运筹与管理2018，Vol.27Issue(5)：58-65,8.DOI:10.12005/orms.2018.0111
基于即时配送和收益激励的众包物流运力调度研究
Research on Crowdsourcing Logistics Capacity Scheduling Based on Instant Distribution and Revenue Incentives
摘要
Abstract
Based on the characteristics of customer requirements for instant delivery that are not entirely rigid , and of participants ' enthusiasm that is not high in the crowdsourcing logistics distribution mode , this paper introduces the fuzzy time window , and quantifies the customer satisfaction rate into the fuzzy function of time that the crowdsourcing logistic personnel arrives at purchaser location .Under the premise of ensuring a certain customer satisfaction, the research on logistics scheduling based on instant distribution and revenue incentives model is constructed in order to maximize the crowdsourcing logistics personnel ' s earnings considering the opportunity , overtime, overload punishment cost .Then this paper uses particle swarm optimization ( PSO) algorithm with the dynamic weight to solve the proposed problems , and through the example analysis , the results show that the model is feasible and effective in keeping balance between customer and crowdsourcing logistics personnel .关键词
众包物流/即时配送/收益激励/客户满意度/粒子群算法Key words
crowdsourcing logistics/instant distribution/revenue incentive/customer ' s satisfaction/particle swarm optimization分类
管理科学引用本文复制引用
慕静,杜田玉,刘爽,王仙雅,刘超,王国利..基于即时配送和收益激励的众包物流运力调度研究[J].运筹与管理,2018,27(5):58-65,8.基金项目
天津市哲学社会科学规划项目"生鲜食品众包物流模式建设机理及路径研究"(TJGL16-009Q) （TJGL16-009Q）
