A modified genetic algorithm for time and cost optimization of an additive manufacturing single-machine scheduling

Fera, Marcello; Fruggiero, Fabio; Lambiase, Alfredo; Macchiaroli, R.; Todisco, V.

doi:10.5267/j.ijiec.2018.1.001

Cited by 50 publications

(24 citation statements)

References 16 publications

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“…Bordeenithikasem et al [156] produced metallic glass using laser foil printing (annealed it by laser spike annealing method) [157] and achieved better properties than the properties of bulk metallic glass produced by other conventional methods. Recently, researchers have begun the optimization of AM by scheduling a single machine using the genetic algorithm for saving time and cost [158]. A complete path of movement of manufacturing techniques from conventional to advanced can be observed from the above discussion and is presented in Fig.…”

Section: Discussion and Findingsmentioning

confidence: 99%

Review of materials used in laser-aided additive manufacturing processes to produce metallic products

et al. 2018

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Rapid prototyping (RP) or layered manufacturing (LM) technologies have been extensively used to manufacture prototypes composed mainly of plastics, polymers, paper, and wax due to the short product development time and low costs of these technologies. However, such technologies, with the exception of selective laser melting and sintering, are not used to fabricate metallic products because of the resulting poor life, short cycle, poor surface finish, and low structural integrity of the fabricated parts. The properties endowed by these parts do not match those of functional parts. Therefore, extensive research has been conducted to develop new additive manufacturing (AM) technologies by extending existing RP technologies. Several AM technologies have been developed for the fabrication of metallic objects. These technologies utilize materials, such as Ni-, Al-, and Ti-based alloys and stainless steel powders, to fabricate high-quality functional components. The present work reviews the type of materials used in laserbased AM processes for the manufacture of metallic products. The advantages and disadvantages of processes and different materials are summarized, and future research directions are discussed in the final section. This review can help experts select the ideal type of process or technology for the manufacturing of elements composed of a given alloy or material (Ni, Ti, Al, Pb, and stainless steel).

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Section: Discussion and Findingsmentioning

confidence: 99%

Review of materials used in laser-aided additive manufacturing processes to produce metallic products

et al. 2018

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“…Another challenge is the use of material powder as the base for the LC machine, whereby the type of material powder is adjusted to the material of repair object, otherwise, the result of reparation would not be optimal [67,69]. In relation to the design of products to be reconstructed, several papers focused on the development of algorithms for reconstructing worn out parts [88,98]. Therefore, a 3D model of reconstructed worn out parts would serve as the input for the LC machine and the algorithm would be based on the RE concept for the purpose of object comparison between the initial object and the damaged object.…”

Section: Repaired Object Challenge Of Repair Processmentioning

confidence: 99%

Additive Manufacturing for Repair and Restoration in Remanufacturing: An Overview from Object Design and Systems Perspectives

2019

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Repair and restoration is an important step in remanufacturing as it ensures end-of-life products are returned to as-new condition before entering the subsequent life cycle. Currently, such processes are carried out manually by skilled workers. The advent of additive manufacturing (AM) has encouraged researchers to investigate its potential in automated repair and restoration, thus rendering it as a more effective method for remanufacturing. However, the application of this widespread technology for repair and restoration in remanufacturing is still new. This paper provides an overview of the principles and capabilities offered by the existing metal AM technology for object repair and restoration namely, direct energy deposition, powder bed fusion, and cold spray technology. Their applications in the repair and restoration of remanufacturable components are presented and discussed along with issues requiring attention from the perspectives of object design and process systems capabilities. The study provides a compilation of the challenges in AM repair and restoration, which primarily lie in the aspects of geometrical complexity, geometric dimensioning and tolerancing, material compatibility, and pre-processing requirements since it is critical for remanufacturing to restore end-of-life components to as new-condition. The paper concludes with suggestions for further works in AM restoration to enable product life cycle extension in the circular economy.

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“…The problem was encapsulated within constraints and graph theory to represent relationships between individual parts, and search algorithms were introduced to find solution with minimum makespan. A modified genetic algorithm for time and cost optimization of an AM single-machine scheduling problem was proposed by Fera et al [42] to balance the optimization of earliness/tardiness and production costs. Oh et al [43] studied the production planning and scheduling problem in production with multiple AM machines where a heuristic algorithm was proposed for decision-making on build orientation, 2D packing and scheduling on multiple AM machines based on the longest cycle time.…”

Section: Related Workmentioning

confidence: 99%

A dynamic order acceptance and scheduling approach for additive manufacturing on-demand production

Qiang

Zhang

Wang

et al. 2019

Int J Adv Manuf Technol

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Additive manufacturing (AM), also known as 3D printing, has been called a disruptive technology as it enables the direct production of physical objects from digital designs and allows private and industrial users to design and produce their own goods enhancing the idea of the rise of the "prosumer". It has been predicted that, by 2030, a significant number of small and medium enterprises will share industry-specific AM production resources to achieve higher machine utilization. The decision-making on the order acceptance and scheduling (OAS) in AM production, particularly with powder bed fusion (PBF) systems, will play a crucial role in dealing with on-demand production orders. This paper introduces the dynamic OAS problem in on-demand production with PBF systems and aims to provide an approach for manufacturers to make decisions simultaneously on the acceptance and scheduling of dynamic incoming orders to maximize the average profit-per-unit-time during the whole makespan. This problem is strongly NP hard and extremely complicated where multiple interactional subproblems, including bin packing, batch processing, dynamic scheduling, and decision-making, need to be taken into account simultaneously. Therefore, a strategy-based metaheuristic decisionmaking approach is proposed to solve the problem and the performance of different strategy sets is investigated through a comprehensive experimental study. The experimental results indicated that it is practicable to obtain promising profitability with the proposed metaheuristic approach by applying a properly designed decision-making strategy.

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A modified genetic algorithm for time and cost optimization of an additive manufacturing single-machine scheduling

Cited by 50 publications

References 16 publications

Review of materials used in laser-aided additive manufacturing processes to produce metallic products

Review of materials used in laser-aided additive manufacturing processes to produce metallic products

Additive Manufacturing for Repair and Restoration in Remanufacturing: An Overview from Object Design and Systems Perspectives

A dynamic order acceptance and scheduling approach for additive manufacturing on-demand production

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