Multi-facility capacity expansion in R&D projects

Abstract This paper considers capacity expansion decisions for accommodating different types of R&D activities which require time-varying areas during a given time horizon. The forecasted area needed by each activity can be met by new construction and/or by conversion of existing constructions. The problem involves sizing and scheduling of capacity expansions and conversions at discrete points in time at minimum cost. A hierarchical bottom-up procedure is used to solve the problem, the best results being further evaluated through a systematic multicriteria approach. It is recommended that the relevant information supplied by the active conversions set in the least costs solutions be translated into improved building flexibility.