This chapter discusses the Just in Time (JIT) manufacturing tool, analyzing its concept and evolution, its importance, and the benefits it offers when implemented correctly, as well as the barriers that are faced when putting it into practice. Similarly, some basic activities that must be considered at the time of implementation are indicated. In addition, a bibliometric review of the JIT concept in the industry is conducted, identifying the authors, institutions, and countries that generate the most scientific papers or are most cited. Finally, a structural equation model was presented to quantify the relationship between JIT and social and environmental sustainability. The results were validated with information from 411 responses to a survey applied to the Mexican maquiladora industry, and the direct effects were estimated to validate the three established hypotheses. Finally, a sensitivity analysis of the model is reported, in which the probabilities of the analyzed variables occurring in isolation, jointly, and conditionally are reported.

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Just in Time (JIT)

  • Jorge Luis García Alcaraz,
  • José Roberto Díaz Reza,
  • Arturo Realyvásquez Vargas

摘要

This chapter discusses the Just in Time (JIT) manufacturing tool, analyzing its concept and evolution, its importance, and the benefits it offers when implemented correctly, as well as the barriers that are faced when putting it into practice. Similarly, some basic activities that must be considered at the time of implementation are indicated. In addition, a bibliometric review of the JIT concept in the industry is conducted, identifying the authors, institutions, and countries that generate the most scientific papers or are most cited. Finally, a structural equation model was presented to quantify the relationship between JIT and social and environmental sustainability. The results were validated with information from 411 responses to a survey applied to the Mexican maquiladora industry, and the direct effects were estimated to validate the three established hypotheses. Finally, a sensitivity analysis of the model is reported, in which the probabilities of the analyzed variables occurring in isolation, jointly, and conditionally are reported.