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INFORMS Philadelphia – 2015

296

TB35

35-Room 412, Marriott

Using Technology to Enhance Guest Experiences and

Performance in Hospitality Management

Cluster: Hospitality, Tourism, and Healthcare

Invited Session

Chair: Alex Susskind, Cornell University, 350 Statler Hall, School of

Hotel Adminstration, Ithaca, NY, 14853, United States of America,

ams76@cornell.edu

1 - Picturing Hotels: Attributes of Hotel Images That Attract

Consumer Attention Online

Stephani K. A. Robson, Senior Lecturer, Cornell University,

255 Statler Hall, Ithaca, NY, 14853, United States of America,

skr4@cornell.edu

, Breffni Noone

Images have been shown to be an important element in the online hotel choice

process. This exploratory study uses eye tracking technology to investigate the

attributes of hotel images that attract consumers’ eye fixations during a

naturalistic search for lodging, with implications for hotel marketing strategies.

2 - The Connection Between Restaurant Performance and

Customer-facing Technology in Restaurants

Alex Susskind, Cornell University, 350 Statler Hall, School of

Hotel Adminstration, Ithaca, NY, 14853, United States of

America,

ams76@cornell.edu

In this study, the relationship between customer-facing technology, customer

satisfaction and restaurant performance are examined. The findings suggest that

the use of customer-facing technology in a full-service restaurant experience is

positively connected to customers’ satisfaction with their service experience in the

restaurant, higher average spending in the restaurant and a higher tip percentage

paid to the servers.

3 - Does Customer-facing Technology Reduce Service Time

in Restaurants?

Ben Curry, Data Scientist, Ela Carte, Ela Carte Headquarters, San

Francisco, CA, United States of America,

bcurry@elacarte.com

Looking at how table turn time and service labor usage was affected by

customers’ use of customer facing technology in restaurants, I found that

customer-facing technology notably reduced table turn time when customers

ordered their meals through the table top device; that figure increased more for

customers who ordered their meals and settled their bills using the table-top

devices.

TB36

36-Room 413, Marriott

Disaster Relief and Humanitarian Logistics

Sponsor: Public Sector OR

Sponsored Session

Chair: Chris Zobel, Professor, Virginia Tech, Business Info. Technology,

880 W. Campus Dr., Suite 1007, Blacksburg, VA, 24061-0235,

United States of America,

czobel@vt.edu

Co-Chair: Andrew Arnette, Assistant Professor Of Decision Sciences

And Governor Geringer Scholar, University of Wyoming, 1000 E.

University Ave, Laramie, WY, 82071, United States of America,

aarnette@uwyo.edu

1 - Management of Blood Supplies During Humanitarian Crises

Cigdem Gonul Kochan, Ohio Northern University, 525 South

Main Street, Ada, OH, 45810, United States of America,

c-kochan@onu.edu

, Shailesh Kulkarni, David R. Nowicki

This study presents a combined problem of allocating and routing the available

blood supplies at the central blood bank to a given set of hospitals with uncertain

demand. We develop two multi-product newsvendor (MPNP) –traveling salesman

(TSP) models. We examine and compare the results of both models.

2 - A Markov Decision Process Model for Equitable Distribution of

Supplies under Uncertainty

Lauren Davis, North Carolina A&T State University,

1601 E. Market St., Greensboro, NC, United States of America,

lbdavis@ncat.edu

, Sefakor Fianu

Food banks are one of many non-profit organizations assisting in the fight against

hunger. Most of the food distributed by the food bank comes from donations

which are received from various sources in uncertain quantities at random points

in time. We present a finite horizon decision-making model that determines the

optimal allocation of supplies to demand locations (charitable agencies) given

stochastic supply.

3 - Exploring a Community’s Perception of Resilience and its Effect

on Public Policy

Roberta Russell, Professor, Virginia Tech, 1007 Pamplin Hall,

0235, Blacksburg, VA, 24060, United States of America,

rrussell@vt.edu,

Yuhong Li, Michelle Seref

Resilience has been used in many disciplines to describe the ability of an entity to

withstand the effects of a disaster, to bounce back from a disaster, or to change

and adapt to a new reality post-disaster. This research uses text mining to explore

the use of resilience and related terms in newspaper and other media to describe

disasters and subsequent recovery efforts. Particular views of resilience are

correlated with community actions related to building resilience for the next

disaster.

4 - Improving Resource Pre-positioning to Support Disaster

Relief Operations

Andrew Arnette, Assistant Professor Of Decision Sciences and

Governor Geringer Scholar, University of Wyoming, 1000 E.

University Ave, Laramie, WY, 82071, United States of America,

aarnette@uwyo.edu,

Chris Zobel

This research seeks to address a need for improving asset location modeling for

opening overnight shelters in response to natural disasters. Such pre-positioning

is crucial for organizations that provide immediate relief to impacted populations,

and we discuss a mathematical programming approach that improves on previous

attempts to determine more optimal placements for a combination of resources.

TB37

37-Room 414, Marriott

Health Care Modeling and Optimization X

Contributed Session

Chair: Songinan Zhao, Student, Kansas State University, 1600 Hillcrest

Dr., Apt 4, Manhattan, KS, 66502, United States of America,

songnian@ksu.edu

1 - Use of Simulation-optimization Technique in Operating

Room Scheduling

Musa Demirtas, Research And Teaching Assistant, Western New

England University, 1215 Wilbraham Road, Springfield, MA,

01119, United States of America,

demirtasmusa@gmail.com

,

Mohammad Dehghani, Thomas K. Keyser

In hospitals, operating Rooms (ORs) are the most important and costly

departments, and generate a big portion of revenues. This study focuses on

maximization of ORs utilization and minimization of inpatients’ length of stay to

decrease costs and increase patients’ satisfaction. Since the arrival of emergency

patients may disrupt the schedule, we developed a reactive simulation-

optimization model to schedules that optimally allocate limited resources to

multiple ORs.

2 - Optimal Delivery and Pickup Planning for Patients with Chronic

Diseases using Drones

Seon Jin Kim, University of Houston, Dept. of Industrial

Engineering, Houston, TX, 77204, United States of America,

sonjin64@gmail.com,

Gino Lim, Jaeyoung Cho

Patients with chronic diseases are required to visit clinics for a routine health

exam. The cost of chronic diseases has been increasing every year, which became

a burden to patients, government, and health insurance companies. We present a

robust optimization model to reduce healthcare costs and improve quality of

healthcare service using drones. The model finds optimal routes of drones to

deliver medicine and pickup necessary samples to analyze patients’ health.

3 - Application of Theory of Constraints in Blood Banking

Harshal Lowalekar, Assistant Professor, Indian Institute of

Management Indore, Rau-Pithampur Road, Indore, MP, 453556,

India,

harshal@iimidr.ac.in

We discuss the application of the Theory of Constraints Thinking Processes

(TOCTP) methodology in managing inventory at blood banks. Using the Thinking

Processes approach the root-cause behind the common inventory problems at

blood banks like high shortage and wastage of blood products, high operating

expenses and low revenue levels is identified. A TOC based solution is then

proposed to address the root-cause.

4 - Study of Optimal Control Strategies for Visceral Leishmaniasis

Songinan Zhao, Student, Kansas State University, 1600 Hillcrest

Dr., Apt. 4, Manhattan, KS, 66502, United States of America,

songnian@ksu.edu,

Chih-hang Wu, Yan Kuang, David Ben-arieh

Visceral Leishmaniasis (VL) is a vector-borne disease which is transmitted by

sandflies and it is the second-largest parasitic killer after Marilia. Mathematical

models were proposed to assist in the control of spread of VL; however,

quantitative conditions for the control of VL transmission are not studied. This

paper develops a general mathematical model for VL disease transmission system,

performs bifurcation analysis to discuss control conditions, and calculates optimal

control strategies.

TB35