seven are located in China, including the world's largest container port in the world in Shanghai. The large volume of the container throughput in these Chinese ports not only brings immense pressure for improving their operational efficiency, but also creates a large demand for transportation between theports and the hinterland. Yunfeng International Logistics (Shanghai) Co. Ltd., established in 2002, is one of the largest con- tainer transport service providers in Shanghai. The company specializes in container transportation between port yards and the hinterland as its core business. It serves a diverse clientele that includes globally renowned companies such as IKEA, Lenovo, and China Ocean Shipping Company. The scheduling problem faced by Yunfeng is that of how to allocate vehicles (including both owned and third-party vehicles) to complete order tasks (including door-to-door and warehouse orders) and minimize total cost. The complexities of this problem manifest in several aspects. (i) The pickup/delivery process has two distinct stops: one for container handling and the another for load- ing/unloading goods into the container. (ii) Traffic flows on roads in China are notoriously complex with the country imposing stringent regulations on road transportation based on factors such as vehi- cle dimensions, weight, and number of trailers. (iii) Time window constraints apply to both containers and cargo within the containers, with potential nested time windows creating intricate interactions between container handling and cargo handling times (e.g., the time window of container pickup is from 6 to 11am and cargo loading is from 10am to 12 pm). (a) Yunfeng International Logistics customers include IKEA and Lenovo. (b) Time at which the assigned vehicle will deliver the container to the customer (c) Time window in which the vehicle must deliver the container the customer (d) The vehicle assigned to a customer must deliver the container in the stated time window. (e) Whether a given container will be delivered by a vehicle owned by the company, or not. (f) Whether a given container will be delivered by a third-part company, or not. (g) Each container must be delivered to its associated customer. (h) Yunfeng International Logistics wants to minimize total cost.
seven are located in China, including the world's largest container port in the world in Shanghai. The large volume of the container throughput in these Chinese ports not only brings immense pressure for improving their operational efficiency, but also creates a large demand for transportation between theports and the hinterland. Yunfeng International Logistics (Shanghai) Co. Ltd., established in 2002, is one of the largest con- tainer transport service providers in Shanghai. The company specializes in container transportation between port yards and the hinterland as its core business. It serves a diverse clientele that includes globally renowned companies such as IKEA, Lenovo, and China Ocean Shipping Company. The scheduling problem faced by Yunfeng is that of how to allocate vehicles (including both owned and third-party vehicles) to complete order tasks (including door-to-door and warehouse orders) and minimize total cost. The complexities of this problem manifest in several aspects. (i) The pickup/delivery process has two distinct stops: one for container handling and the another for load- ing/unloading goods into the container. (ii) Traffic flows on roads in China are notoriously complex with the country imposing stringent regulations on road transportation based on factors such as vehi- cle dimensions, weight, and number of trailers. (iii) Time window constraints apply to both containers and cargo within the containers, with potential nested time windows creating intricate interactions between container handling and cargo handling times (e.g., the time window of container pickup is from 6 to 11am and cargo loading is from 10am to 12 pm). (a) Yunfeng International Logistics customers include IKEA and Lenovo. (b) Time at which the assigned vehicle will deliver the container to the customer (c) Time window in which the vehicle must deliver the container the customer (d) The vehicle assigned to a customer must deliver the container in the stated time window. (e) Whether a given container will be delivered by a vehicle owned by the company, or not. (f) Whether a given container will be delivered by a third-part company, or not. (g) Each container must be delivered to its associated customer. (h) Yunfeng International Logistics wants to minimize total cost.
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Transcribed Image Text:3. Container transportation at Shanghai's port: Among the top 10 container ports in the world,
seven are located in China, including the world's largest container port in the world in Shanghai. The
large volume of the container throughput in these Chinese ports not only brings immense pressure
for improving their operational efficiency, but also creates a large demand for transportation between
theports and the hinterland.
Yunfeng International Logistics (Shanghai) Co. Ltd., established in 2002, is one of the largest con-
tainer transport service providers in Shanghai. The company specializes in container transportation
between port yards and the hinterland as its core business. It serves a diverse clientele that includes
globally renowned companies such as IKEA, Lenovo, and China Ocean Shipping Company.
The scheduling problem faced by Yunfeng is that of how to allocate vehicles (including both owned
and third-party vehicles) to complete order tasks (including door-to-door and warehouse orders)
and minimize total cost. The complexities of this problem manifest in several aspects. (i) The
pickup/delivery process has two distinct stops: one for container handling and the another for load-
ing/unloading goods into the container. (ii) Traffic flows on roads in China are notoriously complex
with the country imposing stringent regulations on road transportation based on factors such as vehi-
cle dimensions, weight, and number of trailers. (iii) Time window constraints apply to both containers
and cargo within the containers, with potential nested time windows creating intricate interactions
between container handling and cargo handling times (e.g., the time window of container pickup is
from 6 to 11am and cargo loading is from 10am to 12 pm).
(a) Yunfeng International Logistics customers include IKEA and Lenovo.
(b) Time at which the assigned vehicle will deliver the container to the customer
(c) Time window in which the vehicle must deliver the container the customer
(d) The vehicle assigned to a customer must deliver the container in the stated time window.
(e) Whether a given container will be delivered by a vehicle owned by the company, or not.
(f) Whether a given container will be delivered by a third-part company, or not.
(g) Each container must be delivered to its associated customer.
(h) Yunfeng International Logistics wants to minimize total cost.
Transcribed Image Text:Read the description of the following three optimization problems. Consider then the components of these
problems that are itemized. For each of these components, identify whether it belongs to the data, the
variables, the constraints or the objectives. (Note: all situations described below are inspired by practical
applications of optimization detailed in the journal IJAA (Informs Journal on Applied Analytics).)
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