This paper proposes a distributed approach for smart production management in a cellular manufacturing system offering mass-customized products. This approach is based on three decision levels: factory-level (master planning module), shop floor level (bidding system) dealing with unexpected events, and cell level. The approach integrates planning, scheduling, and material handling allocation while considering real-time data from the supply chain. A mathematical model for factory-level planning is proposed with two sequence-based resolution approaches implemented on two metaheuristics, NSGAII and SMPSO. These were tested on a numerical example after optimizing their parameters tuning.