Study on the risk level of food production enterprise based on TOPSIS method

Chen, Tzu-Chia; Yu, Shuyan

doi:10.1590/fst.29721

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…Fluctuation in the price of raw materials/commodity price variance [37,[74][75][76][77][78][79][80] Suppliers' financial standing/financial instability [37,73,75,79,81] Volatile exchange rate [73,74,76,80] Communication, energy, and transportation expenses [73,77,79,82] Environment Natural disasters/climate change/risk in disaster delivery plan [73,74,79,[81][82][83][84][85][86] Accidental disasters (e.g., flood, earthquakes) [23,73,82,84] Low level of environmentally friendly technology [76] Lack of waste treatment management and pollution prevention [37,74,76,77,81,83] Low level of environmentally friendly material (low waste: easy recycling and reuse capability) [74,76,83] Social Occupational health and safety (OHS) practices [37,74,…”

Section: Economicmentioning

confidence: 99%

Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection

Aungkulanon,

Atthirawong,

Luangpaiboon

et al. 2024

Mathematics

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Globalization and multinational commerce have increased the dynamism and complexity of supply networks, thereby increasing their susceptibility to disruptions along interconnected supply chains. This study aims to tackle the significant concern of supplier selection disruptions in the Thai agri-food industry as a response to the aforementioned challenges. A novel supplier evaluation system, PROMETHEE II, is suggested; it combines the Fuzzy Analytical Hierarchy Process (FAHP) with inferential statistical techniques. This investigation commences with the identification of critical indicators of risk in the sustainable supply chain via three phases of analysis and 315 surveys of management teams. Exploratory factor analysis (EFA) is utilized to ascertain six supply risk criteria and twenty-three sub-criteria. Following this, the parameters are prioritized by FAHP, whereas four prospective suppliers for an agricultural firm are assessed by PROMETHEE II. By integrating optimization techniques into sensitivity analysis, this hybrid approach improves supplier selection criteria by identifying dependable solutions that are customized to risk scenarios and business objectives. The iterative strategy enhances the resilience of the agri-food supply chain by enabling well-informed decision-making amidst evolving market dynamics and chain risks. In addition, this research helps agricultural and other sectors by providing a systematic approach to selecting low-risk suppliers and delineating critical supply chain risk factors. By bridging complexity and facilitating informed decision-making in supplier selection processes, the results of this study fill a significant void in the academic literature concerning sustainable supply chain risk management.

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Section: Economicmentioning

confidence: 99%

Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection

Aungkulanon,

Atthirawong,

Luangpaiboon

et al. 2024

Mathematics

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show abstract

“…But there are differences in the overall rating of complex geological regions. Chen et al [12] evaluated the roof fall risk of stratified rock mass roadways. The evaluation model of tunnel roof falls based on the analytic hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was established.…”

Section: Introductionmentioning

confidence: 99%

Application of Research on Risk Assessment of Roadway Roof Falls Based on Combined Weight Matter Element Extension Model

Wang,

Yuan,

et al. 2024

Applied Sciences

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Roof falls in coal mine roadways are the main causes of many casualties, shutdowns and production plan delays. To understand the relationship between the influencing factors of roadway roof fall accidents and the importance ranking of the accidents, we will reduce safety accidents in coal mines. To enable the timely prediction and control of roadway roof fall risks, based on the investigation of many roadway roof fall risk factors, 12 evaluation indexes such as the roadway roof rock thickness, geological conditions and roadway section shape were selected. An evaluation index system of roadway roof fall risks is constructed. A risk degree standard of roadway roof falls is proposed. The risk evaluation model of roadway roof falls was established by using the combination weight of the analytic hierarchy process (AHP), entropy weight method (EW) and matter element extension theory. According to the principle of the maximum membership degree, the risk degree of roadway roof falls is determined. Based on Java Web, a risk assessment system for roadway roof falls was developed. We name the system Multiple Weight-Material Element Web (MW-MEW). The MW-MEW system was used to evaluate the risk degree of roof falls in the C9 return airway of the Xingu Coal Mine. Compared with the evaluation results of the AHP matter element extension model, it is found that the evaluation results of the MW-MEW system are more in line with the actual engineering conditions. The successful application of the MW-MEW system will provide new avenues for the quantitative evaluation of roof fall risks in coal mine roadways.

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Study on the risk level of food production enterprise based on TOPSIS method

Cited by 2 publications

References 23 publications

Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection

Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection

Application of Research on Risk Assessment of Roadway Roof Falls Based on Combined Weight Matter Element Extension Model

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