Abstract
Assembly Sequence Planning (ASP) plays a fundamental role in estimating assembly resources since having a precise and identified amount of associated data will provide a more approximate vision of the on-site assembly and commissioning of the product. This would allow for optimal assembly work and cost reduction through better use of resources such as time, personnel, and equipment. Expert staff usually carry out ASP, making decisions based on experience and previous knowledge of the product and the manufacturing context. This article presents a collaborative procedure for the generation of assembly sequences of a case study of a renewable energy project through geometrical reasoning and logical reasoning with information related to sub-assemblies, constraints, limitations, and information on the precedence of sub-components. This approach allows for determining how this information influences the designation of resources (human and machinery) and cost and time estimation associated with each assembly task.

Keywords
Assembly, assembly sequence planning, solar charging station, metadata, renewable energy

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