Proposição de um método para a sincronização da produção em empresas da indústria calçadista no segmento esportivo

Abstract

This dissertation was developed against the backdrop of the need to improve production synchronization in companies in the footwear industry. Initially, the various production scheduling methods were examined with a view to their applicability in companies in general, and in companies in the footwear industry, in particular. In this sense, the study provided an important academic contribution by providing a comparative model of existing programming methods, helping to select the method most appropriate to the needs of companies. From the perspective of the empirical development of the research, the DBR method was selected due to the characteristics of the type of company treated, which involve the production of a varied range of articles, with intensive use of personnel and high production volume. However, the first application of DBR did not achieve the desired results of combining a good level of synchronization and high efficiency in the use of personnel. Then, supported by the Design Research research method, a production scheduling method entitled Method M0 was proposed and developed. Subsequently, based on the practical application of M0 in a footwear company, a critical analysis of the results obtained was carried out, and a set of opportunities for improvements were observed. From there, the M1 programming method was designed and developed. Method M1, the most relevant result of the dissertation, is composed of six main steps: (i) identification of the production network and development of the adherence indicator; (ii) definition of the restriction; (iii) establishment of prioritization parameters; (iv) application of parameters to define production; (v) priority management; and (vi) planning management. Each step was meticulously detailed and implemented in the footwear company used as a laboratory for the development of the M1, resulting in significant improvements in production adherence rates and better compliance with planned deadlines, as well as a reduction in the operational costs involved.