考量碳排放量、成本与前置时间于再制造系统之批量决策

Abstract

本研究考量新料与回收料混合之再制造系统，并建构一个可能性线性规划模式，提供于可回收再制造系统之模糊环境进行生产决策。模式中考量多零组件、多供应商、多回收商、多料源及多机台等因素。系统中的相关参数是具模糊性，模糊参数可用梯形与三角形可能性分配来表示。本研究应用模糊理论与可能性线性规划来表示目标函数、需求量及二氧化碳排放量的不确定性。我们也提出一个决策模式于可回收再制造系统，模式中考量新料与回收料的混合、物料供应商的采购、二氧化碳的排放量及机台良率等限制，达到最小总成本、前置时间及二氧化碳排放量的目标。此外，我们提出一个模糊目标函数和目标限制式的求解程序，为验证模式的正确性，我们以一个实务案例之数值进行测试，研究结果和建议是适合于生产计画使用。

This work uses new and recoverable materials to mix into the remanufacturing systems. It implements a possibilistic linear programming model to provide aid in making production decisions in recyclable remanufacturing systems subject to a fuzzy environment which includes multi-component, multi-vendor, multi-source and multi-machine factors. When the related parameters are imprecise in the systems, both the trapezoidal and triangular possibility distributions are used. This work applies fuzzy theory and possibility linear programming to set the objective function, demand and CO_2 emission uncertainty. We propose a decision making model to consider the procurement of raw materials, new materials and recycled materials mixed into the remanufacturing systems with reference to the restrictions of supplier/vendor capacity, CO_2 emissions and machine yield in order to minimize total cost, lead-time and CO_2 emissions. In addition, we propose a procedure for solving the fuzzy objective functions and fuzzy constraints. To test the adequacy of model, we use a numerical example from a real case study. The results and suggestions can provide a feasible situation for production planning.