Opportunities for increased profit and reduced cost and emissions by service differentiation within container liner shipping

This paper investigates opportunities for increased profit and reduced emissions and cost by service differentiation within container shipping. Traditionally the strategy among the container lines has been profit maximization by utilizing economies of scale through the building of larger and faster vessels. In 2008, the financial crisis in combination with higher fuel prices put an end to this progress and in today’s market operators are basically trying to survive by providing standardized services at the lowest possible cost. This study investigates alternative strategies and the results indicate that container lines should provide two different services instead of one standardized service. A fast service to be more competitive versus air freight for fast-moving goods and a slow service to be more competitive versus traditional shipping types for transport of minor bulk, break bulk, liquid bulk and project cargo.     

Fleet deployment in liner shipping: a case study

The fleet deployment problem is an important planning problem in liner shipping. It deals with optimally assigning voyages to available vessels in the fleet and determining vessel routes and schedules in a way that minimizes costs or maximizes profit. This paper presents a new model for a fleet deployment problem in liner shipping, and we also propose a multi-start local search heuristic to solve the problem. The heuristic has been embedded in a prototype decision support system (DSS) that has been implemented and tested at Höegh Autoliners, a major global provider of ro-ro (roll-on roll-off) vehicle transportation services. The heuristic was able to produce high-quality solutions within a few minutes to a real planning problem with more than 55 vessels and 150 voyages over a planning horizon of 4–6 months. Tests indicated that the solutions suggested by the DSS gave between 2 and 10% improvements compared with solutions from manual planning. What is almost equally important is that using the DSS can ease the planning process.