جستجوی مقالات مرتبط با کلیدواژه "dynamic pricing" در نشریات گروه "صنایع"

E-commerce means using electronic tools in the process of doing new business. This type of business, as a link between technologies and the business market, has created a stable market for the employment of different groups. Some modern businesses have developed new electronic tools that make them different from other businesses. Intelligent agents, which act as tools for technology-driven companies, are responsible for the dynamic pricing of their products and services. In this pricing model, which is often done completely without the intervention of human operators and automatically (intelligently), electronic tools price by analyzing various factors. The purpose of this study is to investigate the status and legal effects of this pricing model in companies providing intelligent transportation services. The present article has been done by analytical-descriptive and library methods. Dynamic pricing model has advantages and disadvantages compared to traditional model; Advantages: 1- Transparency in Costs Declaration, 2- Facilitates and Accelerates the provision of Transportation Services, 3- Reduces Costs. Disadvantages: 1- Absolute authority of the company in determining and paying costs to drivers, 2- Impossibility and unpredictability of monitoring the design and performance of applications of companies that use this pricing model, 3- Lack of appropriate and specific laws and regulations for possible violations. Based on the findings of this study, the existing regulations are not sufficient to address the challenges and possible violations in relation to the dynamic pricing model, and it is necessary to review and amend the regulations and formulate appropriate solutions in this regard.

Design of reverse supply chain network (RSCN) to efficiently manage the flow of returned products is one of the most important issues in supply chain management. Determining an acquisition price of returned products which could be affected by different factors such as product quality levels has a significant effect on strategic design of RSCN. In this paper¡ a comprehensive mathematical model for designing a multi-level RSCN with a dynamic pricing approach for returned products which is affected by product quality levels. In order to manage the uncertainty of number of returned products¡ a robust optimization based on the uncertainty budget approach is considered. The aim of the proposed model is to design the RSCN to maximize the RSCN total profit and responding to customer demands simultaneously. Due to the NP-hard nature of the network design problems¡ a memetic algorithm based on the non-dominated sorting genetic algorithm II and parallel adaptive variable neighborhood search is proposed to find the optimal Pareto solutions. The performance of the proposed memetic algorithm is compared with multiple similar algorithms. The computational results indicate a significant impact of the dynamic pricing approach on the performance of the reverse logistic network. In addition¡ using the robust optimization based on the uncertainty budget approach can efficiently handle various conservatism levels of decision makers under uncertainty of the business environment. Finally¡ the obtained results show the significant superiority of the proposed hybrid meta-heuristic algorithm to solve a multi-objective RSCN design model via considering the dynamic pricing approach under uncertainty.