Yazar "Malmir, Behnam" seçeneğine göre listele

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    Development of dynamic balanced scorecard using case-based reasoning method and adaptive neuro-fuzzy inference system
    (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022) Khanmohammadi, Ehsan; Safari, Hossein; Zandieh, Mostafa; Malmir, Behnam; Tirkolaee, Erfan Babaee
    In recent years, selecting the strategies has been recognized as one of the most challenging issues facing senior and strategy managers of companies. In this regard, this article introduced an integrated framework that helps strategy managers to determine the organization's strategy by analyzing the long-term objectives and visions. The proposed methodology is based on developing and enhancing the performance of the balanced scorecard (BSC) by covering its limitations through being combined with system dynamics (SD) simulation, case-based reasoning (CBR) method, and adaptive neuro-fuzzy inference system (ANFIS) model. The SD model is built based on the company's strategy map to predict the future status of the company based on its selected strategies. The CBR method and ANFIS model are also to develop the sensitivity analysis and policy-making stage utilizing learning and human memory application. An Iranian food and beverage company is considered as a real-world case study to demonstrate how the proposed method could work and validate the research methodology's applicability. As the main finding, the model yields appropriate strategies with minor errors to reach the targets defined by managers. According to the proposed dynamic BSC, managers can select their strategies and observe their financial variables' outcomes on the planning horizon. Moreover, they can set future targets for their financial variable to receive strategies for their achievement.
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    Recent Advances of Solutions Algorithms for Logistics Routing Problems
    (Mdpi, 2023) Tirkolaee, Erfan Babaee; Goli, Alireza; Malmir, Behnam
    [Abstract Not Available]
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    The stochastic location-routing-inventory problem of perishable products with reneging and balking
    (Springer Science and Business Media Deutschland GmbH, 2021) Aghighi, Azam; Goli, Alireza; Malmir, Behnam; Tirkolaee, Erfan Babaee
    The transport of perishable products is in need of specific control and safety operations, either due to their short shelf life or their particular storage circumstances. This study investigates an extended Location-routing-inventory problem (LRIP) for perishable products, in which a two-phase hybrid mathematical model is developed. In the first phase, the location-routing problem (LRP) is formulated with stochastic demands and travel time, and then in the second phase, a queue system is employed to model the inventory control problem based on the established locations and routes. Moreover, the effects of reneging and balking behaviors are studied in the second phase, and hereby, holding, shortage, product expiration, customer waiting times, and customer loss costs are calculated. To tackle the complexity of the problem, an improved genetic algorithm (IGA) is designed and is compared with the classic genetic algorithm (GA) and GAMS software. Finally, two small and large-sized illustrative examples and then different problem instances are taken into account to test the applicability of the suggested methodology. The obtained results demonstrate that the developed methodology of the research has an appropriate performance to deal with the high complexity of the problem.