Hui-Huang Tai and Dung-Ying Lin
The expansion of the Panama Canal that is completed in 2016 provides container carriers with new opportunities to redeploy global oceangoing trunk routes. The purpose of this…
Abstract
Purpose
The expansion of the Panama Canal that is completed in 2016 provides container carriers with new opportunities to redeploy global oceangoing trunk routes. The purpose of this paper is to examine the cargo sources and geographical locations of three trunk routes, the departure points of which are all in East Asia.
Design/methodology/approach
The operating conditions of various shipping practices were used to simulate trunk route deployment after canal expansion. Subsequently, a clean-line strategy featuring liquefied natural gas (LNG) as a replacement for heavy oil is proposed to explore the effects that container carriers have on energy savings and emission reductions.
Findings
The results showed that the unit emissions of ships traveling trunk routes in East Coast North America and East Coast South America did not differ significantly regardless of whether the container carrier employed a conventional method or the new deployment plan following the expansion of the Panama Canal. By contrast, the adoption of a new method for sailing through the canal yields significant emission reductions for Far East/Europe routes. In addition, the slow-steam strategy adopted by carriers and the more costly clean-line strategy of LNG-fueled ships are both effective when applied to trunk routes.
Originality/value
The results of this study provide a reference to container carriers deploying route structures and the International Maritime Organization when promoting emission-reduction policies.
Details
Keywords
The purpose of this paper is to develop a decision support system to consider geographic information, logistics information and greenhouse gas (GHG) emission information to solve…
Abstract
Purpose
The purpose of this paper is to develop a decision support system to consider geographic information, logistics information and greenhouse gas (GHG) emission information to solve the proposed green inventory routing problem (GIRP) for a specific Taiwan publishing logistics firm.
Design/methodology/approach
A GIRP mathematical model is first constructed to help this specific publishing logistics firm to approximate to the optimal distribution system design. Next, two modified Heuristic-Tabu combination methods that combine savings approach, 2-opt and 1-1 λ-interchange heuristic approach with two modified Tabu search methods are developed to determine the optimum solution.
Findings
Several examples are given to illustrate the optimum total inventory routing cost, the optimum delivery routes, the economic order quantities, the optimum service levels, the reorder points, the optimum common review interval and the optimum maximum inventory levels of all convenience stores in these designed routes. Sensitivity analyses are conducted based on the parameters including truck loading capacity, inventory carrying cost percentages, unit shortage costs, unit ordering costs and unit transport costs to support optimal distribution system design regarding the total inventory routing cost and GHG emission level.
Originality/value
The most important finding is that GIRP model with reordering point inventory control policy should be applied for the first replenishment and delivery run and GIRP model with periodic review inventory control policy should be conducted for the remaining replenishment and delivery runs based on overall simulation results. The other very important finding concerning the global warming issue can help decision makers of GIRP distribution system to select the appropriate type of truck to deliver products to all retail stores located in the planned optimal delivery routes depending on GHG emission consumptions.