A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19
7th Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2021
; 2021.
Article
in English
| Scopus | ID: covidwho-1672594
ABSTRACT
In this work, it was carry out a new model of attention to product orders in e-commerce operations in a pandemic situation. The model was evaluated in situations that require capacity and flexibility for companies when the forecast presents a high level of uncertainty. A two-echelon multi-period MIP model was used. It was shown from a case example the model's behavior in stressful situations, which represent a pandemic moment or high demand, and a case in which companies can use the model for decision-making when demand is lower or stable. It is proposed to use a productivity factor and extra hours to decide to hire permanent or temporary employees to take the best strategies in its logistics operations. The results show the usability of the model for decisions and the flexibility obtained for better productivity in e-commerce operations. © 2021 IEEE.
e-commerce; learning curve; mixed integer programming; Put wall; recruitment; Curve fitting; Decision making; Integer programming; Productivity; E- commerces; E-commerce operations; Learning curves; Logistic operations; Mixed-Integer Programming; Models of attention; Optimisations; Product ordering; Electronic commerce
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
7th Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2021
Year:
2021
Document Type:
Article
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