Development of an evaluation framework of production planning for the shipbuilding industry

ABSTRACT

Shipbuilding competitiveness can be improved by implementing a production planning system that reflects production environments and can achieve a high degree of completion. Unfortunately, even South Korean shipbuilders, which are the world’s most competitive, lack relevant research on the objectives, and a comprehensive evaluation method for the systemisation of the production planning process and the results of production planning. This study proposes a comprehensive ship production planning process by analysing production planning tasks executed in major South Korean shipyards. In addition, it proposes an evaluation framework and an evaluation system to assess production planning based on an integrated production planning process. The evaluation framework consists of the planning stage and the stage of operation in a company, thereby enabling evaluation of production planning from multiple perspectives. In addition, while establishing the evaluation system for the results of production planning in large-scale shipyards, the study presents the core items necessary to introduce and build a real evaluation system through the framework.

KEYWORDS:

• Planning
• scheduling
• shipbuilding
• evaluation framework

Acknowledgements

This work was partly supported by the National IT Industry Promotion Agency (NIPA) grant funded by the Korea government (MSIP) under grant [number S0604-17-1001]; Prediction based smart SCM framework for offshore industry under grant [number S1106-16-1020], Production strategy and execution simulation technology development for the optimisation of offshore plant production cost and Ministry Of Trade, Industry and Energy (MOTIE) grant funded by the Korea government under grant [number 10050495, Development of the simulation based production management system for the middle-sized shipbuilding companies.]

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1. Clarkson research, July 2015, Order backlog.

Additional information

Funding

This work was partly supported by the National IT Industry Promotion Agency (NIPA) grant funded by the Korea government (MSIP) under grant number S0604-17-1001; Prediction based smart SCM framework for offshore industry under grant number S1106-16-1020, Production strategy and execution simulation technology development for the optimisation of offshore plant production cost and Ministry of Trade, Industry and Energy (MOTIE) grant funded by the Korea government under grant number 10050495, Development of the simulation based production management system for the middle-sized shipbuilding companies.].