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A decision support to assign mould due date at customer enquiry stage in computer-integrated manufacturing (CIM) environments

机译:在计算机集成制造(CIM)环境中的客户查询阶段提供模具到期日期的决策支持

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摘要

Achieving better delivery reliability performance is crucial for mould industry. Due date (DD) assignment at customer enquiry stage has a large influence on the kind of performance. This paper focuses on estimating the feasible production lead times of the new arriving mould orders that could be used as a decisional support during DD quoting, given the total workload already in the system at a decision time. An uncertain parameter model firstly addresses the uncertainties in the underlying problem using a discrete time Markov chain, which can obtain the initial probability distribute of the completion date of each new order. Such a model has not been addressed previously in related literature. Then, a mould progress evolution approach with limited capacity checks each realising track contained in the initial probability distribute to meet various capacity limitations. The expectation value of the checked distribute is the estimation value of the completion time of the examining order. The application examples illustrate possible applications of the approach. Further, the simulation experiments-based comparison of the proposed approach with two benchmarks adopted commonly in the real-world mould production is provided, and the results are promising as compared to benchmark decision rules.
机译:实现更好的交付可靠性性能对于模具行业至关重要。客户查询阶段的到期日(DD)分配对绩效类型有很大影响。考虑到决策时系统中已经存在的总工作量,本文着重于估计新到达的模具订单的可行生产提前期,这些订单可以用作DD报价期间的决策支持。不确定参数模型首先使用离散时间马尔可夫链解决潜在问题中的不确定性,该离散时间马尔可夫链可以获得每个新订单完成日期的初始概率分布。先前在相关文献中未解决这种模型。然后,使用有限能力的模具进度演变方法检查初始概率分布中包含的每个实现轨迹,以满足各种能力限制。被检查的分布的期望值是检查订单的完成时间的估计值。应用示例说明了该方法的可能应用。此外,提供了基于仿真实验的提议方法与现实世界模具生产中通常采用的两个基准的比较,并且与基准决策规则相比,结果令人鼓舞。

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