2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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4 - Planning Models For Skills-sensitive Surgical Nurse Staffing
Maya Bam, University of Michigan, Ann Arbor, MI, United States,
, Maya Bam, University of Michigan Health
System, Ann Arbor, MI, United States, ,
Zheng Zhang, Brian T Denton, Mark P Van Oyen, Mary Duck,
Joshua Pigula
Surgical nurses are essential resources in the surgery delivery system. However,
surgical nurse staffing decisions present a challenge due to the stochastic nature of
surgical demand, nurse availability, skill requirements, and hospital regulations.
Based on collaboration with a large academic hospital, we present planning level
optimization models to group services into teams based on difficulty and
overnight call volume, and then assign shifts to services and teams subject to skill
requirements. We present results that provide insight into optimal nurse staffing
decisions based on a large hospital data set.
WA25
110A-MCC
Logistics I
Contributed Session
Chair: Jiahong Zhao, Guangdong University of Technology, No.100
Waihuanxilu Daxuecheg, Guangzhou, 510006, China,
1 - The Regional Logistics Hubs Location Problem Based On The
Topsis And Genetic Algorithm The Case Of Sichuan In China
Si Chen, Dr., Southwest Jiaotong University, #111 The First Block
of North Erhuan Road, Chengdu, 610031, China,
, Dong Chen, Mi Gan
The regional logistics demands, which are the key factor for logistics hubs location
problem, are changing with the developing regional economic and the structure
of industry. Noted that different industries will result in different kind of logistics
demand, we aims to modeling the regional logistics hubs location problem with
consider of industries affected logistics demand. Then the real data case of
Sichuan province is employed to verify the feasibility of proposed models and
approach, the results indicate that Chengdu, Leshan and Deyang is selected from
18 candidate cities as the comprehensive logistics hub, cross-regional logistics hub
and internal-oriented logistics hub, respectively.
2 - Data Driven Approach To Crowd Delivery In Last Mile
Loo Hay Lee, National University of Singapore, 10 Kent Ridge
Cresent, Industrial and Systems Engineering, Singapore, 119260,
Singapore, Yuan Wang, Dong Xiang Zhang,
Ek Peng Chew
In urban logistics, the last-mile delivery has become more challenging with the
continuous growth of E-commerce. In this paper, we propose an effective large-
scale mobile crowd-tasking model in which a large pool of citizen workers are
used to perform the last-mile delivery. To efficiently solve the model, we present
network min-cost flow based method with pruning techniques and constrained
clustering approach to partition large data points. Comprehensive experiments
were conducted with Singapore and Beijing datasets. The results show that our
solution can support real-time delivery optimization in the large-scale mobile
crowd-sourcing problem.
3 - Adaptive Warehouses: Look At The Past, Not The Future
Nima Zaerpour, Assistant Professor of Operations Management,
California State University San Marcos, 333 S Twin Oaks Valley
Rd., Markstein 446, San Marcos, CA, 92096, United States,
, Sholeh Norouzzadeh
The growth of online shopping is bringing new challenges to warehouses. For
instance, Amazon receive 35 orders/second, each including few items. The timing
for delivery varies between the same day deliveries to a couple of days. The
product popularity and assortment varies frequently influenced by various factors.
Thus, warehouses need to become more responsive to customers and more
adaptive to changes while the customer information does not become available
sufficiently in advance. We ask the following: can self-learning techniques
improve efficiency of warehouses and reduce the time/effort required to retrieve
a product for a customer order? This paper tries to answer this question.
4 - A Location Inventory Routing Optimization Model For Explosive
Waste Management
Jiahong Zhao, Guangdong University of Technology, No.100
Waihuanxilu Daxuecheg, Guangzhou, 510006, China,
, Ginger Yi Ke
Recently, attentions have been drawn to reducing the risks derived from facility
location, inventory management, and multi-depot vehicle-routing of the
explosive waste management. In this research, risks are assessed as impact solids
with certain hazardous radii posed by explosions happening en route and at site.
An optimization model minimizing the total cost and risk is developed to
determine the corresponding location-inventory-routing plan. In addition to a
well-defined solution procedure, a real-world problem of Southwest China is
examined to provide further managerial insights.
WA26
110B-MCC
Display Advertising Markets
Invited: Auctions
Invited Session
Chair: De Liu, Carlson School of Management, 3-163 CSOM, University
of Minnesota, Minneapolis, MN, 55455, United States,
Co-Chair: Dengpan Liu, Iowa State University, 3321 Gerdin Building,
Ames, IA, 50011, United States,
1 - Closed-loop Versus Open-loop Advertising Competition In
Electronic Retailing: Operational And Organizational
Considerations
Dengpan Liu, Iowa State University,
This study examines two different types of dynamic advertising competition,
namely, closed-loop and open-loop, among e-retailing firms. In particular, we
focus on how the considerations of IT operations and organizational structure
would affect firms’ performance in dynamic advertising competitions. Using a
differential game framework, we find that firms can be better off engaging in the
closed-loop competition. Another interesting finding is that the advantage of
flexibility in closed-loop game may reduce as IT becomes more costly.
2 - Architecture Of In App Ad Recommender System
Anik Mukherjee, Indian Institute of Technology - Madras, India,
Increased adoption of smartphones has caused mobile advertising to be the
second-most revenue-generating medium among all forms of existing online
advertising. Appl developers try to monetize their apps by selling in-app ad-spaces
to the advertisers through various intermediaries such as ad-networks. Surveys
indicate that mobile ad campaigns are not as successful as they can be due to
inappropriate audience targeting and user-apathy toward such ads. This motivates
the need for a system, where both the parties gain from the in-app advertising
eco-system. So, we propose an architecture of design-science artifacts for an ad-
network, to meet the objectives of both these stakeholders.
3 - Procurement Policies For Mobile-promotion Platforms
Manmohan Aseri, University of Texas - Dallas, Richardson, TX,
75080, United States,
Mobile-Promotion platforms such as Cidewalk enable advertisers to directly
launch their personalized mobile advertising campaigns. These platforms contract
with advertisers to provide a certain number of impressions on mobile apps in
their desired sets of geographic locations within their desired time durations; the
execution of each such contract is referred to as a campaign. In practice,
campaigns arrive dynamically over time and the platform bids in real-time at an
ad exchange to fulfill their demands. Our analysis offers a rolling-horizon
procedure in which the platform periodically recomputes its procurement/bidding
policy and its policy for allocating the impressions to the campaigns.
WA27
201A-MCC
Humanitarian Operations Management
Sponsored: Manufacturing & Service Oper Mgmt
Sponsored Session
Chair: Alfonso J Pedraza-Martinez, Indiana University, 1309 E 10th
Street, Bloomington, IN, 47405, United States,
1 - Volunteer Management In Charity Storehouses
Alfonso J Pedraza-Martinez, Indiana University,
Kelley School of Business, 1309 East 10th Street, Bloomington, IN,
47405, United States, Maria Besiou
We study volunteer management at a large faith-based organization. The whole
supply chain operates exclusively with volunteers (from supply to delivery). We
focus our study on the preparation of beneficiaries’ orders by volunteers in a
storehouse. There are different categories of volunteers; some are more
experienced while others may work in the system for the first time. The
volunteers’ arrival in the system and their skills are uncertain. Using empirical
data we explore the drivers of on-time order fulfillment at the storehouse level.
WA27