首页> 外文会议>System Dynamics Society International Conference; System Dynamics Society Anniversary Celebration; 20070729-0802; 20070729-0802; Boston,MA(US); Boston,MA(US) >Beyond rounding up the usual suspects: Towards effective quality management policies for production ramp-ups in high-tech supply chains
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Beyond rounding up the usual suspects: Towards effective quality management policies for production ramp-ups in high-tech supply chains

机译:除了对通常的嫌疑人进行围捕之外:制定有效的质量管理政策,以提高高科技供应链中的产量

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This study investigates the issue of managing quality during production ramp-ups in high-tech supply chains. It combines an in-depth case study of one particular high-tech supply chain setting with insights from the recently-emerging literature on behavioral operations and synthesizes these two into a system dynamics simulation model.Model analysis suggests that isolated and intuitively appealing quality management policies are likely to lead to suboptimal or even detrimental results. Of crucial importance is finding the balance between ramping up production rates sufficiently fast to capture short-lived market demand and avoiding to increasing production starts so high that workload levels in the supply chain move beyond the tipping point. This means that when workloads become too high, the entire supply chain can get bogged down in a vicious cycle of high workloads leading to low quality levels, which lead to high rework levels and hence to even higher workloads.Especially promising policies to be used in combination are, firstly, moderate production ramp-up rates that turn out to generate more timely output than overly aggressive production ramp-ups. Secondly, policies that leverage the expertise that can be gained from analyzing defective units that cannot be repaired easily downstream, as these may yield especially valuable knowledge regarding hidden quality issues in upstream manufacturing operations. Other measures such as installing quality gates or superior error detection equipment are found to be ineffective or even detrimental for improving supply chain performance.
机译:这项研究调查了高科技供应链中生产加速过程中质量管理的问题。它结合了对一个特定高科技供应链设置的深入案例研究,并结合了最近关于行为操作的新见解,并将这两者综合为一个系统动力学仿真模型。模型分析表明,孤立且直观的质量管理策略具有吸引力可能导致次优甚至有害的结果。至关重要的是,要找到足够的平衡以提高生产率以捕捉短暂的市场需求,同时又要避免增加产量,以至于供应链中的工作量水平超过临界点。这意味着,当工作量变得过高时,整个供应链可能陷入高工作量的恶性循环中,从而导致质量水平低下,从而导致较高的返工水平,从而导致更高的工作量。首先,温和的生产增长速度比过度激进的生产增长更及时地产生产出。其次,利用可以通过分析无法在下游轻松修复的缺陷单元而获得的专业知识的策略,因为这些策略可能会产生有关上游制造操作中隐藏的质量问题的特别有价值的知识。发现其他措施(例如安装质量门或高级错误检测设备)对改善供应链绩效无效或什至有害。

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