Research on the choice of delivery mode of eleme
takeout delivery based on real-time logistics
[Abstract] With the rapid development of the society, people pay more attention
to the timeliness and convenience, and the logistics industry has made rapid progress.
"instant logistics" has emerged as The Times require. At present, takeout logistics is
still the key task of instant logistics. Takeout logistics has a high requirement on
timeliness and relies on good delivery services to improve user experience. Therefore,
eleme takeout chooses to build its own logistics distribution system -- hummingbird
distribution, so as to improve the delivery service level. However, the self-built
distribution system also brings the problem of high distribution cost. In recent years,
the concept of crowdsourcing has emerged in the field of logistics. In the field of take-
out delivery, a relatively low-cost crowdsourcing distribution model has been applied,
thus forming a development situation in which self-run distribution and crowdsourcing
distribution modes coexist.
As a leader in the industry, eleme takeout not only needs to provide high-level
delivery services, but also needs to take into account the delivery cost. Only when both
are considered, can the company operate smoothly. Self-run delivery and crowdsourced
delivery have their own advantages and disadvantages. Eleme needs to analyze and
calculate the appropriate proportion of self-run delivery and crowdsourced delivery to
maximize the benefits of the take-out platform.
Based on eleme Delivery as the research object, first described by eleme Take-out
distribution present situation and the existing problems, and analyzes its problems,
through the establishment of which help to delivery service levels and distribution cost
as the objective function, with proprietary delivery order proportion and distribution
effect for the multi-objective optimization model of decision variables, through the
MATLAB calculation analysis and the changes of target variables and decision
variables finalized hungry take-away optimal proportion of proprietary distribution