A key concept in congruent organizational design is the so-called Strategic Grouping, which involves the aggregation of task functions, positions, and assets into units. Group technology has emerged as a manufacturing philosophy for improving productivity in batch production systems, while retaining the flexibility of a job shop production. In this paper, we propose a methodology to group tasks and assets into several clusters (DMs, command cells) which uses concepts from group technology and genetic algorithms to minimize the weighted total workload, measured in terms of intra-DM and inter-DM coordination workload. An outcome of strategic grouping is a near-optimal layout of the organization, i.e., the assignment of platforms to tasks and the patterns of coordination.