Research Article

Developing and prioritizing lean key performance indicators for plastering supply chains

Ana Carolina de Oliveira; Wesley Douglas Oliveira Silva; Danielle Costa Morais

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Paper aims: The aim of this study was to propose a hybrid approach to develop and prioritize the indicators which should be used to monitor the development of plastering supply chains while using lean manufacturing practices.

Originality: This approach proposed the integration of a Balanced Scorecard (BSC) - a multi-perspective tool for performance evaluation and strategic planning, and FITradeoff for the ranking problematic – a multicriteria method that features a robust axiomatic structure and uses partial information.

Research method: The results showed that the approach provided a set of indicators to assist the company’s manager to monitor and improve the company's competitiveness and sustainability.

Main findings: The results showed that the approach was able to provide a set of KPIs to assist the company’s manager to monitor and improve the plastering company management in terms of competitiveness and sustainability.

Implications for theory and practice: The results allowed evaluation of important issues for the strategic, economic, and environmental stability in complex business environments.


Balanced Scorecard, FITradeoff, Lean Manufacturing


Abreu, M., Alves, A., & Moreira, F. (2017). Lean-green model for eco-efficient and sustainable production. Energy, 137, 846-853.

Ackermann, F. (2012). Problem structuring methods “in the dock”: Arguing the case for Soft or. European Journal of Operational Research, 219(3), 652-658.

Aguado, S., Alvarez, R., & Domingo, R. (2013). Model of efficient and sustainable improvements in a lean production system through processes of environmental innovation. Journal of Cleaner Production, 47, 141-148.

Almeida, A., Almeida, J., Costa, A., & Almeida-Filho, A. (2016). A new method for elicitation of criteria weights in additive models: flexible and Interactive Tradeoff. European Journal of Operational Research, 250(1), 179-191.

Almeida-Filho, A., Almeida, A., & Costa, A. (2017). A flexible elicitation procedure for additive model scale constants. Annals of Operations Research, 259(1-2), 65-83.

Alves, J., & Alves, J. (2015). Production Management model integrating the principles of lean manufacturing and sustainability supported by the cultural transformation of a company. International Journal of Production Research, 53(17), 5320-5333.

Azevedo, S., Carvalho, H., Duarte, S., & Cruz-Machado, V. (2012). Influence of Green and lean upstream supply chain management practices on business sustainability. IEE Transactions on Engineering Management, 59(4), 753-765.

Baines, T., Lightfoot, H., Evans, S., Neely, A., Greenough, R., & Peppard, J. (2007). State-of-art in product-service systems. Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 221(10), 1543-1552.

Barata, J., Quelhas, O., Costa, H., Gutierrez, R., Lameira, V. J., & Meiriño, M. (2014). Multi-criteria indicator for sustainability rating in suppliers of the oil and gas industries in Brazil. Sustainability, 6(3), 1107-1128.

Barnaud, C., Le Page, C., Dumrongrojwatthana, P., & Trébuil, G. (2013). Spatial representations are not neutral: Lessons from a participatory agent-based modelling process in a land-use conflict. Environmental Modelling & Software, 45, 150-159.

Bui, T., Tsai, F., Tseng, M., Tan, R., Yu, K., & Lim, M. (2021). Sustainable supply chain management towards disruption and organizational ambidextery: a data driven analysis. Sustainable Production and Consumption., 26, 373-410. PMid:33015266.

Camilo, D., Souza, R., Frazão, T., & Costa Junior, J. (2020). Multi-criteria analysis in the health area: selection of the most appropriate triage system for the emergency care units in natal. BMC Medical Informatics and Decision Making, 20(1), 38. PMid:32085757.

Denyer, D., & Tranfield, D. (2009). Producing a systematic review. In D. A. Buchanan & A. Bryman (Eds.), The SAGE handbook of organizational research methods (pp. 671-689). Londres: Sage Publications.

Dinçer, H., Hacioglu, U., & Yuksel, S. (2017). Balanced scorecard-based performance measurement of European airlines using a hybrid multicriteria decision making approach under the fuzzy environment. Journal of Air Transport Management, 63, 17-33.

Echegaray, F. (2021). What post-COVID-19 lifestyles may look like? Identifying scenarios and their implications for sustainability. Sustainable Production and Consumption., 27, 567-574. PMid:34722841.

Efremov, R., Insua, D., & Lotov, A. (2009). A framework for participatory decision support using Pareto frontier visualization, goal identification and arbitration. European Journal of Operational Research, 199(2), 459-467.

Esa, M., Halog, A., & Rigamonti, L. (2017). Strategies for minimizing construction demolition wastes in Malaysia. Resources, Conservation and Recycling, 120, 219-229.

Fagnani, E., & Guimarães, J. (2017). Waste management plan for higher education institutions in developing countries: the continuous improvement cycle model. Journal of Cleaner Production, 147, 108-118.

Felice, F., Petrillo, A., & Autorino, C. (2015). Development of a framework for sustainable outsourcing: Analytic Balanced Scorecard Method (A-BSC). Sustainability, 7(7), 8399-8419.

Fonseca, A., McAllister, M., & Fitzpatrick, P. (2013). Measuring what? A comparative anatomy of five mining sustainability frameworks. Minerals Engineering, 46-47, 180-186.

Fouladgar, M., Yazdani-Chamzini, A., & Zavadskas, E. (2011). An integrated model for prioritizing strategies of the Iranian mining sector. Technological and Economic Development of Economy, 17(3), 459-483.

Freitas, J., & Costa, H. (2017). Impacts of Lean Six Sigma over organizational sustainability: a systematic literature review on scopus base. International Journal of Lean Six Sigma, 8(1), 89-108.

Freitas, J., Costa, H., & Ferraz, F. (2017). Impacts of Lean Six Sigma over organizational sustainability: a survey study. Journal of Cleaner Production, 156, 262-275.

Frej, E., Almeida, A., & Costa, A. (2019). Using data visualization for ranking alternatives with partial information and interactive tradeoff elicitation. Operations Research, 19(4), 909-931.

Giannopoulos, G., Holt, A., Khansalar, E., & Cleanthous, S. (2013). The use of the balanced scorecard in small companies. International Journal of Business and Management, 8(14), 1-22.

Hansen, E., & Schaltegger, S. (2016). The sustainability balanced scorecard: a systematic review of architectures. Journal of Business Ethics, 133(2), 193-221.

Hoque, Z. (2014). 20 years of studies on the balanced scorecard: trends, accomplishments, gaps and opportunities for future research. The British Accounting Review, 46(1), 33-59.

Huang, T., Pepper, M., & Bowrey, G. (2014). Implementing a sustainability balanced scorecard to contribute to the process of organisational legitimacy assessment. Journal of Business Finance & Accounting, 8, 15-34.

Instituto de Tecnologia de Pernambuco. (2019). Centro Tecnológico do Gesso: pólo gesseiro do Araripe. Recife: ITEP. Retrieved in 25 April 2022, from

Kang, T., Soares Junior, A., & Almeida, A. (2018). Evaluating electric power generation technologies: a multicriteria analysis based on the FITradeoff method. Energy, 165, 10-20.

Kaplan, R. S., & Norton, D. (1992). The balanced scorecard: measures that drive performance. Harvard Business Review, 70(1), 71-79. PMid:10119714.

Keeney, R. (1992). Value focused thinking. Cambridge: Harvard University Press.

Klepa, R., Medeiros, M., Franco, M., Tamberg, E., Farias, T., Paschoalin Filho, J., Berssaneti, F., & Santana, J. (2019). Reuse of construction waste to produce thermoluminescent sensor for use in highway traffic control. Journal of Cleaner Production, 209, 250-258.

Leal, G. S. S., Guérdia, W., & Panetto, H. (2019). Interoperability assessment: a systematic literature review. Computers in Industry, 106, 111-132.

Leung, L., Lam, K., & Cao, D. (2006). Implementing the balanced scorecard using the analytic hierarchy process & the analytic network process. The Journal of the Operational Research Society, 57(6), 682-691.

Majumdar, A., Shaw, M., & Sinha, S. (2020). COVID-19 debunks the myth of socially sustainable supply chain: a case of the clothing industry in south asian countries. Sustainable Production and Consumption, 24, 150-155.

Medel-González, F., García-Ávila, L. F., Salomon, V. A. P., Marx-Gómez, J., & Hernández, C. T. (2016). Sustainability performance measurement with Analytic Network Process and balanced scorecard: Cuban practical case. Production, 26(3), 527-539.

Mendes, J. A. J., Frej, E. A., Almeida, A. T., & Almeida, J. A. (2020). Evaluation offlexible and interactive tradeoff method based on numerical simulation experiments. Pesquisa Operacional, 40, 1-25.

Modak, M., Pathak, K., & Ghosh, K. (2017). Performance evaluation of outsourcing decision using a BSC and Fuzzy AHP approach: a case of the Indian coal mining organization. Resources Policy, 52, 181-191.

Mourtzis, D., Fotia, S., & Vlachou, E. (2017). Lean rules extraction methodology for lean PSS design via key performance indicators monitoring. Journal of Manufacturing Systems, 42, 233-243.

Muro, M., & Jeffrey, P. (2008). A critical review of the theory and application of social learning in participatory natural resource management processes. Journal of Environmental Planning and Management, 51(3), 325-344.

Neri, A., Cagno, E., Lepri, M., & Trianni, A. (2021). A triple bottom line balanced set of key performance indicators to measure the sustainability performance of industrial supply chains. Sustainable Production and Consumption, 26, 648-691.

Nooraie, V., Fathi, M., Narenji, M., Parast, M., Pardalos, P., & Stanfield, P. (2020). A multi-objective model for risk mitigating in supply chain design. International Journal of Production Research, 58(5), 1338-1361.

Nudurupati, S., Bititci, U., Kumar, V., & Chan, F. T. S. (2010). State of the art literature review on performance measurement. Computers & Industrial Engineering, 60(2), 279-290.

Pampanelli, A., Found, P., & Bernardes, A. (2014). A lean & Green model for a production cell. Journal of Cleaner Production, 85, 19-30.

Ravi, V., Shankar, R., & Tiwari, M. (2005). Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach. Computers & Industrial Engineering, 48(2), 327-356.

Rocha, C., & Sattler, M. (2009). A discussion on the reuse of building components in Brazil: an analysis of major social, economic and legal factors. Resources, Conservation and Recycling, 54(2), 104-112.

Roselli, L., Almeida, A., & Frej, E. (2019). Decision neuroscience for improving data visualization of decision support in the FITradeoff method. Operations Research, 19(4), 933-953.

Salimi, M., & Khodaparast, M. (2019). Providing a combined model of fuzzy AHP and numerical taxonomy analysis for sport organizational ranking and performance appraisal. International Journal of System Assurance Engineering and Management, 10(5), 1133-1144.

Saradhi, B. P., Shankar, N., & Suryanarayana, C. (2016). Novel distance measure in fuzzy TOPSIS for supply chain strategy based supplier selection. Mathematical Problems in Engineering, 2016, 1-17.

Sharma, V., Dixit, A., & Qadri, M. (2015). Impact of lean practices on performance measures in context to Indian machine tool industry. Journal of Manufacturing Technology Management, 26(8), 1218-1242.

Silva, W., & Fontana, M. (2020). Survey and analysis the critical success factors in the reverse flow inventory management process for returnable packaging. Brazilian Journal of Operations & Production Management, 17, 1-14.

Silva, W., Morais, D., & Urtiga, M. (2022). An Integrative negotiation model to deal with conflicts toward water resources management: a case study in Brazil. Environment, Development and Sustainability, 24(8), 10443-10469.

Singh, S., Olugu, E. U., Musa, S. N., & Mahat, A. B. (2018). Fuzzy-based sustainability evaluation method for manufacturing SMEs using balanced scorecard framework. Journal of Intelligent Manufacturing, 29(1), 1-18.

Sufiyan, M., Haleem, A., Khan, S., & Khan, M. (2019). Evaluating food supply chain performance using hybrid fuzzy MCDM technique. Sustainable Production and Consumption, 20, 40-57.

Swarnakar, V., Singh, A., Antony, J., Jayaraman, R., Tiwari, A., Rathi, R., & Cudney, E. (2022). Prioritizing indicators for sustainability assessment in manufacturing process: an integrated approach. Sustainability, 14(6), 3264.

Verrier, B., Rose, B., & Caillaud, E. (2016). Lean and Green strategy: the lean and Green house and maturity deployment model. Journal of Cleaner Production, 116, 150-160.

Wu, H., Tzeng, G., & Chen, Y. (2009). A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard. Expert Systems with Applications, 36(6), 10135-10147.

Yuksel, I., & Dağdeviren, M. (2010). Using the fuzzy analytic network process (ANP) for balanced scorecard (BSC): a case study for a manufacturing firm. Expert Systems with Applications, 37(2), 1270-1278.

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