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, Philippines : Mindshapers Co. Inc., c2006Description: viii, 345 pages : illustrations ; 25 cmISBN:

9789710445004

Subject(s):

BUSINESS MATHEMATICS

LOC classification:

HD 31 .S57 2006

Contents:

CHAPTER 1. System of Linear equations and Inequalities -- 2. Linear Programming: Graphical Method -- 3. Linear Programming: Simplex Method -- 4. Linear Programming: Sensitive Analysis -- 5. Transportation Model -- 6. Assignment Model -- 7. Network Analysis -- 8. Break-Even Analysis -- 9. Forecasting -- 10. Decision Theory -- 11. Inventory Model.

Summary: It is anticipated that the students have studied College Algebra and Probability and Statistics . However, these are primary mathematical maturity prerequisites; subject matter from College Algebra and Probability of Statistics appears mostly in illustrative examples and exercises.

Item type:

Books

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Holdings
Item type	Current library	Home library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	National University - Manila	LRC - Annex II Filipiniana	Gen. Ed. - CBA	FIL HD 31 .S57 2006 c.2 (Browse shelf(Opens below))	c.2	Available		NULIB000012403

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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 c.2 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 /	FIL HD 39 .A66 1995 Investment management & the Philippine stock market /	Next

Includes bibliographical references.

It is anticipated that the students have studied College Algebra and Probability and Statistics . However, these are primary mathematical maturity prerequisites; subject matter from College Algebra and Probability of Statistics appears mostly in illustrative examples and exercises.

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