Mehmet Emin Baysal

A two phased fuzzy methodology for selection among municipal projects

AbstractA municipality improves the quality of community life through its projects and actions. However, project selection and prioritization by municipalities are highly complex processes. Therefore, multicriteria decision making (MCDM) methodologies are very suitable for determining the best alternative. Recently, some studies have concentrated on the selection of the best project alternatives. In this paper, a two phased fuzzy MCDM methodology is proposed for the selection among municipal projects. In the first phase, fuzzy TOPSIS method is used to select the main project group and then fuzzy AHP is used to select the best sub-municipal project. The application of the suggested methodology has been made at the central district municipality in Konya, Turkey.

A total productive maintenance implementation in a manufacturing company operating in insulation sector in Turkey

In this study, to calculate Overall Resource Effectiveness (ORE), planned downtime, facility downtime, setup and adjustments, material shortages, manpower absence, operator performance losses are found out after observing 4 expanded polystyrene (EPS) machines for 23 days, in 3 shifts a day. In the light of this data readiness, facility availability, mold changeover efficiency, material availability, manpower availability, performance efficiency, quality rate values are found and ORE values for each machine are calculated. Results showed an undeniable need to implement TPM, and suggestions followed.

A memetic algorithm to solve the open shop scheduling problem

Open shop scheduling problem (OSSP) can basically be defined as a scheduling problem where each job has just one operation to be processed on each machine and operation sequence is free to decide. It is usually seen in facilities that produce similar product families. In this study a Memetic algorithm is proposed for solving the OSSP, and the results are promising.