References A nttila , J., J ussila , K., K ajava , J. 2012. Reinforcing business integration in managing specialized disciplines in organizations , Management system standards viewpoints, The International Symposium on Quality, Solin, Croatia. A nattila , J., J ussila , K. 2018. The role of internal auditing in the development of the organization towards the excellent performance , The 19 th International Symposium on Quality, Plitvička jezera Croatia. A nttila , J., J ussila , K. 2017a. Universities and smart cities: The challenges to high quality , The 20
High doses of medical waste evidence that health waste management is problematic. A case study was conducted at various health institutions. This research analyzes various issues in the area of medical waste management. The research examines the perception of staff regarding medical waste management. The purpose of the study is to investigate the level of knowledge, attitudes and role of health practitioners in the management of medical waste.
Here the quality index and the environmental index of two health centers are studied; one is a private hospital and the other one a state hospital and compares these two indices with a questionnaire.
To provide environmentally friendly services, customers and environmental criteria have to be taken into account in the decision-making process and distributing the Green Quality Function provides a very useful way to achieve this goal.
Service Theory and Practice, 27(1), 164-186. Shostack, G.L., 1984. Designing Services that Deliver , Harvard Business Review, 134-139. Sutrisno, A., Lee, T.R., 2011. S ervice reliability assessment using failure mode and effect analysis (FMEA): survey and opportunity roadmap , International Journal of Engineering, Science and Technology, 3(7), 25-38. Tan, K.C., Shen, X.X., 2000. Integrating Kano’s model in the planning matrix of quality function deployment , Total Quality Management, 11(8), 1141-1151. Tax, S.S., Brown, S.W., 1998. Recovering and Learning from service
The inherent benefits of an accident prevention program are generally known only after an accident has occurred. The purpose of implementation of the program is to minimize the number of accidents and cost of damages. Allocation of resources to implement accident prevention program is vital because it is difficult to estimate the extent of damage caused by an accident. Accurate fatal accident predictions can provide a meaningful data that can be used to implement accident prevention program in order to minimize the cost of accidents. This paper forecast the fatal accidents of factories in India by using Auto-Regressive Integrating Moving Average Method (ARIMA) model. Accident data for the available period 1980 to 2013 was collected from the Labour bureau, Government of India to analyze the long term forecasts. Different diagnostic tests are applied in order to check the adequacy of the fitted models. The results show that ARIMA (0, 0, 1) is suitable model for prediction of fatal injuries. The number of fatal accidents is forecasted for the period 2014 to 2019. These results suggest that the policy makers and the Indian labour ministry must focus attention toward increasing fatal accidents and try to find out the reasons. It is also an opportunity for the policy makers to develop policies which may help in minimizing the number fatal accidents.
, 2014. Human capital in Poland in 2012, Gdańsk. Santosh K. Sahuishan R., 2016. Determinants of outsourcing in the automobile sector in india, India. Sidor-Rządkowska M. 2011. Competent employee evaluation systems. Preparation, implementation and integration with other HRM systems, Warsaw. Stawicka M. K., 2012. Custom production and outsourcing services as non-capital forms of production. Trocki M. 2011. Outsourcing. Method of business restructuring, Warsaw.
References Bhasin, S., Burcher, P., 2006. Lean viewed as a philosophy, Journal of Manufacturing Technology Management, 17(1), 56-72, https://doi.org/10.1108/17410380610639506 Bicheno, J., 2000. The Lean Toolbox, Picsie Books, ISBN: 0951382993, 9780951382998 Biggs, C., (2009) Exploration of the integration of Lean and environmental improvement. Ph. D Thesis, Cranfield University, Sep-2009, http://dspace.lib.cranfield.ac.uk/handle/1826/4566 Gunasekaran, A., Forker, L., Kobu, B., 2000. Improving operations performance in a small company: a case study, International
Reference B adria A., G bodossoub A., N adeaua S. 2012. Occupational health and safety risks: Towards the integration into project management , Safety Science, Vol. 50, Issue 2, 190-198. B ragatto P. A., A nsaldi S. M., A gnello P. 2015. Small enterprises and major hazards: How to develop an appropriate safety management system , Journal of Loss Prevention in the Process Industries, Vol. 33, 232-244. C hovanec A., B reznická A. 2017. Some Aspects of a Manufacturing Process Simulation , Manufacturing Technology, Vol. 17, No. 3, 319-325. D obosz M., S
in design process documentation of quality management systems . International Journal of Information Management, Vol. 36 (4), 599-606. DOI: 10.1016/j.ijinfomgt.2016.03.011. I nfo W atch A nalytical C enter R eport D ata leakage . Russia. 2016. URL: https://www.infowatch.ru/analytics/reports/17962 . K atz G., E lovici Y. S hapira B. 2014. CoBAn. A context based model for data leakage prevention . Information Sciences, Vol. 262, 137–158. DOI: 10.1016/j.ins.2013.10.005. S hamala P., A hmad R., Z olait A., S edek M. 2017. Integrating Information Quality
environment, 14(1), 20-37. Grundwald, A., Rösch, C., 2011. Sustainability assessment of energy technologies: towards an integrative framework, Energ y, Sustainability and Society 1, 2011, 3. doi.org/10.1186/2192-0567-1-3. Harris, J.M., Wise T., Goodwin N.R., 2001. A survey of sustainable development: social and economic dimensions, frontier issues in economic thought , Island Press,. Washington, DC, 6. Hrovatin, N., Dolšak , N., Zorić, J., 2016. Factors impacting investments in energy efficiency and clean technologies: empirical evidence from Slovenian manufacturing
://www.edmunds.com/fuel-economy/will-californias-zero-emissions-mandate-alter-the-car-landscape.html Pilkington, A., Dyerson, R., 2006. Innovation in disruptive regulatory environments: A patent study of electric vehicle technology development . European Journal of Innovation Management, 9(1), 79-91. Pohl, H., Yarime, M., 2012. Integrating innovation system and management concepts: The development of electric and hybrid EV in Japan . Technological Forecasting and Social Change, 79(8), 1431-1446. Steenberghen, T., Lopez, E., 2008. Overcoming barriers to the implementation of alternative fuels for road transport in Europe . Journal of Cleaner Production, 16(5), 577