2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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SC71
Electric- Omni
Transportation, Public III
Contributed Session
Chair: Mehdi Zamanipour, University of Arizona, 7415 Seneca Ridge
Dr, McLean, VA, 22102, United States,
1 - Developing an Integrated Approach To Optimize Vehicle And
Driver Scheduling Problem With Equilibrium Constraint
Bisheng He, Southwest Jiaotong University, 111#, 1st Section,
Northern 2nd Ring Road, Chengdu, 610031, China,
, Xiaobo Liu, Gongyuan Lu,
Wei Xiao
We optimized vehicle and driver scheduling problem considering equilibrium
constraint to maintain their equal workload. An integer programming model was
established and solved by integrating a heuristic algorism and a commercial
solver. Comparison results indicated that this method could effectively improve
the scheduling efficiency and equilibrium based on a real world case from Ji’nan
Transit Company.
2 - How Tight Capacity Constraints Invoke Bounded Rationality And
How To Consider Bounded Rationality In Designing Dynamic
Capacitated Transit Service Network
Jiangtao Liu, Arizona State University, 2026 S Hammond Drive,
Apt 205, Tempe, AZ, 85282, United States,
Xuesong Zhou
This talk will discuss how tight capacity constraints invoke bounded rationality
and how to address bounded rational decision rules of travelers in a dynamic
transit service network with tight capacity constraints. Within a space-time
network, we propose an agent-based single-level integer linear programming
model, which can be further decomposed as two efficiently solvable subproblems
through Lagrangian decomposition.
3 - Study on The Taxi Fleet Of Electric Vehicles With Battery
Swapping
Lei Li, Zhejiang University, 866 Yuhangtang Rd, West Lake District,
Hangzhou, 310058, China, , Qingwei Jin
In this paper, we consider that a company is using electric vehicles with battery
swapping to satisfy the urban taxi traveling demand. We construct a choice model
based on the utility of the taxi drivers which reflects the adoption model of
electric taxi vehicles. Based on the adoption model, the company is trying to
maximize its profit based on the optimal decisions of battery capacity and service
price. We set up a revenue model to find these optimal decisions and consider the
impacts of technology advancements. We also extend this model to a mixed case
in which the swapping stations serves both taxis and private vehicles.
4 - Pricing Analysis And Optimization Of Mobility On Demand Service
Hao Zhou, Research Scientist, Ford Motor Company, 2101 Village
Road, Dearborn, MI, 48124, United States,
Mobility On Demand (MoD) is a new transportation system that allows users to
make on demand ride request using devices such as smartphone or tablet. The
MoD back-end service tries to dynamically schedule these requested rides to
maximize ride-sharing while minimizing waiting time. This research tries to
analyze 1) under what conditions such MoD system can be functioning efficiently,
and 2) what would be the right pricing scheme for this kind of MoD system.
5 - An Integrated Priority Optimization And Intelligent Traffic Signal
Control Model
Mehdi Zamanipour, University of Arizona, 7415 Seneca Ridge Dr,
McLean, VA, 22102, United States,
, Govind Vadakpat
In this research, an integrated priority and adaptive signal control model is
developed that can intelligently consider connected vehicles and priority eligible
vehicles at both intersection level and section level in a low connected vehicles
penetration rate environment. Fundamentals of shockwave theory and queue
estimation techniques are used in the mathematical model. Standard traffic
control methods including coordinated-actuated operation are taken in to
consideration. The study also conducts a sensitivity analysis on the Dedicated
Short Range Communication (DSRC) by virtually extending the range.
SC72
Bass- Omni
Supply Chain Mgt III
Contributed Session
Chair: Qinshen Tang, National University of Singapore, Business
School, I Business Link, Singapore, Singapore,
1 - An Empirical Analysis Of Supply Chain Finance Adoption
David Wuttke, EBS University, Burgstr. 5, Oestrich-Winkel, 65375,
Germany, , Eve Rosenzweig,
H. Sebastian Heese
We empirically test hypotheses derived, in part, from the literature on adoption of
Supply Chain Finance (SCF) by buyers and their suppliers. We identify payment
terms, payment terms extensions, and annual spend as important drivers of
adoption speed. We also examine the ways in which the institutional
environment of a supplier influences the speed of SCF adoption. In doing so, we
provide a fairly comprehensive set of insights for buyers who seek to implement
SCF with their suppliers.
2 - Models For Evaluating And Monitoring Supply Chain Network
Design Efficiency
Hakan Yildiz, Assistant Professor, Michigan State University,
Department of Supply Chain Management, 370 N Business
Complex, East Lansing, MI, 48824, United States,
, Sri Talluri, Jiho Yoon, John M Wassick
In order to evaluate and monitor the real life effectiveness of a new supply chain
network design, we employ a statistical control chart that monitors an integrated
performance index generated from data envelopment analysis (DEA), which
effectively considers multiple performance measures and the relationships
between them. In addition, this methodology is used to trigger the re-evaluation
of the network design. Moreover the clustering methods used can help
management focus on improvement strategies and resource allocations.
3 - Supply Chain Performance With A Target Oriented Retailer
Qinshen Tang, National University of Singapore, Business School,
I Business Link, Singapore, Singapore, ,
Gongtao Lucy Chen, Melvyn Sim
We study a supply chain with one supplier and one target-oriented retailer, who
decides the order quantity to maximize his ability to reach a target profit, which is
evaluated by a CVaR satisficing measure. We investigate how the retailer’s target-
oriented preference affects the supply chain performance. With a linear target
formation model, the supplier can significantly benefit from the retailer’s target-
attaining behavior. The supply chain can also perform better with a
target-oriented retailer than with a risk-neutral retailer. More interesting is, the
target-oriented retailer can sometimes help the supply chain achieve the same
efficiency level as in a centralized system.
SC79
Legends G- Omni
Health Care, Modeling III
Contributed Session
Chair: Hamoud Sultan Bin Obaid, PhD student, University of
Oklahoma, 1027 E Brooks St., Apt E, Norman, OK, 73071,
United States,
1 - Strategic Nurse Allocation Policies For A Pediatric
Intensive Care Unit
Osman Tuncay Aydas, University of Wisconsin-Milwaukee, 3202 N
Maryland Avenue, S466, Milwaukee, WI, 53202, United States,
Anthony D. Ross, Kaan Kuzu
We study integrated nurse staffing and scheduling in Pediatric Intensive Care
Units. Feasible nurse schedules are generated using algorithms for the mixed-
integer programming models developed in this work. Main objective is to reduce
nurse staffing costs while balancing the under- and over staffing risks. We include
a novel methodology for estimating nurse workloads by considering patient
acuity and activity in the unit.
2 - Wait Time Announcements At Hospital Emergency Departments
Marco Bijvank, University of Calgary, 2500 University Dr. NW,
Calgary, AB, T2N 1N4, Canada,
Zhankun Sun
A number of Canadian hospitals have started publishing live emergency
department (ED) wait times online in an effort to provide patients with
expectations on how long they will have to wait to be seen for non-urgent care
after initial assessment by a triage nurse. We accurately predict the state-
dependent wait times at emergency departments based on a busy-period analysis
for a multi-class, multi-server priority queue with delayed feedback. We illustrate
the robustness and impact of the predictor on patient flow and patient care with a
case study at four major hospitals in the Calgary area.
SC79