شماره ركورد كنفرانس :
3254
عنوان مقاله :
Coordinated Pricing of Perishable Products Using Particle Swarm Optimization Algorithm
Author/Authors :
Nazanin Fozoonia Department of industrial Engineering - K.N.Toosi University of Technology, Tehran , Hamed Daneshvaria Department of industrial Engineering - K.N.Toosi University of Technology, Tehran , Mostafa Setaka Department of industrial Engineering - K.N.Toosi University of Technology, Tehran , Mahdi Izadib Department of Nuclear Engineering - School of Mechanical Engineering, Shiraz University
كليدواژه :
linear demand , pricing , perishable products , particle swarm optimization algorithm , genetic algorithm
عنوان كنفرانس :
پنجمين كنفرلنس بين المللي قابليت اطمينان و ايمني
چكيده لاتين :
Today perishable products are one of the most important products in the market. perishable products are products whose value decreases over time. Due to the imposition of the deterioration costs, considering the complexity of the distribution system, the variety of products, the change in the customer's taste and ... the issue of pricing perishable products is very important. In this research, the problem of pricing perishable products with time and price-dependent demand is examined by considering the decay rate of products. In this regard, a method based on genetic algorithm and particle swarm optimization algorithm has been investigated for the related problem. According to the comparison with the answers in the subject literature for the problem of pricing perishable products with time and price-dependent demand, We analyze the particle swarm optimization algorithm has a very satisfactory performance.
