Manufacturing/re-manufacturing facility location and allocation systems have attracted many researchers and manufacturers because of globalisation, increasing competition, technological advancement and reduced product life cycle. In this paper, a multi-stage, multi-product capacitated closed-loop supply chain (CLSC) network is proposed with an objective to optimise the total supply chain cost. The network also includes reuse, reprocessing and disposal of parts. Customer demands and returns are fluctuating, thereby causing an uncertain environment. To handle the uncertain parameters, a scenario-based mixed integer linear programming was developed and implemented in a cartridge manufacturing industry. Scenarios were framed by changing the demand, return rate, reprocessing rate, reassembling rate and disposal rate. Totally, 125 scenarios were analysed and effect on the percentage change in total cost was studied. The model is solved using CPLEX, an optimisation tool. Computational properties and complexities in solving the problems are studied. Some insights are provided for the model based on different scenarios. [ABSTRACT FROM AUTHOR]