Again, All Awards Given to Yaşar IE!
On 21 June 2017, performed by TMMOB Chamber of Mechanical Engineers İzmir Branch, students from universities in İzmir and Manisa participated with 13 finishing projects in total. As a result of the exhibition and competition, our students received the first three awards this year like last year.
We would like to congratulate everyone who was a part of the projects that we share the project information below and we wish them a continuation of success.
1st Award: Annual Production Planning and Scheduling Problem – Philip Morris Sabancı Cigarette and Tobacco Farming Industry and Trade Inc.
Students: Emre Bulut, Cansın Bayar, Elif Dolmen, Oytun Cevre, Elay Gülleroğlu
Academic Advisors: Doç. Dr. Deniz Türsel Eliiyi, Yard. Doç. Dr. Gizem Mullaoğlu, Damla Kızılay, Özgün Öztürk
Company Advisors: Ahmet Onur Akgül, Şenol Mullaoğlu
In this project, a production planning problem of a cigarette manufacturer Philsa is handled. The aim of this study is to create a decision support system that prevents time loss because of making manually in a factory by minimising Days of Inventory Level (DOI) for each SKU and maximising machine’s capacities. After the problem had been formulated mathematically, it was solved by using IBM ILOG CPLEX optimization program. As a result of researches on production planning and multi-objective optimization, a decomposition method has been applied to address the problem. At the end of the project, a decision support system was established that automatically provided the best production plan by different scenarios in the factory.
2nd Award: Fleet Deployment and Speed Optimization in Arkas Shipping Line Problem – ARKAS Container Transport S.A. – BIMAR Information Technology Services S.A.
Students: Ezgi Acar, Atacan Peker, Efe Kenan Keskiner, Hazel Puza, Zeynep Gürmen
Academic Advisors: Öğr. Gör. Dr. Efthymia Staiou, Sel Özcan Tatari
Company Advisors: Eşref Akpınar, Ceyhun Güven
Fleet deployment and speed optimization problem is a significant planning problem for liner shipping companies. The aim of this project is to minimize the total cost for Arkas Line and the idle capacity of each vessel while assigning available vessels in the fleet to appropriate services with optimal speed values. An assignment model is considered and applied to deal with the fleet deployment and speed optimization problem. To be able to verify the proposed mathematical model, our model is solved for a toy problem which has simplified data. After the verification of our mathematical model, our problem is solved by using real data. The assignment decisions of vessels and the total cost, which are found as a result of the mathematical model, is presented in this report. In addition, a Decision Support System is developed for the company. In this Decision Support System, the user can view the parameters of vessels and services, add new vessel and service parameters, run the mathematical model, view the results, view the assignable vessels to each service, and calculate the bunker consumption cost, disbursements account cost and the speed at which the vessels should sail between the ports depending on the delays and total voyage duration. Consequently, it is believed that our study could become highly attractive for the liner shipping industry.
3rd Award: Assembly Line Balancing Problem– Whirlpool – Indesit Refrigerator Company
Students: Ceren Güngör, Cansın Kayserili, Ali Galip Matlar, Ela Mutlum, Can Şensu
Academic Advisors: Levent Kandiller, Hande Öztop
Company Advisors: Gonca Karaarslan
In this project, assembly line balancing problem of Whirlpool Company which is a white appliances producer, is addressed. The main goal of this project is minimizing the labor cost by reducing the number of stations and balancing the total workloads without changing the number of products which are produced. All required calculations are made by Method Time Measurement technique. By this technique, 1150 MTM codes are made. A relaxed mathematical model is created based on problem definition. Output of mathematical model is improved by converting heuristic method to algorithm. Decision support system is designed to make developed solution methods are applicable. At the end of this project, 28.57% improvements are made for pre-assembly and assembly departments of line 6 while 22.58% improvements are made for preassembly and assembly departments of line 7. It is estimated that the designed decision support system will make contribution to other assembly lines which are not involved in this project.
