Technical Sessions – Monday July 11
Technical Sessions – Monday July 11
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