Mathematical depiction of costing perspectives allied with the dynamics of processed food supply chain

Abstract

Purpose

This study aims to ground the assessment of the various costing perspectives associated with the dynamics of processed food supply chains (FSCs), for questing the avenues of profitability within a food processing enterprise.

Design/methodology/approach

This study underpins the development of the relation hierarchical model, binding the cluster of the key costing enactors, with the various incurred costs in the food supply chain performance system. The developed model is seeded by the inputs gathered from the case enterprises under consideration, which is further contemplated by extending the fundamentals of bipolar fuzzy sets with the methodology of ELECTRE-II.

Findings

Secured primacies owing to the mutual correspondence between the costing cluster reveal the impact of procurement cost in the dynamics of FSC. Furthermore, an inference is grounded relative to the other entities of total costs like investment, production, transportation, distribution and retailing by considering the perspective of a case enterprise. It yields that procurement costing procedurals need to be deliberated supremely, considering the vitality of the costing perspective associated with the other procedurals of the case enterprise.

Originality/value

The framework developed in the presented work clusters the various costing enactors along with the costings in processed FSCs, binding its holistic perspective rather than the discrete approach. The present research work provides an origin to explore the various miniatures more precisely succeeding to secure primacies for upscaling the profit-cost notions. As costing determines the avenues bundled with the production and consumption of various food commodities.

Citation

Sharma, J., Tyagi, M. and Bhardwaj, A. (2023), "Mathematical depiction of costing perspectives allied with the dynamics of processed food supply chain", Journal of Enterprise Information Management, Vol. 36 No. 6, pp. 1454-1482. https://doi.org/10.1108/JEIM-02-2022-0057