Traditional studies on long-range planning and process debottlenecking mainly focus on the net present value of production process only

by using the MILP/MINLP approaches.However

MILP/MINLP approaches are lack of flexibility to solve multi-objective problems with sustainability being considered. Moreover

process debottlenecking and investment evaluation are executed as two separate processes.In this paper

a supply chain long range planning and investment decision making system is proposed for supply chain debottlenecking and investment decision making simultaneously with sustainability being considered.At first

a hierarchical structure of investment evaluation and decision making system is set up under three strategic objectives-enterprise benefits

social benefits and customer benefits. Secondly

the relative weights of various qualitative and quantitative elements in the hierarchical structure are evaluated by using the analytical hierarchy process (AHP).Thirdly

a multi-objective multi-period mixed integer nonlinear programming model is formulated to streamline the operations and suggest design modifications that will improve the efficiency and sustainability of the supply chain. It can be utilized to anticipate the impact of market changes and introducing new unit process

thus supply chain bottlenecks can be identified and debottlenecking actions can be recommended.Finally

goal programming is utilized to solve the multi-objective multi-period mixed integer nonlinear programming model and optimized investment project or coupled projects are selected. The application of this integrated system is illustrated by a practical example.