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首页> 外文期刊>Applied Mathematical Modelling >Order acceptance/rejection policies in determining the sequence in mixed model assembly lines
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Order acceptance/rejection policies in determining the sequence in mixed model assembly lines

机译：确定混合模型装配线中的顺序时的订单接受/拒绝策略

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摘要

This study presents a decision support system for order acceptance/rejection in a Make-to-Order production environment with the mixed model assembly line approach. Indeed, variety of orders is the parameter under investigation herein. When the company does not have sufficient capacity or the required resources to accept the entirety of all new arrival orders, the following steps are proposed: At first, the customers are prioritized based on their corresponding profit values (at present and in the future) whereas other orders are rejected by the top manager along with some undesirable ones. Then, prices and delivery dates of the non-rejected orders are determined via a mathematical programming model. Quality levels are also reported to the customers based upon which they are allowed to select their desired blend of main components. Afterwards, in the case of customer's lack of satisfaction with the offered price and due date, further negotiation is proposed. Finally, if the negotiation leads to an agreement, the order is accepted and added to the production schedule of the shop floor. The schedule of accepted orders is performed based on minimizing the work overload. The present study presumes that the processing times of the tasks are affected by both learning effect and deterioration of the jobs, simultaneously. In the last section of the study afoot, numerical experiments as well as the corresponding methodology are presented in order to solve the models. Moreover, a simulated annealing algorithm is utilized to solve the problem in a large scale with little computational time. Numerical experiments confirm that the simulated annealing algorithm tends to yield rather fine results with little discrepancy compared to those of the exact algorithm in small and medium size.
机译：这项研究提出了一种决策支持系统，用于采用混合模型装配线方法的按订单生产环境中的订单接受/拒绝。实际上，各种订单是本文研究的参数。当公司没有足够的能力或所需的资源来接受所有新到达的订单的全部时，建议采取以下步骤：首先，根据客户相应的利润值（当前和将来）对客户进行优先级排序，而客户最高经理拒绝其他订单以及一些不良订单。然后，通过数学编程模型确定未拒绝订单的价格和交货日期。质量水平也会报告给客户，基于这些水平，客户可以选择所需的主要成分混合物。此后，如果客户对所提供的价格和到期日期不满意，建议进一步协商。最后，如果协商达成协议，则接受订单并将其添加到车间的生产计划中。接受订单的计划是基于最大程度地减少工作负担来执行的。本研究假设任务的处理时间同时受学习效果和工作恶化的影响。在研究的最后一部分，提出了数值实验以及相应的方法，以求解模型。此外，利用模拟退火算法以较少的计算时间大规模地解决了该问题。数值实验证实，与中小尺寸的精确算法相比，模拟退火算法倾向于产生相当好的结果，并且差异很小。

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