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2023-04-05 18:33:00 +00:00

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MGMT-4175: Supply Chain Analytics
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<meta property="og:description" content="This is a hands-on course where we will learn a mix of theoretical and practical tools. Using these tools, we will solve a variety of supply chain problems, both analytically and numerically. We will examine data and use this to understand supply, demand, and inventory levels using R to model many of these problems. We will also look at the data and assess its suitability for modelling. We plan on using time series, Markov chain, optimal control, linear programming, statistical analysis, and other mathematical tools to have the data tell us its secrets. The bottom line is we will use these insights to make recommendations to firms and other decision makers. We will also look at qualitative problems through the examination and discussions of cases in class. Not everything can be distilled to a number and so we need to be able to take a holistic view of business problems and make more strategic recommendations. We will then have teams of students solve and present these case results.">
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<h1 id="name">
Supply Chain Analytics
</h1>
<h2 id="code">
MGMT-4175
</h2>
<p>
This is a hands-on course where we will learn a mix of theoretical and practical tools. Using these tools, we will solve a variety of supply chain problems, both analytically and numerically. We will examine data and use this to understand supply, demand, and inventory levels using R to model many of these problems. We will also look at the data and assess its suitability for modelling. We plan on using time series, Markov chain, optimal control, linear programming, statistical analysis, and other mathematical tools to have the data tell us its secrets. The bottom line is we will use these insights to make recommendations to firms and other decision makers. We will also look at qualitative problems through the examination and discussions of cases in class. Not everything can be distilled to a number and so we need to be able to take a holistic view of business problems and make more strategic recommendations. We will then have teams of students solve and present these case results.
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4 credits
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Cross-listed with:
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<a class="course-pill" href="MGMT-6350">MGMT-6350 Supply Chain Analytics</a>
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Prereqs:
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one of:
</div>
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<a class="course-pill" href="MGMT-4100">MGMT-4100 Quantitative Methods for Business</a>
<a class="course-pill" href="MGMT-4110">MGMT-4110 Operations Management</a>
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<th></th>
<th class="spring season-label">Spring</th>
<th class="summer season-label" colspan="2">Summer</th>
<th class="fall season-label">Fall</th>
</tr>
<tr>
<th colspan="2"></th>
<th class="summer2 midsum-label">(Session 1)</th>
<th class="summer3 midsum-label">(Session 2)</th>
<th></th>
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<tr>
<th class="year">2023</th>
<td class="term spring not-offered">
</td>
<td colspan="2" class="term summer not-offered">
</td>
<td class="term fall offered-diff-code">
</td>
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<tr>
<th class="year">2022</th>
<td class="term spring not-offered">
</td>
<td colspan="2" class="term summer not-offered">
</td>
<td class="term fall offered-diff-code">
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<th class="year">2021</th>
<td class="term spring offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
<a href="https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202101&subj_in=MGMT&crse_in=4175&schd_in=">Supply Chain Analytics (4c)</a>
</span>
<ul class="prof-list">
<li>Timothy Robert Kachur</li>
<li>Clinton T. Ballinger</li>
</ul>
<span class="course-capacity">
Seats Taken: 1/10
</span>
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</td>
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<th class="year">2020</th>
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<th class="year">2019</th>
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<th class="year">2017</th>
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<th class="year">2016</th>
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<th class="year">2015</th>
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<th class="year">2014</th>
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<th class="year">2013</th>
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<th class="year">2011</th>
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<th class="year">2008</th>
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<th class="year">2004</th>
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<th class="year">2001</th>
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<th class="year">2000</th>
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<th class="year">1999</th>
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<th class="year">1998</th>
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