With the ever increasingly competitive and changing markets, the dependencies and relationships between market components are becoming more and more important. In the past, organisations have focused on making effective decisions within a department or section of a company because their functions could be easily de-coupled and this made analysis simpler. However, ignoring the component dependencies for the sake of simplicity can have costly consequences for the company and other organisations outside on the market. Today there are still a number of reasons that hinder the development of fully integrated business processes, as for example the lack of understanding of the complexity of the organisations and the high cost of acquiring and translating organisational and engineering data. The economic advantage of studying and improving these issues is considerable. This contribution describes an on-going effort in developing an integrated framework for supporting supply chain management of process industries. Retailers, warehouses, plants and raw material suppliers are modelled as a network of co-operative agents, each performing one or more supply chain functions. Interactions between agents are made through the common agent communication language knowledge query message language (KQML) and data is modelled using standard exchange of product model data (STEP).