| dc.description.abstract | In 2021, the Vietnamese economy in general and the logistics industry, in particular, have
been significantly impacted by the complicated COVID-19 epidemic, especially the
outbreak at the end of April. COVID-19 led to limits on the mobility of labor, changes in
consumer demand, the closure of food manufacturing facilities, limited food trade rules, and
financial strains in the supply chain of necessities. This leads to the high risk of disruption
of the supply chain of necessities. On September 30, 2021, Ho Chi Minh City (HCMC)
issued a Directive on continuing to control the COVID-19 epidemic and gradually recover
socio-economic conditions in the city to ensure sustainable social security for city people;
bring people's daily life to a “new normal”. As a result, Vietnamese authorities and
businesses began to pay more attention to sustainable urban logistics during and post
COVID-19, especially for the fresh products. This thesis aims to develop urban logistics
toward the sustainable supply chain in HCMC. This thesis will offer an optimal
mathematical model for enabling sustainable urban logistics by minimizing the total cost
and optimizing distribution network. Mixed-integer Linear Programming (MILP) model
with three conflicting objectives is proposed. Then a Weighted Sum Method is considered
as the approach to deal with the multi-criteria problem. To validate the model's effectiveness,
a case study of HCMC is undertaken, and the CPLEX program is used for optimization. | en_US |
