Difference between revisions of "ANLY482 Sustainability Jobs Project Overview"

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In the society today, the pace of globalization is undeniable. With remarkable increase in transportation, communication and technology, it has made the world more interdependent than ever. However, as companies reap in the success of globalization, Mother Earth sacrifices. <br/><br/>
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Trade transported by sea has grown fourfold since 1970s and it is still growing. In 2011, the 360 commercial ports of America took in goods that are 80 times the value of all American trade in 1960 (George, 2013). And in this industry, container overcapacity has long remain an issue (Business Monitor International, 2012). <br/>
  
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Resource depletion and severe environmental issues has not only motivated the increasing interest towards renewable resources but also, sustainability policies. The limelight on sustainability development has proved to be a valuable area for development reaping huge benefits. Businesses are now moving to take an active role in developing practices promoting sustainability with initiatives such as sustainable logistics. <br/><br/>
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To look into the utilisation of the containers, our team has collaborated with Green Transformation Lab (GTL) to explore the possible factors that are affecting utilisation rate. GTL is a joint initiative by SMU and DHL aimed at accelerating the evolution of sustainable logistics across Asia Pacific. Leveraging SMU’s multi-faculty academic excellence and DHL’s sustainability services, expertise and capability in supply chains, the Green Transformation Lab focuses on creating solutions that help companies transform their supply chains, becoming greener, more resource efficient and sustainable.
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Our team is currently embarking on gaining further insights on DHL’s Ocean Freight data, which contains the information about each individual shipment that a company has when engaging DHL.
  
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The Green Transformation Lab (GTL) is a joint initiative by SMU and DHL aimed at accelerating the evolution of sustainable logistics across Asia Pacific. Leveraging SMU’s multi-faculty academic excellence and DHL’s sustainability services, expertise and capability in supply chains, the Green Transformation Lab focuses on creating solutions that help companies transform their supply chains, becoming greener, more resource efficient and sustainable.<br/><br/>
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[[Image:Motivation SCM.png|Center|800px]]
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==<div style="background: #ffffff; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; text-transform:lowercase;letter-spacing:-0.1em;font-size:24px"><font color=#3d3d3d> </font></div>==
  
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We will be embarking on gaining further insights on GTL’s sustainability heat map project, which is a group of heat maps with global profiling of areas and trends on sustainability related jobs as well as sustainability related topics on Twitter. <br/>
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The shipping and freight industry is a highly dynamic market. Shippers and shipping lines are constantly looking towards designing better shipping and distribution networks to improve efficiency and vessel economics (Notteboom, 2012). At present, many FCL containers are not fully maximised. Therefore, the scope of this project is to look into improving the fill rate efficiency for different trade lanes and geographical location.  
  
  
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==<div style="background: #ffffff; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; text-transform:lowercase;letter-spacing:-0.1em;font-size:24px"><font color=#3d3d3d>Market Survey</font></div>==
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==<div style="background: #ffffff; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; text-transform:lowercase;letter-spacing:-0.1em;font-size:24px"><font color=#3d3d3d>Project Objectives</font></div>==
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In order to test out the feasibility of our concept, we conducted a market survey on Qualtrics to learn more about the user's needs.
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The dataset for this project contains the shipment data on DHL shipments for an IT company in year 2012 and 2013. This comprehensive set of data contains information on both operational and financial transactions. As this project focuses on the aspect of supply chain, the financial data will thus be ignored.
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We asked questions about their frustrations and problems when organizing meetings between their friends, and what are some of the applications they use to schedule meetings. <br/>
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Our objectives for this project is to, <br/><br/>
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[http://smusg.asia.qualtrics.com/SE/?SID=SV_babp5jfLSlDEoOp| Click here to view our Qualtrics Market Survey]<br/>
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'''• Identify the various individual factors that affect the fill rate efficiency of containerisation <br/>'''
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[[Media:The CodeFather Market Survey.pdf|Click here to download our Market Survey Collated Results]]<br/>
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'''• Analyse patterns and determine the relationship for these various factors <br/><br/>'''
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[[Image:CodeFather Market Research Statistics.png|Center|500px]]
 
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<br/>'''Target audience:'''SMU students of age group ranging from 18-24<br/><br/>
 
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|[[Image:Market_Research_Times_of_meeting.png|400px]]
 
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Our objective for the survey was to find out the statistics of people organizing meetups as their frustrations they have while using different applications to organize their meetups. <br/><br/>
 
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'''Below are some of the highlighted problems faced by users:'''
 
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[[Image:CodeFather Problems Faced.png|Center|500px]]
 
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<br/><br/> We also asked the surveyors to rank different applications accordingly to the frequency that they use it to organize meetings. <br/>In addition, we drilled in on every single application and gathered their opinions on each application. <br/>
 
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<br/>Before we ended the survey, we asked the surveyors to suggest functions that they think would be beneficial for the progress of organizing events.<br/>
 
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|[[Image: Frequently Used Applications.png|400px]]
 
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|[[Image:Top_5_Suggested_Features.png|400px]]
 
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Factors that will be looked into are: <br/>
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1. Origin - port where goods are loaded <br/>
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2. Destination - port where goods are unloaded <br/>
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3. Location - geographical areas  <br/>
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4. Carriers - companies that transport goods from origin to destination  <br/>
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5. Size of containers <br/>
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6. Different time periods <br/>
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7. Trade Lanes <br/>
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8. Volume (m3) <br/>
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9. Gross Weight <br/>

Latest revision as of 00:13, 24 April 2015

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Center

Project Background


Trade transported by sea has grown fourfold since 1970s and it is still growing. In 2011, the 360 commercial ports of America took in goods that are 80 times the value of all American trade in 1960 (George, 2013). And in this industry, container overcapacity has long remain an issue (Business Monitor International, 2012).

To look into the utilisation of the containers, our team has collaborated with Green Transformation Lab (GTL) to explore the possible factors that are affecting utilisation rate. GTL is a joint initiative by SMU and DHL aimed at accelerating the evolution of sustainable logistics across Asia Pacific. Leveraging SMU’s multi-faculty academic excellence and DHL’s sustainability services, expertise and capability in supply chains, the Green Transformation Lab focuses on creating solutions that help companies transform their supply chains, becoming greener, more resource efficient and sustainable. Our team is currently embarking on gaining further insights on DHL’s Ocean Freight data, which contains the information about each individual shipment that a company has when engaging DHL.

Center

The shipping and freight industry is a highly dynamic market. Shippers and shipping lines are constantly looking towards designing better shipping and distribution networks to improve efficiency and vessel economics (Notteboom, 2012). At present, many FCL containers are not fully maximised. Therefore, the scope of this project is to look into improving the fill rate efficiency for different trade lanes and geographical location.


Project Objectives

The dataset for this project contains the shipment data on DHL shipments for an IT company in year 2012 and 2013. This comprehensive set of data contains information on both operational and financial transactions. As this project focuses on the aspect of supply chain, the financial data will thus be ignored. Our objectives for this project is to,

• Identify the various individual factors that affect the fill rate efficiency of containerisation
• Analyse patterns and determine the relationship for these various factors

Factors that will be looked into are:
1. Origin - port where goods are loaded
2. Destination - port where goods are unloaded
3. Location - geographical areas
4. Carriers - companies that transport goods from origin to destination
5. Size of containers
6. Different time periods
7. Trade Lanes
8. Volume (m3)
9. Gross Weight

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