory and practice ', International Journal of Forecasting, vol. 38, no. 3, pp. 705-871 . https://doi.org/10.1016/j.ijforecast.2021.11.001
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2416aa12fedc731d276566fae7787cf3
Publikováno v:
Omega-The International Journal of Management Science
Omega-The International Journal of Management Science, 2021, ⟨10.1016/j.omega.2021.102481⟩
Omega, 104:102481. Elsevier
Omega: The International Journal of Management Science, 104:102481. PERGAMON-ELSEVIER SCIENCE LTD
Omega-The International Journal of Management Science, 2021, ⟨10.1016/j.omega.2021.102481⟩
Omega, 104:102481. Elsevier
Omega: The International Journal of Management Science, 104:102481. PERGAMON-ELSEVIER SCIENCE LTD
International audience; Most companies store demand data periodically and make periodic demand forecasts, whereas many de- mand processes in inventory control need parameter estimates at the individual customer level. Guid- ance on estimating the par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4b7d219ffb9aaf40a4d44ce5169c6db
https://hal.archives-ouvertes.fr/hal-03415263
https://hal.archives-ouvertes.fr/hal-03415263
Publikováno v:
IMA Journal of Management Mathematics. 31:1-3
Publikováno v:
Journal of Operations Management, 65(5), 447-467. John Wiley & Sons Inc.
Remanufacturing operations rely upon accurate forecasts of demand and returned items. Return timing and quantity forecasts help estimate net demand (demand minus returns) requirements. Based on a unique data set of serialized transactional issues and
Publikováno v:
Decision Sciences
Decision Sciences, 2018
Decision Sciences, Wiley, 2019, ⟨10.1111/deci.12367⟩
Decision Sciences, 2018
Decision Sciences, Wiley, 2019, ⟨10.1111/deci.12367⟩
International audience; Practical experience and scientific research show that there is scope for improving the performance of inventory control systems by taking into account the discrepancies between the actual physical inventory levels and those r