新兴技术(大数据/人工智能/移动互联网等)的发展和本地生活服务O2O(Online to Offline)商业模式兴起,催生了即时配送新兴物流形态,而外卖配送平台线上强履约要求成为即时配送业务痛点之一.考虑了实时外卖订单和动态变化的骑手等因素,将...新兴技术(大数据/人工智能/移动互联网等)的发展和本地生活服务O2O(Online to Offline)商业模式兴起,催生了即时配送新兴物流形态,而外卖配送平台线上强履约要求成为即时配送业务痛点之一.考虑了实时外卖订单和动态变化的骑手等因素,将问题建模为带取送约束和时间约束的实时车辆调度优化问题.基于滚动时域机制将连续时间的动态问题划分为一系列离散静态子问题,设计了邻域搜索启发式算法进行求解.最后,基于大连市某外卖平台的订单业务数据对算法进行了验证,与已有文献中的方法相比,算法能有效降低平均配送时间及超时订单数量,在大规模问题场景下求解算法对平台履约影响更大,高效的调度优化算法有利于外卖平台降本增效.展开更多
随着数字技术的发展,外卖平台借助算法对其运营模式进行精确化计算,有效提高了平台的工作效率和经济效益,一方面展现了数字技术应用的成果,另一方面也暴露了“算法控制”下外卖平台和骑手不平等劳动秩序的问题。本文通过分析在“算法控...随着数字技术的发展,外卖平台借助算法对其运营模式进行精确化计算,有效提高了平台的工作效率和经济效益,一方面展现了数字技术应用的成果,另一方面也暴露了“算法控制”下外卖平台和骑手不平等劳动秩序的问题。本文通过分析在“算法控制”下的新型劳动关系,进而说明“算法控制”下骑手的境遇,如面临做出“逆算法”实践、自由度降低以及劳动的异化等困境,基于此,从政策建议、行业指导以及骑手自身的行动建议出发解决以上困境。With the development of digital technology, food delivery platforms use algorithms to accurately calculate their operating modes, effectively improving the platform’s work efficiency and economic benefits. On the one hand, it demonstrates the achievements of digital technology applications, and on the other hand, it also exposes the problem of unequal labor order between food delivery platforms and riders under algorithmic control. This article analyzes the new type of labor relations under algorithmic control, and further explains the situation of riders under algorithmic control, such as facing difficulties such as making “inverse algorithm” practices, reducing freedom, and labor alienation. Based on this, policy recommendations, industry guidance, and riders’ own action suggestions are proposed to solve the above difficulties.展开更多
文摘新兴技术(大数据/人工智能/移动互联网等)的发展和本地生活服务O2O(Online to Offline)商业模式兴起,催生了即时配送新兴物流形态,而外卖配送平台线上强履约要求成为即时配送业务痛点之一.考虑了实时外卖订单和动态变化的骑手等因素,将问题建模为带取送约束和时间约束的实时车辆调度优化问题.基于滚动时域机制将连续时间的动态问题划分为一系列离散静态子问题,设计了邻域搜索启发式算法进行求解.最后,基于大连市某外卖平台的订单业务数据对算法进行了验证,与已有文献中的方法相比,算法能有效降低平均配送时间及超时订单数量,在大规模问题场景下求解算法对平台履约影响更大,高效的调度优化算法有利于外卖平台降本增效.
文摘随着数字技术的发展,外卖平台借助算法对其运营模式进行精确化计算,有效提高了平台的工作效率和经济效益,一方面展现了数字技术应用的成果,另一方面也暴露了“算法控制”下外卖平台和骑手不平等劳动秩序的问题。本文通过分析在“算法控制”下的新型劳动关系,进而说明“算法控制”下骑手的境遇,如面临做出“逆算法”实践、自由度降低以及劳动的异化等困境,基于此,从政策建议、行业指导以及骑手自身的行动建议出发解决以上困境。With the development of digital technology, food delivery platforms use algorithms to accurately calculate their operating modes, effectively improving the platform’s work efficiency and economic benefits. On the one hand, it demonstrates the achievements of digital technology applications, and on the other hand, it also exposes the problem of unequal labor order between food delivery platforms and riders under algorithmic control. This article analyzes the new type of labor relations under algorithmic control, and further explains the situation of riders under algorithmic control, such as facing difficulties such as making “inverse algorithm” practices, reducing freedom, and labor alienation. Based on this, policy recommendations, industry guidance, and riders’ own action suggestions are proposed to solve the above difficulties.