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Quantitative techniques for business : (operations research/management science quantitative/ decision science) / Winston S. Sirug

By: Sirug, Winston S [author]Material type: Text

TextPublication details: Makati City : Mindshapers Co. Inc., c2006Description: viii, 345 pages : illustrations ; 27 cmISBN: 9789710445004Subject(s): MANAGEMENT -- MATHEMATICAL MODELS | MANAGEMENT -- STATISTICAL METHODSLOC classification: HD 31 .S57 2006

Contents:

Chapter 1 : System of linear equations and inequalities -- Chapter 2 : Linear programming : graphical method -- Chapter 3 : Linear programming : simplex method -- Chapter 4 : Linear programming : sensitivity analysis -- Chapter 5 : Transportation model -- Chapter 6 : Assignment model -- Chapter 7 : Network analysis -- Chapter 8 : Break-even analysis -- Chapter 9 : Forecasting -- Chapter 10 : Decision theory -- Chapter 11 : Inventory model.

Summary: This is an introduction to quantitative techniques for business/operations research/ management sciece. It is anticipated that the students have studied college algebra and probability and statistics.

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Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	LRC - Annex	National University - Manila	Gen. Ed. - CBA	Filipiniana	FIL HD 31 .S57 2006 (Browse shelf (Opens below))	c.1	Available		NULIB000010237

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Previous	FIL HD 31 .R69 2001 c.4 Fundamentals of management : text and Philippine cases /	FIL HD 31 .R78 1990 Management advisory services /	FIL HD 31 .S54 2001 The Asian organization and other selected readings and cases /	FIL HD 31 .S57 2006 Quantitative techniques for business : (operations research/management science quantitative/ decision science) /	FIL HD 31 .S61 2006 Quantitative techniques for business : Operations research, management science quantitative, decision science /	FIL HD 31 .Z37 2009 Principles of management /	FIL HD 31 .Z85 1999 Management : theories and practice /	Next

Includes bibliographical references.

This is an introduction to quantitative techniques for business/operations research/ management sciece. It is anticipated that the students have studied college algebra and probability and statistics.

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