2016 INFORMS Annual Meeting Program

SB79

INFORMS Nashville – 2016

2 - Optimizing Array Of Shipping Cartons For Ecom DCS Manjeet Singh, Research Manager, DHL Supply Chain, 570 Polaris Parkway, Westerville, OH, 43082, United States, manjeet.singhin@dhl.com Dimensional weight charges previously restricted to large packages are now applied to all packages. This has a large impact on Ecom DCs, we found that even in a small piece pick and pack operation on an average over 50% of shipments are now subjected to dimensional weight. Therefore, optimizing the array of shipping cartons can have a huge impact in combating dimensional weight charges. This study puts a special focus on large shipments, which are subjected to more severe charges. Additionally, it also makes recommendations on when to utilize made to order packaging. 3 - How To Design Effective Supply Chain Strategies Based On The Product And Demand Characteristics Mojtaba Mahdavi, PhD Student, University of Auckland,

these systems for the movement and storage of goods. 2 - The Impact Of U. S. Chassis Supply Models On Drayage Productivity

Samaneh Shiri, Research Assistant, University of South Carolina, 101 pickens st. APt. G2, Columbia, SC, 29205, United States, shiri@email.sc.edu, Nathan Huynh The U.S. container chassis supply market is changing and new models are emerging recently. Supply chain stakeholders such as drayage companies could be affected by evolving models. To study this effect on drayage operation productivity, drayage problem is formulated as an extension of the multiple traveling salesman problem with time window. The proposed solution method is based on tabu search. SB71 Electric- Omni Transportation, Public II Contributed Session 1 - The Simultaneous Vehicle Scheduling And Passenger Service Problem With Flexible Dwell Times Allan Larsen, Associate Professor, Technical University of Denmark, DTU, Building 115 Room 003, Lyngby, DK-2800, Denmark, alar@dtu.dk, Joao F Fonseca, Evelien van der Hurk, Roberto Roberti, Stefan Røpke In the SVSPSP-FDT the original timetables of the trips can be changed (i.e., shifted and stretched) in order to minimize a new objective function that aims at minimizing the operational costs plus the waiting times of the passengers at transfer points. The SVSPSP-FDT establishes the possibility of changing trips’ dwell times at important transfer points based on expected passenger flows. A compact mixed integer linear formulation of the SVSPSP-FDT capable a solving small instances as well as a meta-heuristic approach to solve medium/large instances are presented. The proposed solution methods are tested on a set of real-life instances from the greater Copenhagen area. 2 - A Static Repositioning Problem With Two Commodities For Bike-sharing Systems Tiantian Zhu, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore, zhut0003@e.ntu.edu.sg Xiaofeng Nie In order to handle the issue of static repositioning for bike-sharing systems, a novel integer optimization model is formulated, defining repositioning activities as transferring both bikes and lockers. To handle larger-scale cases, a new cluster- first route-second heuristic is proposed. Based on a set of modified instances from the literature, the heuristic is tested to show its efficiency. 3 - Impact Of Carpool Lane Availability And Traffic Conditions On Peer-to-peer Ridesharing Demand Sara Masoud, University of Arizona, 1300 E Fort Lowell Road, # A214, Tucson, AZ, 85719, United States, saramasoud@email.arizona.edu, Neda Masoud, Young-Jun Son This research examines the impact of carpool lane availability and traffic conditions on ridesharing demand using an agent-based simulation model. The proposed work uses a many-to-one ride-matching algorithm in which each rider can travel by means of transferring between multiple drivers’ vehicles. A ride- matching algorithm is embedded in the agent-based microscopic traffic simulation software AnyLogic®. Trip tables derived from a real travel demand data set of Los Angeles, California have been used to calibrate the simulation model. The results of this research will shed light on the types of urban settings that are more receptive towards ridesharing services.

12 Grafton Road, Auckland, New Zealand, m.mahdavi@auckland.ac.nz, Tava Olsen

This paper analyzes how different characteristics of product and demand impact the capacity of supply chain strategies for efficiency and responsiveness. In our modeling work, we particularly discuss the impact of product life cycle, demand variability, contribution margin, and stock-out rate on both inventory and lead- time decisions.

SB79 Legends G- Omni

JFIG Paper Competition II Sponsored: Junior Faculty JFIG Sponsored Session Chair: Andrew Schaefer, Rice University, 6100 Main Street - MS 134, Houston, TX, 77005, United States, andrew.schaefer@rice.edu 1 - JFIG Paper Competition II Andrew Schaefer, Rice University, 6100 Main Street - MS 134, Houston, TX, 77005, United States, andrew.schaefer@rice.edu The 2016 JFIG paper competition features paper submissions from a diverse array of talented junior faculty members. The prize committee evaluated submissions based on the importance of the topic, appropriateness of the approach, and significance of the contribution. After careful review, the prize committee selected a group of finalists to present their research in one of the two JFIG sessions. For information on the finalists and their papers, please refer to the online program. 2 - Simple Bayesian Algorithms For Identifying The Best Arm In A Multi-armed Bandit Daniel Russo, Northwestern University, Evanston, IL, Dan.Joseph.Russo@gmail.com This talk considers the optimal adaptive allocation of measurement effort for identifying the best among a finite set of options or designs. An experimenter sequentially chooses designs to measure and observes noisy signals of their quality with the goal of confidently identifying the best design after a small number of measurements. I propose three simple Bayesian algorithms for adaptively allocating measurement effort. Each is shown to have strong performance in numerical experiments, and a unified analysis establishes each satisfies a strong asymptotic optimality property. 3 - Recovering Statistical Guarantees Via The Empirical Robust Optimization Henry Lam, the University of Michigan, khlam@umich.edu We investigate the use of distributionally robust optimization (DRO) in recovering the statistical guarantees provided by the best benchmark that is in line with the central limit theorem, for the feasibility of expected value constraints. We show that the divergence ball, suitably empirically defined, and with its size calibrated by the quantile of a chi-square process excursion, amounts to such guarantees. The construction of this ball deviates from the standard mechanism of DRO in that the ball can have low, or even zero probability of covering the true distribution. Rather its performance is explained by connecting the dual of the DRO with a generalization of the empirical likelihood method. 4 - Staffing to Stabilize the Tail Probability of Delay in Service Systems with Time-Varying Demand Yunan Liu, North Carolina State University, Raleigh, NC, yliu48@ncsu.edu Abstract to come.

SB72 Bass- Omni Supply Chain Mgt II Contributed Session

Chair: Mojtaba Mahdavi, PhD Student, University of Auckland, 12 Grafton Road, Auckland, New Zealand, m.mahdavi@auckland.ac.nz 1 - Optimal Procurement Design For A National Brand Supplier In The Presence Of Store Brand Competition Xiang Fang, Associate Professor, University of Wisconsin- Milwaukee, 3202 North Maryland Avenue, Milwaukee, WI, 53211, United States, fangx@uwm.edu, Xinyan Cao We consider a supply chain consisting of a national brand supplier and a retailer which intends to develop its own store brand. We develop a game-theoretic framework to analyze the strategic interaction between the two players in the presence of asymmetric information.

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