Abstract
Highlights: The product development methodology aims to assist the planning and design of the product throughout its life cycle. Using selection criteria it is possible to choose a solution will be followed until the end of the development process and this process is known as optimization of product solutions. Design for Manufacturing and Assembly (DFMA) is an approach that allows selecting a product solution with better manufacturing and assembly performance. Computational modeling allows representing systems in virtual environment in order to reproduce its characteristics and to compare scenarios through simulation.
 Goal: The objective of this work was to apply the computer simulation to compare the productive performance, according to production times, productivity and resource utilization rate, of three solutions proposed for a raincoat for pets with thermal protection.
 Methodology: Initially, conceptual models representing the production systems for the three product solutions were generated. The systems were modeled in discrete event simulation software, enabling different scenarios testing, resulting in production performance indicators for each product solution.
 Results: The analysis of the performance indicators allow identifying that the third solution proposed for the product obtained the best productive performance in all proposed scenarios; therefore, it was chosen as the best solution for the product according to the DFMA approach.
 Limitations of the investigation: The application of the methodology indicated in this work was limited to the study of a single productive system of a specific product.
 Practical implications: This work presents a practical application of computer simulation tools applied to product development.
 Originality / Value: The original contribution of this work is the application of computational simulation of production systems in product development following the DFMA approach.
Highlights
IntroductionModeling and computational simulations, according to Chwif and Medina (2015), allow analyzing scenarios and understanding relations without interfering in the real system, and are used to evaluate the performance of productive systems through indicators
The objective of this work is to compare the productive performance of the three proposed alternatives through computational modeling and simulation, generating information to enable the choice of the best solution according to the Design for Manufacturing and Assembly (DFMA) approach
This work aimed to apply the computational simulation to compare the productive performance of three solutions proposed for a product raincoat with thermal protection
Summary
Modeling and computational simulations, according to Chwif and Medina (2015), allow analyzing scenarios and understanding relations without interfering in the real system, and are used to evaluate the performance of productive systems through indicators. In this context, and aiming to find an alternative to develop an innovative product, a research was conducted on consumer markets, in the pet market, which is a fast growing market, as presented by Exame magazine (2016). In order to develop a product that meets the requirements of sustainable design, a market research was conducted. This research considered the reutilization of materials, recycling, and usage of materials that may represent an environmental threat to postpone the end of its useful life
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