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Meeting highly variable product demands in a cost-efficient manner is an essential task for the chemical industry. Small-scale, modular, and mobile production units allow for a more agile response to spacial and temporal changes in demand while reducing the need of building new units. In this work, we present a generic mixed-integer linear programming (MILP) framework for determining optimal location and relocation of mobile production modules given time-varying demands. We introduce a new metric, the value of module mobility, to quantify the economic benefits of mobile production modules, and we demonstrate how it changes as a function of various economic parameters. Moreover, multiple different solution methods are developed to solve large instances of this dynamic modular and mobile facility location problem. First, we reformulate the original MILP by adding auxiliary variables which track the …