OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains

Heng Cao (), Jianying Hu (), Chen Jiang (), Tarun Kumar (), Ta-Hsin Li (), Yang Liu (), Yingdong Lu (), Shilpa Mahatma (), Aleksandra Mojsilović (), Mayank Sharma (), Mark S. Squillante () and Yichong Yu ()
Additional contact information
Heng Cao: Business Analytics and Mathematical Sciences Department, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598
Jianying Hu: Business Analytics and Mathematical Sciences Department, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598
Chen Jiang: Business Analytics and Mathematical Sciences Department, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598
Tarun Kumar: Business Analytics and Mathematical Sciences Department, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598
Ta-Hsin Li: Business Analytics and Mathematical Sciences Department, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598
Yang Liu: Business Analytics and Mathematical Sciences Department, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598
Yingdong Lu: Business Analytics and Mathematical Sciences Department, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598
Shilpa Mahatma: Business Analytics and Mathematical Sciences Department, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598
Aleksandra Mojsilović: Business Analytics and Mathematical Sciences Department, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598
Mayank Sharma: Business Analytics and Mathematical Sciences Department, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598
Mark S. Squillante: Business Analytics and Mathematical Sciences Department, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598
Yichong Yu: Business Analytics and Mathematical Sciences Department, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598

Interfaces, 2011, vol. 41, issue 5, 414-435

Abstract: In this paper, we present a suite of innovative operations research models and methods called OnTheMark (OTM). This suite supports the effective management of human capital supply chains by addressing distinct features of human talent that cannot be handled via traditional supply chain management. OTM consists of novel solutions for (1) statistical forecasting of demand and human capital requirements, (2) risk-based stochastic human-talent capacity planning, (3) stochastic modeling and optimization (control) of human capital supply evolutionary dynamics over time, (4) optimal multiskill supply-demand matching, and (5) stochastic optimization of business decisions and investments to manage human capital shortages and overages. The OTM suite was developed and deployed as an important part of the human capital management and planning process within IBM, providing support for decision making to drive better business performance. This is achieved through important contributions in the areas of stochastic models and optimization (control), and the innovative application and integration of these models and methods in human capital management applications.

Keywords: human capital supply chains; human capital management and planning; demand forecasting; risk-based capacity planning; stochastic supply evolution; multiskill supply-demand matching; stochastic models; stochastic optimization and control (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://dx.doi.org/10.1287/inte.1110.0596 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:41:y:2011:i:5:p:414-435

Access Statistics for this article

More articles in Interfaces from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().