Spare part segmentation for additive manufacturing – A framework

Ghuge, Sagar; Dohale, Vishwas; Akarte, Milind

doi:10.1016/j.cie.2022.108277

Cited by 22 publications

(9 citation statements)

References 166 publications

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“…In this research, the linear min-max normalization is applied because of its several advantages over other approaches—the robustness and simplicity of the calculation (Aytekin, 2021; Jain et al. , 2005), it also provides accuracy and stability inside a dynamic environment, which involve differing units and nature of criteria (Ghuge et al. , 2022; Wang et al.…”

Section: The Case and Resultsmentioning

confidence: 99%

“…Several approaches have been discussed in the literature for normalizing the scores: vector normalization, logarithmic min-max, linear sum, linear max, and linear min-max (Vafaei et al, 2016(Vafaei et al, , 2020. In this research, the linear min-max normalization is applied because of its several advantages over other approaches-the robustness and simplicity of the calculation (Aytekin, 2021;Jain et al, 2005), it also provides accuracy and stability inside a dynamic environment, which involve differing units and nature of criteria (Ghuge et al, 2022;Wang et al, 2018), it need least computation time (Lakshmi and Venkatesan, 2014), and this approach makes the criteria dimensionless by removing its units (Opricovic and Tzeng, 2004). Linear min-max is: calculated using a two-point rating scale (Yes/No), and other criteria are assessed using a nine-point rating scale (see Table 4).…”

Section: Evaluation Of the Proposed Methodologymentioning

confidence: 99%

“…AM technologies are widely adopted in various industries, including aerospace, automobile, healthcare and construction, food, jewelry, and fashion (Ambilkar et al, 2023;Caviggioli and Ughetto, 2019;Kunovjanek et al, 2020). AM allows producing highly complex artifacts using large variety of raw materials such as polymer, metal, precious metals, sandstone, ceramic, glass, wood, fabric, food substances, and biomaterial that generate minimal waste, reducing lead time and cost (Dohale et al, 2023a, b;Ghuge et al, 2022;Khorram Niaki and Nonino, 2018). Based on the product to be produced, AM-enabled firms require suitable material of prescribed quality on time and for the same selecting an appropriate raw material supplier plays a crucial role.…”

Section: Literature Reviewmentioning

confidence: 99%

“…AM allows producing highly complex artifacts using large variety of raw materials such as polymer, metal, precious metals, sandstone, ceramic, glass, wood, fabric, food substances, and biomaterial that generate minimal waste, reducing lead time and cost (Dohale et al. , 2023a, b; Ghuge et al. , 2022; Khorram Niaki and Nonino, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

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Sustailient supplier selection using neutrosophic best–worst approach: a case study of additively manufactured trinkets

Ambilkar

Verma

Das

2023

BIJ

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PurposeThis research work has developed an integrated fuzzy Delphi and neutrosophic best–worst framework for selecting the sustailient (sustainable and resilient) supplier for an additive manufacturing (AM)-enabled industry.Design/methodology/approachAn integrated fuzzy Delphi method (FDM) and neutrosophic best–worst method (N-BWM) approach is developed. 34 supplier evaluation criteria falling under 4 groups, that is, traditional, sustainable, resilient, and AM specific, are identified and validated using the FDM. Afterward, the weights of each criterion are measured by N-BWM. Later on, the performance evaluation is carried out to determine the best-suited supplier. Finally, sensitivity analysis is performed to know the stability and robustness of the proposed framework.FindingsThe outcome indicates the high performance of the suggested decision-making framework. The analysis reveals that supplier 4 (S4) is selected as the most appropriate for a given firm based on the FDM and N-BWM method.Research limitations/implicationsThe applicability of this framework is demonstrated through an industrial case of a 3D-printed trinket manufacturer. The proposed research helps AM decision-makers better understand resiliency, sustainability, and AM-related attributes. With this, the practitioners working in AM business can prioritize the supplier selection criteria.Originality/valueThis is the primitive study to undertake the most critical aspect of supplier selection for AM-enabled firms. Apart from this, an integrated FDM-N-BWM framework is a novel contribution to the literature on supplier selection.

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Section: The Case and Resultsmentioning

confidence: 99%

Section: Evaluation Of the Proposed Methodologymentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Sustailient supplier selection using neutrosophic best–worst approach: a case study of additively manufactured trinkets

Ambilkar

Verma

Das

2023

BIJ

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“…In this field, Gughe et al used the Delphi method to determine and validate the relevant criteria for the classification of spare parts. This generic framework benefits professionals in identifying technically compatible spare parts for AM that enhance the company's competitiveness [22].…”

Section: Introductionmentioning

confidence: 99%

Spare Parts Made by Additive Manufacturing to Improve Preventive Maintenance

Cid

Pereira²,

Díaz-Cacho³

et al. 2022

Applied Sciences

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This research work is aimed at identifying the applicability of additive manufacturing (AM) to spare parts in the automotive manufacturing industry, specifically in the field of preventive maintenance. A procedure of AM applicability to preventive maintenance is presented. To this end, the results of the application of a case that has been carried out in the Stellantis factory located in the Vigo (Spain) area have been obtained. The procedure was based on an initial inventory from which a series of lists have been obtained that were later categorised. This was performed in order to know the technical and economic applicability of polymeric spare parts replacement by parts made of AM in polyamide material (PA12) through two manufacturing methods (HP Multi-Jet and Selective Laser Sintering technology, SLS). Original spare parts were characterised and compared with replacement parts made in AM. This article provides observations, recommendations and conclusions to summarise the situation regarding the use of AM techniques to improve preventive maintenance.

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