Risk assessment of supply chain for pharmaceutical excipients with AHP-fuzzy comprehensive evaluation

Li, Maozhong; Du, Yunai; Wang, Qiyue; Sun, Chunmeng; Ling, Xiang; Yu, Boyang; Xiong, Yerong

doi:10.3109/03639045.2015.1075027

Cited by 19 publications

(15 citation statements)

References 27 publications

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“…Jaberidoost et al 22 analyse the pharmaceutical supply chain risks in terms of the hierarchy structure of supply chain functions including supply management, finance management, operation management, quality management and sales management. Li et al 57 focus on the potential harms that the risk of pharmaceutical excipients in the supply chain may bring to the patient. In this study, it is important to classify the different types of supply chain uncertainty and risk to assess pharmaceutical supply chain uncertainty and risk in the pharmaceutical industry.…”

Section: Pharmaceutical Supply Chain Uncertainty and Risk Managementmentioning

confidence: 99%

Managing supply chain uncertainty and risk in the pharmaceutical industry

Wang

Jie

2019

Health Serv Manage Res

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The purpose of the conceptual paper is to present a framework for managing pharmaceutical supply chain uncertainty and risk. The supply chain risk management strategy is critical and significant to strategically support the firms to success in the long run. However, very little research has been conducted in the pharmaceutical firms so far. Based on literature review, the supply chain integration capability is considered as effective risk management tools for mitigating the supply chain uncertainty and risk. The authors identified main types of pharmaceutical supply chain uncertainty and risk. The conceptual framework focuses on the relationships among the supply chain integration capability and pharmaceutical supply chain uncertainty and risk. This provides insights into the pharmaceutical supply chain risk management. The study focuses on the pharmaceutical industry. However, the proposed framework can be validated with an empirical work in different sectors. Moreover, this contributes to the pharmaceutical supply chain management literature.

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Section: Pharmaceutical Supply Chain Uncertainty and Risk Managementmentioning

confidence: 99%

Managing supply chain uncertainty and risk in the pharmaceutical industry

Wang

Jie

2019

Health Serv Manage Res

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“…The eigenvalues for the first four factors were greater than 1, which accounts for 63.1% of the variance in the twenty items. Table 7 depicts the loadings of the component matrix rotated with equamax, of which loadings greater than 0.400 are specified as strongly correlated among twenty items [31]. Thus, the study infers that the indexes of D 1 -D 11 load highly on factor one, which indicates the factor of occupational health management.…”

Section: Validity Of Comprehensive Evaluation Systemmentioning

confidence: 91%

“…The weight of the comprehensive evaluation system was calculated using the AHP-fuzzy comprehensive evaluation model, which proceeds as follows [27,31,32]. Using the improved AHP method, we determine the weighting coefficients of the primary index.…”

Section: Determining the Weighting Coefficients For The Designed Systemmentioning

confidence: 99%

Comprehensive Evaluation System of Occupational Hazard Prevention and Control in Iron and Steel Enterprises Based on A Modified Delphi Technique

Song

Chen

Zhang

et al. 2020

IJERPH

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The study designs a comprehensive evaluation system for the prevention and control of occupational hazards, calculates its weight coefficient, and provides a potential strategic and effective tool for the scientific evaluation of occupational hazards in the iron and steel enterprises. The system was established through induction and analysis of relevant literature, personal interview, theoretical analysis, Delphi expert consultation, and special group discussions. Using an improved analytical hierarchy process fuzzy comprehensive evaluation model and on the basis of the improved Delphi expert investigation, the weight of the operability comprehensive evaluation index system is constructed. A three-level index system is established on the basis of harmful factors of occupational activities, health status of employees, protection facilities of occupational hazards, occupational health management, and so on. The index system structure is 4-20-95, and the weight coefficients of the four dimensions are 0.2516, 0.2428, 0.2550, and 0.2506. The recovery rate of the questionnaire was 82.5%, 100.0%, and 100.0%. The effective rates were 75.0%, 100.0%, and 100.0%. Conversely, the expert authority coefficients of the four dimensions are 0.875, 0.769, 0.832 and 0.800. Results show that the consistency factors of the four dimensions are statistically significant. Cronbach’s α coefficient, standardized Cronbach’s α coefficient, and split-half reliability of the comprehensive evaluation index system are 0.959, 0.950, and 0.810, respectively. After factor analysis, four common factors were extracted on the basis of expert opinions, and the cumulative variance was 63.1%. The comprehensive evaluation system for the prevention and control of occupational hazards in the iron and steel enterprises proposed by the study is relatively complete and reasonable.

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“…This study was conducted based on a combination of the AHP and fuzzy comprehensive evaluation models, termed the fuzzy hierarchy comprehensive evaluation method. This method combines the AHP and fuzzy comprehensive evaluation methods by using AHP to determine the weight of each index, and then the fuzzy comprehensive evaluation method assesses each index [22]. This model establishes a weighting set, factor set, and evaluation set, and determines the evaluation matrix and applies the fuzzy synthesis evaluation.…”

Section: Comprehensive Evaluationmentioning

confidence: 99%

Evaluation Method to Select Pure Electric Buses Based on Road Operation Tests

Liu

et al. 2019

WEVJ

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In China, the development of pure electric buses is an essential means to address energy and environmental concerns. Proper evaluation and selection of pure electric buses is a crucial step prior to introducing the buses into actual operation. This paper presents a multi-objective method for the selection of pure electric buses based on road driving tests. An index system for evaluating the operating performance through the fuzzy analytic hierarchy process is established, and to ensure the method is more systematic than those in previous studies, indicators are classified into three categories: qualitative, semi-qualitative and quantitative indicators, of which the nineteen indexes have been comprehensively considered and designed. To verify the advantage of the evaluation method proposed in the article, two typical buses were selected as the assessed objectives regarding reliability, economic, security, environmental adaptability, etc. The assessing process indicates that the method is easily implemented and of high practical value. Additionally, the results show satisfactory agreement with the actual scenario. Thus, it can be assumed that the method detailed herein provides a basis for the design, selection, and evaluation of pure electric buses.

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Risk assessment of supply chain for pharmaceutical excipients with AHP-fuzzy comprehensive evaluation

Cited by 19 publications

References 27 publications

Managing supply chain uncertainty and risk in the pharmaceutical industry

Managing supply chain uncertainty and risk in the pharmaceutical industry

Comprehensive Evaluation System of Occupational Hazard Prevention and Control in Iron and Steel Enterprises Based on A Modified Delphi Technique

Evaluation Method to Select Pure Electric Buses Based on Road Operation Tests

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