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Award Abstract # 1000018
Collaborative Research: Engineering Efficient and Equitable Food Distribution Under Uncertainty

NSF Org: CMMI
Division of Civil, Mechanical, and Manufacturing Innovation
Recipient: NORTH CAROLINA AGRICULTURAL AND TECHNICAL STATE UNIVERSITY
Initial Amendment Date: April 20, 2010
Latest Amendment Date: January 20, 2012
Award Number: 1000018
Award Instrument: Standard Grant
Program Manager: Edwin Romeijn
CMMI
 Division of Civil, Mechanical, and Manufacturing Innovation
ENG
 Directorate for Engineering
Start Date: May 1, 2010
End Date: April 30, 2014 (Estimated)
Total Intended Award Amount: $196,247.00
Total Awarded Amount to Date: $208,247.00
Funds Obligated to Date: FY 2010 = $196,247.00
FY 2012 = $12,000.00
History of Investigator:
  • Lauren Davis (Principal Investigator)
    lbdavis@ncat.edu
  • Steven Jiang (Co-Principal Investigator)
Recipient Sponsored Research Office: North Carolina Agricultural & Technical State University
1601 E MARKET ST
GREENSBORO
NC  US  27411
(336)334-7995
Sponsor Congressional District: 06
Primary Place of Performance: North Carolina Agricultural & Technical State University
1601 E MARKET ST
GREENSBORO
NC  US  27411
Primary Place of Performance
Congressional District:
06
Unique Entity Identifier (UEI): SKH5GMBR9GL3
Parent UEI:
NSF Program(s): SERVICE ENTERPRISE SYSTEMS
Primary Program Source: 01001011DB NSF RESEARCH & RELATED ACTIVIT
01001213DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 076E, 078E, 116E, 8023, 9102, 9147, 9148, 9178, 9231, 9251, MANU
Program Element Code(s): 178700
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

This grant provides funding for the development of decision models to support the efficient and equitable management and distribution of supply in the resource constrained environment of food distribution. While most Humanitarian Supply Chain (HSC) related research has focused on the distribution and stocking of relief supplies or location of supply centers, in sharp contrast, issues surrounding donations management (i.e., the solicitation, coordination, distribution and management of donated goods, money and services that form inputs into the HSC) and its impact on the downstream relief recipient have been unexplored, particularly for food distribution. This research focuses on the development of predictive models to (1) characterize donor behavior, (2) quantify supply availability and (3) determine the equitable allocation of constrained supply. The models will account for the complexities associated with donations management such as uncertainty in both supply and demand, with demand often exceeding supply; the criticality of delivering goods to relief recipients at the right time; the appearance of sudden demand surges due to natural and manmade disasters; and perishability of donated items.

This research offers substantial benefits to society in terms of improved supply allocation and donations management for non-profit relief agencies. The ability to characterize donor behavior and incorporate the objective of equitably distributing supply enables relief agencies to make informed inventory and supply allocation decisions and strategically target donation solicitations. It also has the potential to enable humanitarian relief organizations to satisfy greater demand by more efficiently allocating available resources, thus impacting human life. The research addresses the critical intersection of humanitarian relief and engineering by linking donations management and food distribution to supply chain management (inventory policy) and forges a relationship necessary to address the significant issues in humanitarian relief in terms of equitable satisfaction of need, cost and human outcomes faced worldwide today.

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

This grant has worked to improve the operations of supply constrained relief agencies primarily tasked with providing assistance through equitable distribution of food. In particular, we have focused on issues surrounding the solicitation, coordination, distribution and management of donated goods and its impact on downstream relief recipients. Relief recipients in this sense are those who are food insecure, due to economic or disaster induced events.

 

Intellectual Merit:

This research has produced models that support the efficient and equitable management and distribution of supply in the resource constrained environment of food distribution.

(i) We have developed a novel formulation for food collections and deliveries. This formulation is an extension of the periodic vehicle routing problem and is called the periodic vehicle routing problem with backhauls (PVRPB). While the VRPB has been examined in the literature, our formulation for the PVRPB represents a new contribution to the general vehicle routing literature.  

(ii) We have characterized the behavior of in-kinds donations in the non-profit food distribution environment and developed new models to forecast incoming donations from private and public sources.  

(iii) We have also identified important economic factors that help characterize the need for food which extends the current measures of food need used by the collaborating partner.

(iv) We have incorporated measures of equity in our optimization models. We have developed deterministic network...

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