Collaborative Assembly Sequence Planning (CASP) based on data analysis for On-site Installation Products

Abstract

Abstract For the manufacture of significantly repetitive products that require assembly, different strategies have been proposed to improve times, the use of resources, and the reduction of associated costs. For this purpose, there are many documented methodologies that point to method and time studies, reduction of the number of components or the complexity of the assembly as the \acrfull{DFA}, sequence analysis with \acrfull{ASP}, Bourjault, and/or graphs, among others.In the case of products that require to be assembled at the site where they will operate, manufacturing in a fixed position, and of which several assemblies will be performed in different places, the execution of these has been done, almost always, in an intuitive way, that is, solving on the fly, starting from common sense and accumulating parts. The existing literature has limited information on the methods developed for assembly with these characteristics.This study presents a new methodology of sequence generation called \acrfull{CASP} for the on-site installation of a product in which, the criteria and knowledge of a group of engineers are considered, helping to identify the assembly operations, the sequences, the arrangement and allocation of resources and tasks for the development of the assembly.Additionally, this methodology is verified in a case study applied to a photovoltaic charging station, for which a feasible, effective, detailed, and structured assembly sequence was collaboratively generated for the assembly of such a product. The results show the applicability of the \Gls{CASP} methodology and suggest that it could be applied in other complex product assembly contexts requiring on-site assembly.