TY - JOUR
T1 - HP transforms product portfolio management with operations research
AU - Ward, Julie
AU - Zhang, Bin
AU - Jain, Shailendra
AU - Fry, Chris
AU - Olavson, Thomas
AU - Mishal, Holger
AU - Amaral, Jason
AU - Beyer, Dirk
AU - Brecht, Ann
AU - Cargille, Brian
AU - Chadinha, Russ
AU - Chou, Kathy
AU - DeNyse, Gavin
AU - Feng, Qi
AU - Padovani, Cookie
AU - Raj, Sesh
AU - Sunderbruch, Kurt
AU - Tarjan, Robert
AU - Venkatraman, Krishna
AU - Woods, Joseph
AU - Zhou, Jing
PY - 2010/1
Y1 - 2010/1
N2 - Hewlett-Packard (HP) offers many innovative products to meet diverse customer needs. The breadth of its productoffering has helped the company achieve unparalleled marketreach; however, ithas come with significant costs and challenges. By offering multiple similar products, a manufacturer increases its overall demand volatility, reduces forecast accuracy, and can adversely affect revenue and costs across the entire product life cycle. At HP, these impacts included increases in inventory-driven costs and order-cycle time; liabilities to channel partners; and costs of operations, research and development, marketing, and administration. Furthermore, complexity in HP's product lines confused customers, sales representatives, and channel partners, sometimes driving business to competitors. HP developed two powerful operations research-based solutions for managing product variety. The first, a framework for screening new products, uses custom-built return-on-investment (ROI) calculators to evaluate each proposed new product before introduction; those that do not meet a threshold ROI level are targeted for exclusion from the proposed lineup. The second, HP's Revenue Coverage Optimization (RCO) tool, which is based on a fast, new maximum-flow algorithm, is used to manage product variety after introduction. By identifying a core portfolio of products that are important to order coverage, RCO enables HP businesses to increase operational focus on their most critical products. These tools have enabled HP to increase its profits across business units by more than $500 million since 2005. Moreover, HP has streamlined its product offerings, improved execution, achieved faster delivery, lowered overhead, and increased customer satisfaction and market share.
AB - Hewlett-Packard (HP) offers many innovative products to meet diverse customer needs. The breadth of its productoffering has helped the company achieve unparalleled marketreach; however, ithas come with significant costs and challenges. By offering multiple similar products, a manufacturer increases its overall demand volatility, reduces forecast accuracy, and can adversely affect revenue and costs across the entire product life cycle. At HP, these impacts included increases in inventory-driven costs and order-cycle time; liabilities to channel partners; and costs of operations, research and development, marketing, and administration. Furthermore, complexity in HP's product lines confused customers, sales representatives, and channel partners, sometimes driving business to competitors. HP developed two powerful operations research-based solutions for managing product variety. The first, a framework for screening new products, uses custom-built return-on-investment (ROI) calculators to evaluate each proposed new product before introduction; those that do not meet a threshold ROI level are targeted for exclusion from the proposed lineup. The second, HP's Revenue Coverage Optimization (RCO) tool, which is based on a fast, new maximum-flow algorithm, is used to manage product variety after introduction. By identifying a core portfolio of products that are important to order coverage, RCO enables HP businesses to increase operational focus on their most critical products. These tools have enabled HP to increase its profits across business units by more than $500 million since 2005. Moreover, HP has streamlined its product offerings, improved execution, achieved faster delivery, lowered overhead, and increased customer satisfaction and market share.
KW - Binary programming
KW - Cost analysis
KW - Flow algorithms
KW - Inventory management
KW - Lagrangian relaxation
KW - Parametric maximum flow
KW - Product portfolio management
KW - Regression
KW - Statistics
KW - Stochastic inventory analysis
UR - http://www.scopus.com/inward/record.url?scp=76949091269&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=76949091269&partnerID=8YFLogxK
U2 - 10.1287/inte.1090.0476
DO - 10.1287/inte.1090.0476
M3 - Article
AN - SCOPUS:76949091269
SN - 0092-2102
VL - 40
SP - 17
EP - 32
JO - Interfaces
JF - Interfaces
IS - 1
ER -