Abstract
The load of resources in the block logistics process influences the mid-term planning and scheduling of shipyard management. Therefore, load analysis must be conducted before confirming the plans. However, conducting the analysis using the traditional mathematical model is difficult. This study suggests using the discrete event simulation (DES) method for load analysis in advance. The simulation model of actual shipyard block logistics is established by the DES software. Data on the structure of the product, process, resource, and schedule are clearly defined to match the DES model. Partial results through the simulation are discussed in terms of real production activities. The outputs prove that the proposed simulation model can help planners arrive at reasonable and rational decisions related to shipbuilding plans. This simulation method can contribute in strengthening the competitiveness of shipyards.
Highlights
The shipbuilding industry is facing the complex and multifaceted problem of low demand and excessive production capacity as a result of the global economic crisis and global shipping market slump
We focus on block logistics to build a decision-making support for mid-term planning and scheduling
The system can be realized after the simulation model is built, and the simulation results are presented in the iJOE ‒ Volume 11, Issue 6, 2015
Summary
The shipbuilding industry is facing the complex and multifaceted problem of low demand and excessive production capacity as a result of the global economic crisis and global shipping market slump. The human and material costs have risen sharply in the Chinese shipbuilding market Given these difficult situations, the surviving shipyards are making every effort to strengthen their ability to improve their management and productivity using new technologies. Lee et al (2014) concluded that the six key factors of shipyard productivity are product, process, facility, space, human, and scheduling Among these factors, facility, space, human, and scheduling are limited resources and are the key parameters in productivity improvement. Facility, space, human, and scheduling are limited resources and are the key parameters in productivity improvement They found that M&S is the most suitable solution to determining facility, space, human, and schedule in supporting decision-making through “plan–do–check –act” cycles[1]. The M&S method is used to analyze the load of block logistics process as a discrete event simulation (DES) solution before confirming the planning and scheduling
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