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Simulating business processes for de...

Greasley, Andrew.

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Simulating business processes for descriptive, predictive and prescriptive analytics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Simulating business processes for descriptive, predictive and prescriptive analytics/ Andrew Greasley.
Author:	Greasley, Andrew.
Published:	Berlin ;De G Press, : c2019.,
Description:	1 online resource (x, 341 p.) :ill.
Subject:	Decision making - Simulation methods. -
Online resource:	https://www.degruyter.com/isbn/9781547400690
ISBN:	9781547400690

Simulating business processes for descriptive, predictive and prescriptive analytics
Greasley, Andrew.

Simulating business processes for descriptive, predictive and prescriptive analytics[electronic resource] /Andrew Greasley. - 1st ed. - Berlin ;De G Press,c2019. - 1 online resource (x, 341 p.) :ill.

Includes bibliographical references (p. 336-337) and index.

This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. --

ISBN: 9781547400690

LCCN: 2019937567Subjects--Topical Terms:

578152
Decision making
--Simulation methods.

LC Class. No.: HD30.23 / .G899 2019

Dewey Class. No.: 658.472

Simulating business processes for descriptive, predictive and prescriptive analytics
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050 0 0 $a HD30.23 $b .G899 2019
082 0 $a 658.472
100 1 $a Greasley, Andrew. $3 701547
245 1 0 $a Simulating business processes for descriptive, predictive and prescriptive analytics $h [electronic resource] / $c Andrew Greasley.
250 $a 1st ed.
260 $a Berlin ; $a Boston : $b De G Press, $c c2019.
300 $a 1 online resource (x, 341 p.) : $b ill.
504 $a Includes bibliographical references (p. 336-337) and index.
520 $a This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. -- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Decision making $x Simulation methods. $3 578152
650 0 $a Management $x Statistical methods. $3 615393
650 0 $a Business intelligence. $3 669648
856 4 0 $u https://www.degruyter.com/isbn/9781547400690