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Design of production strategy considering the cutting peak demand of electricity in the shipbuilding industry

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This paper proposes a methodology to design production strategy considering the cutting peak demand of electricity in shipyard using the discrete event simulator and technique of genetic algorithm. First, the proposed methodology defines an organization model, product model, constraints and production strategy. The organization model is composed of workers and facilities that are defined by their amount of skill, cost and electricity consumption. The product model is defined by workflow. Work plan is calculated by a discrete event simulator that considers the constraints of electricity and work area size. The production strategy consists of the weights of nine dispatching rules. In the developed process simulator, simulation results change according to the parameters of the production strategy. In addition, an adequate production strategy is designed automatically using this process simulator and a random key-based genetic algorithm for minimizing the total cost in performing all activities. This proposed methodology was applied to several sample scenarios of assembly planning considering the cutting peak demand of electricity in shipyard. Results show that this methodology can construct a work plan that will help cut the peak demand of electricity by adequately changing the production strategy. Furthermore, this methodology also evaluates the organizational performance of the change of production strategy while considering the difference of work area size.

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Correspondence to Taiga Mitsuyuki.

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Mitsuyuki, T., Hiekata, K. & Yamato, H. Design of production strategy considering the cutting peak demand of electricity in the shipbuilding industry. J Mar Sci Technol 19, 425–437 (2014).

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