Analysis of factors influencing AM application in food sector using ISM

Abstract

Purpose

The purpose of this paper is to report the analysis of factors influencing additive manufacturing (AM) application in the food domain.

Design/methodology/approach

Based on literature review, 16 factors are being considered in the study. Interpretive structural modelling is used as a modelling approach. The derived structural model indicates the dominant factors. Matriced’ impacts croises-multipication applique and classment (cross-impact matrix multiplication applied to classification) (MICMAC) analysis is being done to group the factors.

Findings

Based on the study, it has been found that raw material usage, the shelf life of food, demand for the food and accuracy are dominant factors. MICMAC analysis indicated that number of driving, dependent and linkage factors are 6, 4 and 4, respectively.

Research limitations/implications

In the present study, 16 factors are being considered. In future, additional factors could be considered to deal with advancements in the food domain.

Practical implications

The study has been executed in discussion with practitioners in AM, and hence derived inferences have practical validity. Food making has become more agile with 3D printer and has become sensitive to customer demand.

Social implications

Social implications are primarily highlighted by the aspect of controlling the exact amount of nutrients corresponding to the application of food. In certain commercial applications, people can customize their shape and ingredients to be injected into the food.

Originality/value

The development of a model for the analysis of factors influencing AM in the food domain is the original contribution of the authors.

Citation

Palaniappan, A., Vinodh, S. and Ranganathan, R. (2020), "Analysis of factors influencing AM application in food sector using ISM", Journal of Modelling in Management, Vol. 15 No. 3, pp. 919-932. https://doi.org/10.1108/JM2-11-2018-0190