Towards Operating Curves of Additive Manufacturing Equipment: Production Logistics and its Contribution to Increased Productivity and Reduced Throughput Time

Stittgen, Tobias; Schleifenbaum, Johannes Henrich

doi:10.1016/j.procir.2020.06.006

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…A common way to describe and implement such relationship are the so-called operating curves (or CT-TH curves). Since these operating curves are technology-dependent, some references Schleifenbaum, 2020 andSchleifenbaum, 2021) have developed simulation models of a AMSC to provide such curves.…”

Section: Evolution and Problem Variantsmentioning

confidence: 99%

An overview on the use of operations research in additive manufacturing

Framiñán

Fernández-Viagas

2022

Ann Oper Res

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Additive Manufacturing (AM) is a disruptive production technology that challenges many well-established, conventional practices in Operations and Supply Chain Management decisions. Consequently, new context-specific decision problems have appeared in this area, while existing decision problems must be adapted or extended to this context. In this overview, these decision problems in AM are highlighted and classified, describing the different decision in an unified manner and citing the underlying OR techniques that have been applied to solve them. The aim of the paper is that, by presenting an overview of the AM-related problems in a systematic, OR- or Decision-Making-centred (rather than technology-centred) manner, the OR community can become more aware of this stream of research and thus be more active and contribute with some high-quality work. Open research challenges, as well as avenues for future research are also discussed.

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Section: Evolution and Problem Variantsmentioning

confidence: 99%

An overview on the use of operations research in additive manufacturing

Framiñán

Fernández-Viagas

2022

Ann Oper Res

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“…• Utilization of an AM machine is typically measured as the volumetric share of parts populating the build envelope [19,20]. A definition of utilization and throughput following the perspective of production systematics is proposed by the authors in one of their recent studies [2]. A similar nomenclature was only found to be used as an auxiliary variable in the context of [21].…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to the author's most recent study, LPBF production environments are characterized by work content distributions (see Sect. 2.1) which are rarely found in the context of conventional manufacturing [2]. Like a job-shop environment, e.g.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of utilization for LPBF manufacturing systems

Stittgen

Schleifenbaum

2020

Prod. Eng. Res. Devel.

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Due to resolving major technological challenges Additive Manufacturing (AM) is on the brink of industrialization. In order to operate capital-intensive AM equipment in an economically viable manner, service providers must configure their production environment in a way which enables high capacity utilization and short throughput times while minimizing work in process. The interrelation of those three mentioned production-related key performance indicators, also known as the scheduling dilemma, must be addressed with due consideration of the technology’s characteristics. Within the framework of this paper the authors describe the impact of a service provider’s facility configuration regarding machine pool, operator availability and distribution of work content on the production system’s utilization. The evaluations rely on a simulation model developed in Matlab®, which allows for modification and execution of production schedules within AM facilities of different configurations. The validation of the proposed model is based on empirical data gathered on the shopfloor of GKN Additive, a global AM service provider.

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“…Moreover, from the perspective of IR4 and competitiveness, simulation is believed to increase the productivity of the manufacturing process [4]. However, contrary to recent findings linking additive manufacturing positively with productivity enhancements [7,41], [10] have revealed that additive manufacturing is perceived to have a negative impact on productivity at the operational level.…”

Section: The Impact Of Ir4 On Productivitymentioning

confidence: 91%

Productivity Enhancements through Fourth Industrial Revolution Technologies: Comparison of Small- and Medium-Sized Enterprises with Large Enterprises

Backhaus¹,

Nadarajah²

EPiC Series in Computing

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The purpose of this paper is to compare small- and medium-sized enterprises (SMEs) against largeenterprises (LEs) in terms of their productivity enhancements through Fourth Industrial Revolution(IR4) technologies, specifically in the context of developing countries.This study adopted a quantitative approach. Questionnaires were distributed to Malaysian manufacturers registered under Malaysia External Trade Development Corporation MATRADE via email and in-person at the Smart Manufacturing Uprising conference in Kuala Lumpur. A total of 76valid responses were obtained and analyzed using multiple regression.SMEs’ productivity was found to have significantly increased due to the Internet of Things and digital automation without sensors, while LEs’ productivity revealed a significant improvement fromintegrated engineering systems.The small sample size of 76 raises generalizability issues. Thus, large-scale quantitative research isrecommended to validate the relationships identified in this study.The study is among the first to identify and compare the significant relationships between IR4technologies and productivity enhancements among SMEs and LEs. The findings are of interest to academics as well as to public and private sector practitioners in directing resources to technologiesthat enhance productivity.

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Towards Operating Curves of Additive Manufacturing Equipment: Production Logistics and its Contribution to Increased Productivity and Reduced Throughput Time

Cited by 8 publications

References 3 publications

An overview on the use of operations research in additive manufacturing

An overview on the use of operations research in additive manufacturing

Simulation of utilization for LPBF manufacturing systems

Productivity Enhancements through Fourth Industrial Revolution Technologies: Comparison of Small- and Medium-Sized Enterprises with Large Enterprises

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