Informs 2015

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INFORMS Philadelphia – 2015
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2 - Quantifying the Impacts of City Logistics Strategies in the Mexico
City Metropolitan Area
Miguel Jaller, Assistant Professor, University of California, Davis,
One Shields Ave, Ghausi Hall, 3143, Davis, CA, 95616, United
States of America, Sergio Sanchez,
Joanne Green
This paper discusses the assessment of the potential impacts of city logistics
strategies proposed for the Metropolitan Area of the Mexico City Valley: off-hour
delivery programs; cargo consolidation to decrease empty trips; and preferential
truck routes. The analyses consider the impacts on travel distances, travel times,
accidents, emissions and health impacts under various scenarios. The paper
discusses the proposed strategies, the methodology, information and the
assumptions adopted.
3 - Factors Influencing the Performance of Urban
Consolidation Schemes
Sonke Behrends, Chalmers University of Technology, Technology
Management and Economics, Logistics and Transportation,
Gothenburg, Sweden,
Many urban consolidation centers (UCC) have struggled to operate on a
commercial basis and are either terminated or depend on government subsidies.
Hence there is a general scepticism about their commercial viability among
practitioners. This paper contributes to a better understanding under which
preconditions UCCs can be feasible. This paper quantifies a UCCs impact on the
key stakeholders in urban logistics and analyses the relevance of several factors
for the UCC performance.
4 - Land Use Patterns, Logistics, and Emissions
Erica Wygonik, RSG, 55 Railroad Row #101,
White River Junction, VT, 05001, United States of America,
, Nathan Mayes, Anne Goodchild
This work compares and contrasts two approaches to quantifying the
relationships between landuse, logistics, and emissions. These two approaches are
used to consider of a variety of delivery strategies, including personal travel to
stores and delivery services on cost, CO2 emissions, as well as criteria pollutants.
Conclusions can be drawn as to the most efficient distribution strategies under
different urban forms.
5 - Economic and Environmental Comparison of Different Order
Scheduling Policies
Dincer Konur, Assistant Professor, Missouri University of Science
and Technology, 206 EM 600 W. 14th St., Rolla, MO, 65409,
United States of America, , James Campbell
This study analyzes a continuous review inventory model with multiple carriers
under carbon trading regulation. We analyze and compare the optimal carrier
selection and order splitting decisions with single sourcing and two alternative
delivery schedules for multi-sourcing, namely, sequential ordering and sequential
delivery. For each of the three order scheduling policies, a solution method is
proposed and these policies are compared in terms of both economic and
environmental performance.
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68-Room 201B, CC
Electric Vehicles II
Sponsor: Transportation, Science and Logistics
Sponsored Session
Chair: M. Hadi Amini, PhD Fellow, Carnegie Mellon University,
5700 Centre Ave, Apt 317, Pittsburgh, PA, 15206,
United States of America,
1 - Routing Aspects of Electric Vehicle Users and Their Effects on
Network Performance
Shubham Agrawal, Purdue University, West Lafayette, IN 47906,
United States of America, Amit Kumar,
Srinivas Peeta, Hong Zheng
This study investigates the dynamic equilibrium for mixed traffic involving
Battery Electric Vehicles (BEVs) and Internal Combustion Engine Vehicles
(ICEVs). The BEVs’ routing behavior with preference to minimize battery
consumption and reduce range anxiety is modeled and analyzed. Due to the
energy efficiency considerations in route selection for BEVs, the network
performance in terms of total travel time is analyzed under different market
penetrations of BEVs.
2 - A Continuum Approximation Model for Electric Vehicle Sharing
Xiaopeng Li, University of South Florida, Department of Civil and
Environmental Engineering, 4202 E. Fowler Avenue, Tampa, FL,
33620, United States of America,
Jiaqi Ma, Jianxun Cui, Fang Zhou, Amir Ghiasi
This paper proposes a Continuum Approximation (CA) model for design of a one-
way Electrical Vehicle (EV) sharing system that serves a metropolitan area. This
model determines the optimal EV sharing station locations and the corresponding
EV fleet sizes to minimize the comprehensive system cost (including station
construction investment, vehicle maintenance, transportation, and vehicle
balancing) under stochastic and dynamic trip demands.
3 - Modeling Network Equilibrium with Mixed Flows of Electric and
Gasoline Vehicles
Xiaozheng He, Research Associate, Purdue University,
Nextrans Center, 3000 Kent Avenue, West Lafayette, IN, 47906,
United States of America, , Srinivas Peeta,
Hong Zheng
This study develops a variational inequality formulation for the network
equilibrium of mixed traffic flows consisting of electric and gasoline vehicles,
where energy consumption is modeled as a function of traffic flow and considered
in the drivers perceived travel cost. Numerical examples illustrate the impact of
energy prices on network equilibrium and provide insights for policy-making to
promote the usage of electric vehicles.
4 - On the Effect of Electric Vehicle Parking Lots’ as Dispatchable
Loads on the Power System Loss
M. Hadi Amini, PhD Fellow, Carnegie Mellon University, 5700
Centre Ave, Apt. 317, Pittsburgh, PA, 15206, United States of
America, Marija D. Ilic, Orkun Karabasoglu
We investigate the effect of parking lots characteristics (charging rate, capacity in
terms of number of EVs, and location in the power network) on the network’s
hourly loss and daily energy loss. Parking lots are modeled as EV demand
aggregators. To this end, we define four scenarios to determine the effect of
charging rate and distribution of EVs over the network on the system loss. We
also evaluate the effect of EV parking lot’s location on the system loss.
MA69
69-Room 201C, CC
Facility Logistics III
Sponsor: TSL/Facility Logistics
Sponsored Session
Chair: Pratik Parikh, Associate Professor, Wright State University,
207 Russ, 3640 Col Glenn Hwy, Dayton, OH, 45435,
United States of America,
1 - Multiple-shelf Space Optimization in Automated
Dispensing Cabinets
Nazanin Esmaili, PhD Candidate, University of Pittsburgh,
1048 Benedum Hall, Pittsburgh, PA, United States of America,
Bryan Norman, Jayant Rajgopal
We propose a novel MIP approach for stocking Automated Dispensing Cabinets
(ADCs) in a hospital so as to maximize savings in expected staff effort required to
retrieve out-of-stock items from central storage. We investigate both position-free
and grid-based position paradigms to allocate shelf space optimally under
constraints designed to reduce selection errors. We also develop model
enhancements to facilitate solving large real-world instances, and investigate the
robustness of the results.
2 - Consideration of Product Exposure in Retail Design
Corinne Mowrey, Wright State University, 3640 Colonel Glenn
Hwy., Dayton, OH, 45435, United States of America,
Pratik Parikh, Kevin R. Gue
We discuss an approach to quantify exposure, what the customer sees; an
important aspect of retail design. We consider that some locations are exposed to
shoppers more frequently than others, referred to as the intensity of exposure,
and explore how intensity changes with rack orientation. Accounting for bi-
directional traffic flow, we explore the effect rack orientation has on exposure and
investigate how optimal rack orientation for a pathway changes when the
amount of directional flow varies.
3 - Covering and Connectivity Constraints in Designing a
Loop Flow Pattern
Ardavan Asef Vaziri, Professor, California State University,
Northridge, 18111 Nordhoff Street, Northridge, CA, 91330-8245,
United States of America, ,
Gilbert Laporte
The shortest loop covering the workcenters in a facility layout is an instance of
the generalized traveling salesman problem. The optimal solution to this problem
is a promising design for most types of conveyors and power-and-free systems
where the length of the loop is the main driver of the total costs. This design
further provides a promising solution to minimize the total loaded and empty
flow in systems such as automatic guided vehicles. Our formulation is in the favor
of this requirement.
MA68