In　this　paper,　a　comprehensive　optimization　problem　is　developed　for　a　composite　of　an　assembly　line　reconfiguration　problem　with　multiple　lines　and　a　capacitated　lot-sizing　problem.　Multiple　products　are　considered,　whose　demand　is　uncertain　and　is　dynamically　forecasted.　The　production　planner　is　assumed　to　be　risk-averse,　and　decisions　are　made　contingent　upon　the　risk　preference.　To　model　the　problem,　a　stochastic　program　with　two　stages　is　utilized.　A　solution　approach　is　devised　using　a　divide-and-conquer　algorithm,　which　incorporates　a　set　of　valid　inequalities.　The　effectiveness　and　efficiency　of　the　proposed　solution　approach　are　assessed　through　a　series　of　computational　tests.　Finally,　a　case　study　focusing　on　an　engine　production　process　is　presented,　leading　to　the　derivation　of　several　valuable　insights.