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    Material Ordering in a Deterministic Time-Phased Demand Environment with All-Units Discount in Purchasing

    , Ph.D. Dissertation Sharif University of Technology Mirmohammadi, Hamid (Author) ; Shadrokh, Shahram (Supervisor)
    Abstract
    More than 60% of sales account for materials, and so the roles and responsibilities of the material managers have been recognized as more important within a firm or in a large scale project than before. However, in many purchasing situations, different considerations conflict with one another. In these situations material planning plays an essential role in the total cost minimization process. Here, the optimal material ordering policy for an item in a deterministic time-phased demand environment with all-units discount in purchasing is considered. Based on proven properties of the optimal order policy, a tree search procedure is designed to construct sequences of orders in the optimal... 

    Tracking Consumers Throughout Their Purchase Journey: Using Deep Learning Methods

    , M.Sc. Thesis Sharif University of Technology Hayati, Danial (Author) ; Aslani, Shirin (Supervisor)
    Abstract
    Over the past two decades, the interest in exploring consumers' behavior has risen to popularity. Nowadays, it is necessary for marketers to reach out to the right consumers at the right time and with the right message. Even though the positive impact of tracking consumers throughout their purchase journey and its managerial implications have been emphasized several times by academics, There is still a lack of practical research on how to discern the consumers' stage in the purchase journey from a holistic point of view. In this study, we develop several machine learning models, including RNNs (GRU and LSTM), Transformers, and XGBoost, by utilizing historical data of Yektanet (the leading...