2016 INFORMS Annual Meeting Program

WC26

INFORMS Nashville – 2016

WC24

2 - A Multilocation Distribution System With Resupply And Vehicle Routing Stefan Minner, Technical University of Munich, Arcisstrasse 21, Munich, 80333, Germany, stefan.minner@tum.de, Belma Turan, Richard F. Hartl We analyze the problem of delivering perishable products from a depot to stores with the option of a second delivery per day. We determine initial delivery quantity, timing and quantity of resupply and the sequence of visiting stores. The stochastic inventory optimization problem is solved by stochastic dynamic programming, while the tour problem is solved using variable neighborhood search. The algorithm is tested on randomly generated test instances and a real- world scenario is investigated. The results show a considerable improvement compared to the “single-order” model. 3 - Minimizing Fuel Consumption And Gas Emissions In Urban Distribution With An Instantaneous Energy Model Hugo Tsugunobu Yoshida Yoshizaki, Associate Professor, University of Sao Paulo, Av. Almeida Prado Trav 2, 128, Cidade Universitaria, Sao Paulo, 05508-900, Brazil, hugo@usp.br, Anderson Oliveira Paschoal Route optimization is an important tool for reducing fuel consumption and green house gas emissions. This paper show test results from a Pollution Routing Problem (PRP) model applied to an actual problem of urban distribution in the city of São Paulo. An instantaneous energy model (CMEN) has been used to obtain objective function parameters considering road slopes (using Graphhopper maps), vehicle speed, payload, time windows, and traveled distances, showing 2 to 10% savings. Potential operational strategies been also been evaluated, as dropping first the heaviest delivery. 4 - Optimal Design For Block Stacking Warehouses Shahab Derhami, PhD Candidate, Auburn University, 3301 Shelby Center, Auburn, AL, 36849, United States, sderhami@auburn.edu, Jeffrey Smith, Kevin Gue Storing pallets of SKUs on top of one another on a warehouse floor is known as block stacking. The arrangement of lanes in the layout of this system significantly impacts utilization of the storage space. We present a new approach to measure waste of storage space for block stacking and develop a model to calculate the optimal lane depth with respect to space utilization for a layout-free storage area. We, also propose a mixed integer programming model to design the optimal layout for the warehouses using block stacking. Several effective solution techniques are developed to solve the model. 5 - A Location Based System For Managing Cart Operations At A Mail Facility Chun Hung Cheng, Associate Professor, Chinese University of Hong Kong, Rm 607 William MW Mong Eng Bldg, Shatin NT, Hong Kong, chcheng@se.cuhk.edu.hk, Yong-Hong Kuo We have developed a location based system for managing cart operations at a mail facility. The RFID-tag attachments to carts and reader mounts at the top of the building allows the facility operators to locate target carts quickly. We have also conducted an initial analysis of data collected using this technological infrastructure to understand issues on cart movements and operational efficiency. WC26 110B-MCC Information Systems II Contributed Session 1 - Why Do Firms Outsource Empirical Evidence For Resource Constraint And Slack Mechanisms Shivom Aggarwal, IE Business School, Instututo de Empresa S.L., CIF B82334319, Calle de Maria de Molina, 12 Bajo, Madrid, 28006, Spain, dr.shivom@gmail.com, Kiron Ravindran, Gautam Ray Why do firms outsource Information Technology (IT)? The literature is divided on whether IT Outsourcing is a cost-reduction strategy or a growth strategy. We argue that organizations can do both, depending on the degree of resource constraint and slack availability under certain environmental conditions (competition). We found empirical evidence of these underlying mechanisms using a longitudinal dataset on IT outsourcing contracts. We provide important implications for IS scholars working on IT Outsourcing and practitioners from outsourcing firms as well as IT vendors.

109-MCC Scheduling Providers and Patients Sponsored: Health Applications Sponsored Session

Chair: Nadia Lahrichi, Ecole Polytechnique de Montreal, 2900 Boul. Édouard-Montpetit, A-520.20, Montreal, QC, H3T 1J4, Canada, nadia.lahrichi@polymtl.ca 1 - Adaptive Appointment Scheduling For Patient Centered Medical Homes Ali Kemal Dogru, OM PhD Student, University of Alabama, Tuscaloosa, AL, 35487, United States, akdogru@crimson.ua.edu, Sharif Melouk Incorporating patient centered medical home (PCMH) principles, we develop an adaptive appointment scheduling model for a primary care setting. We propose a simulation optimization approach to sequentially schedule appointments to provide desirable schedules from the perspective of both patients and the medical practice. Our data-driven algorithm is efficient and takes patient preferences into account. We benchmark against myopic and optimal algorithms. Computational results show that the adaptive scheduling approach provides significant value.Key Words: Appointment Scheduling, Simulation, Patient Centered Medical Home 2 - Elective Surgery Scheduling Considering Patient Health Condition Joonyup Eun, Vanderbilt University Medical Center, Nashville, TN, 37212, United States, joonyup.eun@vanderbilt.edu, Sang-Phil Kim, Yuehwern Yih Surgery scheduling considering patient health condition can contribute to preventing patients from being exposed to the risk of sentinel events. This research describes an operating room planning problem that considers uncertainty in patient health condition. In addition, overutilization of operating rooms is restricted to reduce a hospital’s surgical costs. We employ the sample average approximation to identify the optimal assignment of surgeries and analyze the assignment based on Ceteris Paribus. 3 - Scheduling Physicians To Improve Patient Flow In Radiotherapy Centers Nadia Lahrichi, Ecole Polytechnique de Montreal, nadia.lahrichi@polymtl.ca When a patient is referred to a radiotherapy center, a sequence of tasks (consultation with the physician, a CT scan and the treatment planning) take place. This phase is referred to as the pre-treatment and is followed by the treatment per se. Bottlenecks in such centers are often related to the unavailability of one of the human resources. Here, we focus on improving the flow of patients during the pre-treatment phase through physician scheduling. We consider uncertainty related to the arrival rate of patients and their profiles. To solve this problem, we develop a stochastic Tabu search algorithm. It appears to provide very high quality solutions when compared to the solutions obtained by CPLEX.

WC25 110A-MCC Logistics III Contributed Session

Chair: Chun Hung Cheng, Associate Professor, Chinese University of Hong Kong, Rm 607 William MW Mong Eng Bldg, Shatin NT, Hong Kong, chcheng@se.cuhk.edu.hk 1 - Identifying Collaborative Shipping Opportunities Jeroen Belien, KU Leuven, Warmoesberg 26, Brussel, 1000, Belgium, jeroen.belien@kuleuven.be, Stefan Creemers, Robert Boute Collaborative shipping, where companies bundle their transport loads, is a growing trend in logistics. We present a tool that enables the quick identification of potential partners based on their geographical compatibility, even when the database of shipment lanes is very large. The tool allows the detection of bundling, backhauling, and roundtrip opportunities, as well as “collect-and/or- drop” opportunities where shipments are collected and/or dropped off en route. The tool is currently being used (among others) by Tri-Vizor, a facilitator and orchestrator of horizontal logistics partnerships, but is also applicable for any company that is looking for collaborative shipping partners.

435