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A fuzzy lot-sizing problem with two-stage composite human learning

机译：具有两阶段复合人类学习的模糊批量问题

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Due to the repetitive nature of inventory planning over the planning horizon, the operator in charge has to perform planning tasks repetitively, and consequently s/he becomes more familiar with the tasks over time. Familiarity with the tasks suggests that learning takes place in inventory planning. Even though the operator's learning over time might improve his/her efficiency, prior research on fuzzy lot-sizing problems mostly overlooked the effect of human learning in their models and its impact on the operator's performance. To close the research gap in this area, this paper models the operator's learning in a fuzzy economic order quantity model with backorders. The paper models a situation where the operator applies the acquired knowledge over the cycles in setting the fuzzy parameters at the beginning of every planning cycle, where his/her learning ability includes the cognitive and motor capabilities of a human being. Subsequently, a mathematical model which takes account of a two-stage human learning over the planning cycles is developed, which is then analytically investigated using sample data-sets. The results indicate that both operator's capabilities, cognitive and motor, affect the efficiency of the fuzzy lot-sizing inventory model, but the influence of the cognitive capability is more profound, which in turn suggests the importance of training programmes for the workforces. The results of the sensitivity analysis also draw some managerial insights for the case that some model parameters vary over the planning horizon.
机译：由于在计划范围内库存计划的重复性质，负责的操作员必须重复执行计划任务，因此他/他随着时间的推移变得更加熟悉任务。熟悉任务表明学习是在库存计划中进行的。即使操作员随着时间的推移学习可能会提高他/她的效率，但先前对模糊批量问题的研究大多忽略了模型中人为学习的影响及其对操作员绩效的影响。为了弥补这一领域的研究空白，本文在带有延期交货的模糊经济订单数量模型中对运营商的学习进行建模。本文对以下情况进行了建模：操作员在每个计划周期的开始设置周期中的模糊参数时应用所获得的知识，其中他/她的学习能力包括人类的认知能力和运动能力。随后，开发了一个数学模型，该模型考虑了计划周期内的两阶段人类学习，然后使用样本数据集进行分析研究。结果表明，操作员的能力（认知能力和运动能力）都影响模糊批量库存模型的效率，但是认知能力的影响更为深远，这反过来提示了对劳动力进行培训计划的重要性。对于某些模型参数在整个计划范围内变化的情况，敏感性分析的结果也得出了一些管理上的见解。

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