This paper focuses on the modeling of assembly supply chain (ASC) systems in order to establish a framework generating topological classes of ASCs. Subsequently, structural parameters of the networks levels are explored with the aim to generate all possible non-repeated ASC structures. In this paper, we also define several structural complexity metrics indicators, such as the index of vertex degree that is adopted from the Shannon's entropy theory as well as other pertinent complexity indicators. After the application of these indicators to ASC structures, we benchmark complexity indicators based on predefined criteria. Research results are especially applicable at the early configuration design stage to make a decision about a suitable networked manufacturing structure that will satisfy the production functional requirements and will make managerial tasks simpler and more cost effective.
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