Optimización de los procesos fabriles en la empresa M&S Seguridad Industrial

Abstract

This investigative work proposes a redistribution of facilities of the company M&S Seguridad Industrial, whose economic activity is the elaboration of different types of leather gloves, a proposal that represents an economic saving for the company and of great utility by allowing to investigate, find out and evaluate the main factors that affect the performance and productivity of the company, mainly focusing on the distances traveled that exist in each area or department. For the elaboration of this project, the following stages are considered: the gathering of the information of the current productive process of the company, knowing the departments, areas, machines and equipment that they use, carrying out a study of times, application of techniques of distribution of facilities based on the SLP and WinQSB methodology and decision-making based on a cost and route analysis comparing the best alternatives that these methodologies offer us. For the information gathering and time study, an ABC diagram is previously used to obtain the product with the highest demand, so that the investigation continues using the company's synoptic and analytical course charts. Next, the SLP methodology is developed for the generation of distribution alternatives, which uses a qualitative vision of the existing problem within the facilities; For the evaluation of the alternatives, the load distance method was used, allowing a more technical result to be obtained. Likewise, with the help of the WinQSB program, a second distribution alternative is obtained taking into account the physical restrictions (cost analysis) of the company. Finally, distribution alternatives are obtained for the company M&S Seguridad Industrial applying the SLP methodology and the WinQSB software, so that the alternative with the shortest distance will be the best since it generates a much lower cost of material movement. In addition, a proforma of quantities and prices is generated that must be adapted to the new proposed distribution.