شماره ركورد كنفرانس :
4670
عنوان مقاله :
Coordinated Pricing of Perishable Products Using Particle Swarm Optimization Algorithm
پديدآورندگان :
Fozooni Nazanin Department of industrial Engineering, K.N.Toosi University of Technology, Tehran, Iran , Daneshvari Hamed daneshvari_hd@yahoo.com Department of industrial Engineering, K.N.Toosi University of Technology, Tehran, Iran; , Setak Mostafa Department of industrial Engineering, K.N.Toosi University of Technology, Tehran, Iran , Izadi Mahdi Department of Nuclear Engineering, School of Mechanical Engineering, Shiraz University, Shiraz, Iran
كليدواژه :
perishable products , pricing , linear demand , particle swarm optimization algorithm , genetic algorithm
عنوان كنفرانس :
پنجمين كنفرانس بين المللي قابليت اطمينان و ايمني
چكيده فارسي :
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.
