References  Elkington J., Cannibals with forks: the triple bottom line of 21st century business , Capstone, Oxford, 2002.  Corbett L.M., Sustainable operations management: a typological approach, Journal of Industrial Engineering and Management , 2 , 1, 2009, 10-30.  Corbett C.J., Klassen R.D., Extending the horizons: environmental excellence as key to improving operations, Manufacturing and Service Operations Management , 8 , 1, 2006, 5-22.  Corbett C.J., Kleindorfer P
M. Can Arslan and Metin Turkay
REFERENCES Aaltonen, S., Akola, E. (2014). Lack of Trust – The Main Obstacle for Immigrant Entrepreneurship ? From < http://pyk2.aalto.fi/ncsb2012/Aaltonen.pdf (accessed on 19 June 2018). Abdul-Wahab, S., Abdo, J. (2019). The Effects of Demographic Factors on the Environmental Awareness of Omani Citizens . Human and Ecological Risk Assessment: An International Journal, 16, 380-401. Amenumey, F.K. (2015). Variables that Impact Environmental Sustainability Behaviors of Employees in the Textile Manufacturing Industry in Ghana, https
Christopher Myers, Kevin Gluck, Glenn Gunzelmann and Michael Krusmark
., John, B. E., & Atwood, M. E. (1993). Project Ernestine: Validating GOMS for predicting and explaining real-world task performance. Human Computer Interaction., 8(3), 237-309. Gray, W. D., Schoelles, M., & Myers, C. W. (2002). Computational cognitive models ISO ecologically optimal strategies . Paper presented at the 46th Annual Conference of the Human Factors & Ergonomics Society, Baltimore, MD. Gunzelmann, G. F., Gross, J. B., Gluck, K. A., & Dinges, D. F. (2009). Sleep Deprivation and Sustained Attention
Tomasz Brzęczek and Dariusz Nowak
References  Barney J.B., Clark D.N., Resource-Based Theory: Creating and Sustaining Competitive Advantage , Oxford University Press, New York 2007, 18.  Beksiak J., Economics (Ekonomia), PWN, Warsaw 2001, 112.  Błażewicz, J., Domschke, W., Pesch, E., The job shop scheduling problem: Conventional and new solution techniques. European Journal of Operational Research , 93, 1996, 1-30.  Eiben A.E., Smith J.E., Introduction to Evolutionary Computing, Natural Computing Series
Abhijit Sharma, Pratik Sharma, Rituparna Chaki and Uma Bhattacharya
References  J. Joshi and G. Mundada, "A hybrid channel allocation algorithm to reduce call blocking probability using hot-spot notification," in Information and Automation for Sustainability (ICIAFs), 2010 5th International Conference on, 2010, pp. 404-410.  F.-m. Zhao, L.-g. Jiang, and C. He, "A Pre-Emptive Horizontal Channel Borrowing and Vertical Traffic Overflowing Channel Allocation Scheme for Overlay Networks," IEICE Trans. Fundam. Electron. Commun. Comput. Sci., vol. E91-A, pp. 1516-1528, 2008. [3
Mohammad Aldabbas, Francesca Venteicher, Lenna Gerber and Marino Widmer
Proposal for Optimal Location of Emergency Operation Centers through Multi-Criteria Approach, MDPI Sustainability, 16, 8, 2016, 50.  Erden T., Coşkun M.Z., Multi-criteria site selection for fire services. The interaction with analytic hierarchy process and geographic information systems, Natural Hazards Earth System Sciences, 10, 10, 2010, 2127-2134.  ESRI, GIS for Fire Station Locations and Response Protocol, 2007, [Available online https://www.esri.com/library/whitepapers/pdfs/gis-for-fire.pdf].  Etat de
G. Papaioannou and J.M. Wilson
Witte, J. (1980). The use of similarity coefficients in production flow analysis, International Journal of Production Research , 18 (4), 503-514.  Dorigo, M., Maniezzo, V. and Colorni, A. (1996). Ant system: Optimisation by a colony of cooperating agents, IEEE Transactions on Systems, Man and Cybernetics - Part B Cybernetics , 26, 29-41.  Foulds, L.R., French, A.P. and Wilson, J.M. (2006). The sustainable cell formation problem: manufacturing cell creation with machine modification costs, Computers and Operations Research
Jēkabs Trušiņš, Arnis Lektauers, Yuri Merkuryev and Inese Trusina
segregation," Journal of Mathematical Sociology, vol. 1, no. May, pp. 143-186, 1971. M. J. de Smith, M. F. Goodchild, and P. A. Longley, Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools, 3rd ed. Matador, 2009. K. Lautso et al., PROPOLIS: Planning and Research of Policies for Land Use and Transport for Increasing Urban Sustainability. 2004, p. 342. "UrbanSim Community Web Portal." [Online]. Available: http://www.urbansim.org/Main/WebHome
Marco Schumann, Stefan Leye and Artyom Popov
Effective applied research is based on close collaboration between research and industry, which taking the findings of basic research on customer demands as its starting point, creates a new means for developing and marketing innovative products. What is more, growing demands for innovative and sustainable results of research and development are prompting the examination of global trends such as demographic change, growing megacities, rising energy consumption and increasing traffic and the resultant social challenges. These trends and increasing traffic in particular are giving rise to new fields of work, especially for digital technologies, as a social responsibility, e.g., in driver assistance and traffic control systems that increase safety.
This paper examines a means by which digital engineering, virtual and augmented reality technologies can support the creation of sustainable smart manufacturing and smart logistics processes as well as on-the-job training and qualification and knowledge transfer.
P. Yakimov and A. Iovev
The paper considers the possibilities for implementation the Cloud technologies in the energy systems control and the expected benefits from this. The trends in the electric energy systems development and the challenges in front of the control are summarized. It is obvious that the introduction of information and communications technologies is unavoidable in order to achieve the main goals – effective, reliable, sustainable and safe operation of the energy system. A possible scenario is the development of a modern metering infrastructure based on smart sensor networks. Development and implementation of Internet of Things oriented solutions is expected to help the introduction of Cloud computing in the industrial and home energy management systems. Two models of IoT based solutions are explained. They consider the approaches for Internet connectivity of modern and legacy measurement and control equipment. Experimental results are given.