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Information Journal Paper

Title

Environmental effects in an integrated hub location and pricing problem

Pages

  838-852

Abstract

 The product pricing decision is one of the important factors in the pro , tability of organizations, which has a key role in their survival. Moreover, pricing is determined based on the demand and location of applicants. Therefore, the location of facilities and services in uences the pricing. Also, the location problem is a critical issue in the survival of an organization. Furthermore, the hub location problem is a type of location problems that has many applications and saves time and money. On the other hand, location is impossible without considering transportation, and transportation has many negative effects on the environment, such as greenhouse gas emissions, air pollution, noise, etc. For this reason, it is important to consider the environmental costs to reduce the adverse effects. This study considers integrated pricing and hub location problem with environmental costs in the competitive market where customer choice is calculated according to the Logit Model (LM). We use Genetic Algorithm (GA) to solve and observe the environmental cost, entrant pro , t, incumbent income, impact of customer sensitivity, and discount between hubs on the entrant pro , t. As the , final point, the computational experiments demonstrate that the suggested GA is both efficient and effective.

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    APA: Copy

    MOHAMMADI, M., & KARIMI, H.. (2022). Environmental effects in an integrated hub location and pricing problem. SCIENTIA IRANICA, 29(2 (Transactions E: Industrial Engineering)), 838-852. SID. https://sid.ir/paper/1050037/en

    Vancouver: Copy

    MOHAMMADI M., KARIMI H.. Environmental effects in an integrated hub location and pricing problem. SCIENTIA IRANICA[Internet]. 2022;29(2 (Transactions E: Industrial Engineering)):838-852. Available from: https://sid.ir/paper/1050037/en

    IEEE: Copy

    M. MOHAMMADI, and H. KARIMI, “Environmental effects in an integrated hub location and pricing problem,” SCIENTIA IRANICA, vol. 29, no. 2 (Transactions E: Industrial Engineering), pp. 838–852, 2022, [Online]. Available: https://sid.ir/paper/1050037/en

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