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Model-based order acceptance and scheduling

Model-based order acceptance and scheduling
基于模型的订单接受和调度
批准号:
405645389
负责人:
Professor Dr.-Ing. Hermann Lödding
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2018
资助国家:
德国
项目状态:
已结题
起止时间:
2017-12-31 至 2020-12-31

项目摘要

项目成果

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中文摘要
翻译
对于按订单生产的企业来说,订单接受和调度是一项非常重要的工作。它决定了客户确定的交货日期,影响着公司的营业额、交货时间、进度可靠性和生产部门的利用率等关键绩效指标,同时,订单接受和调度受到不确定性的高度影响,由于报价的接受配额不同,制造的详细负荷由生产工程确定,因此在确认交货日期的时间。 该研究项目的目标是描述订单接受和调度的物流目标标准的交货时间,时间表的可靠性和利用率的数学模型中的第一次的效果。然后,该模型将用于开发一种简单的订单接受和调度方法,这将使公司能够确定可靠的交货日期,并尽可能地利用其生产能力。无论是作为方法的建模,都应在系统的模拟实验中进行定量评估。
英文摘要
For make-to-order companies, order acceptance and scheduling is a very important task. It determines the confirmed delivery dates for the customers and effects crucial performance indicators as the turnover, delivery times and schedule reliability of the company and the utilization of the production department.At the same time, order acceptance and scheduling is highly affected by uncertainty, as the acceptance quota of the offers varies and the detailed load for manufacturing is determined by production engineering and is therefore unknown at the time of confirming the delivery date. The goal of the research project is to describe the effect of order acceptance and scheduling on the logistical target criteria delivery time, schedule reliability and utilization for the first time in a mathematical model. The model shall then be used to develop a simple order acceptance and scheduling method, which will allow companies to determine reliable delivery dates and to utilize their production capacities as much as possible. Both the modelling as the method shall be quantitatively evaluated in systematic simulation experiments.
期刊论文(1)
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会议论文
Order Acceptance and Scheduling with a Throughput Diagram
使用吞吐量图进行订单接受和调度
DOI: 10.1007/978-3-030-57993-7_40
发表时间: 2020
期刊:
影响因子: --
作者: [Christopher, Lödding, Hermann]
通讯作者: Hermann
Model-based derivation of a generally valid approximation of characteristic curves for WIP and utilisation
Analysis and optimization of searching procedures in manufacturing environments
Modeling the influence of batch processes on the logistic objectives
Development and implementation of a production planning and control for rush orders in the industrial application
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