Production
https://prod.org.br/article/doi/10.1590/0103-6513.20190003
Production
Research Article

Method for assessing the obsolescence of manufacturing equipment based on the triple bottom line

Marcelo Niehues Schlickmann; João Carlos Espíndola Ferreira; Abner do Canto Pereira

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Abstract

Abstract: Paper aims: This paper proposes a method for the assessment of equipment obsolescence, which includes the economic, environmental and social dimensions that compose the triple bottom line.

Originality: This paper describes a novel method that allows a complete evaluation of the state of use of a machine, besides the traditional economic-functional analysis, as well as its application in a large electric machines manufacturing company.

Research method: Analytic Hierarchy Process (AHP) multicriteria analysis is used, allowing a comparative and flexible assessment of the equipment.

Main findings: Even if there is no economic justification for replacing the equipment considering the financial return on investment, the machine can be considered obsolete from a sustainable point of view, due to its inadequate environmental and social performance.

Implications for theory and practice: Applying sustainability concepts in the manufacturing environment, more precisely in the machines on the shop floor, is very important to ensure cleaner production.

Keywords

Sustainable manufacturing, Equipment obsolescence, Triple Bottom Line (TBL), Analytic Hierarchy Process (AHP)

References

Amrina, E., & Vilsi, A. L. (2015). Key performance indicators for sustainable manufacturing assessment in cement industry. Procedia CIRP, 26, 19-23. http://dx.doi.org/10.1016/j.procir.2014.07.173.

Bhanot, N., Rao, P. V., & Deshmukh, S. G. (2015). Sustainability assessment framework for a manufacturing firm: an exploratory study. Journal of Practice Management, 39(2), 36-46.

Brockhaus, S., Fawcett, S., Kersten, W., & Knemeyer, M. (2016). A framework for benchmarking product sustainability efforts: Using systems dynamics to achieve supply chain alignment. Benchmarking, 23(1), 127-164. http://dx.doi.org/10.1108/BIJ-09-2014-0093.

Brundtland, G. H. (1987). Report of the World Commission on environment and development: “Our common future”. New York: United Nations.

Caetano, M., Araujo, J. B., & Amaral, D. C. (2012). A framework for the application of eco-efficiency to the technology development process. Journal of Technology Management & Innovation, 7(2), 28-38. http://dx.doi.org/10.4067/S0718-27242012000200003.

Caputo, A. C., Pelagagge, P. M., & Salini, P. (2013). AHP-based methodology for selecting safety devices of industrial machinery. Safety Science, 53, 202-218. http://dx.doi.org/10.1016/j.ssci.2012.10.006.

Chaim, O., Muschard, B., Cazarini, E., & Rozenfeld, H. (2018). Insertion of sustainability performance indicators in an industry 4.0 virtual learning environment. Procedia Manufacturing, 21, 446-453. http://dx.doi.org/10.1016/j.promfg.2018.02.143.

Cucchiella, F., D’Adamo, I., Rosa, P., & Terzi, S. (2016). Automotive printed circuit boards recycling: an economic analysis. Journal of Cleaner Production, 121, 130-141. http://dx.doi.org/10.1016/j.jclepro.2015.09.122.

Elkington, J. (1999). Cannibals with forks: triple bottom line of 21st century business. Oxford, UK: Capstone.

Fan, C., Carrel, J. D., & Zhang, H.-C. (2010 May 17-19). An investigation of indicators for measuring sustainable manufacturing. In International Symposium on Sustainable Systems and Technology (pp. 1-5). IEEE: Arlington, USA.

Guo, R. (2017). Industrialization and Technological Progress. In Guo R. How the chinese economy works (4th ed., pp. 341-371). Palgrave Macmillan. http://dx.doi.org/10.1007/978-3-319-32306-0_11.

Haanaes, K., Balagopal, M., Kong, M. T., Velken, I., Arthur, D., Hopkins, M. S., & Kruschwitz, N. (2011). New sustainability study: the ‘embracers’ seize advantage. Cambridge: MIT Sloan Management Review. Retrieved in 13 July 2017, from http://sloanreview.mit.edu/paper/new-sustainability-study-the-embracers-seize-advantage/

Hallstedt, S. I., Thompson, A. W., & Lindahl, P. (2013). Key elements for implementing a strategic sustainability perspective in the product innovation process. Journal of Cleaner Production, 51, 277-288. http://dx.doi.org/10.1016/j.jclepro.2013.01.043.

Hartman, J. C., & Murphy, A. (2006). Finite-horizon equipment replacement analysis. IIE Transactions, 38(5), 409-419. http://dx.doi.org/10.1080/07408170500380054.

Helleno, A. L., Moraes, A. J. I., & Simon, T. S. (2017). Integrating sustainability indicators and lean manufacturing to assess manufacturing processes: Application case studies in Brazilian industry. Journal of Cleaner Production, 153, 405-416. http://dx.doi.org/10.1016/j.jclepro.2016.12.072.

Ho, W., & Ma, X. (2018). The state-of-the-art integrations and applications of the analytic hierarchy process. European Journal of Operational Research, 267(2), 399-414. http://dx.doi.org/10.1016/j.ejor.2017.09.007.

Hoffman, H., & Kasparbauer, M. (1998). Metal Forming Handbook (291 p.). Germany: Goeppingen.

Huang, I. B., Keisler, J., & Linkov, I. (2011). Multi-criteria decision analysis in environmental sciences: ten years of applications and trends. The Science of the Total Environment, 409(19), 3578-3594. http://dx.doi.org/10.1016/j.scitotenv.2011.06.022. PMid:21764422.

Jan, I. (2017). Discounted Payback Period. Retrieved in 2017, October 20, from https://accountingexplained.com/managerial/capital-budgeting/discounted-payback-period/

Joung, C. B., Carrell, J., Sarkar, P., & Feng, S. C. (2013). Categorization of indicators for sustainable manufacturing. Ecological Indicators, 24, 148-157. http://dx.doi.org/10.1016/j.ecolind.2012.05.030.

Kleindorfer, P. R., Singhal, K., & Van Wassenhove, L. (2005). Sustainable operations management. Production and Operations Management, 14(4), 482-492. http://dx.doi.org/10.1111/j.1937-5956.2005.tb00235.x.

Kluczek, A. (2016). Application of multi-criteria approach for sustainability assessment of manufacturing processes. Management and Production Engineering Review, 7(3), 62-78. http://dx.doi.org/10.1515/mper-2016-0026.

Kushwaha, G. S., & Sharma, N. K. (2016). Green initiatives: a step towards sustainable development and firm’s performance in the automobile industry. Journal of Cleaner Production, 121, 116-129. http://dx.doi.org/10.1016/j.jclepro.2015.07.072.

Lawrence, C. L., & Tanchoco, J. M. A. (1990). Multiple machine replacement analysis. Journal of Engineering Costs and Production Economics, 20(3), 265-275. http://dx.doi.org/10.1016/0167-188X(90)90074-R.

Linke, B. S., Corman, G. J., Dornveld, D. A., & Tönissen, S. (2013). Sustainability indicators for discrete manufacturing processes applied to grinding technology. Journal of Manufacturing Systems, 32(4), 556-563. http://dx.doi.org/10.1016/j.jmsy.2013.05.005.

Morioka, S. N., & Carvalho, M. M. (2016). A sistematic literature review towards a conceptual framework for integrating sustainability performance into business. Journal of Cleaner Production, 136, 134-146. http://dx.doi.org/10.1016/j.jclepro.2016.01.104.

Ocampo, L. A. (2015). A hierarchical framework for index computation in sustainable manufacturing. Advances in Production Engineering & Management, 10, 40-50. http://dx.doi.org/10.14743/apem2015.1.191.

Ocampo, L. A., Vergara, V. G., Impas, C., Tordillo, J. A., & Pastoril, J. (2015). Identifying critical indicators in sustainable manufacturing using analytic hierarchy process (AHP). Journal of Manufacturing and Industrial Engineering, 14(3-4), 1-8. http://dx.doi.org/10.12776/mie.v14i3-4.444.

Oliveira, J. Z., & Duque, J. (2011). Operational asset replacement strategy: A real options approach. European Journal of Operational Research, 210(2), 318-325. http://dx.doi.org/10.1016/j.ejor.2010.09.011.

Ortas, E., Gallego-Alvarez, I., & Álvarez Etxeberria, I. (2015). Financial factors influencing the quality of corporate social responsibility and environmental management disclosure: A quantile regression approach. Corporate Social Responsibility and Environmental Management, 22(6), 362-380. http://dx.doi.org/10.1002/csr.1351.

Paine, L. S. (2014). Sustainability in the board room. Harvard Business Review, 92(7), 86-94.

Panneerselvam, R. (2012). Engineering Economics (13th ed.). New Delhi, India: PHI Learning Private Limited.

Pimenta, H. C. D., & Gouvinhas, R. P. (2012). A produção mais limpa como ferramenta da sustentabilidade empresarial: um estudo no estado do Rio Grande do Norte. Production, 22(3), 462-476. http://dx.doi.org/10.1590/S0103-65132012005000043.

Pingle, P. (2015). Selection of obsolescence resolution strategy based on a multi criteria decision model. Iowa, USA: Iowa State University. http://dx.doi.org/10.31274/etd-180810-4543.

Qorri, A., Mujkic, Z., & Kraslawski, A. (2018). A conceptual framework for measuring sustainability performance of supply chains. Journal of Cleaner Production, 189, 570-584. http://dx.doi.org/10.1016/j.jclepro.2018.04.073.

Ravi, V. (2015). Industrial Engineering and Management. Delhi, Índia: PHI Learning. Capstone.

Robinson, S. L. (2013). An environmental and economic trade-off analysis of manufacturing process chains to inform decision making for sustainability (Doctor thesis). University of California, Berkeley, USA. Retrieved in 2017, June 27, from http://escholarship.org/uc/item/1513r3t9#page-1

Saad, M. H., Nazzal, M. A., & Darras, B. M. (2019). A general framework for sustainability assessment of manufacturing processes. Ecological Indicators, 97, 211-224. http://dx.doi.org/10.1016/j.ecolind.2018.09.062.

Saaty, T. L. (1987). The analytic hierarchy process – What it is and how it is used. Mathematical Modelling, 9(3-5), 161-176. http://dx.doi.org/10.1016/0270-0255(87)90473-8. PMid:12312762.

Saaty, T. L. (2008). Decision making with the analytical hierarchy process. International Journal of Services Sciences, 1(1), 83-98. http://dx.doi.org/10.1504/IJSSCI.2008.017590.

Sari, E., Shaharoun, A. M., Ma’aram, A., & Yazid, A. M. (2015). Sustainable maintenance performance measures: a pilot survey in Malaysian automotive companies. Procedia CIRP, 26, 443-448. http://dx.doi.org/10.1016/j.procir.2014.07.163.

Sénéchal, O. (2017). Research directions for integrating the triple bottom line in maintenance dashboards. Journal of Cleaner Production, 142, 331-342. http://dx.doi.org/10.1016/j.jclepro.2016.07.132.

Singh, S., Olugu, E. U., & Musa, S. N. (2016). Development of sustainable manufacturing decision making models for small and medium enterprises. Procedia CIRP, 40, 608-613. http://dx.doi.org/10.1016/j.procir.2016.01.142.

Tan, C. H., & Hartman, J. C. (2010). Equipment replacement analysis with an uncertain finite horizon. IIE Transactions, 42(5), 342-353. http://dx.doi.org/10.1080/07408170903394363.

Teles, C. D., Dutra, C. C., Ribeiro, J. L. D., & Guimarães, L. B. M. (2016). Uma proposta para avaliação da sustentabilidade socioambiental utilizando suporte analítico e gráfico. Production, 26(2), 417-429. http://dx.doi.org/10.1590/0103-6513.0638T6.

Thanki, S., Govindan, K., & Thakkar, J. (2016). An investigation on lean-green implementation practices in Indian SMEs using analytical hierarchy process (AHP) approach. Journal of Cleaner Production, 135, 284-298. http://dx.doi.org/10.1016/j.jclepro.2016.06.105.

Trianni, A., Cagno, E., Neri, A., & Howard, M. (2019). Measuring industrial sustainability performance: Empirical evidence from Italian and German manufacturing small and medium enterprises. Journal of Cleaner Production, 229, 1355-1376. http://dx.doi.org/10.1016/j.jclepro.2019.05.076.

United Nations (2015a). Sustainable Development Goals. United Stations. Retrieved in 2017, September 20, from http://www.un.org/sustainabledevelopment/ sustainable-development-goals/

United Nations (2015b). Sustainable Development Goals. Goal 12: Ensure sustainable consumption and production patterns. United Stations. Retrieved in 2017, September 22, from http://www.un.org/sustainabledevelopment/sustainable-consumption-production/

Zhang, H., & Haapala, K. R. (2015). Integrating sustainable manufacturing assessment into decision making for a production work cell. Journal of Cleaner Production, 105, 52-63. http://dx.doi.org/10.1016/j.jclepro.2014.01.038.
 


Submitted date:
01/22/2019

Accepted date:
07/07/2020

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