Abstract
A modified tabu search algorithm for the single-machine scheduling problem using additive manufacturing technology
Highlights
From the beginning of the research works on the Additive Manufacturing (AM), the issues related to the operations management were not put in great evidence because the main goal for the starting research was to demonstrate the quality and the mechanical capability of parts realised with this new technology (Fera et al, 2016)
The operational issues related to the use of AM machines became a urgent issue to be faced when this kind of technology arrived in the real production contexts and the industrial practitioners called for new methodologies able to face the different rules of this new technology
These operational issues were faced in last ten years of research starting from the measurement of the cost performances of this technology (Ruffo & Hague, 2007; Atzeni & Salmi, 2012; Rickenbacher et al, 2013, Costabile et al, 2017; Fera et al, 2017, 2018), arriving to the supplying problems related to the AM machines (Strong et al, 2018; Khajavi et al, 2014; Verboeket & Krikke, 2019)
Summary
From the beginning of the research works on the AM, the issues related to the operations management were not put in great evidence because the main goal for the starting research was to demonstrate the quality and the mechanical capability of parts realised with this new technology (Fera et al, 2016). In this paper we will focus on another operations management issue that is the scheduling of these kind of machines and in particular we will investigate a solution method to improve the reduction of calculation time and the quality of the solutions. This aim will be achieved starting from a mathematical model just present in literature, i.e.
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