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Technical Sessions – Monday July 11

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MC-05 IFORS 20<strong>11</strong> - Melbourne<br />

1 - A New Hybrid Method for Robotic Cyclic Scheduling<br />

Problems<br />

Farouk Yalaoui, Institut Charles Delaunay, ICD LOSI, University<br />

of Technology of Troyes, 12, Rue Marie Curie BP 2060, 10000,<br />

Troyes, France, farouk.yalaoui@utt.fr, Slim Daoud, Lionel<br />

Amodeo, Hicham Chehade<br />

The problem studied in this paper is a cyclic job shop with transportation<br />

robots, in which assembly tasks have to be assigned to robotic workstations<br />

and with the objective of minimizing the cycle time and to define the gripping<br />

strategies for each robot. To optimize the system, we have developed a hybrid<br />

ant colony optimization algorithm with a guided local search to enhance the<br />

performances. We have chosen the Howard’s algorithm to evaluate the solutions<br />

of our method and which aims to define the best combination of assigned<br />

assembly tasks and products for each robotic workstation.<br />

2 - A New Cost-based Mathematical Model for a Twomachine<br />

One-buffer Design Problem<br />

Hicham Chehade, Charles Delaunay Institute, University of<br />

Technology of Troyes, 12 Rue Marie Curie, 10000, Troyes,<br />

France, chehadeh@utt.fr, Yassine Ouazene, Alice Yalaoui<br />

The addressed paper presents a serial flow line with two machines and a finite<br />

intermediate buffer design problem. The processing times on each machine are<br />

deterministic and both failure times and repair times are assumed to be exponentially<br />

distributed. The availability of the system, the buffer average storing<br />

level and the throughput rate of the system are calculated. We develop a new<br />

cost-based mathematical model to find the optimal design of the machines and<br />

the buffer size. The proposed model is solved using Lingo solver. The obtained<br />

results are promising.<br />

3 - Equipment Selection and Buffers Sizing in Assembly<br />

Lines using a Strength Pareto Evolutionary Algorithm<br />

with a Fuzzy Logic Controller<br />

Lionel Amodeo, Charles Delaunay Institute, University of<br />

Technology of Troyes, 12 Rue Marie Curie BP2060, 10000,<br />

Troyes, France, lionel.amodeo@utt.fr, Hicham Chehade, Farouk<br />

Yalaoui<br />

In this paper, equipment selection and buffers sizing are considered in an assembly<br />

line design problem. Two objectives are considered: cost minimization<br />

and throughput rate maximization. For that, we first develop a SPEA-II<br />

algorithm. Then, we try to better set some parameters of the proposed algorithm.<br />

For that, we develop a fuzzy logic controller to set in an optimal way the<br />

crossover and mutation probabilities. We carry out several tests to assess the<br />

impact of the fuzzy logic controller. The numerical results show the advantages<br />

of the fuzzy logic controller with the SPEA-II algorithm.<br />

4 - Optimum Quality Planning In a Sustainable Production<br />

Environment<br />

Farhad Azadivar, Mechanical Engineering, University of<br />

Massachusetts Dartmouth, 285 Old Westport Rd, MA 02748,<br />

North Dartmouth, Massachusetts, United States,<br />

fazadivar@umassd.edu<br />

Recycling good parts recovered from returned products will not only support a<br />

sustainable production environment it may also optimize the total cost of meeting<br />

the demand with a combination of the primary and aftermarket products.<br />

The system under consideration consists of two production lines; one assembling<br />

primary products from newly fabricated parts and sub-assemblies, the<br />

other assembling aftermarket products from good returned parts. A model will<br />

be presented for estimation and optimization of the total cost of supplying the<br />

demand as a function of the planned production quality.<br />

� MC-05<br />

<strong>Monday</strong>, 16:00-17:30<br />

Meeting Room 104<br />

Sustainability and Service Provision<br />

Stream: Service Science and Sustainability<br />

Invited session<br />

Chair: Young Lee, Mathematical Sciences Department, IBM<br />

Research, <strong>11</strong>01 Kitchawan Road, 10598, Yorktown Heights, New<br />

York, United States, ymlee@us.ibm.com<br />

Chair: Grace Lin, IEOR Dept., WRO & Columbia University, 9<br />

Garey Drive, 10514, Chappaqua, NY, United States,<br />

gracelin.ny@gmail.com<br />

22<br />

1 - How Service Innovation Reshape Public Transportation<br />

and Mobility<br />

Hervé Mathe, ISIS The Institute for Service Innovation &<br />

Strategy, ESSEC business school, ESSEC BP 50105 Cergy,<br />

F-95021, Cergy Pontoise - Cedex, France, hpmathe@yahoo.com<br />

Developing sustainable transportation systems and mobility solutions raise specific<br />

questions and challenges. By exploring a series of recent attempts including<br />

Cyclocity, ZipCar, CityMobility, and Car sharing, we have identified and<br />

qualified three key steps of development and decision making processes: 1)<br />

market reading at user, payer, andprescriber’s levels; 2) combination of service<br />

content, physical support, and user relationship monitored over time; and 3)<br />

definition of acceptable value equation including provision of value investors,<br />

beneficiaries, and the society<br />

2 - Managing Roving Wildlife for Profit<br />

John Hearne, Mathematical and Geospatial Sciences, RMIT<br />

University, GPO Box 2476v, 3001, Melbourne, Victoria,<br />

Australia, john.hearne@rmit.edu.au<br />

There is an extensive literature on the ’tragedy of the commons’ and strategies<br />

to manage a common resource. Although there are similarities the following<br />

problem is different. Roving wildlife traversing private land is also a common<br />

resource but it can only be utilised by the owner of the land on which it is on<br />

at any given time. Can the actions of one landowner affect the profitability of<br />

activities on the land of others? These issues will be explored with various<br />

models.<br />

3 - Optimal coordination policy for a three echelon supply<br />

chain under price and effort sensitive market<br />

Manjusri Basu, Department of Mathematics, University of<br />

Kalyani, 741235, Kalyani, West Bengal, India,<br />

manjusribasu20<strong>11</strong>@gmail.com<br />

We consider a three echelon supply chain where demand depends on the selling<br />

price of the retailer and the individual or combine selling effort preferred by the<br />

channel members. We study a game theoretical model to examine the impact<br />

of rebate and effort on the pricing and sales decisions. First we study effect<br />

of instant rebate, where the consumer can cash in the rebate with virtually no<br />

effort. Then we discuss the effect of mail-in rebate, where some consumer effort<br />

is required to redeem the rebate. Effects of rebate and revenue sharing, and<br />

rebate and effort sharing are also discussed.<br />

� MC-06<br />

<strong>Monday</strong>, 16:00-17:30<br />

Meeting Room 105<br />

Routing and Planning<br />

Stream: Transportation<br />

Invited session<br />

Chair: Martin Savelsbergh, CSIRO, NSW 1670, North Ryde,<br />

Australia, Martin.Savelsbergh@csiro.au<br />

1 - Orienteering Problems with Time Windows given Dynamic<br />

Service Times and Profits<br />

Verena Schmid, Faculty of Business, Economics and Statistics,<br />

University of Vienna, Bruenner Strasse 72, 1210, Vienna,<br />

Austria, verena.schmid@univie.ac.at<br />

In this talk we will present an extension of the Orienteering Problem with Time<br />

Windows. We aim at finding a profitable tour, such that the resulting route<br />

is feasible with respect to time windows without violating a maximum tour<br />

length restriction and the total profit is maximized. Profits are not fixed but depend<br />

on the length of service time. Additionally, diversity in locations should<br />

be favored, so we consider the number of locations visited as a secondary objective.<br />

The resulting biobjective optimization model can then be solved using<br />

any multiobjective approach such as NSGA2.<br />

2 - Modeling the Profitable Mixed Capacitated Arc Routing<br />

Problem<br />

Cândida Mourão, Dep. Matemática, Instituto Superior de<br />

Economia e Gestão / Centro IO, Rua do Quelhas, 6, Gabinete

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