Today, due to intense global competition, manufacturing systems need to be highly responsive and adaptive to fulfill market demand fluctuations and personalized production. Reconfigurable manufacturing system (RMS) is one of the main paradigms which has been introduced to overcome the dynamic nature of today’s industry. In addition, RMSs are also a basis to develop new generation of sustainable production systems. This paper addresses the problem of designing a scalable manufacturing line for a part family considering both cost- and energy-effectiveness criteria. Hence, a bi-objective mathematical programming model is proposed. The main decision is to configuration and/or reconfiguration of pro-duction line by adding a set of new machines from a list of candidate reconfigu-rable machine tools (RMTs) and/or transforming them among the stages to fulfill anticipated demands in the periods of a time horizon. A numerical example is solved to illustrate the validation of the model. CPLEX is utilized to implement an augmented epsilon constraint method to extract Pareto front. The results show that different strategies in configuration the production line have significant im-pact on cost- and energy-effectiveness criteria.