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Return multi sourcing lot-sizing problem in a hybrid manufacturing / remanufacturing system under carbon emission constraint

机译:在碳排放约束下返回混合制造/再制造系统中的多源批量问题

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Owing to Environmental consciousness, the returned products/ treatment becomes a crucial issue. Returns treatment becomes an economical way that helps industries to minimize costs and to reduce energy usage. Along the same lines, the lot sizing problem in systems incorporating products treatment options or remanufacturing returns attracts more interest from industries and the researchers. In the present study, we discuss lot sizing problem in systems incorporating remanufacturing with returns multi sourcing option under a carbon emission constraint. The system studied is a single production line where both regular production and remanufacturing process are carried out, with different set up costs for each operation. We consider a returns collection phase from a certain number of customers / distributors with a deterministic returns quantity in each period of the planning horizon. In this paper, we propose a mathematical model for the problem, an adaptation of the well-known Silver and Meal (SM) and two versions of a hybrid method (HM1 & HM2) providing an approximate solution to the addressed problem. The mathematical model was tested on Cplex (Software optimizer), and the obtained results were compared with the ones provided by the adapted heuristic SM and the hybrid methods. The analysis of the results showed that hybrid methods provide good quality solutions in a moderate computational time.
机译:由于环境意识,退回的产品/治疗成为一个至关重要的问题。退货治疗成为一种经济的方式,有助于行业尽量减少成本并降低能源使用情况。沿着同一条线,融合产品治疗选项或再制造回报的系统中的批量问题吸引了来自行业和研究人员的更多兴趣。在本研究中,我们讨论了在碳排放约束下加入再制造的系统中的批量尺寸问题。研究的系统是单一生产线,其中进行常规生产和再制造过程,每个操作都有不同的设定成本。我们考虑从一定数量的客户/分销商处返回收集阶段,在规划地平线的每个时段中具有确定性返回的数量。在本文中,我们提出了一个问题的数学模型,适应了众所周知的银和膳食(SM)和两个杂种方法(HM1和HM2)的两个版本,为解决问题提供近似解。在CPLEX(软件优化器)上测试了数学模型,并将获得的结果与由适应的启发式SM和混合方法提供的结果进行比较。结果分析表明,混合方法在适度的计算时间内提供良好的质量解决方案。

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