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A Combined AHP-TOPSIS Approach for Evaluating the Process of Innovation and Integration of Management Systems in the Logistic Sector

Part of the Lecture Notes in Computer Science book series (LNISA,volume 12427)

Abstract

Logistics is increasingly essential for the economy and social development. Statistics show incremental contributions in GDP, job creation, and in the movement of goods worldwide, connecting suppliers with companies and distributors and stimulating different economic sectors of manufacturing and services. However, the challenges of the logistics sector include optimizing its operations, reducing costs, and generating an offer of services with added values for its clients and interest groups. In this sense, innovation and management systems can support companies in the sector in the search for competitive advantages and operational efficiency aligned with corporate strategy and the environment. Different models and methodologies have been developed to work in an integrated way on innovation processes and management systems, with a focus on continuous improvement where evaluation and development are crucial to identifying the level of performance, gaps, and improvement strategies. Besides, the use of multi-criteria decision methodologies was identified in the scientific literature as an objective approach and easy to implement in companies, but of little application in the evaluation of innovation and the integration of management systems for the logistics sector. This paper presents the application of a combined multi-criteria decision-making methodology to evaluate the innovation process in conjunction with the integration of management systems used in the logistics sector. First, the Analytic Hierarchy Process AHP is applied to determine the weights of each criterion and sub-criterion through qualitative pair comparisons. Then, The Technique for Order of Preferences by Similarity to Ideal Solution (TOPSIS) is used to evaluate three big companies of the logistic sector considering their ability to develop the process of innovation under criteria associated with Integrated Management Systems (Quality, Environmental, Health, and Safety). A case study is presented to validate the combined approach.

Keywords

  • Analytical Hierarchy Process
  • AHP
  • Multicriteria decision making
  • MCMD
  • TOPSIS
  • Integrated management systems
  • Quality
  • Safety
  • Environment
  • Logistic sector
  • Performance evaluation

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References

  1. OECD: Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, The Measurement of Scientific, Technological and Innovation Activities. OECD Publishing, Paris (2015) https://doi.org/10.1787/9789264239012-en

  2. Santos, G., Afonseca, J., Murmura, F., Félix, M.J., Lopes, N.: Critical success factors in the management of ideas as an essential component of innovation and business excellence. Int. J. Qual. Serv. Sci. 3(3), 214–232 (2018)

    Google Scholar 

  3. Santos, G., et al.: Value creation through quality and innovation – a case study on Portugal. TQM J. 31(6), 928–947 (2019)

    CrossRef  Google Scholar 

  4. Hauser, C., Siller, M., Schatzer, T., Walde, J., Gottfried Tappeiner, G.: Measuring regional innovation: a critical inspection of the ability of single indicators to shape technological change. Technol. Forecast. Soc. Chang. 129, 43–55 (2018)

    CrossRef  Google Scholar 

  5. Zoo, H., de Vries, H.J., Lee, H.: Interplay of innovation and standardization: exploring the relevance in developing countries. Technol. Forecast. Soc. Chang. 118, 334–348 (2017)

    CrossRef  Google Scholar 

  6. Santos, G., Mendes, F., Barbosa, J.: Certification and integration of management systems: the experience of Portuguese small and medium enterprises. J. Clean. Prod. 19(17–18), 1965–1974 (2011)

    CrossRef  Google Scholar 

  7. Santos, D., Rebelo, M., Santos, G.: The integration of certified management systems. Case study – organizations located at the district of Braga, Portugal. Procedia Manuf. 13, 964–971 (2017)

    Google Scholar 

  8. UNE 166002. R&D&I Management: R&D&I Management System Requirements (2014)

    Google Scholar 

  9. Barbosa, L.C.F., Oliveira, O.J., Santos, G.: Proposition for the alignment of the integrated management system (quality, environmental and safety) with the business strategy. Int. J. Qual. Res. 12(4), 925–940 (2018)

    Google Scholar 

  10. Falak, J., Kunjan, M., Nagaraju, D., Narayanan, S.: Evaluation of continuous improvement techniques using hybrid MCDM technique under fuzzy environment. Mater. Today Proc.eedings 22(2020), 1295–1305 (2020)

    CrossRef  Google Scholar 

  11. Hung, Y.-H., Chou, S.-C.T., Tzeng, G.-H.: Knowledge management adoption and assessment for SMEs by a novel MCDM approach. Decis. Support Syst. 51(2), 270–291 (2011)

    CrossRef  Google Scholar 

  12. Ikrama, M., Sroufe, R., Qingyu, Z.: Prioritizing and overcoming barriers to integrated management system (IMS) Implementation using AHP and G-TOPSIS. J. Clean. Prod. 254(1), 120121 (2020). https://doi.org/10.1016/j.jclepro.2020.120121

    CrossRef  Google Scholar 

  13. Tseng, M.L., Chiu, A.: Grey-entropy analytical network process for green innovation practices. Procedia Soc. Behav. Sci. 57(9), 10–21 (2012)

    Google Scholar 

  14. Sadeghi, A.: Success factors of high-tech SMEs in Iran: A fuzzy MCDM approach. J. High Technol. Manage. Res. 29(1), 71–87 (2018)

    CrossRef  Google Scholar 

  15. Tseng, M., Lin, Y., Lim, M., Teehankee, B.: Using a hybrid method to evaluate service innovation in the hotel industry. Appl. Soft Comput. 28, 411–421 (2015)

    CrossRef  Google Scholar 

  16. De, D., Chowdhury, S., Dey, P., Ghosh, S.: Impact of lean and sustainability oriented innovation on sustainability performance of small and medium sized enterprises: a data envelopment analysis-based framework. Int. J. Prod. Econ. 219(2020), 416–430 (2020)

    CrossRef  Google Scholar 

  17. Jimenez-Delgado, G., Balmaceda-Castro, N., Hernández-Palma, H., de la Hoz-Franco, E., García-Guiliany, J., Martinez-Ventura, J.: An integrated approach of multiple correspondences analysis (MCA) and fuzzy AHP method for occupational health and safety performance evaluation in the land cargo transportation. In: Duffy, V.G. (ed.) HCII 2019. LNCS, vol. 11581, pp. 433–457. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22216-1_32

    CrossRef  Google Scholar 

  18. Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1), 83–98 (2008)

    Google Scholar 

  19. Tavana, M., Hatami-Marbini, A.: A group AHP-TOPSIS framework for human spaceflight mission planning at NASA. Expert Syst. Appl. 38, 13588–13603 (2011)

    Google Scholar 

  20. Ortiz, M., De Felice, F., Parra, K., Alemán, B., Yaruro, A., Petrillo, A.: An AHP-TOPSIS integrated model for selecting the most appropriate tomography equipment. Int. J. Inf. Technol. Decis. Making 15(4), 861–885 (2016)

    CrossRef  Google Scholar 

  21. Hernandez, L., Jimenez, G.: Characterization of the current conditions of the ITSA data centers according to standards of the green data centers friendly to the environment. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds.) CSOC 2017. AISC, vol. 574, pp. 329–340. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-57264-2_34

    CrossRef  Google Scholar 

  22. Saaty, T.L.: The Analytical Hierarchy Process. McGraw-Hill, New York (1980)

    Google Scholar 

  23. Julián Mayor, J., Botero, S., González, J.: Modelo de decisión multicriterio difuso para la selección de contratistas en proyectos de infraestructura: caso Colombia. Obras y Proyectos 20, 56–74 (2016)

    CrossRef  Google Scholar 

  24. Jato-Espino, D., Castillo-Lopez, E., Rodriguez-Hernandez, J., Canteras-Jordana, J.C.: A review of application of multi-criteria decision-making methods in construction. Autom. Constr. 45, 151–162 (2014)

    CrossRef  Google Scholar 

  25. Cannavacciuolo, L., Iandoli, L., Ponsiglione, C., Zollo, G.: An analytical framework based on AHP and activity-based costing to assess the value of competencies in production processes. Int. J. Prod. Res. 50(17), 4877–4888 (2012)

    CrossRef  Google Scholar 

  26. Ortiz-Barrios, M.A., Herrera-Fontalvo, Z., Rúa-Muñoz, J., Ojeda-Gutiérrez, S., De Felice, F., Petrillo, A.: An integrated approach to evaluate the risk of adverse events in hospital sector: From theory to practice. Manag. Decis. 56(10), 2187–2224 (2018). https://doi.org/10.1108/MD-09-2017-0917

    CrossRef  Google Scholar 

  27. Ortiz-Barrios, M.A., Kucukaltan, B., Carvajal-Tinoco, D., Neira-Rodado, D., Jiménez, G.: Strategic hybrid approach for selecting suppliers of high-density polyethylene. J. Multi-Crit. Decis. Anal. 24, 1–21 (2017). https://doi.org/10.1002/mcda.1617

    CrossRef  Google Scholar 

  28. Meesariganda, B.R., Ishizaka, A.: Mapping verbal AHP scale to numerical scale for cloud computing strategy selection. Appl. Soft Comput. 53, 111–118 (2017)

    CrossRef  Google Scholar 

  29. Ishizaka, A., Balkenborg, D., Kaplan, T.: Influence of aggregation and measurement scale on ranking a compromise alternative in AHP. J. Oper. Res. Soc. 62(4), 700–710 (2011). https://doi.org/10.1057/jors.2010.23

    CrossRef  Google Scholar 

  30. Hwang, C.L., Yoon, K.P.: Multiple attributes decision making methods and applications. Springer-Verlag, Berlin (1981). https://doi.org/10.1007/978-3-642-48318-9

    CrossRef  MATH  Google Scholar 

  31. Renato, A., Krohling, R., Pacheco, A.: A-TOPSIS – an approach based on TOPSIS for ranking evolutionary algorithms. Procedia Comput. Sci. 55, 308–317 (2015)

    Google Scholar 

  32. Mao, N., Song, M., Pan, D., Deng, S.: Comparative studies on using RSM and TOPSIS methods to optimize residential air conditioning systems. Energy 144, 98–109 (2018)

    CrossRef  Google Scholar 

  33. Santos, G., Mandado, E.: Technological and quality differences between North and Southern European Countries. In: Proceedings 19th QMOD-ICQSS International Conference on Quality and Service Sciences, 21–23 September. University of Roma Tre, Rome, Italy (2016). ISBN 978-91-7623-086-2

    Google Scholar 

  34. Santos, G., Engenharia, P.T.: Uma via verde para o desenvolvimento tecnológico e económico de Portugal. Vida Económica Publisher, Oporto (2014)

    Google Scholar 

  35. Félix, M., Gonçalves, S., Jimenez, G., Santos, G.: The contribution of design to the development of products and manufacturing processes in the portuguese industry. Procedia Manuf. 41, 1055–1062 (2019)

    CrossRef  Google Scholar 

  36. Bravi, L., Murmura, F., Santos, G.: Manufacturing labs: where new digital technologies help improve life quality. Int. J. Qual. Res. 12(4), 957–974 (2018)

    Google Scholar 

  37. Jimenez, G., Novoa, L., Ramos, L., Martinez, J., Alvarino, C.: Diagnosis of initial conditions for the implementation of the integrated management system in the companies of the land cargo transportation in the city of Barranquilla (Colombia). In: Stephanidis, C. (ed.) HCI 2018. CCIS, vol. 852, pp. 282–289. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92285-0_39

    CrossRef  Google Scholar 

  38. Jimenez, G., Zapata, E.: Metodología integrada para el control estratégico y la mejora continua, basada en el Balanced Scorecard y el Sistema de Gestión de Calidad: aplicación en una organización de servicios en Colombia. In: 51a Asamblea Anual del Consejo Latinoamericano de Escuelas de Administración CLADEA 2016, Medellín, Colombia, pp. 1–20 (2016)

    Google Scholar 

  39. Jimenez, G., Hernandez, L., Hernandez, H., Cabas, L., Ferreira, J.: Evaluation of quality management for strategic decision making in companies in the plastic sector of the Colombian Caribbean region using the TQM diagnostic report and data analysis. In: Stephanidis, C. (ed.) HCI 2018. CCIS, vol. 852, pp. 273–281. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92285-0_38

    CrossRef  Google Scholar 

  40. Jimenez, G.: Procedimientos para el mejoramiento de la calidad y la implantación de la Norma ISO 9001 aplicado al proceso de asesoramiento del Centro de Investigaciones y Desarrollo Empresarial y Regional en una Institucion de Educación Superior basados en la gestión por procesos. In: Congreso de Gestión de la Calidad y Protección Ambiental GECPA 2014, Habana, Cuba, pp. 1–22 (2014)

    Google Scholar 

  41. Sá, J.C., Amaral, A., Barreto, L., Carvalho, F., Santos, G.: Perception of the importance to implement ISO 9001 in organizations related to people linked to quality-an empirical study. Int. J. Qual. Res. 13(4), 1055–1070 (2019)

    CrossRef  Google Scholar 

  42. Azevedo, J., et al.: Improvement of production line in the automotive industry through lean philosophy. Procedia Manuf. 41, 1023–1030 (2019)

    CrossRef  Google Scholar 

  43. Jimenez, G., et al.: Improvement of productivity and quality in the value chain through lean manufacturing – a case study. Procedia Manuf. 41, 882–889 (2019)

    CrossRef  Google Scholar 

  44. Jimenez, G., Santos, G., Félix, M., Hernández, H., Rondón, C.: Good practices and trends in reverse logistics in the plastic products manufacturing industry. Procedia Manuf. 41, 367–374 (2019)

    CrossRef  Google Scholar 

  45. Santos, G., Doiro, M., Mandado, E., Silva, R.: Engineering learning objectives and computer assisted tools. Eur. J. Eng. Educ. 44(4), 616–628 (2019)

    CrossRef  Google Scholar 

  46. Hernandez, L., Jimenez, G., Baloco, C., Jimenez, A., Hernandez, H.: Characterization of the use of the internet of things in the institutions of higher education of the city of Barranquilla and its metropolitan area. In: Stephanidis, C. (ed.) HCI 2018. CCIS, vol. 852, pp. 17–24. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92285-0_3

    CrossRef  Google Scholar 

  47. Silva, J., et al.: Factors affecting the big data adoption as a marketing tool in SMEs. In: Tan, Y., Shi, Y. (eds.) DMBD 2019. CCIS, vol. 1071, pp. 34–43. Springer, Singapore (2019). https://doi.org/10.1007/978-981-32-9563-6_4

    CrossRef  Google Scholar 

  48. Talapatra, S., Santos, G., Uddin, K., Carvalho, F.: Main benefits of integrated management systems through literature review. Int. J. Qual. Res. 13(4), 1037–1054 (2019)

    CrossRef  Google Scholar 

  49. Santos, G., Rebelo, M., Barros, S., Silva, R., Pereira, M., Lopes, N.: Developments regarding the integration of the occupational safety and health with quality and environment management systems. In: Kavouras, I.G., Chalbot, M.C.G. (eds.) Occupational Safety and Health, pp. 113–146. Nova Science, New York (2014). ISBN 978-1-63117-698-2

    Google Scholar 

  50. Araújo, R., Santos, G., da Costa, J.B., Sá, J.C.: The quality management system as a driver of organizational culture: an empirical study in the Portuguese textile industry. Qual. Innov. Prosperity 23(1), 1–24 (2019)

    CrossRef  Google Scholar 

  51. Santos, G., Sá, J.C., Oliveira, J., Ramos, D.G., Ferreira, C.: Quality and safety continuous improvement through lean tools. In: Lean Manufacturing: Implementation, Opportunities and Challenges, pp. 165–188 (2019)

    Google Scholar 

  52. Bravi, L., Murmura, F., Santos, G.: The ISO 9001: 2015 quality management system standard: companies’ drivers, benefits and barriers to its implementation. Qual. Innov. Prosperity 23(2), 64–82 (2019)

    CrossRef  Google Scholar 

  53. Castro, C., Pereira, T., Sá, J.C., Santos, G.: Logistics reorganization and management of the ambulatory pharmacy of a local health unit in Portugal 80, 101801 (2020). https://doi.org/10.1016/j.evalprogplan.2020.101801

    CrossRef  Google Scholar 

  54. Santos, G., Bravi, L., Murmura, F.: Attitudes and behaviours of Italian 3D prosumer in the Era of Additive Manufacturing. Procedia Manuf. 13, 980–986 (2017)

    CrossRef  Google Scholar 

  55. Santos, G., Murmura, F., Bravi, L.: Developing a model of vendor rating to manage quality in the supply chain. Int. J. Qual. Serv. Sci. 11(1), 34–52 (2019)

    Google Scholar 

  56. Ferreira, N., Santos, G., Silva, R.: Risk level reduction in construction sites: towards a computer aided methodology – a case study. Appl. Comput. Inf. 15(2), 136–143 (2019)

    Google Scholar 

  57. Gonçalves, I., Sá, J.C., Santos, G., Gonçalves, M.: Safety stream mapping—a new tool applied to the textile company as a case study. Stud. Syst. Decis. Control 202, 71–79 (2019). https://doi.org/10.1007/978-3-030-14730-3_8

    CrossRef  Google Scholar 

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Acknowledgments

The authors would like to thank the support of the logistic companies participants and the Institucion Universitaria ITSA.

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Correspondence to Gilberto Santos .

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Jiménez-Delgado, G., Santos, G., Félix, M.J., Teixeira, P., Sá, J.C. (2020). A Combined AHP-TOPSIS Approach for Evaluating the Process of Innovation and Integration of Management Systems in the Logistic Sector. In: , et al. HCI International 2020 – Late Breaking Papers: Interaction, Knowledge and Social Media. HCII 2020. Lecture Notes in Computer Science(), vol 12427. Springer, Cham. https://doi.org/10.1007/978-3-030-60152-2_40

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