E-logistics and supply chain management

Running head: E-LOGISTICS AND SUPPLY CHAIN MANAGEMENT
E-logistics and supply chain management
Name of the Student:
Name of the University:

E-LOGISTICS AND SUPPLY CHAIN MANAGEMENT1
1. Describe the case study and elements of: supply chain, logistics and
information technology
Traffic is a rival for cities of Los Angles as well as Long Beach, California. Growth is
required for cities then traffic is seemed to be inevitable. Congestion is a problem of
inefficiency. The problem is fixed throughout collaboration on the infrastructure,
operations of transport as well as shared information. In two of the ports, Cargo is
required to grow with sustainable growth. The ports are making improvement into traffic
efficiency in three ways such as collaborative technology portal, new logistics
infrastructure and extended gate hours (Lopez 2018).
In a way to expedite the traffic out of port, the elements related to supply chain,
logistics and information technology are required. The cargo is a supply chain elements
which help in sustainable growth. Logistics element is city wide collaboration on the rail
infrastructure. The information technology elements are collaborative technology portal,
extended hours of gate as well as new supply chain infrastructure.
2. Analyse and evaluate e-Logistics of case study
Ports are making improvements in traffic efficiency in three ways such as
collaborative technology portal, extended in gate hours plus new infrastructure. E-
logistics is used in the case study in form of collaborative technology portal where there
is web based application which is dealing with effective transport and distribution along
with storage of the products and demand chains. Alignment of the demand as well as
supply chain management is supposed to be solved by means of software applications and
e-business practices. The supply chain data those are not perfect could be required to
improve using e-logistics. The port of Los Angles and Port of Long Beach is aware of
benefits regarding increased data which have supply chain optimization. Therefore, better