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Integrated sustainable freight transport system for city multi-floor manufacturing clusters

REFEENCES Anschutz, J., IJgosse, J. and Scheinberg, A. (2004). Putting Integrated Sustainable Waste Management into Practice Using the ISWM Assessment Methodology: ISWM Methodology as Applied in the UWEP Plus Programme (2001-2003), WASTE: Gouda, The Netherlands. Azapagic, A. and Perdan, S. (2000). Indicators of sustainable development for industry: a general framework, Process Saf Environ Prot, 78(4), pp. 243-261. Christopher, M. (2011). Logistics & Supply Chain Management: creating value-adding networks, Pearson Education Limited, pp. 9

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Product analysis using value stream mapping

of investment attractiveness assessment of degraded post-mining areas. In: 15th International Multidisciplinary Scientific GeoConference SGEM 2015. Informatics, geoinformatics and remote sensing, 18-24, June, 2015, Albena, Bulgaria. Conference proceedings. Book 2. Vol.1. Sofia: STEF92 Technology. Molenda, M., Biernot, A., Cierna, H. (2018). Example of using lean manufacturing tools in assessing and improving the process of car arm rest production. 05-08 September 2018, Zawiercie, Poland. Conference proceedings,1(1)., [B.m.]: Wydaw. PANOVA, Molenda, M

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Barriers of implementation of pro-environmental activities in supply chains

. Procedia Engineering 97(2014), pp. 2157-2166. Balon, V., Sharma, A.K. and Barua, M.K. (2016). Assessment of barriers in green supply chain management using ISM: A case study of the automobile industry in India. Global Business Review, 17(1), pp.116-135. Chu, S., Yang, H., Lee, M. and Park, S. (2017). The Impact of Institutional Pressures on Green Supply Chain Management and Firm Performance. Top Management Roles and Social Capital, Sustainability, 9(5), pp. 1-21. Dubey, R., Gunasekaran, A. and Papadopoulos, T. (2017). Green supply chain management

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Engineer 4.0 in a metallurgical enterprise

]. Available at: https://social.hays.com/2018/11/12/industry-4-0-job/ Durlik, I. (2007). Inżynieria zarządzania, cz. I. Warszawa: Palcet. Gajdzik, B. (2008). Concentration on knowledge and change management at the metallurgical company. Metalurgija, 47(2), pp. 142-144. Gajdzik, B. (2013). Diagnosis of employee engagement in metallurgical enterprise. Metalurgija, 1(52), pp. 139-142. Gajdzik, B. (2018). Przemysł 4.0 wyzwaniem dla przedsiębiorstw sektora. Hutnik – Wiadomości Hutnicze, 85(6), pp. 186-190. Gajdzik, B. (2019). Longtime assessment of

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The Area of Supply Chain Quality Management – Third Party Logistics in Case Study

REFERENCES Biesok, G., 2013. Zarządzanie jakością w logistyce , Wydawnictwo Naukowe Akademii Techniczno-Humanistycznej w Bielsku-Białej, Bielsko-Biała. Czajkowska, A., Stasiak-Betlejewska, R., 2015. Quality Management Tools Applying in the Strategy of Logistics Services Quality Improvement , Serbian Journal of Management, 10(2), 225-234. Detyna, B., 2015. Zarządzanie jakością logistyce , Wydawnictwo Państwowej Wyższej Szkoły Zawodowej im. Angelusa Silesiusa, Wałbrzych 2015. Frąś, J., 2013. Kompleksowe zarządzanie jakością w logistyce

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The Quality of the Decision-Making Process in Road Transport

REFERENCES Ballou, R.H., 2007. Business logistics/supply chain management , 5 Ed, Pearson Education India. Campos, R.S., Simon, A.T., Campos Martins, F., 2019. Assessing the impacts of road freight transport on sustainability: A case study in the sugar-energy sector , Journal of Cleaner Production, Vol. 220, 995-1004, doi.org/10.1016/j.jclepro.2019.02.171 Davern, M.J., Mantena, R., Stohr, E.A., 2008. Diagnosing decision quality, Decision Support Systems, Vol. 45, Issue 1, 123-139, doi.org/10.1016/j.dss.2007.12.012 Główny Urząd

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Concept of Reconfigurability in Interoperation Manufacturing Buffers for Smart Factory

-Adria-Association-for-Automation-and-Manufacturing, Sarajevo, 129-130. Gašová, M., Gašo, M., Štefánik, A., 2017. Advanced industrial tools of ergonomics based on Industry 4.0 concept. Procedia Engineering, 192, 219-224. ISSN 1877-7058. https://doi.org/10.1016/j.proeng.2017.06.038 Gregor, T., Krajčovič, M., Wiecek., D. 2017. Smart Connected Logistics . Procedia Engineering, 192, 265-270. ISSN 1877-7058. https://doi.org/10.1016/j.proeng.2017.06.046 Gregor, M., Groumpos, P. P., Gregor, M., 2017. Using Weight Constraints and Masking to Improve Fuzzy Cognitive Map Models. 2nd Conference on Creativity in

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Quantitative assessment of urban transport development – a spatial approach

new area of the city’s value]. Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach , 249 , 134-144. Cheba, K., & Saniuk, S. (2016). Sustainable urban transport – the concept of measurement in the field of city logistics. Transportation Research Procedia , 16 , 35-45. Cools, M., Moons, E., & Wets, G. (2010). Calibrating activity-based models with external origin-destination: overview of possibilities. Transportation Research Record: Journal of the Transportation Research Board , 2175 , 98-110. Czech, A. (2014

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Logistics Maturity Model for Engineering Management – Method Proposal

. Kosieradzka, J. Smagowicz. “Analiza porównawcza modeli dojrzałości organizacji” in Współczesne koncepcje zarządzania publicznego. Wyzwania modernizacyjne sektora publicznego . M. Jabłoński, S. Mazur, M. Ćwiklicki, Fundacja GAP, 2016, pp. 283- 296. [5] C. Battista, A. Fumi, M.M.Schirald. “The Logistics Maturity Model: guidelines for logistic processes continuous improvement”, in Proceedings of the XXIII World POMS Conference , 2012, pp. 1-18. [6] C. Battista, M.M. Schiraldi. “ The Logistic Maturity Model: Application to a Fashion Company”. International

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