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  <titleInfo>
    <title>Practical management science</title>
  </titleInfo>
  <name type="personal">
    <namePart>Winston, Wayne L.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author. </roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Albright, S. Christian</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">-us</placeTerm>
    </place>
    <place>
      <placeTerm type="text">USA</placeTerm>
    </place>
    <publisher>Cengage Learning</publisher>
    <dateIssued>c2016</dateIssued>
    <dateIssued encoding="marc">2012</dateIssued>
    <copyrightDate encoding="marc">2016</copyrightDate>
    <edition>Fifth edition.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>xvi, 862 pages :  colored illustrations ;  26 cm. </extent>
  </physicalDescription>
  <abstract>"Geared entirely to Excel 2013, PRACTICAL MANAGEMENT SCIENCE uses an active-learning approach and realistic problems to help you take full advantage of the power of spreadsheet modeling.

The text presents just the right amount of theory to ensure you understand the foundation of the topic, followed by exercises that give you practical, hands-on experience with the methodologies.

Drawing examples and problems from finance, marketing, operations management, and other areas, the text illustrates how management science applies to your chosen profession--and how you can use it on the job.

The authors emphasize modeling over algebraic formulations and memorization of particular models.

The text includes access to Palisade DecisionTools Suite (BigPicture, @RISK, PrecisionTree, StatTools, TopRank, NeuralTools, and Evolver) as well as SolverTable, which allows you to do sensitivity analysis on optimization models." --Provided by the publisher </abstract>
  <tableOfContents>Contents: Chapter 1 Introduction to modeling -- Chapter 2 Introduction to spreadsheet modeling -- Chapter 3 Introduction to optimization modeling -- Chapter 4 Linear programming models -- Chapter 5 Network models -- Chapter 6 Optimization models with integer variables -- Chapter 7 Nonlinear optimization models -- Chapter 8 Evolutionary solver an alternative optimization procedure -- Chapter 9 Decision making under uncertainty -- Chapter 10 Introduction to simulation modeling -- Chapter 11 Simulation models -- Chapter 12 Inventory and supply chain models -- Chapter 13 Queuening models -- Chapter  14 Regression and forecasting models -- Chapter 15 Project management -- Chapter 16 Mutiobjectve decision making. </tableOfContents>
  <targetAudience>Adult </targetAudience>
  <targetAudience authority="marctarget">adult</targetAudience>
  <note type="statement of responsibility">by Wayne L. Winston and S. Christian Albright. </note>
  <note>Includes bibliographical references and index. </note>
  <note>Donation  Ortega, Eric College of Computer Studies Computer Studies : Information System</note>
  <note>Text in English </note>
  <subject>
    <topic>Electronic spreadsheets</topic>
  </subject>
  <subject>
    <topic>Management science</topic>
  </subject>
  <subject>
    <topic>Management science</topic>
    <topic>Computer simulation</topic>
  </subject>
  <subject>
    <topic>Management science</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject>
    <topic>Management science</topic>
    <topic>Software</topic>
  </subject>
  <identifier type="isbn">9781305250901 [hardbound]</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">University of Cebu-Banilad</recordContentSource>
    <recordCreationDate encoding="marc">260203</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260203093912.0</recordChangeDate>
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