Additive Manufacturing Process Selection Using MCDM

Dohale, Vishwas; Akarte, Milind; Gupta, Shivangni; Verma, Virendra Kumar

doi:10.1007/978-981-15-3639-7_72

Cited by 14 publications

(11 citation statements)

References 13 publications

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“…Future studies should consider the Industry 4.0 technological enablers, viz. Additive manufacturing (3D printing), blockchain, IIoT, virtual manufacturing, etc., to understand the strategic fit of these technologies with MS aspects (Dohale et al , 2021a, c). Researchers should determine the strategic fit of these technological elements with the production systems, manufacturing decisions, and manufacturing performances to justify the deployment of these technologies in manufacturing organizations (Dohale et al , 2021c).…”

Section: Discussionmentioning

confidence: 99%

“…Currently, an entire globe is witnessing the disruption in manufacturing and supply chain operations due to the unprecedented COVID-19 pandemic (Dohale et al , 2021a, e; Okorie et al , 2020). Thus, it would be interesting to exhibit the congruence of different aspects of MS with BS, CS, and supply chain strategy for determining the level of fit between them to mitigate the risks to manufacturing and supply chain operations owing to disruptive events.…”

Section: Discussionmentioning

confidence: 99%

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Systematic review of manufacturing strategy studies focusing on congruence aspect

Dohale

Akarte

Verma

2021

BIJ

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PurposeThis study provides a systematic review of the literature within the manufacturing strategy (MS) domain focusing on the congruence aspect of different strategic functions to determine the state-of-the-art research progression and the trend of publications.Design/methodology/approachWe have adopted a five-stage review methodology consisting - 1) Article Identification; 2) Inclusion/Exclusion; 3) Review of the Articles; 4) Literature Analysis; 5) Future research directions. 121 articles focusing on congruence aspects and specific to the MS domain are identified and reviewed. Bibliometric analysis comprising keyword co-occurrence using a VOSviewer© software, and citation analysis is performed. Further, content analysis is carried out to categorize articles based on the type of research methodology, type of tool/method used, and aspects considered for congruence study.FindingsBased on the research gaps identified in the existing literature on the congruence aspect within the MS domain, this study offers future research directions. Majorly, the work found is an empirical survey. Literature scants to develop a framework that helps to quantify the congruence between two strategic functions.Research limitations/implicationsThis study facilitates researchers and practitioners to understand the congruence between different strategic aspects studied in the literature and the level of fit between them. Further, the identified research directions can encourage researchers and practitioners to conceive novel approaches to conduct future works on congruence theme.Originality/valueThe unicity of the current review lies in its theme, i.e. congruence aspect within MS. To the best of author's knowledge, no comparable study is observed to review the congruence aspect in any other domain.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Systematic review of manufacturing strategy studies focusing on congruence aspect

Dohale

Akarte

Verma

2021

BIJ

Self Cite

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“…MCDM based AHP conducts the pairwise comparison of decision criteria and develops priority weights using the popular integer-valued 1-9 AHP scale (Mardani et al, 2015). The AHP model represents the problem in a hierarchy and divides it into sub-problems comprising criteria and sub-criteria (Bouzon et al, 2016;Dohale et al, 2021c). Although AHP received the general acceptability, decision-makers (DMs) may face difficulty in processing ambiguous information and results in subjective judgment due to the integer-valued crisp scale (Jakhar et al, 2020;Liu et al, 2020).…”

Section: The Methodsmentioning

confidence: 99%

“…AHP is a most utilized multi-criteria decision-making (MCDM) technique. MCDM techniques are most suitable when the study aims to determine the appropriate alternatives (Dohale et al. , 2021c).…”

Section: The Methodsmentioning

confidence: 99%

A multi-product and multi-period aggregate production plan: a case of automobile component manufacturing firm

Dohale

Ambilkar

Gunasekaran

et al. 2022

BIJ

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PurposeThe study attempts to develop a multi-product multi-period (MPMP) aggregate production plan (APP) to fulfill the customers' demand in terms of throughput and lead time for achieving market competence.Design/methodology/approachThis research proposes an integrated Fuzzy analytical hierarchy process (FAHP), multi-objective linear programming (MOLP), and simulation approach. Initially, FAHP is used to select the essential objectives a firm desires to achieve. Adopting the MOLP, an APP is formulated for the firm under study. Later, the simulation model of a firm is created in a discrete-event simulation (DES) software Arena© to evaluate the applicability of the proposed APP. A comparative analysis of the manufacturing performance levels (namely throughput, lead time, and resource utilization) achieved through the implication of an existing production plan and proposed APP is conducted further.FindingsThe findings from the study depict that the proposed MOLP-based APP can satisfy the customers' requirement (namely throughput and lead time) and improve the level of resource utilization compared with the firm's existing production plan.Research limitations/implicationsThe proposed research facilitates researchers and practitioners to understand the process of developing MOLP-based MPMP APP and analyzing its applicability through simulation technique to be utilized for developing APP at their firm.Originality/valueAn integrated FAHP-MOLP-simulation framework is the novel contribution to the literature on production planning. It can be extended to solve strategic, tactical, and operational problems in different domains like service, healthcare, supply chain, logistics, and project management.

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“… AM process selection tools include methods to assist in the selection between conventional processes and AM and within different AM processes, e.g. (Meisel et al, 2016;Wortmann et al, 2019;Dohale et al, 2021). Other categorisations of DfAM approaches refer, e.g.…”

Section: Methodsmentioning

confidence: 99%

Additive Manufacturing Research Landscape: A Literature Review

2021

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Additive manufacturing offers several potentials such as the freedom of design, part consolidation, function integration, or time and cost-savings. These potentials make AM interesting for industries such as aerospace, automotive and medical implants, and are also seen as enables for the creation of entirely new business models. Additive manufacturing has the potential to change the current manufacturing landscape substantially and has attracted much attention of industry and academia over the last decades.However, these developments require improvements concerning the technology itself and its successful implementation into the value creation chain. Driven by the promising market opportunities and upcoming technological developments, many research activities started.This paper presents a literature review of publications from the last 20 years. Based on this analysis, the evolution of the AM research landscape is portrayed. The research landscape is organised into four areas: machine and process, material, digital process chain and methodology. The paper summarises developments in each of these areas and concludes by presenting current and discussing future research topics.

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Additive Manufacturing Process Selection Using MCDM

Cited by 14 publications

References 13 publications

Systematic review of manufacturing strategy studies focusing on congruence aspect

Systematic review of manufacturing strategy studies focusing on congruence aspect

A multi-product and multi-period aggregate production plan: a case of automobile component manufacturing firm

Additive Manufacturing Research Landscape: A Literature Review

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