Technical Sessions – Monday July 11

3 - A Model for Dynamic Budget-constrained Capacitated
Facility Location and Network Design Problem
Abdolsalam Ghaderi, School of Industrial Engineering, Iran
University of Science & Technology, Khabgahe Khatam, Tehran,
Iran, Islamic Republic Of, ab_ghaderi@iust.ac.ir, Natashia
Boland, Mohammad Saeed Jabalameli
In this paper, a budget-constrained dynamic capacitated facility locationnetwork
design problem is investigated that minimize the total travel costs for
customers and operating costs of capacitated facilities and network. This problem
deals with the determination of the optimal time and location to open capacitated
facilities and design of the underlying network, simultaneously when
demand and cost parameters are time varying and there is a budget constraint
on investment in facilities and links for each period during planning horizon.
Also, an algorithm is proposed to solve some instances.
4 - Finding Critical Facility Location of Commercial Facilities
in Demand-declining Urban Area
Yuran Choi, Systems and Information Engineering, University of
Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8537, Tsukuba,
Japan, r1030173@risk.tsukuba.ac.jp, Tsutomu Suzuki
Our focus is on maximal covering of location preventing problem, which considers
r interdictions due to disruption or management crisis. This study aims to
identify the most important commercial facility for the demands of the system
so the system can retain the highest coverage after the interdictions considering
the social exclusion which its location could result. It is possible to discuss the
necessity of the participation of governments for preventing critical shops from
disruption based on the result of this study.
� FC-07
Friday, 15:15-16:45
Meeting Room 106
Quality
Stream: Contributed Talks
Contributed session
Chair: Lianjie Shu, Faculty of Business Administration, University of
Macau, Taipa, Macau, ljshu@umac.mo
1 - Evaluation of Average Run Lengths of Adaptive EWMA
Procedures Under Linear Drifts
Lianjie Shu, Faculty of Business Administration, University of
Macau, Taipa, Macau, ljshu@umac.mo, Yan Su, Kowk-Leung
Tsui
This paper extends the adaptive exponentially weighted moving average
(AEWMA) schemes to the monitoring of linear drifts in the mean from the
monitoring of step mean changes. A numerical procedure based on the integral
equation approach is presented for computing the average run length (ARL)
of AEWMA charts under linear drifts in the mean. The comparison results
show that AEWMA charts have better ARL performance than the other control
charts in many situations. Some guidelines for designing AEWMA charts are
presented.
2 - A Fault Detection of Multivariate Cyclic Signals using
Kernel Regression Analysis
Seunghwan Park, School of Industrial Management Engineering,
Korea University, Anam-dong Seongbuk-Gu, Jeonpagwan 101,
Science Campus, 136-701, Seoul, Korea, Republic Of,
udongpang@korea.ac.kr, Jun Seok Kim, Rohae Myung,
Sung-Shick Kim, Jun-Geol Baek
To identify faults in the semiconductor manufacturing process, the analysis of
univariate cyclic signals has been conducted. However, a profile process has a
multivariate data structure that consists of time and variable axes, so it is hard
to analyze of it. First, we conduct the adjustment of length and the unfolding
of axes for reduction of the size of data. Second, we use kernel regression
analysis in order to build a fault detection algorithm. Finally, we compare the
performance of proposed algorithm with other.
3 - Proposal for Development of the Perceptual Map of
Socio-environmental Risks using Multivariate Tools
and Resampling Methods
Moacyr Machado Cardoso Junior, Production Department,
Aeronautics Institute of Technology - ITA, R Licinio Rodrigues
IFORS 2011 - Melbourne FC-11
Alves 114, Chácara Jafet, 08730661, Mogi das Cruzes, São
Paulo, Brazil, moacyr@ita.br, Rodrigo Scarpel
This work presents a new way to obtain perceptual map for environmental and
social risks under psychometric paradigm and multivariate techniques. Perceptual
map included Brazilian endemic diseases, climatic and geologic extreme
events, technologies, transportation, environmental pollutants and habits
in nine significant dimensions for risk perception studies. Multidimensional
Scaling (MDS) was used with Procrustes analysis and resampling tests in order
to obtain confidence regions. Results showed that the proposed perceptual map
was efficient in portraying the risk perception.
4 - Reliability Analysis of N-policy, K-out-of-N: G Machining
System with Warm and Cold Spares
Rekha Choudhary, Mathematics Dept., Govt. Engg. College,
110, Swarn Jayanti Nagar, 321001, Bharatpur, Rajasthan, India,
rekhaparth2003@yahoo.co.in
The present investigation deals with a Markov model for analyzing the reliability
of N-policy, K-out—of—N:G Machining system with warm and cold
spares, which are provided to replace the failed machines. The machines are
assumed to fail in M-modes. We have considered two cases for reliability analysis,
with repair and without repair. An inverse Laplace transform is used to
solve the simultaneous differential equations for nonrepairable case. A generalized
analytic function for system reliability is obtained. We have used Runge-
Kutta Method to analyze the reliability of repairable system.
� FC-11
Friday, 15:15-16:45
Meeting Room 112
Integer Programming Models in Production,
Inventory
Stream: Integer Programming
Invited session
Chair: Rosklin Juliano Chagas, CEFET - MG, Belo Horizonte, Minas
Gerais, Brazil, rosklinjuliano@gmail.com
1 - The Integer Programming Model for Solving Inventory
Routing Problem with Zone Based Objective Function
Pawel Hanczar, Department of Logistics, University of
Economics, ul. Komandorska 118/122, 54-608, Wroclaw,
pawel.hanczar@ae.wroc.pl
The paper presents a integer linear programming model for solving the problem
of inventory routing. The situation where a manufacturer orders transportation
services from an external company is taken into consideration. The transportation
company is paid by the manufacturer, but only for the farthest location
on the route plus a standing charge for every additional location visited. In
the paper the practical application of the proposed model to planning inventory
routes is described. Additionally, the integration of these model with the SAP
ERP system is discussed.
2 - Petroleum Production Optimization - Formulated as a
MINLP Problem with Call Back to State-of-the-art Simulators
for Model Update
Vidar Gunnerud, Thomas Angellsgate 5, 7011, Trondheim,
vidargu@ntnu.no
The purpose of this study is to develop a optimization algorithm, which will be
included in a existing decision support tool available for daily production optimization
by engineers at a Statoil operated oil and gas field. I present a MINLP
problem, where the integer parts is related to on/off and routing of wells, and
the nonlinearities origins from the well performance, pressure drop through the
subsea pipes and the well routing. The two first of these nonlinearities will
be approximated with quadratic functions, and these functions will be updated
iteratively by callbacks to the simulators.
3 - Demand Driven Throughput Assessment for Hunter
Valley Coal Chain
Mohsen Reisi, School of Mathematical and Physical Sciences,
The University of Newcastle, Mathematics Building, 2308,
127