Technical Sessions – Monday July 11

We study the online version of the classic uniform machine scheduling problem
to minimize total weighted completion time with nonpreemptive setting.
Using the linear programming based scheduling technique, we present a deterministic
online scheduling policy for that model, and derive performance
guarantees that is related to the number of machines and the ratio between the
largest machine’s speed and the total machine’s speed. Our algorithm naturally
extends several approaches to uniform machine scheduling. To the best of our
knowledge, it is the first competitive ratio for this problem.
4 - An Equilibrium Model of Distribution Supply Chain Network
with Inventory Transshipment
Jing Zhou, Management Science and Engineering, Nanjing
University, 210093, Nanjing, Jiangsu, China,
houcaishen@gmail.com
In this paper, an equilibrium model of distribution supply chain network with
inventory transshipment was developed based on capacity constraints equilibrium
model of supply chain network. The model was calculated by a simple
case with two wholesalers, two retailers and two consumers. It confirmed that
inventory transshipment would cause an increase in total cost of distribution
supply chain. However, the total cost would decrease when increasing the cost
of inventory transshipment. To restrain abnormal behaviors, some strategies
were suggested to increase the cost of inventory transshipment.
� MA-17
Monday, 11:30-13:00
Meeting Room 214
Robust Multi Criteria Decision Analysis
Stream: Multicriteria Decision Analysis and
Multiobjective Optimisation
Invited session
Chair: Jutta Geldermann, Professur für Produktion und Logistik,
Universität Göttingen, Platz der Göttinger Sieben 3, D-37073,
Göttingen, Germany, geldermann@wiwi.uni-goettingen.de
1 - Evaluation based Resource Allocation to Improve Security
in Container Line Supply Chain
Dawei Tang, Manchester Business School, M13 9UR,
Manchester, United Kingdom, dawei.tang.wh@googlemail.com,
Dong-Ling Xu, Shan-Lin Yang, Jian-Bo Yang
Container Line Supply Chain (CLSC) is a dominant yet high vulnerable way
to transport cargo globally, whilst resources to improve its security are always
limited. To improve CLSC security efficiently, a model is developed to allocate
resources optimally for CLSC. Different from other Resource Allocation (RA)
models, the model proposed has 2 major features: 1) resources are allocated
based on security evaluation, thus areas with lower security have higher priority
to get resources; 2) the proposed model can handle imprecise, uncertain and
semi-structured information involved in RA processes.
2 - Stochastic and Robust Multicriteria Decision Support
for Supply Planning of Renewable Resources
Susanne Wiedenmann, Professur für Produktion und Logistik,
Universität Göttingen, Platz der Göttinger Sieben 3, 37073,
Göttingen, Germany,
susanne.wiedenmann@wiwi.uni-goettingen.de, Sven Krumke,
Jutta Geldermann
Supply planning for the industrial use of renewable resources confronts the decision
maker with specific challenges. We study models and policies for coping
with incomplete and uncertain information and discuss various ways to cope
with the uncertainty. Since this involves a couple of conflicting goals which
cannot be scalarized in a straightforward way, this naturally leads to a multicriteria
optimization problem. We analyze this problem from the viewpoints of
robust, stochastic and online optimization and provide computational results.
3 - Application of Non-Linear Optimization for the Determination
of Optimal Plant Setups for Biofuel Production
Lars-Peter Lauven, Chair of Production and Logistics,
Georg-August-Universitaet Goettingen, Platz der Goettinger
Sieben 3, 37073, Goettingen, Germany, llauven@gwdg.de, Jutta
Geldermann
IFORS 2011 - Melbourne MA-18
Second Generation biofuels are often based on complex synthesis reactions
with numerous products. Superlinearly rising specific transportation costs for
large biofuel plants using biomass as input material counteract the desirable
effects of sublinearly rising economies of scale. Modeling these two drivers of
biofuel production costs is necessary to determine an optimal choice of plant
size and product upgrading setup. The resulting non-linear optimization problem
is solved using the CONOPT solver, which is based on the Generalized
Reduced Gradient algorithm.
� MA-18
Monday, 11:30-13:00
Meeting Room 215
Applications of DEA in Firms and Industries
Stream: Data Envelopment Analysis
Invited session
Chair: Antonio Perrelli, Finance and Economics Dept.,
ELETROBRAS Chesf, R. Carlos Pereira Falcão 743 ap 103,
51021350, Recife, PE, Brazil, antonioperrelli@hotmail.com
1 - Forecasting Electric Energy Consumption and Benchmarking
Performance of Selected Buildings in the University
of Santo Tomas
Oliver Gagarin, Facilities Management Office, University of
Santo Tomas, Espana, 1008, Manila, Philippines,
orgagarin@mnl.ust.edu.ph, Nancy Eleria
The electric energy consumption (EEC) is significant in the building past and
future performances. Regression analysis and ANN are used to determine the
effects of physical and climatic variables in EEC. The building performances
are determined by Multi-Stage DEA. It has identified that the building size,
number of enrolled students, building age, and peak-load time are the physical
factors affecting EEC. The study concluded that some buildings are technically
inefficient because they are having EEC more than what their age and peak-load
time would require in a monthly operation.
2 - The Application of Improved DEA Model in Evaluation
of China’s Production Comprehensive Efficiency
Yuquan Cui, School of Mathematics, Shandong University, Shan
Da Nan Lu Number 27, 250100, Jinan, Shandong, China,
cuiyq@sdu.edu.cn
In this paper, we improved DEA model. According to the function of output
data and input data, we determine the form and number of input variables. If
input variables are too many, we can use principal component analysis to reduce
the dimensions, and then we use the improved DEA model to calculate.
We use the improved DEA model to evaluate and analyze the efficiency of the
production environment in China in recent years. Actual evaluation results are
excellent agreement with the actual situation.
3 - The Determinants of Firms’ Efficiency in the International
Textile and Clothing Industry
Magdalena Kapelko, Department of Business Administration,
Universidad Carlos III de Madrid, Calle Madrid 126, Office
7.0.56, 28903, Getafe (Madrid), Spain,
magdalena.kapelko@gmail.com
This study examines the factors that can explain efficiency of international textile
and clothing industry. We rely on the original database of 5477 observations
for the firms that operated in different world regions from 1995 to 2004. We
use truncated regression with bootstrap to infer on the relationship of DEA efficiency
to some factors that based on the theory are related to efficiency. Our
evidence shows that efficiency is positively associated with intangibles, size,
textile sector and economic development. Other variables such as leverage and
economic integration contribute negatively.
4 - The Use of Data Envelopment Analysis as a Regulation
Tool for the Energy Transmission Sector in Brazil
Antonio Perrelli, Finance and Economics Dept., ELETROBRAS
Chesf, R. Carlos Pereira Falcão 743 ap 103, 51021350, Recife,
PE, Brazil, antonioperrelli@hotmail.com
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