- Home
- Technology & Engineering
- Industrial Engineering
- Operations Planning (Mixed Integer Optimization Models)
Operations Planning (Mixed Integer Optimization Models)
List Price:
$89.99
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Joseph Geunes
Format:
Paperback
Pages:
218
Publisher:
CRC Press (March 30, 2017)
Language:
English
ISBN-13:
9781138074781
Weight:
14.125oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_260117060453325-20260117.xml
Folder:
TAYLORFRANCIS
List Price:
$89.99
Country of Origin:
United States
Series:
Operations Research Series
Case Pack:
10
As low as:
$85.49
Publisher Identifier:
P-CRC
Discount Code:
H
Pub Discount:
30
Imprint:
CRC Press
Overview
A reference for those working at the interface of operations planning and optimization modeling, this book blends essential theory and powerful approaches to practical operations planning problems. Starting with the Knapsack Problem, it presents a set of classical optimization models with widespread application in operations planning. The discussion of each of these classical models begins with the motivation for studying the problem as well as examples of the problem’s application in operations planning contexts. The book explores special structural results and properties of optimal solutions that have led to effective algorithmic solution approaches for each problem class.
