Analysis of SCF under sales promotional schemes: an application of interpretive structural modelling approach

Chirra, Sricharan; Kumar, Dinesh

doi:10.1080/00207543.2018.1463474

Cited by 18 publications

(13 citation statements)

References 68 publications

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“…Because of fluctuating demand of the customers, the flexibility of AM system to design and produce a variety of products to meet customer requirements is a crucial factor in achieving competitiveness (Chirra and Kumar, 2018;Singh et al, 2007). Manufacturing flexibility may lead to improved performance at the operational, tactical and strategic levels (Babu et al, 2020;Chowdhury et al, 2020;Dwivedi et al, 2017).…”

Section: Manufacturing Flexibilitymentioning

confidence: 99%

“…The data were collected within a period of two months. The final SSIM is developed based on the highest frequency assigned to V, A, X and O (Chirra and Kumar, 2018) and is shown in Table 3. For instance, if AMIF 01 leads to AMIF 11, the relationship between AMIF 01 and AMIF 11 is represented by V. Similarly, if AMIF 12 leads to AMIF 02 then it is represented by A, if AMIF 09 and AMIF 10 are interrelated, then it is represented by X and if AMIF 03 and AMIF 14 has no relationship, it is represented by O.…”

Section: Structural Self-interaction Matrixmentioning

confidence: 99%

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Investigating additive manufacturing implementation factors using integrated ISM-MICMAC approach

Sonar

Khanzode

Akarte

2020

RPJ

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Purpose The purpose of this paper is to identify various factors influencing additive manufacturing (AM) implementation from operational performance in the Indian manufacturing sector and to establish the hierarchical relationship among them. Design/methodology/approach The methodology includes three phases, namely, identification of factors through systematic literature review (SLR), interviews with experts to capture industry perspective of AM implementation factors and to develop the hierarchical model and classify it by deriving the interrelationship between the factors using interpretive structural modeling (ISM), followed with the fuzzy Matrice d’Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) analysis. Findings This research has identified 14 key factors that influence the successful AM implementation in the Indian manufacturing sector. Based on the analysis, top management commitment is an essential factor with high driving power, which exaggerates other factors. Factors, namely, manufacturing flexibility, operational excellence and firm competitiveness are placed at the top level of the model, which indicates that they have less driving power and organizations need to focus on those factors after implementing the bottom-level factors. Research limitations/implications Additional factors may be considered, which are important for AM implementation from different industry contexts. The variations from different industry contexts and geographical locations can foster the theoretical robustness of the model. Practical implications The proposed ISM model sets the directions for business managers in planning the operational strategies for addressing AM implementation issues in the Indian manufacturing sector. Also, competitive strategies may be framed by organizations based on the driving and dependence power of AM implementation factors. Originality/value This paper contributes by identification of AM implementation factors based on in-depth literature review as per SLR methodology and validation of these factors from a variety of industries and developing hierarchical model by integrative ISM-MICMAC approach.

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Section: Manufacturing Flexibilitymentioning

confidence: 99%

Section: Structural Self-interaction Matrixmentioning

confidence: 99%

Investigating additive manufacturing implementation factors using integrated ISM-MICMAC approach

Sonar

Khanzode

Akarte

2020

RPJ

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“…Manufacturing flexibility The flexibility of the additive manufacturing system to design and produce a variety of products aligning customer requirements and demands Chirra and Kumar (2018), Singh et al (2007) Operational excellence Effective utilization of organizational resources, manufacturing technology, and systems towards highly productive operations Kulkarni et al (2016), Voss and Winch (1996) Supply chain Customer and service management Cocreation and active participation of customers in the various business facets of AM driven organization such as product ideation, product designing, processing, customizing, and post-delivery feed-back to improve operations further Environmental uncertainty Any unpredicted changes within or outside the organization Chen and Paulraj (2004) Attri, R., Singh, B., & Mehra, S. (2017). Analysis of interaction among the barriers to 5S implementation using interpretive structural modeling approach.…”

Section: Firm Competitivenessmentioning

confidence: 99%

A Conceptual Framework on Implementing Additive Manufacturing Technology Towards Firm Competitiveness

Sonar

Khanzode

Akarte

2020

JGBC

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Additive manufacturing (AM) is one of the technologies that revolutionize production operations by developing digital competencies to satisfy changing market demands. The purpose of this paper is to explore essential AM implementation factors from an operational performance point of view. The methodology includes identification of AM implementation factors through past literature and semi-structured interviews with experts to capture industry perspectives. Initially, eighteen AM implementation factors have been identified and validated through nine industry experts from Indian manufacturing firms. We found various dimensions or key terms from transcripts and tried to map those dimensions across AM implementation factors. In the process, four factors found unrelated to the AM implementation process. The novelty of this paper lies in the identification of essential AM implementation factors and suggesting a conceptual model based on the linkage between AM implementation factors and firm competitiveness signifying the structured approach towards leveraging AM for competitiveness.

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“…The current globally competitive environments witness technological changes, shorter product life cycles, supply chain disruptions, rapid changes in the customer needs and expectations (Tachizawa and Thomsen, 2007; Merschmann and Thonemann, 2011; Chirra and Kumar, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, uncertainty in the business environment and how to cope with it is on the agendas of many companies (Chirra and Kumar, 2018). Uncertainties manifest themselves in many different forms, including demand fluctuations, machine breakdowns, delivery problems, rejects and reworks, labor absenteeism, actions of competitors.…”

Section: Introductionmentioning

confidence: 99%

Supplier flexibility and performance: an empirical research

Üstündağ

Ungan

2020

BPMJ

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PurposeA literature review conducted for this study showed that although different aspects of supply chain flexibility have been studied, research on the factors affecting supplier flexibility and the impact of supplier flexibility on supplier performance are conspicuously absent. The present study aims to fill in this gap in the literature.Design/methodology/approachA quantitative research design was adopted. Data were collected from 119 manufacturing companies operating in Turkey and analyzed by structural equation modeling.FindingsThe findings show that supplier flexibility is associated with environmental uncertainty, relationships with the buyer and the quality of information shared between the buyer and the supplier, but not with the level of information shared between the buyer and the supplier. The findings also indicate that supplier flexibility affects supplier performance.Research limitations/implicationsThe generalizability of the findings can be considered as a limitation. In the future, sector-based larger-scale studies are desirable. Also, data can be collected from both the main business and suppliers and findings may be compared.Practical implicationsThe findings of this study help decision-makers to make more informed decisions about information exchange, supplier relationships and environmental uncertainties depending on the degree of flexibility that they request from their suppliers.Originality/valueA literature review for this study indicated that there is a lack of research on the factors affecting supplier flexibility. Therefore, this research is expected to make an original contribution to the literature.

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Analysis of SCF under sales promotional schemes: an application of interpretive structural modelling approach

Cited by 18 publications

References 68 publications

Investigating additive manufacturing implementation factors using integrated ISM-MICMAC approach

Investigating additive manufacturing implementation factors using integrated ISM-MICMAC approach

A Conceptual Framework on Implementing Additive Manufacturing Technology Towards Firm Competitiveness

Supplier flexibility and performance: an empirical research

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