Difference between revisions of "ANLY482 Sustainability Jobs Project Overview"

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| style="padding:0.4em;  font-size:100%; border-bottom:4px solid #2f2929; border-top:5px solid #2f2929; text-align:center; background-color:#2f2929; " width="10%" |  [[ Image: Home_Button.png|40px ]][[https://wiki.smu.edu.sg/ANLY482/Sustainability_Jobs%3A_Analyse_the_trends |<font color="#3d3d3d"><b>Home</b></font>]]  
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| style="padding:0.4em;  font-size:100%; border-bottom:4px solid #2f2929; border-top:5px solid #2f2929; text-align:center; background-color:#ffffff; " width="10%" |  [[ Image: Home_Button.png|40px ]][[https://wiki.smu.edu.sg/ANLY482/Sustainability_Jobs%3A_Analyse_the_trends |<font color="#3d3d3d"><b>Home</b></font>]]  
  
 
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| style="padding:0.4em; font-size:90%; background-color:#84fae3;  border-bottom:4px solid #2f2929; border-top:5px solid #2f2929; text-align:center; color::#2f2929" width="10%" |[[Image:CodeFather Project Overview Button.png|40px]][[ANLY482 Sustainability_Jobs Project Overview |<font color="#3d3d3d" size=2><b>Project Overview</b></font>]]
  
 
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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 Background</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>Motivation</font></div>==
 
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Our motivation came about during the planning phase of our Final Year Project(FYP), we wanted to do something different yet beneficial and making a difference to our daily lives. Throughout the process of planning, we encountered the problem of scheduling for our own FYP meeting as many of us have varying schedules. This caused it to be a pain to coordinate meetings. This was unknowing the start of our idea -- '''Schedulous. Finding a way to schedule people to allow them to meet up with different people without having the pain of coordinating meetings.'''
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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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==<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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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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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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[[Image:Motivation SCM.png|Center|800px]]
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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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==<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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[http://smusg.asia.qualtrics.com/SE/?SID=SV_babp5jfLSlDEoOp| Click here to view our Qualtrics Market Survey]<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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[[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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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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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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==<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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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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Our objectives for this project is to, <br/><br/>
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'''• Identify the various individual factors that affect the fill rate efficiency of containerisation <br/>'''
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'''• Analyse patterns and determine the relationship for these various factors <br/><br/>'''
  
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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

GTL Logo.png

Home Button.png[|Home]   CodeFather Project Overview Button.pngProject Overview   CodeFather Project Management.pngProject Management   Findings & Insights   80px-CodeFather Documentation icon.pngDocumentation   CodeFather Group Button.pngAbout Us

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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