In an era characterized by the rapid evolution of consumer preferences and diminishing product life cycles, the significance of reconfigurable manufacturing systems (RMS) has surged. For businesses, swiftly adapting to these fluctuating demands is imperative. Conjoint analysis has emerged as a prevalent method for capturing consumer preferences within market research. Subsequently, to delineate an optimal product-line that aligns with these preferences, product-line optimization strategies, such as profit maximization models, are employed. These models comprehensively consider various costs associated with the product line. RMS endeavors to minimize expenses, duration, waste, CO2 emissions, and other objectives within the production process through a multi-objective framework. This study introduces a novel approach by integrating a profit maximization model from product-line optimization with the cost function of RMS, facilitating a multi-objective optimization framework that adeptly accommodates customer preferences within RMS. While not aiming to delineate the Pareto frontier, this paper elucidates the potential implications of the new framework on the configuration of the Pareto frontier. Additionally, it provides a comprehensive overview of RMS applications in the automotive industry.