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Technical Sessions – Monday July 11

Technical Sessions – Monday July 11

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TA-<strong>11</strong> IFORS 20<strong>11</strong> - Melbourne<br />

3 - Increasing Stability and Flexibility of Vehicle and Crew<br />

Schedules in Public Transport<br />

Bastian Amberg, Information Systems, Freie Universitaet Berlin,<br />

Garystr. 21, 14195, Berlin, Germany,<br />

bastian.amberg@fu-berlin.de, Boris Amberg, Natalia Kliewer<br />

In public bus transport delays occur frequently during execution of vehicle and<br />

crew schedules. Then planned schedules can become infeasible and the operations<br />

control has to initiate expensive recovery actions. We present offline<br />

approaches to increase robustness of vehicle and crew schedules. In order<br />

to absorb possible delays we propose models and methods increasing delaytolerance<br />

(stability). Further we consider methods providing additional possibilities<br />

for low-cost recovery actions within the schedules (flexibility). The<br />

approaches are compared with regard to planned cost and robustness<br />

4 - Incorporating Stability and Flexibility Aspects in Crew<br />

and Aircraft Scheduling<br />

Lucian Ionescu, Information Systems, Freie Universität Berlin,<br />

Garystr. 21, 14195, Berlin, Germany,<br />

Lucian.Ionescu@fu-berlin.de, Natalia Kliewer<br />

In this talk we discuss robustness aspects of crew and aircraft schedules. The<br />

scope of the talk is two-folded. In the first part we propose an indicator for<br />

stability of crew and aircraft schedules based on a stochastic model for delay<br />

propagation. In a second stage we discuss an extension of the approach by considering<br />

swapping opportunities of crews and aircraft during operations. Swaps<br />

are used to adhere to cost-efficient schedules while still hedging against possible<br />

reactionary delays. This enables us to both consider stability and flexibility<br />

simultaneously during scheduling.<br />

� TA-<strong>11</strong><br />

Tuesday, 9:00-10:30<br />

Meeting Room <strong>11</strong>2<br />

Simulation Optimization<br />

Stream: Simulation - Sponsored by I-SIM<br />

Invited session<br />

Chair: Loo Hay Lee, Industrial & Systems Engineering Dept.,<br />

National University of Singapore, 10 Kent Ridge Crescent, <strong>11</strong>9260,<br />

Singapore, iseleelh@nus.edu.sg<br />

1 - Optimal Computing Budget Allocation (OCBA) Algorithm<br />

for constraint and multi-objective problem<br />

Loo Hay Lee, Industrial & Systems Engineering Dept., National<br />

University of Singapore, 10 Kent Ridge Crescent, <strong>11</strong>9260,<br />

Singapore, iseleelh@nus.edu.sg, Ek Peng Chew, Chun-Hung<br />

Chen<br />

In this talk, we will share some of the new development in OCBA. We have<br />

developed algorithms for constraints optimization problem as well as multiobjective<br />

problem. Correlation information between performance will be considered<br />

in the algorithm.<br />

2 - OCBA Framework for AHP in Supplier Selection Problem<br />

Ek Peng Chew, Industrial and Systems Engineering, Faculty of<br />

Engineering, National University of Singapore, 10 Kent Ridge<br />

Crescent, <strong>11</strong>9260, Singapore, isecep@nus.edu.sg, Loo Hay Lee<br />

In this work, we look at a supplier selection problem using Analytical Hierarchy<br />

Process (AHP). However, as the information is clouded by a lot of uncertainty,<br />

the solution generated by AHP might not be the best one. We propose an<br />

optimal computing budget allocation (OCBA) framework to reduce the degree<br />

of uncertainty in the information efficiently so that solution obtain will meet<br />

the goal of the decision makers with high confidence.<br />

3 - Augmenting Regression with Direct Stochastic Gradient<br />

Estimates<br />

Michael Fu, Smith School of Business, University of Maryland,<br />

Van Munching Hall, 20742, College Park, MD, United States,<br />

mfu@umd.edu, Huashuai Qu<br />

In the sequential response surface methodology approach to simulation optimization,<br />

regression plays a central role. Traditional regression assumes the<br />

only data available are measurements of the dependent variable for each value<br />

of the independent variable. We propose an augmented linear regression model<br />

that incorporates direct stochastic gradient estimates, comparing it with the traditional<br />

model both analytically and numerically on a simple queueing model.<br />

34<br />

4 - Power Management in Buildings Facilitated by<br />

Simulation-based Policy Improvement<br />

Qing-Shan Jia, Department of Automation, Tsinghua University,<br />

CFINS, 100084, Beijing, China, jiaqs@tsinghua.edu.cn,<br />

Jian-Xiang Shen, Zhan-Bo Xu, Xiaohong Guan<br />

Buildings are one of the largest consumers of energy, accounting for between<br />

30-40% of global energy use. In this talk, we schedule solar power, wind power,<br />

combined cooling, heating, and power generation (CCHP), battery, and high<br />

temperature chiller to satisfy the load on electricity, sensible heat load, and latent<br />

heat load in buildings with the minimal average cost. The rollout method<br />

is applied to improve from given base policies through simulations. Numerical<br />

results show that the method obtains policies better than the base policies.<br />

� TA-12<br />

Tuesday, 9:00-10:30<br />

Meeting Room 205<br />

Production Systems<br />

Stream: Contributed Talks<br />

Contributed session<br />

Chair: Kazuyoshi Tsurusaki, Faculty of Economics, Nagasaki<br />

University, 4-2-1 Katafuchi, 850-8506, Nagasaki, Japan,<br />

turusaki@nagasaki-u.ac.jp<br />

1 - A New Production Planning System by Advance Demand<br />

Information Based on Unfulfilled-order-rate for<br />

Uncertain Demand<br />

Nobuyuki Ueno, Dept. of Management Information Systems,<br />

Prefectural University of Hiroshima, 1-1-71 Ujina-Higashi,<br />

Minami-Ku Hiroshima-City, 734-0003, Hiroshima, Japan,<br />

ueno@pu-hiroshima.ac.jp, Koji Okuhara<br />

We propose a production planning model with uncertain demand based on<br />

unfulfilled-order-rate by Advance Demand Information. It is formulated as<br />

a nonlinear stochastic problem which minimizes the sum of production cost<br />

and inventory holding cost subject to a probabilistic constraint and linear constraints.<br />

We develop the new upper bound to estimate unfulfilled-order-rate<br />

when inventory in two periods is correlated and a near-optimal solution algorithm<br />

on the basis of relaxation strategy. The technique decreases inventory<br />

more than by base-stock policy with multi-period under the conditions.<br />

2 - Simulation and Control of Shrinkages in the Ready Mix<br />

Concrete Production Process<br />

Fredy Huayta, Ingeniería Industrial, Pontificia Universidad<br />

Católica del Perú, Av. Universitaria 1801, Lima, Peru,<br />

fhuayta@pucp.edu.pe, Wilmer Atoche, Fernando Ormachea<br />

Article shows the ready-mix concrete production process, which identifies the<br />

shrinkage, generated in the unit operation. Monitoring indicators are identified<br />

and shrinkage, are simulated using computational tools process. Also calculated<br />

the economic losses generated by the shrinkage and the water wasted in<br />

the process. The company analyzed processes 1000 tons per day, in which they<br />

identify points of leakage, we measured the losses generated in the process,<br />

were determined by mass balance calculations, was formulated and finally the<br />

model simulated the losses of the unit operation.<br />

3 - Proposed Improvements in Non Direct Process of a<br />

Socks Company<br />

José Rau, FCI, PUCP, Av. Universitaria 1851, Peru,<br />

jrau@pucp.edu.pe<br />

Improvements presented correspond to an average manufacturing plant, which<br />

showed a low productivity of human and material resources. It were chosen and<br />

described development in reduce consumption of energy resource and increase<br />

productivity, progress in an air system to transport and carry on knitting and<br />

innovation in improving the organization of work and material consumption.

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