[
Abolghasemi, M., Beh, E., Tarr, G., Gerlach, R., 2020. Demand forecasting in supply chain: the impact of demand volatility in the presence of promotion. Computers & Industrial Engineering, 142, 106308.
]Search in Google Scholar
[
Alam, K.M., El Saddik, A., 2017. C2PS: a Digital Twin architecture reference model for the cloud-based cyber-physical systems. IEEE Access: Practical Innovations, Open Solutions, 5, 2050-2062.
]Search in Google Scholar
[
Allen, A., Siefkas, A., Pellegrini, E., Burdick, H., Barnes, G., Calvert, J., Mao, Q., Das, R., 2021. A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients. Applied Sciences, 11, 5576
]Search in Google Scholar
[
Antonowicz, M., 2016. Wyzwania logistyczne firm – elastyczne łańcuchy dostaw. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach, 255, 215-229.
]Search in Google Scholar
[
Arshinder, K., Kanda, A., Deshmukh, S.G., 2011. A review supply chain coordination: coordination mechanisms, managing uncertainty and research directions, Supply Chain Coordination under Uncertainty. SpringerVerlag Berlin Heidelberg, 39-82.
]Search in Google Scholar
[
Averkyna, M.F., Shulyk, Y.V. 2018. Financial and Logistic coordination in the context of providing sustainable urban development in terms of decentralization in Ukraine, Financial and Credit Activity: Problems of Theory and Practice, 3, 82-90.
]Search in Google Scholar
[
Banaszczyk, P., 2002. Podstawy organizacji i zarządzania, Wyższa Szkoła Handlu i rachunkowości, Poznań.
]Search in Google Scholar
[
Barrow, D., Kourentzes, N., Sandberg, R., Niklewski, J., 2020. Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning. Expert Systems with Applications, 160, 113637
]Search in Google Scholar
[
Barth, M., Godemann, J., Rieckmann, M., Stoltenberg, U., 2007. Develiping key competencies for sustainable development in higher education. International Journal of Sustainability in Higher Education, 8, 416-430.
]Search in Google Scholar
[
Beikverdi, A., Song, J., 2015. Trend of centralization in Bitcoin’s distributed network, IEEE/ACIS 16th International Conference on Software Engineering. Artificial Inteligence, Networking and Parallel/Distributed Computing.
]Search in Google Scholar
[
Bendkowski, J., Kramarz, M., 2006. Logistyka stosowana. Metody, techniki, analizy. Wyd. Politechniki Śląskiej, Gliwice.
]Search in Google Scholar
[
Bergenhenegouwen, G.J., 1996. Competence development – a challenge for HRM professionals: core competences of organizations as guidelines for the development of employees. Journal of European Industrial Training 20, 29-35.
]Search in Google Scholar
[
Brito, B., 2016. Centralization of supply chain management operations: the case of Unilever Ultralogistik. Disertation, Porto.
]Search in Google Scholar
[
Brodzicki, T., Szultka, S. 2002. Koncepcja klastrów a konkurencyjność przedsiębiorstw. Organizacja i Kierowanie, 4.
]Search in Google Scholar
[
Cai, X., Chen, J., Xiao, Y., Xu, X., Yu, G., 2013. Fresh-product supply chain management with logistics outsourcing. Omega, 41, 752-765.
]Search in Google Scholar
[
Chen, I-F., Lu, Ch-J., 2021. Demand forecasting for multichannel fashion retailers by integrating clustering and machine learning algorithms. Processes, 9, 1578.
]Search in Google Scholar
[
Chen, S-C., Kuo, S-Y., Chang, K-W., Wang, Y-T., 2012. Improving the forecasting accuracy of air passenger and air cargo demand: the application of back-propagation neural networks. Transportation Planning and Technology, 35, 373-392
]Search in Google Scholar
[
Christopher, M., Ryals, L.J., 2014. The Supply Chain Becomes the Demand Chain. Journal of Business Logistics, 35, 29-35.
]Search in Google Scholar
[
Cichosz, M., 2018. Otwarte innowacje: technologiczne partnerstwa w branży usług logistycznych. Gospodarka Materiałowa i Logistyka, 12-22.
]Search in Google Scholar
[
Czakon, W., 2013. Uwarunkowania i mechanizmy koordynacji sieci. Studia Ekonomiczne, 141, 62-71.
]Search in Google Scholar
[
Danese, P., Kalchschmidt, M., 2011. The role of the forecasting process in improving forecast accuracy and operational performance. Int. J. Production Economics, 131, 204-214
]Search in Google Scholar
[
Demand Forecasting Based on a New Mathematical Hybrid Method. Information, 8, 33.
]Search in Google Scholar
[
Dixon, M., 2021. Industrial forecasting with exponentially smoothed recurrent neural network. Technometrics,
]Search in Google Scholar
[
Dmuchowski, R., Szmitka, S., 2016. Znaczenie klastrów w obniżaniu kosztów logistycznych. Metodyka kalkulacji korzyści, Zarządzanie i Finanse. Journal of Management and Finance, 14, 296-309
]Search in Google Scholar
[
Dolinskaya, I.S., Shi, Z., Smilowitz, K.R., Ross, M., 2011. Decentralized approaches to logistics coordination in humanitarian relief. Proceedings of the 2011 Industrial Engineering Research Conference.
]Search in Google Scholar
[
Grabowska, J., 2012. Outsourcing usług logistycznych. Zeszyty Naukowe Politechniki Śląskiej z.60, 83-96.
]Search in Google Scholar
[
Grzelak, M., Borucka, M., Buczyński, Z., 2019. Forecasting the demand for transport services on the example of a selected logistic operator. Archives of Transport, 52, 81-93.
]Search in Google Scholar
[
Gumiński, A., Dohn, K., 2017. LMFEA method for the identification of key determinants to improve the efficacy of a logistics operator in transport processes. Carpathian Logistics Congress, 185-196.
]Search in Google Scholar
[
Guo, S., Choi, T.-M., Shen, B., Jung, S., 2019. Inventory management in mass customization operations: a review. IEEE Transactions on Engineering Management, 66, 412-428
]Search in Google Scholar
[
Gupta, A., Singh, R., Suri, P.K., 2018. Sustainable service quality management by logistics service providers: an Indian perspective. Global Business Review, 19, 130-150.
]Search in Google Scholar
[
Intagliata, J., Ulrich, D., Smallwood, N., 2000. Leveraging leadership competencies to produce leadership brand: creating distinctiveness by focusing on strategy and results. Human Resources Planning 23.4, 12-23.
]Search in Google Scholar
[
Javidan, M., 1998. Core competence: what does it mean in practice? Long Range Planning 31, 60-71.
]Search in Google Scholar
[
Joshi, A.W., Campbell, A.J., 2003. Effect of Environmental Dynamism on Relational Governance in Manufacturer-Supplier Relationships: A Contingent Framework and an Empirical Test. Academy of Marketing Science Journal, 31, 176-188.
]Search in Google Scholar
[
Kangilaski, T., 2006. Maintenance work coordination in electricity distribution. IFAC Proceedings Volumes 39, 33-38.
]Search in Google Scholar
[
Kauf, S., 2005. Strategiczno-planistyczne aspekty integracji marketingu i logistyki. Wydawnictwo Insytut Śląski, Opole.
]Search in Google Scholar
[
Kawa, A., 2011. Konfigurowanie łańcucha dostaw. Teoria, instrumenty i technologie. Wyd. Uniwersytetu Ekonomicznego w Poznaniu, Poznań.
]Search in Google Scholar
[
Kim, M., Choi, W., Jeon, Y., Liu, J., 2019. A hybrid neural network model for power demand forecasting. Energies, 12, 931
]Search in Google Scholar
[
Kmiecik, M., 2021a. Concept of distribution network configuration in the conditions of centralised forecasting. Organization & Management Scientific Quarterly, No. 1(53), 29-40.
]Search in Google Scholar
[
Kmiecik, M., 2021b. Implementation of forecasting tool in the logistics company - case study. Scientific Papers of Silesian University of Technology, No. 152, 119-126.
]Search in Google Scholar
[
Kmiecik, M., 2022. Conception of logistics coordination in distribution networks. Logistics Research, 15, 1-16.
]Search in Google Scholar
[
Kmiecik, M., Hawre, Z., 2022. Supporting of manufacturing system based on demand forecasting tool. LogForum, 18, 33-48.
]Search in Google Scholar
[
Kramarz, M., Kmiecik, M., 2022. Quality of Forecasts as the Factor Determining the Coordination of Logistics Processes by Logistic Operator. Sustainability, 14, 1013
]Search in Google Scholar
[
Kramarz, M., Kramarz, W., 2013. Wspomaganie procesu wyboru operatora logistycznego w hutniczym centrum serwisowym. Logistyka, 6, 625-628.
]Search in Google Scholar
[
Krawczyk, S., 2019. Podstawy logistyki cz.3 Logistyka w dystrybucji produktów. Oficyna Wydawnicza UZ, Zielona Góra.
]Search in Google Scholar
[
Krejner-Nowecka, A., 2002. Jakość partnerstwa a sukces outsourcingu w przedsiębiorstwie. [w:] Przedsiębiorstwo partnerskie, red. M. Romanowska, M. Trocki, Difin, Warszawa, 125.
]Search in Google Scholar
[
Lai, K.K., Yu, L., Wang, S., Huang, W., 2006. Hybridizing exponential smoothing and neural network for financial time series predication. In International Conference on Computational Science. Springer, Berlin, Heidelberg, 493-500.
]Search in Google Scholar
[
Li, X., Wang, Q., 2007. Coordination mechanism of supply chain systems. European Journal of Operational Research 179, 1-16.
]Search in Google Scholar
[
Liang, J., Liang, Y., 2017. Analysis and Modeling for China’s Electricity
]Search in Google Scholar
[
Lu, X., Hu, Z. 2018. Research on Russian cross-border e-commerce logistics platform based on block chain technology. International Conference on Humanities and Advanced Education Technology, 435-438.
]Search in Google Scholar
[
Ma, S., Fildes, R., Huang, T., 2016. Demand forecasting with high dimensional data: the case of SKU retail sales forecasting with intra- and inter-category promotional information. European Journal of Operational Research, 249, 245-257.
]Search in Google Scholar
[
Maia, A.L.S., de Carvalho, F.A.T., 2010. Holt’s exponential smoothing and neural network models for forecasting interval-valued time series. International Journal of Forecasting, 27, 740-759.
]Search in Google Scholar
[
Makovetskaya, E., 2019. Logistics tool for optimization of the regional distribution center. E3S Web of Conferences, 110, 02111.
]Search in Google Scholar
[
Marasco, A., 2008. Third-party logistics: a literature review. ScienceDirect Production Economics 113, 127-147.
]Search in Google Scholar
[
Matejun, M., 2009. Outsourcing a koncentracja na kluczowych obszarach działalności firm sektora MŚP [w:] J. Skalik (red.), Zmiana warunkiem sukcesu. Rozwój i zmiany w małych i średnich przedsiębiorstwach, Prace Naukowe UE we Wrocławiu nr 49, 484-492.
]Search in Google Scholar
[
Moyaux, T., Chaib-draa, B., D’Amours, S., 2003. Multi-agent coordination based on tokens: reducion of the bullwhip effect in a forest supply chain. AAMAS’03 Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagents Systems, Australia, 670-677.
]Search in Google Scholar
[
Murphy, P.R., Wood, D.F., 2011. Nowoczesna logistyka. Wyd. Helion, Gliwice.
]Search in Google Scholar
[
neural networks for time series forecasting. International Journal of Forecasting, 36, 75-85.
]Search in Google Scholar
[
Ocicka, B., 2017. Strategie zakupowe przedsiębiorstw w warunkach niestabilności. Handel Wewnętrzny 3, 330-340.
]Search in Google Scholar
[
Olejnik, T., 1966. Ekonomika, planowanie i organizacja przedsiębiorstw. Wydawnictwo Uczelniane Politechniki Poznańskiej, Poznań.
]Search in Google Scholar
[
Penc, J., 2002. Przedsiębiorstwo w burzliwym otoczeniu część 1. Oficyna Wydawnicza OPO, Bydgoszcz.
]Search in Google Scholar
[
Perera, H.N., Hurley, J., Fahimnia, B., Reisi, M., 2019. The human factor in supply chain forecasting: a systematic review. European Journal of Operational Research, 274, 574-600.
]Search in Google Scholar
[
Prahalad, C.K., Hamel, G., 2006. The core competence of the corporation [w:] D. Hahn, B. Taylor (red.), Strategische Unternehmungsplanung — Strategische Unternehmungsführung. Springer, Berlin, Heidelberg.,
]Search in Google Scholar
[
Przybyła, M., 1996. Struktury organizacyjne przedsiębiorstw [in:] R. Krupski, M. Przybyła (red.), Struktury organizacyjne przedsiębiorstw i ich ugrupowań, Zakład Narodowy im. Ossolińskich, Wrocław-Warszawa-Kraków, 9-50.
]Search in Google Scholar
[
Qi, Y., Tang, M., Zhang, M., 2014. Mass customization in flat organization: the mediating role of supply chain planning and corporation coordination. Journal of Applied Research and Technology 12, 171-181.
]Search in Google Scholar
[
Schmitt, A.J., Sun, S.A., Snyder, L.V., Shen, Z.M., 2015. Centralization versus decentralization: risk pooling. risk diversification and supply chain disruptions, Omega 52, 201-212.
]Search in Google Scholar
[
Shen, B., Xu, X., Guo, S., 2019. The impacts of logistics services on short life cycle products in a global supply chain. Transportation Research Part E, 131, 153-167.
]Search in Google Scholar
[
Simoes, J., Cartaxo, J., Loureiro, R., Santos, B., Silva, S., 2018. Advantages and disadvantages of warehouse centralization – hospital case. Organizational Economics & Management, DOI: 10.20944/pre-prints201808.0422.v1.
]Open DOISearch in Google Scholar
[
Skowron-Grabowska, B., 2011. Wpływ funkcjonowania operatorów logistycznych na rozwój rynku usług w Polsce. Zeszyty Naukowe Uniwersytetu Szczecińskiego nr 685, 225-234.
]Search in Google Scholar
[
Ślusarczyk, B., 2018. Costs aspects of creating 3PL logistic operators’ offers. Scientific papers of Silesian University of Technology 116, 163-176.
]Search in Google Scholar
[
Smoliński, S., 1974. Pojęcie specjalizacji produkcji przemysłowej. Ruch Prawniczy, Ekonomiczny i Socjologiczny 36, 235-242.
]Search in Google Scholar
[
Smyl, S., 2020. A hybrid method of exponential smoothing and recurrent
]Search in Google Scholar
[
Snyder, A.V., Ebeling, H.W.Jr., 1992. Targeting a company’s real core competencies. Journal of Business Strategy 13, 26-33.
]Search in Google Scholar
[
Stepura, S.V., 2021. Logistic coordination of participants in the logistics process. POLIT. Challenges of science today.
]Search in Google Scholar
[
Stevic, Z., Mulalic, E., Bozickovic, Z., Veskovic, S., Dalic, I., 2018. Economic analysis of the project of warehouse centralization in the paper production company. Serbian Journal of Management 13, 47-62.
]Search in Google Scholar
[
Szozda, N., Świerczek, A. 2016. Zarządzanie popytem na produkty w łańcuchu dostaw. PWE, Warszawa.
]Search in Google Scholar
[
Tan, H., Du, M., Jiang, M., Chu, Z., 2019. The Combined Distribution and Assignment Model: A New Solution Algorithm and Its Applications in Travel Demand Forecasting for Modern Urban Transportation. Sustainability, 11, 2167.
]Search in Google Scholar
[
Tatham, P., Spens, K., 2016. Cracking the humanitarian logistic coordination challenge: lessons from the urban search and rescue community. Disasters, 40, 246-261.
]Search in Google Scholar
[
Thakkar, J., Deshmukh, S.G., Gupta, A.D., Shankar, R., 2005. Selecion if third-party logistics (3PL): a hybrid approach using interpretiv structural modeling (ISM) and analytic network process (ANP). Supply Chain Forum an International Journal 6, 32-46.
]Search in Google Scholar
[
Thakkar, J., Deshmukh, S.G., Gupta, A.D., Shankar, R., 2005. Selecion if third-party logistics (3PL): a hybrid approach using interpretiv structural modeling (ISM) and analytic network process (ANP). Supply Chain Forum an International Journal 6, 32-46.
]Search in Google Scholar
[
Tobolska, A., 2006. Przestrzenne aspekty nowej organizacji i funkcjonowania przedsiębiorstw przemysłowych. Przegląd Geograficzny nr 78, 491-513.
]Search in Google Scholar
[
Wang, Ch-N., Day, J-D., Nguyen, T-K-L., 2018. Applying EBM and Grey forecasting to assess efficiency of third-party logistics providers. Journal of Advanced Transportation, 2108, 44575.
]Search in Google Scholar
[
Witkowski, J., Kiba-Janik, M., 2012. Rozwój europejskich centrów i klastrów logistycznych na podstawie doświdczeń hiszpańskich. Uniwersytet Szczeciński. Zeszyty Naukowe nr 719, 397-414.
]Search in Google Scholar
[
Xie, X., Parlikad, A.K., Puri, R.S., 2019. A Neural Ordinary Differential Equations Based Approach for Demand Forecasting within Power Grid Digital Twins. IEEE International Conference
]Search in Google Scholar
[
Yang, H-F., Dillon, T.S., 2018. Optimazed configuration of exponential smoothing and extreme learning machine for traffic flow forecasting. IEEE Transactions and Industrial Informatics
]Search in Google Scholar
[
Yue, X., Liu, J. 2006. Demand forecast sharing in a dual-channel supply chain. European Journal of Operational Research, 174, 646-667.
]Search in Google Scholar
[
Zahin, S., Latif, H.H., Paul, S.K., Azeem, A., 2013. A comparative analysis of power demand forecasting with artificial intelligence and traditional approach. Int. J. Business Information Systems, 13, 359-380.
]Search in Google Scholar
[
Zelkowski, J., Gontarczyk, M., Kijek, M., Owczarek, P., 2018. Analiza i ocena operatorów logistycznych w Polsce. Prace Naukowe Politechniki Warszawskiej – Transport, 120, 459-470.
]Search in Google Scholar
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