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A decision support system for real-time order management in a heterogeneous production environment

机译:异构生产环境中用于实时订单管理的决策支持系统

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In today's competitive market, many companies are morphing from the traditional new build, single brand, and silo environments to facilities accommodating diverse business missions. The later are called heterogeneous production environments in which the different business channels share their final production stage (shipping), to enable competitive advantages. In these production environments, at the operational level, the critical success factors are customer satisfaction, on-time delivery, product complexities, supply allocation, and resource utilization. At the strategic level, the success factors are revenue, customer urgency, and sales impact. This study proposes an End-to-End Customer Order Management System (E2E COMS) focusing on effective utilization of individual and shared resources to support real-time order management and mitigate risk of managing diverse missions. The proposed system consists of three integrated tools: Order Prioritization Tool (OPT) to assess and prioritize customer orders for each business channel, Order Fulfillment Progress Projection Tool (OFPPT) to predict the expected remaining order completion time considering inventory and resource capacity constraints, and risk mitigation tool to assess the risk of missing an order shipment due to shipping constraints. A real-time dashboard is developed to visualize the prioritized customer orders, expected time to arrive at the shipping area, shipping instructions, and two-dimensional risk assessment charts. The proposed system can effectively be used for shipping capacity management as well as prompt decision making. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在当今竞争激烈的市场中,许多公司正在从传统的新建,单一品牌和筒仓环境转变为可容纳各种业务任务的设施。后者称为异构生产环境,其中不同的业务渠道共享其最终生产阶段(装运),以实现竞争优势。在这些生产环境中,在运营级别,关键的成功因素是客户满意度,准时交付,产品复杂性,供应分配和资源利用。在战略层面,成功因素是收入,客户紧迫性和销售影响。这项研究提出了一种端到端客户订单管理系统(E2E COMS),该系统着重于有效利用个人和共享资源来支持实时订单管理并减轻管理各种任务的风险。拟议的系统由三个集成工具组成:订单优先级排序工具(OPT),用于评估和确定每个业务渠道的客户订单的优先级;订单履行进度预测工具(OFPPT),在考虑库存和资源容量约束的情况下,预测预期的剩余订单完成时间;以及风险缓解工具,用于评估由于运输限制而错过订单运输的风险。开发了一个实时仪表板,以可视化优先客户订单,到达运输区域的预期时间,运输说明以及二维风险评估图。所提出的系统可以有效地用于运输能力管理以及迅速的决策。 (C)2016 Elsevier Ltd.保留所有权利。

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