Medium-term maintenance turnaround planning under uncertainty for integrated chemical sites
Medium-term maintenance turnaround planning under uncertainty for integrated chemical sites
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DOI：
10.1016/j.compchemeng.2015.09.007
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发表时间：
2016-01-04
影响因子：
4.3
通讯作者：
Bury, Scott J.
中科院分区：
文献类型：
--
作者：
Amaran, Satyajith;Zhang, Tong;Bury, Scott J.
工厂维护对生产造成了长期的干扰。当工厂是综合化工厂的一部分时，维护效果会被放大，因为该工厂附近工厂的生产水平也会受到很大影响。处理周转问题的一个挑战是，由于发现工作和拖延，很难预测周转的持续时间。这种持续时间的不确定性影响了两个主要的规划决策：生产水平和维护人力分配。后者必须在转变发生前几个月决定。我们解决了调度的一组工厂周转在几个月的中期使用整数规划公式。由于不确定性的性质，生产决策是通过随机规划思想处理，而人力方面是通过一个强大的优化框架处理。我们提出了稳健优化和随机规划相结合的配方来解决这个问题，并通过工业案例研究证明，显着节省的潜力。(C)2015爱思唯尔有限公司版权所有。
Plant maintenance poses extended disruptions to production. Maintenance effects are amplified when the plant is part of an integrated chemical site, as production levels of adjacent plants in the site are also significantly influenced. A challenge in dealing with turnarounds is the difficulty in predicting their duration, due to discovery work and delays. This uncertainty in duration affects two major planning decisions: production levels and maintenance manpower allocation. The latter must be decided several months before the turnarounds occur. We address the scheduling of a set of plant turnarounds over a medium-term of several months using integer programming formulations. Due to the nature of uncertainty, production decisions are treated through stochastic programming ideas, while the manpower aspect is handled through a robust optimization framework. We propose combined robust optimization and stochastic programming formulations to address the problem and demonstrate, through an industrial case study, the potential for significant savings. (C) 2015 Elsevier Ltd. All rights reserved.