Informs 2015

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INFORMS Philadelphia – 2015
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SA75
75-Room 204B, CC
Digital Manufacturing
Cluster: Advanced Manufacturing
Invited Session
Chair: Binil Starly, Associate Professor, North Carolina State university,
406 Daniels Hall, Raleigh, NC, 27607, United States of America,
1 - Mining Dynamic Recurrences in Nonlinear and Nonstationary
Systems for Innovative Manufacturing
Hui Yang, Associate Professor, Pennsylvania State University, 310
Leonhard Building, Industrial and Manufacturing Eng., State
College, PA, 16801, United States of America,
Yun Chen
Nonlinear dynamics arise whenever multifarious entities of a system cooperate,
compete, or interfere. Effective monitoring and control of nonlinear dynamics
will increase manufacturing system quality and integrity, thereby leading to
significant economic and societal impacts. This talk will present novel nonlinear
methodologies that mine dynamic recurrences from in-process big data for real-
time manufacturing system informatics, monitoring, and control.
2 - In Situ Printing – An Alternative Three Dimensional Laden
Structure Fabrication Method
Yigong Liu, Drexel University, 3141 Chestnut St., Mechanical
Engineering & Mechanics (MEM), Philadelphia, PA, 19104,
United States of America,
Recapitulating a structure that mimics the anatomic geometries and intratissue
cell distribution as in live organism is a major challenge of tissue engineering
nowadays. This article presents a Solid Freeform Fabrication (SFF) based in situ
printing method which enables simultaneous cross-linking at ambient
environmental conditions (temperature and pressure).3D laden structure with
stability time of 14 days in cell culture environment was achieved by the in situ
printing method.
3 - Maskless Fabrication of Cell-laden Microfluidic Chips
Qudus Hamid, Drexel University, 3141 Chestnut St, Philadelphia,
PA, 19104, United States of America, Wei Sun,
Chengyang Wang, Yigong Liu
The utilization of the microfabrication technique to fabricate advanced computing
chips has exponentially increased in the last few decades. Though many
conventional microfabrication techniques today uses very harsh chemicals, the
authors believe that the manipulation of system components and fabrication
methods may aid in the utilization of the microfabrication techniques used in
fabricating computer chips to develop advanced biological microfluidic systems.
SA76
76-Room 204C, CC
Sustainable Infrastructure
Sponsor: Simulation
Sponsored Session
Chair: Hakob Avetisyan, Assistant Professor, California State University,
Department of Civil and Environmental En, 800 N. State College Blvd,
Fullerton, CA, 92834, United States of America,
1 - A Genetic Algorithm Based Multi-objective Resource Utilization
Model for Construction Projects
Amir Movafegh, California State University, Department of Civil
& Environmental Engi, 800 N. State College Blvd., Fullerton, CA,
92834, United States of America,
Hakob Avetisyan
Construction projects are traditionally scheduled assuming unlimited resources.
Low efficiency of resource use and the ignorance of limited resource availability
are the problems of these techniques. The current trend is towards sustainable
construction where the resource-constrained scheduling technique seems more
promising. In this study a multi-objective resource utilization model was
developed to improve the efficiency level of resources and minimize the peak
resource demand of the project.
2 - Use of Bayesian Network for Improving Value for Money Analysis
Deepak Sharma, Assistant Professor, Department of Civil and
Environmental Engineering, California State University Fullerton,
800 N State College Blvd, Engineering Building 311, Fullerton,
CA, 92831, United States of America,
Value for Money (VfM) analysis is a gateway to Public Private Partnerships (PPPs).
Although VfM is the most versatile tool to justify the use of PPPs it has two
limitations. First, the analysis cannot integrate qualitative and quantitative
outcomes which allows for subjective decision making. Second, the analysis is
quiet about risks that are exogenous and have low probability of occurrence. This
work uses Bayesian Networks (BN) and simulation to address the shortcomings.
3 - Non-permutation Flowshop with Dependent Set-up Times and
Missing Operations
Shaya Sheikh, Visiting Assistant Professor, University of
Baltimore, 10 Ecoway Ct., Apt. 1A, Towson, MD, 21286,
United States of America,
In this paper, a mixed-integer linear programming (MILP) model is developed to
solve non-permutation flowshop problem with objective of minimizing makespan
and increasing service level. Setup times are assumed to be dependent to
sequence of jobs on each stage and jobs are allowed to skip one or more stages.
The effectiveness and robustness of the model is analyzed and assessed using a
case study. A heuristic for finding initial solutions with promising quality is
presented.
4 - Environmental System Modeling and Simulation of Atmospheric
Fate of Sulfur-dioxide
Sudarshan Kurwadkar, Assistant Professor, California State
University - Fullerton, 800 N. State College Blvd, Fullerton, CA,
92833, United States of America,
The objective of this study is to illustrate the transformation and deposition of
various sulfur compounds using STELLA software for simulations and
visualizations to demonstrate the effectiveness of a system-based approach to
model environmental processes. This study documents the effectiveness of
STELLA software in modeling selected environmental processes such as
transformation and deposition of sulfur dioxide in the atmosphere.
5 - Defining Sustainability Index for Construction Equipment and
Minimizing Costs and Emissions
Hakob Avetisyan, Assistant Professor, California State University,
Department of Civil and Environmental Eng, 800 N. State College
Blvd, Fullerton, CA, 92834, United States of America,
The aim of the research was to develop a measure for assessing the sustainability
of construction equipment as “Sustainability Index” (SI) that can be used as a
component for construction projects sustainability criteria. The other goal was
using SI for minimizing costs and emissions from construction equipment through
math modeling. Extended analyses were conducted to collect data and through
surveys to statewide contractors. Results indicate that similar approach can be
applied nationwide.
SA77
77-Room 300, CC
Supply Chain Management I
Contributed Session
Chair: Niu Yu, Huazhong University of Science & Technology,
1037 Luoyu Road, Wuhan, China,
1 - The Value of Demand Forecast Updates in a Supply Chain under
Asymmetric Information
James Cao, University of Saskatchewan, 118 Chubb Cove,
Saskatoon, SK, S7T0E7, Canada,
We explore the role of forecast updating in a supply chain with asymmetric
demand information, where a supplier sells to a downstream retailer who benefits
from demand updates when sales are realized in each period. Although the
supplier is unable to observe the demand, it is possible to infer the state of
demand through the retailer’s ordering activity. In each period the supplier
attempts to extract as much profit as possible based upon her best guess regarding
the state of the market.
2 - Dynamic Resource Allocation in Supply Chain Network Systems
Nasim Nezamoddini, SUNY at Binghamton, Binghamton, NY,
United States of America, Sarah Lam
The robust network design with two different types of uncertainties including
uncertainties in environment and system itself is studied. The multi-commodity
supply chain network with suppliers, manufacturing plants, distribution centers
and markets is considered as a typical network system. The mathematical model is
introduced reflecting effect of stochastic variables such as demand, facilities and
performance failures. The new method is presented to solve presented multi-stage
dynamic model.
SA75