МЕТОДЫ УЛУЧШЕНИЯ КЛЮЧЕВЫХ ПОКАЗАТЕЛЕЙ ДЕЯТЕЛЬНОСТИ

Авторы

  • Маъмуржон Курбонов

DOI:

https://doi.org/10.47390/SP1342V3SI4Y2023N20

Ключевые слова:

совершенствование, ключевые производственные показатели, бизнес-стратегия, бизнес-устойчивость, эффективность, стратегические рамки, стратегические цели, бизнес-модуль.

Аннотация

проблема исследования, выявленная в рамках данной темы путем обзора литературы по вопросам оптимизации бизнеса, стабильности бизнеса, бизнес-стратегии и ключевых показателей деятельности (КПД), была апробирована с точки зрения всех типов отраслей.

Библиографические ссылки

Mohammadi, M., Al-Fuqaha, A., Sorour, S. & Guizani, M. (2018). Deep learning for IoT big data and streaming analytics: A survey. IEEE Communications Surveys & Tutorials, 20(4) :2923-2960.

Chang, D., Chen, B., Li, D. & Han, X. (2014). User experience oriented mobile business process optimization. Studies in Informatics and Control, 23(2):171-182. / Rondini, A., Pezzotta, G., Cavalieri, S., Ouertani, M. & Pirola, F. (2018). Standardizing delivery processes to support service transformation: A case of a multinational manufacturing firm. Computers in Industry, 100115-128.

Telukdarie, A., Buhulaiga, E., Bag, S., Gupta, S. & Luo, Z. (2018). Industry 4.0 implementation for multinationals. Process Safety and Environmental Protection, 118316-329.

Telukdarie, A., Buhulaiga, E., Bag, S., Gupta, S. & Luo, Z. (2018). Industry 4.0 implementation for multinationals. Process Safety and Environmental Protection, 118316-329.

Mohammadi, M., Al-Fuqaha, A., Sorour, S. & Guizani, M. (2018). Deep learning for IoT big data and streaming analytics: A survey. IEEE Communications Surveys & Tutorials, 20(4) :2923-2960.

Mohammadi, M., Al-Fuqaha, A., Sorour, S. & Guizani, M. (2018). Deep learning for IoT big data and streaming analytics: A survey. IEEE Communications Surveys & Tutorials, 20(4) :2923-2960. / Rondini, A., Pezzotta, G., Cavalieri, S., Ouertani, M. & Pirola, F. (2018). Standardizing delivery processes to support service transformation: A case of a multinational manufacturing firm. Computers in Industry, 100115-128.

Chang, D., Chen, B., Li, D. & Han, X. (2014). User experience oriented mobile business process optimization. Studies in Informatics and Control, 23(2):171-182. / Rondini, A., Pezzotta, G., Cavalieri, S., Ouertani, M. & Pirola, F. (2018). Standardizing delivery processes to support service transformation: A case of a multinational manufacturing firm. Computers in Industry, 100115-128.

Smith, M.L. & Wicks, S.J. (2014). Medium-term production scheduling of the Lumwana mining complex. Interfaces, 44(2):176-194. / Hu, B. & Feng, Y. (2017). Optimization and coordination of supply chain with revenue sharing contracts and service requirement under supply and demand uncertainty. International Journal of Production Economics, 183185-193. / Telukdarie, A & Sishi, M.N. (2018). Enterprise definition for Industry 4.0. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 849-853.

Yang, X., Deb, S. & Fong, S. (2014). Bat algorithm is better than intermittent search strategy. arXiv preprint arXiv:1408.5348.

Mobin, M., Mousavi, S.M., Komaki, M. & Tavana, M. (2018). A hybrid desirability function approach for tuning parameters in evolutionary optimization algorithms. Measurement, 114417-427.

Tao, F., Qi, Q., Wang, L. & Nee, A. (2019). Digital twins and cyber–physical systems toward smart manufacturing and industry 4.0: Correlation and comparison. Engineering, 5(4):653-661.

Smith, M.L. & Wicks, S.J. (2014). Medium-term production scheduling of the Lumwana mining complex. Interfaces, 44(2):176-194.

Rezaee, Z., Aliabadi, S., Dorestani, A. & Rezaee, N.J. (2020). Application of time series models in business research: Correlation, association, causation. Sustainability, 12(12):4833.

Durst, S. & Zieba, M. (2020). Knowledge risks inherent in business sustainability. Journal of Cleaner Production, 251119670.

León-Quismondo, J., García-Unanue, J. & Burillo, P. (2020). Best practices for fitness center business sustainability: A qualitative vision. Sustainability, 12(12):5067.

Sharma, G. & Bansal, P. (2020). Cocreating rigorous and relevant knowledge. Academy of Management Journal, 63(2):386-410.

Javanmardi, E. & Liu, S. (2019). Exploring grey systems theory-based methods and applications in analyzing socio-economic systems. Sustainability, 11(15):4192.

Kwahk, K., Yang, S. & Ahn, H. (2020). How organizational citizenship behavior affects ERP usage performance: The mediating effect of absorptive capacity. Sustainability, 12(11):4462.

Durst, S. & Zieba, M. (2020). Knowledge risks inherent in business sustainability. Journal of Cleaner Production, 251119670.

Malik, S.Y., Cao, Y., Mughal, Y.H., Kundi, G.M., Mughal, M.H. & Ramayah, T. (2020). Pathways towards sustainability in organizations: Empirical evidence on the role of green human resource management practices and green intellectual capital. Sustainability, 12(8):3228.

Blštáková, J., Joniaková, Z., Jankelová, N., Stachová, K. & Stacho, Z. (2020). Reflection of digitalization on business values: The results of examining values of people management in a digital age. Sustainability, 12(12):5202.

Rezaee, Z., Aliabadi, S., Dorestani, A. & Rezaee, N.J. (2020). Application of time series models in business research: Correlation, association, causation. Sustainability, 12(12):4833.

Choudhari, S.C., Adil, G.K. & Ananthakumar, U. (2012). Choices in manufacturing strategy decision areas in batch production system–six case studies. International Journal of Production Research, 50(14):3698-3717.

Beavers, A.S., Lounsbury, J.W., Richards, J.K., Huck, S.W., Skolits, G.J. & Esquivel, S.L. (2013). Practical considerations for using exploratory factor analysis in educational research. Practical Assessment, Research, and Evaluation, 18(1):6.

Ghezzi, A. (2013). Revisiting business strategy under discontinuity. Management Decision.

Lourens, A.S. & Jonker, J.A. (2013). An integrated approach for developing a technology strategy framework for small-to medium-sized furniture manufacturers to improve competitiveness. South African Journal of Industrial Engineering, 24(1):50-67.

Balafif, S., & T. Haryanti (2020). IT Balanced Scorecard (IT BSC) based strategic framework for assessing the impacts of Business Strategic-IT alignment. IOP Conference Series: Materials Science and Engineering, 821(1). IOP Publishing.

Inci, A.C. & Saraoglu, H. (2019). Two diagrams with many stories: Incorporating finance into teaching global strategy. Journal of Teaching in International Business, 30(4):314-341.

Lourens, A.S. & Jonker, J.A. (2013). An integrated approach for developing a technology strategy framework for small-to medium-sized furniture manufacturers to improve competitiveness. South African Journal of Industrial Engineering, 24(1):50-67.

Brundage, M.P., Bernstein, W.Z., Morris, K.C. & Horst, J.A. (2017). Using graph-based visualizations to explore key performance indicator relationships for manufacturing production systems. Procedia CIRP, 61451-456./ Kucukaltan, B., Irani, Z. & Aktas, E. (2016). A decision support model for identification and prioritization of key performance indicators in the logistics industry. Computers in Human Behavior, 65346-358.

Hsu, P., Moore, J.A. & Neubaum, D.O. (2018). Tax avoidance, financial experts on the audit committee, and business strategy. Journal of Business Finance & Accounting, 45(9- 10):1293-1321.

Kucukaltan, B., Irani, Z. & Aktas, E. (2016). A decision support model for identification and prioritization of key performance indicators in the logistics industry. Computers in Human Behavior, 65346-358.

Cao, Y., Zhao, K., Yang, J. & Xiong, W. (2015). Constructing the integrated strategic performance indicator system for manufacturing companies. International Journal of Production Research, 53(13):4102-4116.

Lavy, S., Garcia, J.A. & Dixit, M.K. (2014). KPIs for facility’s performance assessment: Identification and categorization of core indicators. Facilities.

Lavy, S., Garcia, J.A. & Dixit, M.K. (2014). KPIs for facility’s performance assessment: Identification and categorization of core indicators. Facilities./ Hara, M., Nagao, T., Hannoe, S. & Nakamura, J. (2016). New key performance indicators for a smart sustainable city. Sustainability, 8 (3): 206.

Cao, Y., Zhao, K., Yang, J. & Xiong, W. (2015). Constructing the integrated strategic performance indicator system for manufacturing companies. International Journal of Production Research, 53(13):4102-4116. / González-Gil, A., Palacin, R. & Batty, P. (2015). Optimal energy management of urban rail systems: Key performance indicators. Energy Conversion and Management, 90282-291.

Xu, P.P., Chan, E.H. & Qian, Q.K. (2012). Key performance indicators (KPI) for the sustainability of building energy efficiency retrofit (BEER) in hotel buildings in china. Facilities

Ur Rehman, M.H., Yaqoob, I., Salah, K., Imran, M., Jayaraman, P.P. & Perera, C. (2019). The role of big data analytics in industrial internet of things. Future Generation Computer Systems, 99247-259.

Загрузки

Опубликован

2023-06-18

Как цитировать

Курбонов, М. (2023). МЕТОДЫ УЛУЧШЕНИЯ КЛЮЧЕВЫХ ПОКАЗАТЕЛЕЙ ДЕЯТЕЛЬНОСТИ. Ижтимоий-гуманитар фанларнинг долзарб муаммолари / Актуальные проблемы социально-гуманитарных наук / Actual Problems of Humanities and Social Sciences., 3(S/4), 156–166. https://doi.org/10.47390/SP1342V3SI4Y2023N20