Informs 2015

493 / 552

INFORMS Philadelphia – 2015
496
WE55
55-Room 108B, CC
Design Engineering
Contributed Session
Chair: Jayash Koshal, Bloomberg LP, 425 Washington Blvd, Jersey City,
NJ, 07310, United States of America,
1 - Performance Improvement of Average Access Time and Cache
Memory Access Time
Mohammad Shamsu Alam, Assistant Engineer, ADN Telecom, 17,
Red Crescent Concord, Tower, Mohakh, 121/1&2, Tejkoni Para,
Tejgaon, Dhaka, 1215, Bangladesh, ,
Mirza Moazzem Hossain, Jamal Uddin Ahmed
The cache is a small amount of high speed memory. Cache is placed between the
CPU and main memory. In this view, we consider in this paper to optimize the
cache memory access time which eventually optimizing the average access time
and also if the cache memory size doubled then the cache memory access time
should also double but cache memory access time will only increase 10% from
the previous value.
2 - The Thermal Contact Resistance Testing Method Study of Thin
Film Materials
Xiaogang Li, BUAA, Rm 318, Weimin Building, 37 Xueyuan Rd.,
Haidian Dist., Beijing, China,
As there are many factors affecting the thermal contact resistance, In engineering
application, the thermal contact resistance of the solid interfaces is usually
obtained by testing. In this paper, the method of measuring the thermal contact
resistance of the thin film materials is presented. According to this method, we
use copper heat flux meter, graphite columnar specimens and graphite thin film
sample to measure the thermal contact resistance between the graphite thin film
material
3 - Data-enhanced Prediction of Marketing Strategies: Does Product
Repairability Play a Role?
Mostafa Sabbaghi, Graduate Research Assistant, University at
Buffalo, SUNY, 437 Bell Hall, Buffalo, NY, 14260-2000,
United States of America, Sara Behdad
The existing manufacturers’ policies in making products difficult and expensive to
repair and not adequately share the repairing information with end-users and
independent repair businesses make repair a challenging process. This paper aims
to characterize the product sales rate and post purchase usage behavior to
investigate the impact of product reparability on consumers’ future purchase
decisions and the long-term profitability of manufactures.
4 - Response Surface Modeling Approaches for Multi-response
Design Parameter Optimization Problems
Gölten Gügayaz, Research Assistant, Middle East Technical
University, Industrial Engineering Department, Ankara, Turkey,
Gulser Koksal
Performances of response surface modeling approaches such as Ordinary Least
Squares, Weighted Least Squares, Generalized Least Squares, Multivariate
Regression, and Seemingly Unrelated Regression are analyzed for multiple-
response design parameter optimization problems. Weaknesses are discussed and
improvements are suggested.
5 - Maximum Entropy Utility Function Assessment using
Renyi Entropy
Jayash Koshal, Bloomberg LP, 425 Washington Blvd, Jersey City,
NJ, 07310, United States of America,
Vijitashwa Pandey
Maximum entropy methods, used to assess probability distributions, can also be
used for assessing utility. When utility values are known for discrete values of the
attributes, a problem arises of fitting a curve to these points. We use Renyi
entropy instead of Shannon’s entropy to allow different weighting of different
regions of utility functions. We show how Maximum Renyi Entropy formulation
can be used for utility functions and compare the results with Maximum
Shannon Entropy functions.
WE56
56-Room 109A, CC
Manufacturing III
Contributed Session
Chair: Hossein Badri, PhD Student, Wayne State University, Industrial
and Systems Engineering Dep, Detroit, MI, 48201, United States of
America,
1 - A Spatiotemporal Outlier Detection Framework for Diagnostic
Quality Monitoring of Image Sequences
Mohammad Abed Motasemi, UTSA, 6685 UTSA Blvd.,
San Antonio, TX, 78249, United States of America,
Adel Alaeddini
Statistical quality monitoring has mainly remained with less attention in images
and high dimensional data application. We propose a novel spatiotemporal outlier
detection framework for monitoring the quality of image sequences. Extensive
analysis based on a real application in a manufacturing facility is conducted to
demonstrate the performance of our proposed methodology in detecting various
types of outliers.
2 - The Cause and Effect of Material Handling Systems on
Operational Performance
Yunjung Suh, PhD Candidate, Kyungpook National University,
102-1001 Maechunro 2Gil, 19, Bukgu, Daegu, 702-793, Korea,
Republic of, Jaewoo Chung
This study investigates the causal relationships among actual firm’s motives,
degrees of material handling automation systems(MHS) and operational
performance based on surveys in Korea. The study classifies and measures the
usage of MHS and identifies actual firms’ motives to introduce MHS with a fit to
the firm’s business strategy. The result presents that there is an associative
relationship among firm’s strategy, MHS and operational performance with the
mediating effect of MHS.
3 - Shifting Bottleneck Heuristic for Stochastic Job Shop
Scheduling Problems
Hossein Badri, PhD Student, Wayne State University, Industrial
and Systems Engineering Dep, Detroit, MI, 48201, United States
of America, , Milad Zafarnezhad,
Kai Yang
Job shop scheduling problems are among the hardest known combinational
optimization problems. In this research a shifting bottleneck heuristic algorithm is
developed for stochastic job shop scheduling problems. To evaluate the
performance of the developed algorithm, the heuristic is tested with randomly
generated instances. The results indicate that the developed heuristics performs
very well for minimizing makespan in stochastic job shop problems.
WE57
57-Room 109B, CC
Stochastic Methods Applied to Power
System Operations
Sponsor: ENRE – Energy I – Electricity
Sponsored Session
Chair: Zhi Zhou, Argonne National Laboratory, 9700 South Cass Ave.
Bldg 221, Lemont, Il, 60437, United States of America,
1 - Two-stage Robust SCUC with Mixed-integer Recourse
Lei Wu, Clarkson University, 8 Clarkson Ave, Potsdam,
United States of America,
This talk presents a two-stage robust SCUC approach to adaptively and securely
respond to continuous load/wind uncertainty intervals and discrete N-K
contingency security criteria. Corrective capabilities of both non-quick-start and
quick-start units are formulated. The proposed model is solved by the
combination of modified BD method and C&CG algorithm. Case studies illustrate
the effectiveness of the proposed robust SCUC approach.
2 - Flexible Operation of Batteries in Power System Scheduling with
Renewable Energy
Audun Botterud, Argonne National Laboratory, 9700 S Cass Ave,
Lemont, IL, United States of America, Nan Li,
Emil Constantinescu, Canan Uckun, John Birge, Kory Hedman
We present a two-step framework to evaluate the value of energy storage in
power systems with renewable generation. First, we formulate a stochastic unit
commitment model with wind power forecast uncertainty and energy storage.
Second, we derive a flexible schedule for energy storage in economic dispatch
with limited look-ahead horizon. A case study demonstrates the benefits of
battery storage in systems with renewable resources and the effectiveness of the
proposed operational strategy.
WE55