Application Portfolio: Buenaventura Port Expansion Isabel Agudelo ESD.71 Engineering Systems Analysis for Design December 2008.

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Presentation transcript:

Application Portfolio: Buenaventura Port Expansion Isabel Agudelo ESD.71 Engineering Systems Analysis for Design December 2008

Agenda 1. Background 2. Sources of uncertainty 3. Port capacity drivers 4. Fixed vs Flexible 5. 2-Stage Decision Analysis Cost structure Demand Strategies Decision Tree Results 6. Lattice Analysis Assumptions Lattice Fixed Lattice Flexible Results 7. Take aways

1. Background South America

Colombia

Cauca Valley

Buenaventura Port

Quick facts DriversCurrent Data Terminal space2000 meters Number of terminals14 docks Cranes16 container cranes Source: Buenaventura Port Authority (2008)

Motivation Colombian economy is growing at 6% per year. 2005: Capacity utilization was 73.5%. Today passed 100%. Avoid bottleneck for import & exports. Colombian government limited resources.

2. Sources of uncertainty Economic: Growth of the world economy extended to maritime transport. Concentration in Asia Pacific Politics FTA (Free Trade Agreement) with US. Technology Post Panamax ships Demand Competition with the ports in the region.

3. Port capacity drivers Container Cranes Source: Jackson (2005)

Source: ww.gettyImages.com Container cranes

Container Types TEU: Twenty-Foot Equivalent UnitFEU: Twenty-Foot Equivalent Unit

Fixed vs Flexible Fixed system: Increase the capacity by buying 5 container cranes in year one. Flexible system: In year one, buying 2 container cranes and buy another 3 containers cranes in year 5.

2-Stage cost structure Issue20’ Container40’ Container Price (dollar per container)$140$200 Current capacity40,00020,000 Additional capacity per crane added (containers per year) Current port expenses (thousand per year) $300 Additional cost per crane added (thousand per year) $56 Investment per crane (Thousand dollars). No salvage value. $700 Discount rate5% Note: Data is fictional

2-Stage strategies 2-Stage: 1-Stage (1-5) 2-Stage (5-10) because the expansion is in year 5. Demand growth per year: High (15%), Medium (7%), Low (2%). Probability of the random scenarios: High (25%), Medium (25%), Low (50%). 27 demand combinations to consider over 10 years: 9 Fixed, 18 Flexible since Flexible has option to expand in year 5.

2-Stage Decision tree

2-Stage results Fixed: 82.5 M Flexible: 83 M The best strategy is the acquisition of two cranes in year one and if demand increases to a high level expand to 3 cranes. Value of flexibility has a value of 536,000 dollars. If the port gets a discount of this magnitude is good to buy five cranes in year 5.

Lattice Analysis Assumptions Assumes demand increases exponentially year to year. Simplifications: Only 20’ containers demand Annual cost adjusted

Lattice Analysis: Fixed: 5 cranes in year 1

Lattice Analysis: Flexible Portion 5 steps 1. Step 1: CF of 2 cranes during 10 years. 2. Step 2: Lattice for 2 cranes during 10 years. 3. Step 3: CF of 2 cranes in year 1 and 3 cranes in year Step 4: Lattice for 2 cranes year 1 and 3 cranes in year Step 5: Comparison of Step 2 and Step 4 in year 5 to decide expansion in year Step 6: Measure the value of the Call Option and the value of flexibility.

Lattice Analysis Value of call option & Value of flexibility

Results for Lattice Lattice confirm the intuition that is good to opt for expansion when demand is high.

Take away In this case, Decision Analysis and Lattice are not comparable. In both cases, flexibility also proved to add value to the process. Decision analysis seems more adequate for situations with several sources of uncertainty like port expansion.

Questions?