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The dissemination of sensor network infrastructures as well as the broad application of positioning and automatic identification technologies enables a complete monitoring of business processes in supply chains. Yet, a method and a support infrastructure which allow specifying business process related monitoring requirements in a computation independent manner is still missing. We present the architectural design of such a support infrastructure. Modeling monitoring requirements on a computation independent level is favorable because it also permits non-technical personnel to specify monitoring logic concerning business objects and business process functions. Moreover, business process models containing additional monitoring logic are considered to be complex and difficult to maintain. It is valuable to design models of monitoring logic as separate modules in order to enhance clarity of business process models and enable reusability of monitoring logic. We propose a method utilizing model-driven software development in order to implement and maintain supply chain monitoring applications. Starting from a computation independent model of a business process and a model containing monitoring logic, we apply model merging techniques and model-to-model transformations to combine the models and refine them to an executable model.