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Journal of Systems Science and Systems Engineering 2024年第2期33卷 131-161页

作者： Sujan Piya Department of Industrial Engineering and Engineering Management University of SharjahSharjahUnited Arab Emirates

The supply chain of many industries,including Oil and Gas,was significantly affected by the disruption caused by the Covid ***,in turn,had a knock-on effect on other industries around the *** the impact of the disruption posed a major challenge for the *** study contributes to the existing literature by identifying and analyzing the most significant drivers that affected the sustainability of the Oil and Gas supply chain during the Covid *** drivers were identified based on an extensive literature review and a survey conducted with experts working in the Oil and Gas ***-criteria decision-making methodologies were used to analyze these *** analysis from the fuzzy analytical hierarchy process found that the most important drivers for the sustainability of the Oil and gas supply chain during the pandemic were"Risk management capacity","Government regulation"and"Health and safety of employees".On the other hand,the driver"Community Pressure"was found to be of the least ***,the study integrated the results of the fuzzy analytical hierarchy process with the fuzzy technique for order of preference by similarity to ideal solution to calculate the supply chain sustainability index.A case example was demonstrated to rank the industries based on such *** study can support the governmental institutions in benchmarking the Oil and Gas industry based on its sustainability ***,the outcomes of the study will help industrial decision makers prioritize the drivers the company should focus and devise strategies based on the priority to improve the sustainability of their supply chain during severe *** will be crucial as the World health organization has cautioned that the world may encounter another pandemic in the near future.

关键词： Supply chain sustainability drivers Oil and gas supply chain fuzzy analytical hierarchy process fuzzy technique for order of preference by similarity to ideal solution Covid-19

Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective decision making

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机械工程前沿:英文版 2023年第2期18卷 227-251页

作者： Hongsheng SHENG Jinghua XU Shuyou ZHANG Jianrong TAN Kang WANG Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province Zhejiang UniversityHangzhou 310027China State Key Laboratory of Fluid Power and Mechatronic Systems Hangzhou 310027China Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province Hangzhou 310027China

Selective laser melting(SLM)is a unique additive manufacturing(AM)category that can be used to manufacture mechanical *** has been widely used in aerospace and automotive using metal or alloy *** build orientation is crucial in AM because it affects the as-built part,including its part accuracy,surface roughness,support structure,and build time and cost.A mechanical part is usually composed of multiple surface *** surface features carry the production and design knowledge,which can be utilized in SLM *** study proposes a method to determine the build orientation of multi-feature mechanical parts(MFMPs)in ***,the surface features of an MFMP are recognized and grouped for formulating the particular optimization ***,the estimation models of involved optimization objectives are established,and a set of alternative build orientations(ABOs)is further obtained by many-objective ***,a multi-objective decision making method integrated by the technique for order of preference by similarity to the ideal solution and cosine similarity measure is presented to select an optimal build orientation from those *** weights of the feature groups and considered objectives are achieved by a fuzzy analytical hierarchy *** case studies are reported to validate the proposed method with numerical results,and the effectiveness comparison is *** manufacturing is conducted to prove the performance of the proposed *** measured average sampling surface roughness of the most crucial feature of the bracket in the original orientation and the orientations obtained by the weighted sum model and the proposed method are 15.82,10.84,and 10.62μm,*** numerical and physical validation results demonstrate that the proposed method is desirable to determine the build orientations of MFMPs with competitive results in SLM.

关键词： selective laser melting(SLM) build orientation determination multi-feature mechanical part(MFMP) fuzzy analytical hierarchy process multi-objective decision making(MODM)

Establishment of an indicator framework for global One Health Intrinsic Drivers index based on the grounded theory and fuzzy analytical hierarchy-entropy weight method

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Infectious Diseases of Poverty 2022年第6期11卷 97-98页

作者： Jiaxin Feng Zhaoyu Guo Lin Ai Jingshu Liu Xiaoxi Zhang Chunli Cao Jing Xu Shang Xia Xiao‑Nong Zhou Jin Chen Shizhu Li National Institute of Parasitic Diseases Chinese Center for Disease Control and Prevention(Chinese Center for Tropical Diseases Research)NHC Key Laboratory of Parasite and Vector BiologyWHO Collaborating Centre 不详

Background:One Health has become a global consensus to deal with complex health ***,the pro‑gress of One Health implementation in many countries is still relatively slow,and there is a lack of systematic evalua‑tion *** purpose of this study was to establish an indicator framework for global One Health Intrinsic Drivers index(GOH-IDI)to evaluate human,animal and environmental health development process ***:First,82 studies were deeply analyzed by a grounded theory(GT)method,including open coding,axial coding,and selective coding,to establish a three-level indicator framework,which was composed of three selective codes,19 axial codes,and 79 open ***,through semi-structured interviews with 28 health-related experts,the indicators were further integrated and simplifed according to the inclusion criteria of the ***,the fuzzy analytical hierarchy process combined with the entropy weight method was used to assign weights to the indi‑cators,thus,forming the evaluation indicator framework of human,animal and environmental health development ***:An indicator framework for GOH-IDI was formed consisting of three selective codes,15 axial codes and 61 open *** were six axial codes for“Human Health”,of which“Infectious Diseases”had the highest weight(19.76%)and“Injuries and Violence”had the lowest weight(11.72%).There were four axial codes for“Animal Health”,of which“Animal Epidemic Disease”had the highest weight(39.28%)and“Animal Nutritional Status”had the low‑est weight(11.59%).Five axial codes were set under“Environmental Health”,among which,“Air Quality and Climate Change”had the highest weight(22.63%)and“Hazardous Chemicals”had the lowest weight(17.82%).Conclusions:An indicator framework for GOH-IDI was established in this *** framework were universal,balanced,and scientifc,which hopefully to be a tool for evaluation of the joint development of human,animal and environmental health in diferent reg

关键词： Global One Health Intrinsic drivers index Indicator Grounded theory fuzzy analytical hierarchy process Entropy weight method

Study on the Theory and Method of Real Estate Property Right Appraisal

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Meteorological and Environmental Research 2022年第6期13卷 9-10页

作者： Chenguang YUAN Ziwei WANG Yanhua SONG Yan TIAN Jianbo YANG Institute of Geographical Sciences Henan Academy of SciencesZhengzhou 450052China

This paper first introduces the overview of real estate appraisal theory,the basic situation of real estate appraisal,the basic principles and characteristics of real estate appraisal,and three main appraisal *** this basis,the specific use scope of each method,the meaning of each parameter,and the influencing factors are ***,based on the in-depth study of various existing appraisal theories and methods,a new appraisal method is proposed:the appraisal analysis method based on fuzzy analytic hierarchy process.

关键词： Real estate property right appraisal Market comparison method Cost method Capitalized earnings method fuzzy analytical hierarchy process