Determining ship outfitting task priorities using latest finish time distributions

Abstract

This paper examines the relationships constraining the different mounting tasks of the outfitting process to systematically develop task priorities. Task priorities arc selected with the goal of maximizing the controllability of the outfitting process and minimizing the potential for rework. To develop these priorities, the complex network of precedence relationships governing the outfitting process is first defined, and then priorities are assigned based on Latest Finish Time distributions created using Monte Carlo simulation. A test case of an auxiliary machinery room section of a pipelaying vessel was performed to show the feasibility of the developed method.