Informs 2015

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INFORMS Philadelphia – 2015
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3 - Optimal Maintenance Policy with Repair Time under Warranty
Minjae Park, Hongik University, 72-1 Sangsu-Dong,
Mapo-Gu, Business School, Seoul, 121-791, Korea, Republic of,
This study formulates a warranty cost model for the repairable products when an
age replacement policy is adopted in cooperation with the renewing minimal
repair-replacement warranty and studies the optimal choice of the preventive
replacement age. Under the renewing minimal repair-replacement warranty,
either minimal repair or replacement is performed depending on the length of
repair time when the product failures occur during the warranty period.
WE76
76-Room 204C, CC
Simulation and Optimization Applications
Contributed Session
Chair: Hossein Hashemi, Graduate Research Assistant, Southern
Methodist University, 3101 Dyer Street, Dallas, TX, 75205,
United States of America,
1 - Mathematical Analysis for Tomato Spotted Wilt
Virus Transmission
Yan Kuang, Kansas State University, Manhattan, KS, 66502,
United States of America, Songinan Zhao,
David Ben-arieh, Chih-hang Wu
Tomato spotted wilt virus (TSWV) is a plant infecting virus and impacts many
food and ornamental crops in both quantity and quality aspects, resulting in crop
disease epidemics of worldwide economic significance. TSWV is transmitted
particularly by thrips, the most efficient of which is West Flower Thrip (WFT).
This research is aimed to use mathematical models to study the disease
transmission effects. Through the preliminary results, we discuss the impacts of
potential mitigation strategies.
2 - A Farmers Markets Location Allocation Framework for Enhanced
Public Health
Hoyoung Na, University of Arizona, 8131 N Midnight Way,
Tucson, AZ, 85741, United States of America,
Sojung Kim, Young-jun Son,
Langellier Brent
The goal of this study is to propose a new location allocation framework of
farmers markets (FMs) to enhance public health, by introducing FMs into food
deserts which have a limited access to healthy food resources. The proposed
framework adopts the theory of planned behavior (TPB) under an agent-based
simulation (ABS) platform for food choice behavior modeling of individuals. The
framework is demonstrated via AnyLogicÆ ABS software with the 2007 Food
Attitudes and Behaviors Survey dataset.
3 - A Network Size-Reduction Methodology for Stochastic Prediction
of Wildfire Propagation
Mohammad Hajian, PhD, Northeastern University, Dept. of
Mechanical and Industrial Eng., 360 Huntington Avenue, Boston,
MA, 02115, United States of America, ,
Peter Kubat, Emanuel Melachrinoudis
Each year, thousands of wildfire events throughout the US threaten life and
property. In a fire event, it is important to make the most effective decision under
time pressure. This requires a fast and accurate prediction of the fire propagation,
taking into account uncertain factors such as wind. In this research, we model the
wildfire propagation as stochastic shortest path and present a network reduction
methodology to effectively predict the wildfire traversal time.
4 - An Enhanced Global Optimization Method for a PV-Diesel-Battery
Hybrid Power System
Siew Fang Woon, Universiti Utara Malaysia, 06010 Sintok,
Kedah, Malaysia, Sie Long Kek,
Muhammad Nazri Abu Bakar
Non-linear constrained discrete-valued optimal control problems are known to
have multiple local optima that require global optimization methods to find the
best solution. We developed a global optimization method by embedding an
improved discrete filled function technique into a computational optimal control
algorithm. This proposed method improves the computational efficiency in
determining a near global optimal solution for the operating cost of a PV-diesel-
battery hybrid power system.
5 - Multi-agent Learning Approach for Online Calibration of Real-time
Traffic Network Management System
Hossein Hashemi, Graduate Research Assistant, Southern
Methodist University, 3101 Dyer Street, Dallas, TX, 75205, United
States of America, Khaled Abdelghany
The paper introduces a novel formulation and a solution methodology for the
problem of online calibration of simulation-based Dynamic Traffic Assignment
(DTA) models. The methodology calibrates the model considering multiple
inconsistency sources including the time-dependent demand pattern and the
traffic flow propagation models. It adopts a reinforcement learning approach to
determine an efficient activation schedule for the different model adjustment
modules.
WE77
77-Room 300, CC
Decision Analysis for Supply Chains
Contributed Session
Chair: Robert Inman, General Motors, MC 480-106-RE1, 3
0500 Mound Road, Warren, MI, 48090, United States of America,
1 - The Nexus Between GDP, Population Growth/fuel Prices in the
United States
Fesseha Gebremikael, PhD Student, UGPTI, P.Box 6050,
Fargo, ND, 58102, United States of America,
, Joseph Zmerekovsky,
Karen Froelich, En Sue Lee
The linkage between GDP and VMT, population growth, and fuel prices, has been
strong for quite some time, irrespective of the ups and downs of the national
economics of the developed societies, particularly the United States. Linear
regression model will be used to test empirically the nexus between VMT and the
related variables. Data will be collected from the World Bank, BEA, EIA and other
relevant sources /compiled to gauge the change over time.
2 - An Integrated Model of Location and Safety Stock Placement
Liwen Cui, PhD Candidate, Tsinghua University,
Room 615, Shunde Building, Beijing, 100084, China,
Zuo-jun Max Shen
We study the integrated location and safety stock placement problem, and design
an efficient dynamic programming algorithm to solve the problem. From
analytical analysis and numerical studies on real supply chain data, we obtain
some interesting managerial insights.
3 - Performance Outcomes and Success Factors of Healthcare
Industrial Vending Solutions
John Kros, Professor Of Marketing And Supply Chain
Management, East Carolina University, 3205 Harold Bate
Building, Greenville, NC, 28590, United States of America,
Healthcare firms face considerable pressure to efficiently and effectively manage
their inventory. Industrial vending machine solutions, a specific form of VMI, are
one solution. IVM includes automated drug distribution systems and medical
supply dispensing systems (e.g., Pyxis). Two-hundred nine healthcare supply
chain managers were used to test the theoretical model. Results show complex
interactions of the enablers with one another and in their relationship with
perceived success.
4 - Ordering Problems with Demand Forecast Updating and
Supply Constraints
Meimei Zheng, Nanyang Technological University,
50 Nanyang Avenue, Singapore, 639798, Singapore,
, Kan Wu
This paper investigates an extension of the newsvendor model with demand
forecast updating under supply constraints. The retailer prefers to postpone the
order for improved demand accuracy. However, the postponement is associated
with a price to the supplier and thus is this situation, we investigate the
optimal ordering decisions based on demand forecast updating, increased
purchasing cost, and restrictions on the ordering time and quantity.
5 - Product Complexity and Supply Chain Design
Robert Inman, General Motors, MC 480-106-RE1, 3
0500 Mound Road, Warren, MI, 48090, United States of America,
Dennis Blumenfeld
Assembling a product requires each and every part. Compared to assemblers of
simple products, manufacturers of complex products are much more sensitive to
supply chain delays. This heightened vulnerability to supply chain disruptions
should lead complex product assemblers to design less risky supply chains. This
paper models how product complexity drives the likelihood of production
disruption and provides insights for supply chain design.
WE77