A product-technology portfolio alignment approach for food industry

A multi-criteria decision making with z-numbers

Bibliographic Data

ID21295282
AuthorsNima Garousi Mokhtarzadeh, Nima Garousi Mokhtarzadedeh (0000-0002-7265-8026, University of Tehran), H A Mahdiraji (0000-0002-8382-6603, Coventry University), Vahid Jafari-Sadeghi (0000-0003-3083-6119, Coventry University), Arash Soltani (0000-0002-2149-3487, University of Tehran), AliAsghar Abbasi Kamardi, Ali Asghar Abbasi Kamardi (0000-0001-6074-6128, University of Tehran)
Year2020
Volume122
Issue12
Pages3947-3967
Publication date2020-06-03
Open AccessYes
TypeARTICLE
VenueBritish Food Journal (JOURNAL)
Journal identifiersISSN: 0007-070X • E-ISSN: 1758-4108
PublisherEmerald (PUBLISHER)
DOI10.1108/bfj-02-2020-0115
OpenAlexW3026798414
LanguageEN
Citations received13
References cited50

Purpose To design a novel hybrid approach to illustrate a reciprocal alignment to integrate future products and technologies. This mixed qualitative-quantitative method aims to optimize the final product portfolio and production technologies alignment in the food industry. Design/methodology/approach A list of products and technologies is extracted and evaluated by experts employing Market Attractiveness and Ease of Implementations Matrix (MA-EI) for products and attractiveness and technological Capability Matrix (A-C) for technologies. Weights of high-scored alternatives are attained applying the Z-number extension of Best Worst Method (ZBWM). After the product-technology matrix is formed and the alignment scores of each pair are determined by experts. Subsequently, final scores are computed, and a framework is proposed by electing high-ranked products and technology of each cluster to form the aligned product and technology portfolios of a food and hygiene industry company. Findings By employing an uncertain multicriteria decision-making approach besides product and technology matrices in a food industry corporation, among 40 technology and product, 13 products by 6 technologies are proposed. Thus, only six technology are necessary to manufacture the highly important and effective products. Originality/value The combination of product and technology analysis matrixes with an uncertain decision-making approach is considered as a novel approach in this research. Moreover, the distinctness between the present study and other researches is the concurrent unified aspect of product portfolio and technology optimization and its implementation in the planning discussion, especially in the food industry

Business · Manufacturing engineering · New product development · Portfolio · Process management · Product (mathematics) · Computer Science · Engineering · Marketing · Mathematics · Multi-Criteria Decision Making · Sustainable Supply Chain Management · Technology Assessment and Management

Tools

Open DOIOpen Access