Abstract
This work develops a possibilistic programming method to solve multi-product and multi-time period production/distribution planning decision (PDPD) problems involving imprecise goals, forecast demand and cost/time coefficients in uncertain environments. The proposed method attempts to simultaneously minimize total production and distribution costs and total delivery time in relation to inventory levels, available machine capacity and labor levels at each source, as well as forecast demand and available warehouse space at each destination, and considering the constraint of available budget. An industrial case is used to demonstrate the feasibility of applying the proposed method to real-world PDPD problems. Moreover, several significant management implications regarding the practical application of the proposed method are presented.