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Faster security check for greater customer experience

Faster security check for greater customer experience

by | Aug 1, 2017 | Simulation

Faster security check for greater customer experience

for Marina Bay Sands

The Challenge

Patrons visit Marina Bay Sands (MBS) from various points of entry across several floors, creating peak traffic at different locations during different periods of time every day. When the patron flows merge at its casino entrances for security check, queues will form and sometimes require extra manpower to manage the situation. MBS faces the challenge of achieving greater customer experience at all time.

The Solution

As a preparatory step, MBS engaged traffic consultants to conduct surveys and understand the distribution of patrons and handling rates at the security check counters. The survey results were used as inputs to a detailed patron flow simulation model built with our Passenger Traffic Simulation (PTS) system, for the assessment of temporal and spatio conditions at the casino entrances under different scenarios. Recommendations on physical infrastructure, staffing levels, and processes were made based on the simulation findings, which would result in improvement by 11% to 70%, through predicting peaks and proactively assigning adequate staff and facilities.

Finding the best berth setup for general and bulk cargo handling

Finding the best berth setup for general and bulk cargo handling

by | Aug 1, 2017 | Simulation

Assessing future berth performance

for Jurong Port Pte. Ltd.

The Challenge

Jurong Port is a major and thriving gateway for multi-purpose cargo in Singapore and in the region. As Singapore’s only international multi-purpose port today, Jurong Port expects to see steady growth in its general and bulk cargo volumes over the near and longer term future. It is thus important for JPPL management to ascertain whether the existing and planned berth space will be enough to cater to the projected traffic volumes.

The Solution

A simulation model emulating JPPL’s berth operations was developed using our Berth Planning System (BPS), with detailed setting on berth setup, berthing guidelines and berth pro-forma. The model was validated against the past vessel traffic and operations data. For future scenarios, Berth On Arrival rate and Berth Occupancy rate were set as the key performance indicators to assess whether the required service level could be achieved.

Recommendations were given to improve performance, and quantitatively evaluated to ensure that JPPL was adequately prepared to handling the future traffic, thus avoiding heavy congestion, high vessel sweating times, and dissatisfied customers.

Capacity assessment for ferry terminals

Capacity assessment for ferry terminals

by | Jul 31, 2017 | Simulation

Capacity assessment for ferry terminals

for Maritime and Port Authority, Singapore

The Challenge

In 2014, the ferry terminals in Singapore handled more than 13 million trips, with a nearly equal split between regional and domestic destination. To be able to manage the expected increase in traffic while maintaining a satisfactory service level, the Maritime and Port of Singapore faced the challenge of getting a reliable demand forecast and finding cost-effective solutions to handle the passenger traffic in the long run.

The Solution

We built a passenger handling model for each of the ferry terminals at Singapore, using our Passenger Terminal Simulation (PTS) system, considering the historical productivity and its possible improvement due to advancement in technologies or re-engineering of handling process. We established the service levels under various traffic levels and passenger arrival patterns, from the perspective of the overall customer experience, and determined the capacity as well as the adequacy of the existing facilities.

Different solutions including consolidation, diversion, or reconfiguration of passenger traffic were assessed with quantification in capacity enhancement, which helped MPA find the most suitable development road-map.

Demand forecast for essential marine services

Demand forecast for essential marine services

by | Jul 31, 2017 | Simulation

Demand forecast for essential marine services

for Maritime and Port Authority, Singapore

The Challenge

The port and maritime industry is a key contributor to Singapore’s economy, accounting for 7% GDP. The Port of Singapore is one of the world’s busiest, with 134,883 vessels arriving in 2014 or an average of 369 vessels arriving daily. In terms of cargo, 581 million tonnes of cargo and 33.8 million TEUs were handled in 2014. However, the Port of Singapore faces rising competition from other regional ports, especially with Shanghai Port becoming the world’s busiest port in 2010.

The Solution

To enhance Singapore’s competitiveness and efficiency as a premier global hub port, we helped the Maritime and Port Authority of Singapore build a demand model for towage and waterboat services, based on historical trend analysis on productivity and future vessel arrival forecast. The model came with a simulation engine that is able to accurately assess the vessel status in ports, identify whether they are navigating with tug assistance, anchoring for waterboat service, or in other irrelevant statuses, and thereby generate the statistics for assessing the demand for tug and waterboat services.

Working with Frost & Sullivan, we applied the model to ascertain the supply of towage and waterboat services and determine the optimal service level as well as appropriate penalty and incentive frameworks for such services.

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