Özet Metin
Anahtar Kelimeler
Montaj Hattı Dengeleme,irace
Özet Metin
Anahtar Kelimeler
Çizelgeleme
Özet Metin
Anahtar Kelimeler
Fuzzy MULTIMOORA, Portfolio optimization, Scalarization methods,Markowitz mean-variance model,Cardin
Özet Metin
Anahtar Kelimeler
Stochastic optimization,Multi-choice conic goal programming
Özet Metin
Anahtar Kelimeler
Intuitionistic Fuzzy Analytic Hierarchy Process,Intuitionistic Fuzzy Technique for Order preference
Özet Metin
Anahtar Kelimeler
Artificial bee colony algorithm,Response surface methodology,Mathematical model
Özet Metin
Anahtar Kelimeler
Hyper-heuristics,Single machine scheduling, Learning effect,Memetic algorithms
Özet Metin
Anahtar Kelimeler
Decision making trial and evaluation laboratory (DEMATEL),Analytic network process (ANP),MULTIMOORA,
Özet Metin
Anahtar Kelimeler
Container loading problem,Multi-objective problem,Genetic algorithm
Özet Metin
Anahtar Kelimeler
Genetic algorithms,Memetic algorithms,Cell scheduling,Scalarization methods,Pareto frontier
Özet Metin
Anahtar Kelimeler
cell scheduling, intercell move,sequence-dependent family setup time,mixed nonlinear integer program
Özet Metin
Anahtar Kelimeler
Deney tasarımı,Genetik Algoritma,Sipariş toplama,Ağırlıklıtoplam skalerleştirme yöntemi
Özet Metin
Anahtar Kelimeler
Personel seçimi,Fuzzy MCDM,Fuzzy AHP,Fuzzy TOPSIS,Sensitivity analysis
Özet Metin
Anahtar Kelimeler
personnel selection,multichoice goal programming,fuzzy MULTIMOORA
Özet Metin
Anahtar Kelimeler
sequence-dependent setup times,AHP,single machine scheduling problem,Multi-choice goal programming,0
Özet Metin
Anahtar Kelimeler
Multi-criteria decision making,Analytical Hierarchy Process,course evaluation,group decision making,
Özet Metin
Anahtar Kelimeler
Fuzzy AHP,Fuzzy MCDM,clusteringanalysis,course evaluation,classification
Özet Metin
Anahtar Kelimeler
Öğrenci Seçimi
Özet Metin
Anahtar Kelimeler
Hat Dengeleme,Ders Planı Hazırlama,Bologna Süreci
Özet Metin
Anahtar Kelimeler
Cloud service selection,Fuzzy environment,MCDM
Özet Metin
Anahtar Kelimeler
Özet Metin
Anahtar Kelimeler
Experimental desig,Genetic algorithm,Order picking,Weighted sum scalarization
Özet Metin
Anahtar Kelimeler
Bus stop selection,Clustering,Fuzzy C-means,K-means,Particle swarm optimization
Özet Metin
Anahtar Kelimeler
Flotasyon Makinası Seçimi,Bulanık AHP,Cevher Hazırlama
Özet Metin
Anahtar Kelimeler
Özet Metin
Anahtar Kelimeler
Portföy Optimizasyonu
Özet Metin
Anahtar Kelimeler
Analitik Hiyerarşi Süreci,Çok amaçlı karar verme,Finans modelleme
Özet Metin
Anahtar Kelimeler
Özet Metin
Anahtar Kelimeler
Tek makina çizelgeleme problemi
Özet Metin
Anahtar Kelimeler
Multiple-Criteria Decision Making,AHP,The exchange program
Özet Metin
Anahtar Kelimeler
Malzeme Yönetimi,Stok kontrolü,Dinamik programlama,ABC analizi
Özet Metin
Anahtar Kelimeler
Araç rotalama problemi,İlaç lojistiği,0-1 tamsayılı doğrusal programlama
Özet Metin
Anahtar Kelimeler
Bologna süreci,Hat dengeleme
Özet Metin
Anahtar Kelimeler
Personel seçimi,AHP
Özet Metin
Anahtar Kelimeler
Özet Metin
Anahtar Kelimeler
Özet Metin
In this paper, an order picking problem with the capacitated forklift in a warehouse is studied by considering the total distance and the penalized earliness/tardiness. These objectives are important to reduce transportation costs and to satisfy customer expectations. Since this problem has been known as NP-hard, a genetic algorithm (GA) is proposed to solve the bi-objective order picking problem. The proposed approach is applied to auto components industry that produces wire harnesses responsible for all electrical functions in the vehicle. Experimental design is used for tuning the influential parameters of the proposed GA. The GA approach was solved by weighted sum scalarization.
Anahtar Kelimeler
Experimental design, Genetic algorithm, Order picking, weighted sum scalarization
Özet Metin
In this study, a fuzzy multiple criteria decision-making approach is proposed to select an industrial engineer among ten candidates in a manufacturing environment. The industrial engineer selection problem is a special case of the personal selection problem. This problem, which has hierarchical structure of criteria and many decision makers, contains many criteria. The evaluation process of decision makers also includes ambiguous parameters. The fuzzy AHP is used to determine the weights for evaluation criteria. The consistencies of pair-wise comparisons matrices are controlled and a crisp overall performance value is obtained for each candidate based on the Best Non-fuzzy Performance Value. The sensitivity of the candidates’ overall performance values is analyzed by taking into account both the weight of decision makers and the weights of basis criteria. The candidates are also evaluated by fuzzy TOPSIS method and the result obtained by fuzzy AHP is compared with the result achieved by fuzzy TOPSIS.
Anahtar Kelimeler
Personnel Selection, Fuzzy MCDM, Fuzzy AHP, Fuzzy TOPSIS, Sensitivity Analysis.
Özet Metin
Anahtar Kelimeler
Özet Metin
Anahtar Kelimeler
Özet Metin
Anahtar Kelimeler
Özet Metin
Anahtar Kelimeler
Özet Metin
Anahtar Kelimeler