Identifying and classifying attributes of packaging for customer satisfaction-A Kano Model Approach

[EN] The packaging industry in India is predicted to grow at 18% annually. In recent years Packaging becomes a potential marketing tool. The marketer should design the packaging of high quality from customer perspective.  As the research in the area of packaging is very few, study of quality attributes of Packaging is the need of the hour and inevitable. An empirical research was conducted by applying Kano Model. The researcher is interested to find out the perception of the customers on 22 quality attributes of packaging. 500 respondents which were selected randomly were asked about their experience of packing on everyday commodities through a well-structured questionnaire.  The classification of attribute as must-be quality, one-dimensional quality, attractive quality, indifferent quality and reverse quality was done by three methods. Marketer should make a note of it and prioritise the attributes for customer satisfaction.Dash, SK. (2021). 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Considerations about quality in model-driven engineering

The final publication is available at Springer via http://dx.doi.org/10.1007/s11219-016-9350-6The virtue of quality is not itself a subject; it depends on a subject. In the software engineering field, quality means good software products that meet customer expectations, constraints, and requirements. Despite the numerous approaches, methods, descriptive models, and tools, that have been developed, a level of consensus has been reached by software practitioners. However, in the model-driven engineering (MDE) field, which has emerged from software engineering paradigms, quality continues to be a great challenge since the subject is not fully defined. The use of models alone is not enough to manage all of the quality issues at the modeling language level. In this work, we present the current state and some relevant considerations regarding quality in MDE, by identifying current categories in quality conception and by highlighting quality issues in real applications of the model-driven initiatives. We identified 16 categories in the definition of quality in MDE. From this identification, by applying an adaptive sampling approach, we discovered the five most influential authors for the works that propose definitions of quality. These include (in order): the OMG standards (e.g., MDA, UML, MOF, OCL, SysML), the ISO standards for software quality models (e.g., 9126 and 25,000), Krogstie, Lindland, and Moody. We also discovered families of works about quality, i.e., works that belong to the same author or topic. Seventy-three works were found with evidence of the mismatch between the academic/research field of quality evaluation of modeling languages and actual MDE practice in industry. We demonstrate that this field does not currently solve quality issues reported in industrial scenarios. The evidence of the mismatch was grouped in eight categories, four for academic/research evidence and four for industrial reports. These categories were detected based on the scope proposed in each one of the academic/research works and from the questions and issues raised by real practitioners. We then proposed a scenario to illustrate quality issues in a real information system project in which multiple modeling languages were used. For the evaluation of the quality of this MDE scenario, we chose one of the most cited and influential quality frameworks; it was detected from the information obtained in the identification of the categories about quality definition for MDE. We demonstrated that the selected framework falls short in addressing the quality issues. Finally, based on the findings, we derive eight challenges for quality evaluation in MDE projects that current quality initiatives do not address sufficiently.F.G, would like to thank COLCIENCIAS (Colombia) for funding this work through the Colciencias Grant call 512-2010. This work has been supported by the Gene-ralitat Valenciana Project IDEO (PROMETEOII/2014/039), the European Commission FP7 Project CaaS (611351), and ERDF structural funds.Giraldo-Velásquez, FD.; España Cubillo, S.; Pastor López, O.; Giraldo, WJ. (2016). Considerations about quality in model-driven engineering. Software Quality Journal. 1-66. https://doi.org/10.1007/s11219-016-9350-6S166(1985). Iso information processing—documentation symbols and conventions for data, program and system flowcharts, program network charts and system resources charts. ISO 5807:1985(E) (pp. 1–25).(2011). Iso/iec/ieee systems and software engineering – architecture description. 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Parallel Computing in Water Network Analysis and Leakage Minimization

[EN] In this paper a parallel computing based software demonstrator for the simulation and leakage minimization of water networks is presented. This demonstrator, based on the EPANET package, tackles three different types of problems making use of parallel computing. First, the solution of the hydraulic problem is treated by means of the gradient method. The key point in the parallelization of the method is the solution of the underlying linear systems, which is carried out by means of a multifrontal Choleski method. Second, the water quality simulation problem is approached by using the discrete volume element method. The application of parallel computing is based on dividing the water network in several parts using the multilevel recursive bisection graph partitioning algorithm. Finally, the problem of leakage minimization using pressure reducing valves is approached. This results in the formulation of an optimization problem for each time step, which is solved by means of sequential quadratic programming. Because these subproblems are independent of each other, they can be solved in parallel.The writers wish to acknowledge the financial support provided by the ESPRIT program of the European Commission (HIPERWATER, ESPRIT project 24003), by the CICYT TIC96-1062-C03-01 project, and also by research staff training grants from the Spanish government and the autonomous government of the Comunidad Valenciana in Spain.Alonso Ábalos, JM.; Alvarruiz Bermejo, F.; Guerrero López, D.; Hernández García, V.; Ruiz Martínez, PA.; Vidal Maciá, AM.; Martínez Alzamora, F.... (2000). Parallel Computing in Water Network Analysis and Leakage Minimization. Journal of Water Resources Planning and Management. 126(4):251-260. https://doi.org/10.1061/(ASCE)0733-9496(2000)126:4(251)S251260126

Sustainability and Kaizen: Business Model Trends in Healthcare

[EN] Kaizen, or continuous improvement, is a management tool that allows the identification of activities that have no value in the processes examined. This identification leads to the improvement of these processes within any organization and promotes economic and social sustainability, and to a lesser extent environmental sustainability. Kaizen, already widely and successfully employed in the industrial sector, is now being applied in the health sector. However, the health sector tends to publish only the results of how processes have been improved in finely focused areas and the resulting benefits. The majority of the benefits focus on time and cost reduction. In this study, the authors carried out a bibliometric analysis using the Scimat program, which maps the thematic evolution of Kaizen in the health sector and its relationship with sustainability, in order to promote the interest of the health sector for this type of process improvement. The findings confirm that the implementation of Kaizen is recent and constantly evolves and grows, and that it can help economic and social sustainability, and to a lesser extent environmental sustainability.Morell-Santandreu, O.; Santandreu Mascarell, C.; García Sabater, JJ. (2020). Sustainability and Kaizen: Business Model Trends in Healthcare. Sustainability. 12(24):1-28. https://doi.org/10.3390/su122410622S1281224Sepetis, A. (2019). Sustainable Health Care Management in the Greek Health Care Sector. Open Journal of Social Sciences, 07(12), 386-402. doi:10.4236/jss.2019.712030Sustainable Healthcare—Working towards the Paradigm Shift https://www.anhinternational.org/wp-content/uploads/old/files/100617SustainableHealthcare_White-Paper.pdfWeisz, U., Haas, W., Pelikan, J. M., & Schmied, H. (2011). Sustainable Hospitals: A Socio-Ecological Approach. GAIA - Ecological Perspectives for Science and Society, 20(3), 191-198. doi:10.14512/gaia.20.3.10McGain, F., & Naylor, C. (2014). Environmental sustainability in hospitals – a systematic review and research agenda. Journal of Health Services Research & Policy, 19(4), 245-252. doi:10.1177/1355819614534836D’Andreamatteo, A., Ianni, L., Lega, F., & Sargiacomo, M. (2015). Lean in healthcare: A comprehensive review. Health Policy, 119(9), 1197-1209. doi:10.1016/j.healthpol.2015.02.002Norazlan, A. N. I., Habidin, N. F., Roslan, M. H., & Zainudin, M. Z. (2014). Investigation of kaizen blitz and sustainable performance for Malaysian healthcare industry. International Journal of Quality and Innovation, 2(3/4), 272. doi:10.1504/ijqi.2014.066381Patient Safety in Developing and Transitional Countries 2012 www.who.int/patientsafety/research/emro_afro_report.pdfElmontsri, M., Almashrafi, A., Banarsee, R., & Majeed, A. (2017). Status of patient safety culture in Arab countries: a systematic review. BMJ Open, 7(2), e013487. doi:10.1136/bmjopen-2016-013487Paul Brunet, A., & New, S. (2003). Kaizenin Japan: an empirical study. International Journal of Operations & Production Management, 23(12), 1426-1446. doi:10.1108/01443570310506704Ferreira, D. M. C., & Saurin, T. A. (2019). A complexity theory perspective of kaizen: a study in healthcare. Production Planning & Control, 30(16), 1337-1353. doi:10.1080/09537287.2019.1615649Chahal, H., & Fayza, N. A. (2016). An exploratory study on kaizen muda and organisational sustainability: patients’ perspective. International Journal of Lean Enterprise Research, 2(1), 81. doi:10.1504/ijler.2016.078249Ishijima, H., Nishikido, K., Teshima, M., Nishikawa, S., & Gawad, E. A. (2019). Introducing the «5S-KAIZEN-TQM» approach into public hospitals in Egypt. International Journal of Health Care Quality Assurance, 33(1), 89-109. doi:10.1108/ijhcqa-06-2018-0143Mazzocato, P., Stenfors-Hayes, T., von Thiele Schwarz, U., Hasson, H., & Nyström, M. E. (2016). Kaizen practice in healthcare: a qualitative analysis of hospital employees’ suggestions for improvement. BMJ Open, 6(7), e012256. doi:10.1136/bmjopen-2016-012256Gowen, C. R., McFadden, K. L., & Settaluri, S. (2012). Contrasting continuous quality improvement, Six Sigma, and lean management for enhanced outcomes in US hospitals. American Journal of Business, 27(2), 133-153. doi:10.1108/19355181211274442Grove, A. L., Meredith, J. O., MacIntyre, M., Angelis, J., & Neailey, K. (2010). UK health visiting: challenges faced during lean implementation. Leadership in Health Services, 23(3), 204-218. doi:10.1108/17511871011061037Ho, S. K. M. (2010). Integrated lean TQM model for global sustainability and competitiveness. The TQM Journal, 22(2), 143+-158. doi:10.1108/17542731011024264DelliFraine, J. L., Langabeer, J. R., & Nembhard, I. M. (2010). Assessing the Evidence of Six Sigma and Lean in the Health Care Industry. Quality Management in Health Care, 19(3), 211-225. doi:10.1097/qmh.0b013e3181eb140eSouza, J. P. E., & Alves, J. M. (2018). Lean-integrated management system: A model for sustainability improvement. Journal of Cleaner Production, 172, 2667-2682. doi:10.1016/j.jclepro.2017.11.144Costa, L. B. M., & Godinho Filho, M. (2016). Lean healthcare: review, classification and analysis of literature. Production Planning & Control, 27(10), 823-836. doi:10.1080/09537287.2016.1143131Costa, D. G. da, Pasin, S. S., Magalhães, A. M. M. de, Moura, G. M. S. S. de, Rosso, C. B., & Saurin, T. A. (2018). Analysis of the preparation and administration of medications in the hospital context based on Lean thinking. Escola Anna Nery, 22(4). doi:10.1590/2177-9465-ean-2017-0402Van Aken, J., Chandrasekaran, A., & Halman, J. (2016). Conducting and publishing design science research. Journal of Operations Management, 47-48(1), 1-8. doi:10.1016/j.jom.2016.06.004Glover, W. J., Farris, J. A., Van Aken, E. M., & Doolen, T. L. (2011). Critical success factors for the sustainability of Kaizen event human resource outcomes: An empirical study. International Journal of Production Economics, 132(2), 197-213. doi:10.1016/j.ijpe.2011.04.005Glover, W. J., Liu, W., Farris, J. A., & Van Aken, E. M. (2013). Characteristics of established kaizen event programs: an empirical study. International Journal of Operations & Production Management, 33(9), 1166-1201. doi:10.1108/ijopm-03-2011-0119Aij, K. H., & Rapsaniotis, S. (2017). Leadership requirements for Lean versus servant leadership in health care: a systematic review of the literature. Journal of Healthcare Leadership, Volume 9, 1-14. doi:10.2147/jhl.s120166Garcia, S., Cintra, Y., Torres, R. de C. S. R., & Lima, F. G. (2016). Corporate sustainability management: a proposed multi-criteria model to support balanced decision-making. Journal of Cleaner Production, 136, 181-196. doi:10.1016/j.jclepro.2016.01.110The Sustainability Yearbook 2014 https://www.p-plus.nl/resources/articlefiles/SustainabilityYearbook2014.pdfRebelo, M. F., Santos, G., & Silva, R. (2016). Integration of management systems: towards a sustained success and development of organizations. Journal of Cleaner Production, 127, 96-111. doi:10.1016/j.jclepro.2016.04.011Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146-166. doi:10.1016/j.joi.2010.10.002Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609-1630. doi:10.1002/asi.22688Martínez-Jurado, P. J., & Moyano-Fuentes, J. (2014). Lean Management, Supply Chain Management and Sustainability: A Literature Review. Journal of Cleaner Production, 85, 134-150. doi:10.1016/j.jclepro.2013.09.042López-Robles, J.-R., Guallar, J., Otegi-Olaso, J.-R., & Gamboa-Rosales, N.-K. 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