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  • 2020-2024  (2)
  • Economics  (2)
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  • 2020-2024  (2)
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  • Economics  (2)
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  • 1
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  Production and Operations Management Vol. 31, No. 4 ( 2022-04), p. 1630-1644
    In: Production and Operations Management, Wiley, Vol. 31, No. 4 ( 2022-04), p. 1630-1644
    Abstract: We study a risk‐averse newsvendor problem where demand distribution is unknown. The focal product is new, and only the historical demand information of related products is available. The newsvendor aims to maximize its expected profit subject to a profit risk constraint. We develop a model with a value‐at‐risk constraint and propose a data‐driven approximation to the theoretical risk‐averse newsvendor model. Specifically, we use machine learning methods to weight the similarity between the new product and the previous ones based on covariates. The sample‐dependent weights are then embedded to approximate the expected profit and the profit risk constraint. We show that the data‐driven risk‐averse newsvendor solution entails a closed‐form quantile structure and can be efficiently computed. Finally, we prove that this data‐driven solution is asymptotically optimal. Experiments based on real data and synthetic data demonstrate the effectiveness of our approach. We observe that under data‐driven decision‐making, the average realized profit may benefit from a stronger risk aversion, contrary to that in the theoretical risk‐averse newsvendor model. In fact, even a risk‐neutral newsvendor can benefit from incorporating a risk constraint under data‐driven decision‐making. This situation is due to the value‐at‐risk constraint that effectively plays a regularizing role (via reducing the variance of order quantities) in mitigating issues of data‐driven decision‐making, such as sampling error and model misspecification. However, the above‐mentioned effects diminish with the increase in the size of the training data set, as the asymptotic optimality result implies.
    Type of Medium: Online Resource
    ISSN: 1059-1478 , 1937-5956
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2151364-8
    detail.hit.zdb_id: 1108460-1
    SSG: 3,2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  Production and Operations Management Vol. 31, No. 2 ( 2022-02), p. 681-696
    In: Production and Operations Management, Wiley, Vol. 31, No. 2 ( 2022-02), p. 681-696
    Abstract: Accessibility of electric vehicle (EV) charging stations is an important factor for adoption of EV, which is an effective green technology for reducing carbon emissions. Recognizing this, many governments are contemplating ideas for achieving EV adoption targets, such as constructing extra EV charging stations directly or offering subsidies to entice automakers to construct more EV charging stations. To achieve these targets, governments need to coordinate with automakers to ensure that the total number of charging stations is planned optimally. We study this coordination problem by considering the interactions among the government, automakers, and consumers, our equilibrium analysis yields three major results. First, both the government and the automaker should build extra EV charging stations when their construction costs are independent . Simultaneously, the government should offer a per‐station subsidy to the automaker only when the adoption target and the construction cost are both high. However, when the construction costs are dependent , the government should delegate the construction to the automaker by offering a per‐station subsidy. Second, when the government considers consumer purchase subsidy as an extra lever, we find that the purchase subsidy for consumers is more cost‐effective than offering a per‐station subsidy to the automaker. Third, the structure of the optimal government policy remains the same regardless of whether the government's goal is to improve EV adoption or consumer welfare. Our results can serve as guidelines for governments when contemplating coordination with automakers for the construction of EV charging stations to improve EV adoption as well as consumer welfare further.
    Type of Medium: Online Resource
    ISSN: 1059-1478 , 1937-5956
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2151364-8
    detail.hit.zdb_id: 1108460-1
    SSG: 3,2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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