Engineering economic evaluation method and decision support tool for digital technology selection in the food industry (a case study of Yili group)

Authors

  • Yan Chaoheng Belarusian National Technical University, 65 Niezaliezhnasci Avenue, Minsk 220013, Belarus

Keywords:

digital technology, technology selection, engineering economics, multi-criteria decision making, fuzzy analytic hierarchy process, TOPSIS method, food industry, Yili group

Abstract

This paper aims to construct an integrated engineering economic evaluation framework to address the complexity, uncertainty, and multi-objective nature of digital technology selection in the food industry. Taking Yili group, a Chinese dairy giant, as a case study, this research innovatively proposes a hybrid evaluation model combining fuzzy analytic hierarchy process and the technique for order of preference by similarity to ideal solution. The research in this paper does not only provide methodological support for the technological decisions of food enterprises but also offers theoretical reference for engineering economic evaluation in related fields.

Author Biography

  • Yan Chaoheng, Belarusian National Technical University, 65 Niezaliezhnasci Avenue, Minsk 220013, Belarus

    postgraduate student at the department of economics and management of innovative projects in industry, faculty of marketing, management and entrepreneurship

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Published

2026-06-09

Issue

No. 1 (2026): Journal of the Belarusian State University. Economics

Section

O. Economic Development, Innovation, Technological Change, and Growth

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Copyright (c) 2026 Journal of the Belarusian State University. Economics

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How to Cite

[1]
Chaoheng, Y. 2026. Engineering economic evaluation method and decision support tool for digital technology selection in the food industry (a case study of Yili group). Journal of the Belarusian State University. Economics. 1 (Jun. 2026), 105–113.