The document discusses the integration of operations research models in container terminals to optimize supply chain and transportation activities, particularly in India. It outlines the development of a mobile application for managing appointments, improving efficiency, and providing real-time updates for cargo handling. Key findings include the potential benefits of automation, the need for detailed data, and recommendations for adopting performance metrics to enhance port operations.

1. Trailer Response Undersigning eXperience
TruX
Team: TruX
Soumyo Ganguly
Niraj Kumar Mahapatra
Jake Westerfield
Yuexing Deng

2. Container terminals have received increasing attention from the
academic community due to the opportunities and challenges they offer.
Multiple reviews have been published in the last decade, focusing on the
use of operations research models for handling containers (Vis and De
Koster, 2003; Steenken et al., 2004a; Gu¨nther and Kim, 2005; Murty et
al., 2005; Stahlbock and Voß, 2008a; Gorman et al., 2014). In recent
years, port authorities and many companies in several countries have
started to integrate supply chain and transportation activities by
extending the sea terminal gate into the hinterland (Veenstra et al.,
2012; Iannone, 2012).
With the future prospect of establishing networks and initiating
memberships in India, the document aims understand the correct
structure traffic congestion. The key aspect of the document is to
provide a brief that will enable us to divulge further into identifying the
prospective target areas and the establishing links to optimize results.
Executive Summary Table of Contents
Topic Page No.
Mobile Based Application
Prototype
2 - 3
Emergency Notification
System
4
Objectives & Research
Methodology
4
Online Appointment System 5
Insights Gathered 6
Quantification of this Model 7
Analysis 8

3. Mobile Based Application Prototype
First Page of App Start Task Page Enter Unique RFID Confirm Cargo Pickup

4. Mobile Based Application Prototype
Go Now / Go Later ETA to Cargo Drop Confirm Cargo Drop Rate User Experience

5. Emergency Notification System
AccessibilityEmergency
Button
Objectives & Methodology
• Set appointments on a timely scale
• Space appointments across day to reduce congestion
• Maximize optimization of the yard area
• Seamless Work flow
• Notification to the key stakeholders
• Update all players as conditions change
Design
Evaluating the performance metrics of The Port of Los
Angeles. Then, going for performance factor analysis to
figure out the critical factors affecting port performance
as per given data sets.
Source & Tools Used
• C Sharp, .NET, Java Script, jQuery, SQL Server, Google
Maps API, Gradient Boosting
• MS Excel Data set provided by the Port of Los Angeles

6. Online Appointment System

7. Advantages
Insights Gathered
• One hour window period for given
location (For eg. Warehouse)
Pickup
• 10 minute window for Drop off at
Port of LA with respect to assigned
terminal as per data sets
• Little to no congestion expected
out of the vehicular appointment
system
• Real-time tracking which provides
feeds to the MTO
• Increased efficiency of the Port
due to minimized window frame
of time
• Emergency Response Button on the
Application on the User end
(Driver) to indicate delay of delivery
to the MTO; including any other
inconvenience caused to the driver
or truck (Distress)
• Terminal notified Real time
information on Pick-up of cargo
from the required location (For eg.
Warehouse)
• Traffic Updates given to the driver
as well as MTO on timely intervals
• Audio addressable system to the
driver from the Port Terminal to
keep him on track
• Drivers defaulting the given
timeline would be automatically
appointed in the next 8 hour slot
for cargo activity. This would
eventually not hamper the
scheduled incoming vehicular
movement within the port
• If no appointment or not within
time frame, driver must leave
terminal and set up a new
appointment as mentioned in the
next slot

8. Intermediary
Quantification of this Model
 Performance Calculator for Drivers – According to the
Arrival Time on each destination based upon early
reaching in case of Warehouse and exact arrival-time
reaching in the case of Port of LA.
 Rating of Drivers can be calculated accordingly.
 Company Rating Calculator – based on performance
of drivers and Warehouse / Port arrival timings. Can
be rated on exact / good-time / delayed Arrival and
Delivery Timings
 Keeping Driver (User) awake and alert at all times
(due to late and odd working hours of Drivers)
 Model can be used for pick-up delivery systems which
need precision timing delivery (not early or late). 8-
hour window to be demolished for that.
Working
Hours
Port Area
Correct
Arrival
Other
Drivers
Alertness
Delay Shift
to Next Slot
Performance
Calculator
Truck Driver Outcome

9. Analysis of System Operations
• The containerization level is witnessing an upward
trend
• Information flow into the port is through Marine
Operations and this is the gateway to all the initial
and final communication involved with vessel as well
as agencies
• There is an emerging need for an analysis of
improvement in all aspects of container transport
due to the global increase in the volume of
containerized goods
• Traffic condition is an influencing factor in
management decision of port operations
• Better container operating system will improve the
logistics limitations in the port area
• Scope of automation might reduce the current
failures at the automated equipment front
Findings Limitations
• The Survey data might need more detailing in
terms of container number to actualize the results
.
• Secondary data may not be authentic.
• There was a constraint with regard to time
allocation.
• Non-accessibility to real data in some cases might
deter this report to cite some issues that might be
bottlenecks in the operations
• Recommendations and conclusions might be
based on single or multiple frameworks
Suggestions
• Creation of a Key Performance Indicator
Dashboard of the Terminal Operating
System is the key to have an one stop screen
to monitor all activities associated with
Container Terminals
• Trucking companies should adopt this
application and perform test runs to validate
the application
• The model can be capitalized to generate
revenue by decreasing lead time and deploy
more truck.
• The port area has good response to all the new
developments proposed to change the
departmental setup for strategic as well as tactical
advantage
• Majority of containers in India are moved through
costly transport so that has to be minimized