A New Fuzzy Risk Management Model for Production Supply Chain Economic and Social Sustainability
Bibliographic Data
| ID | 15066701 |
|---|---|
| Authors | Goran Đurić (University of Belgrade), Gordana Todorović (Public Utility Company Kragujevac, Kragujevac, Serbia), Aleksandar Đorđević (0000-0003-2856-6578, University of Kragujevac, corresponding author), Ankica Borota Tišma (Management Department, Belgrade Business School, Belgrade, Serbia) |
| Year | 2019 |
| Volume | 32 |
| Issue | 1 |
| Pages | 1697-1715 |
| Publication date | 2019-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economic Research-Ekonomska Istraživanja (JOURNAL) |
| Journal identifiers | ISSN: 1331-677X • E-ISSN: 1848-9664 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1331677x.2019.1638287 |
| OpenAlex | W2964031211 |
| Language | EN |
| Citations received | 5 |
| References cited | 38 |
The issues of operational, organisational and process risk assessment in supply chains (SCs) are the most usually analysed, while other risk groups (like economic and social risks) are not taken into account, even though they have a critical effect on the competitive advantage and SCs sustainability over long time periods. The determination of risk value that may arise due to the materialisation of each defined risk factor (RF) is based on the assessment of the severity of RF consequences and frequency of RF occurrence. These judgments are obtained by decision makers and modelled by using fuzzy set theory. The relative importance of RFs are stated by fuzzy pair-wise comparison matrices in compliance with fuzzy analytical hierarchy process (FAHP). The risk level of SCs could be obtained in an exact way by applying fuzzy logic. The proposed model, to be presented in this paper, provides a possibility to easily and simply determine risk level from the automotive industry SC and to propose appropriate management initiatives that should lead to a reduction or elimination of RF influence
Automotive industry · Business · Economics · Fuzzy logic · Fuzzy set · Hierarchy · Microeconomics · Risk management · Service management · Supply chain · Supply chain management · Supply chain risk management · Sustainability · Computer Science · Engineering · Risk and Safety Analysis · Supply Chain Resilience and Risk Management · Sustainable Supply Chain Management
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| Unique citing works | 5 |
|---|---|
| Citations per year | 0,83 |
| Citation span | 2020 - 2024 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |