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<span id="openzim-page-title" class="mw-page-title-main"><span class="mw-page-title-main">Process optimization</span></span>
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</p><p><b>Process optimization</b> is the discipline of adjusting a <a href="Process" title="Process">process</a> so as to make the best or most effective use of some specified set of parameters without violating some constraint. Common goals are minimizing cost and maximizing throughput and/or efficiency. Process optimization is one of the major <a href="Quantitative_property" class="mw-redirect" title="Quantitative property">quantitative</a> tools in industrial <a href="Decision_theory" title="Decision theory">decision making</a>.
</p><p>When <a href="Optimization" class="mw-redirect" title="Optimization">optimizing</a> a process, the goal is to maximize one or more of the process specifications, while keeping all others within their constraints. This can be done by using a <a href="Process_mining" title="Process mining">process mining</a> tool, discovering the critical activities and bottlenecks, and acting only on them.
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<div class="mw-heading mw-heading2"><h2 id="Areas">Areas</h2></div>
<p>Fundamentally, there are three parameters that can be adjusted to affect optimal performance. They are:
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<ul><li>Equipment optimization</li></ul>
<p>The first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks.
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<ul><li>Operating procedures</li></ul>
<p>Operating procedures may vary widely from person to person or from shift to shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant manually.
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<ul><li>Control optimization</li></ul>
<p>In a typical processing plant, such as a <a href="Chemical_plant" title="Chemical plant">chemical plant</a> or <a href="Oil_refinery" title="Oil refinery">oil refinery</a>, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow.
</p><p>If the <a href="Control_loop" title="Control loop">control loop</a> is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems.
</p><p>The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
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<div class="mw-heading mw-heading2"><h2 id="See_also">See also</h2></div>
<ul><li><a href="Calculation_of_glass_properties" title="Calculation of glass properties">Calculation of glass properties</a>, optimization of several properties</li>
<li><a href="Deficit_irrigation" title="Deficit irrigation">Deficit irrigation</a> to optimize water productivity</li>
<li><a href="Industrial_engineering" title="Industrial engineering">Industrial engineering</a></li>
<li><a href="Process_simulation" title="Process simulation">Process simulation</a></li>
<li><a href="Taguchi_methods" title="Taguchi methods">Taguchi methods</a></li>
<li><a href="Workforce_productivity" title="Workforce productivity">Workforce productivity</a></li></ul>
<div class="mw-heading mw-heading2"><h2 id="External_links">External links</h2></div>
<ul><li><a rel="nofollow" class="external text" href="https://rtime.felk.cvut.cz/scheduling-toolbox/">TORSCHE Scheduling Toolbox for Matlab</a>, a freely available software toolbox of scheduling and graph algorithms</li></ul>
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