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1.\u00a0<\/span>Nghi\u00ean c\u1ee9u m\u00f4 h\u00ecnh ra quy\u1ebft \u0111\u1ecbnh \u0111a ti\u00eau ch\u00ed \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 v\u00e0 l\u1ef1a ch\u1ecdn nh\u00e0 cung c\u1ea5p nguy\u00ean li\u1ec7u cho ng\u00e0nh ch\u1ebf bi\u1ebfn d\u1ea7u th\u1ef1c v\u1eadt<\/span><\/p>\nT\u00e1c gi\u1ea3:\u00a0<\/span>Nguy\u1ec5n V\u0103n Th\u00e0nh\u00a0<\/span>1\u00a0<\/span><\/span>, Nguy\u1ec5n Vi\u1ebft T\u1ecbnh<\/span><\/span>1\u00a0<\/span><\/span>, Nhi\u00eau Nh\u1eadt L\u01b0\u01a1ng<\/span><\/span>1<\/span><\/span><\/span><\/p>\n1<\/span><\/span>\u00a0Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Qu\u1ed1c t\u1ebf H\u1ed3ng B\u00e0ng<\/span><\/p>\nN\u01a1i xu\u1ea5t b\u1ea3n:\u00a0T\u1ea1p ch\u00ed khoa h\u1ecdc H\u1ed3ng B\u00e0ng, Volume 10, 2019, ISSN: 2615-9686<\/span><\/p>\nT\u00f3m t\u1eaft<\/span><\/em>: Th\u1ecb tr\u01b0\u1eddng kinh doanh to\u00e0n c\u1ea7u ng\u00e0y c\u00e0ng kh\u1ed1c li\u1ec7t. \u0110\u1ec3 t\u1ed3n t\u1ea1i v\u00e0 ph\u00e1t tri\u1ec3n, m\u1ed7i \u0111\u01a1n v\u1ecb kinh doanh kh\u00f4ng ng\u1eebng n\u00e2ng cao n\u0103ng l\u1ef1c s\u1ea3n xu\u1ea5t, \u0111\u00e1p \u1ee9ng nhu c\u1ea7u ng\u00e0y c\u00e0ng cao c\u1ee7a kh\u00e1ch h\u00e0ng. Trong b\u1ea5t k\u1ef3 m\u1ed9t chu\u1ed7i cung \u1ee9ng n\u00e0o, l\u1ef1a ch\u1ecdn nh\u00e0 cung c\u1ea5p t\u1ed1i \u01b0u v\u00e0 hi\u1ec7u qu\u1ea3 l\u00e0 m\u1ed9t quy\u1ebft \u0111\u1ecbnh c\u1ef1c k\u1ef3 quan tr\u1ecdng, t\u00e1c \u0111\u1ed9ng v\u00e0 \u1ea3nh h\u01b0\u1edfng tr\u1ef1c ti\u1ebfp \u0111\u1ebfn hi\u1ec7u qu\u1ea3 v\u1eadn h\u00e0nh c\u1ee7a to\u00e0n chu\u1ed7i. Do \u0111\u00f3, nh\u00f3m t\u00e1c gi\u1ea3 \u0111\u00e3 \u0111\u1ec1 xu\u1ea5t m\u00f4 h\u00ecnh ra quy\u1ebft \u0111\u1ecbnh \u0111a ti\u00eau ch\u00ed (Multicriteria Decision Making Model \u00a0– \u00a0MCDM) bao g\u1ed3m m\u00f4 h\u00ecnh ph\u00e2n t\u00edch th\u1ee9 b\u1eadc m\u1edd (Fuzzy Analytic Hierarchy Process \u2013 FAHP) v\u00e0 m\u00f4 h\u00ecnh bao d\u1eef li\u1ec7u (Data Envelopment Analysis) \u0111\u1ec3 \u0111\u00e1nh v\u00e0 l\u1ef1a ch\u1ecdn nh\u00e0 cung c\u1ea5p b\u1ec1n v\u1eefng, \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng t\u1ea1i doanh nghi\u1ec7p s\u1ea3n xu\u1ea5t d\u1ea7u th\u1ef1c v\u1eadt. \u0110\u00f3ng g\u00f3p c\u1ee7a nghi\u00ean c\u1ee9u n\u00e0y l\u00e0 tr\u00ecnh b\u00e0y m\u1ed9t m\u00f4 h\u00ecnh MCDM m\u1edbi v\u00e0 m\u1edf r\u1ed9ng c\u00f3 th\u1ec3 \u00e1p d\u1ee5ng trong ng\u00e0nh c\u00f4ng nghi\u1ec7p th\u1ef1c ph\u1ea9m, ngo\u00e0i ra c\u0169ng c\u00f3 th\u1ec3 \u00e1p d\u1ee5ng r\u1ed9ng r\u00e3i trong nh\u1eefng ng\u00e0nh c\u00f4ng nghi\u1ec7p kh\u00e1c.<\/span><\/p>\nT\u1eeb kh\u00f3a<\/span>: MCDM, FANP, DEA, D\u1ea7u Th\u1ef1c V\u1eadt.<\/span><\/p>\n\n<\/div><\/div><\/div>
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1. The Study of a Multicriteria Decision Making Model for Wave Power Plant Location Selection in Vietnam<\/span><\/span><\/p>\nT\u00e1c gi\u1ea3:<\/span><\/span>\u00a0GS. Chia-Nan Wang, \u0110\u1ea1i h\u1ecdc Qu\u1ed1c gia Cao H\u00f9ng, \u0110\u00e0i Loan.<\/span><\/p>\nTS. Nguy\u1ec5n V\u0103n Th\u00e0nh, B\u1ed9 m\u00f4n Logistics v\u00e0 Qu\u1ea3n l\u00fd Chu\u1ed7i cung \u1ee9ng, \u0110\u1ea1i h\u1ecdc Qu\u1ed1c T\u1ebf H\u1ed3ng B\u00e0ng.<\/span><\/p>\nChih-Chiang Su, \u0110\u1ea1i h\u1ecdc Qu\u1ed1c gia Cao H\u00f9ng, \u0110\u00e0i Loan.<\/span><\/p>\nN\u01a1i xu\u1ea5t b\u1ea3n<\/span><\/span>:\u00a0Processes.\u00a0<\/span><\/em>Volume 7.\u00a0ISBN:<\/span><\/span>\u00a02227-9717.<\/span><\/p>\nT\u00f3m t\u1eaft (Abstract):<\/span><\/span>\u00a0<\/span><\/span>With about a 7% average annual economic growth rate in Vietnam, the demand for electricity production is increasing, and, with more than 3000 km of coastline, the country has great potential for developing wave energy sources to meet such electricity production. This energy source, also known as renewable energy, comes from tides, wind, heat differences, flows, and waves. Both wind and wave energy are considered to have the most potential for energy sources in Vietnam. Just as hydropower projects are controversial due to depleting water resources and regulating floods, nuclear power projects cause safety concerns. To overcome this problem, Vietnamese scientists are considering using abundant wave energy resources for electricity. Nowadays, the ocean energy sector offers many new technologies to help minimize carbon dioxide emissions (CO2) in the living environment. Further, many countries already have wave power plants. In this research, an integrated model, combining the fuzzy analytical network process (FANP) and the technique for order of preference by similarity to ideal solution (TOPSIS), is proposed for wave energy plant location selection. As a result, Con Co (SITE3) is determined the best site for wave energy production. The primary aim of this study is to provide insight into site selection problems for renewable energy investments of Vietnam. The contribution of this research is to propose a fuzzy multiple-criteria decision-making (MCDM) model for site selection in the renewable energy sector. The proposed model also can address different complex problems in location selection; it is also a flexible design model for considering the evaluation criteria; further, it is applicable to site selection of other renewable energies in the world.<\/span><\/p>\nKeywords<\/span><\/span>:<\/span>\u00a0renewable energy; wave energy; fuzzy logics; MCDM; FANP; TOPSIS<\/span><\/em><\/span><\/p>\nNghi\u00ean c\u1ee9u n\u00e0y gi\u1edbi thi\u1ec7u m\u1ed9t ph\u01b0\u01a1ng ph\u00e1p x\u00e1c \u0111\u1ecbnh \u0111\u1ecba \u0111i\u1ec3m \u0111\u1eb7t Nh\u00e0 m\u00e1y \u0111i\u1ec7n n\u0103ng l\u01b0\u1ee3ng s\u00f3ng bi\u1ec3n t\u1ea1i Vi\u1ec7t Nam. M\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u1ec1 xu\u1ea5t s\u1eed d\u1ee5ng ph\u01b0\u01a1ng ph\u00e1p ph\u00e2n t\u00edch m\u1ea1ng FANP v\u00e0 k\u1ef9 thu\u1eadt TOPSIS nh\u1eb1m \u0111\u01b0a ra \u0111\u1ecba \u0111i\u1ec3m t\u1ed1i \u01b0u khi xem x\u00e9t c\u00e1c y\u1ebfu t\u1ed1 \u0111\u1ecbnh t\u00ednh v\u00e0 \u0111\u1ecbnh l\u01b0\u1ee3ng. Sau khi ti\u1ebfn h\u00e0nh ph\u00e2n t\u00edch, m\u00f4 h\u00ecnh cho th\u1ea5y \u0111\u1ecba \u0111i\u1ec3m C\u1ed3n C\u1ecf (SITE3) l\u00e0 \u0111\u1ecba \u0111i\u1ec3m t\u1ed1i \u01b0u.<\/span><\/p>\nT\u1eeb kh\u00f3a:<\/span><\/span>\u00a0N\u0103ng l\u01b0\u1ee3ng t\u00e1i t\u1ea1o; N\u0103ng l\u01b0\u1ee3ng s\u00f3ng bi\u1ec3n; Logic m\u1edd; MCDM; FANP; TOPSIS<\/span><\/em><\/span><\/p>\n2. Fuzzy Multicriteria Decision<\/span><\/span>\u2010<\/span><\/span>Making Model (MCDM) for Raw Materials Supplier Selection in Plastics Industry<\/span><\/span><\/p>\nT\u00e1c gi\u1ea3:<\/span><\/span>\u00a0GS. Chia-Nan Wang, \u0110\u1ea1i h\u1ecdc Qu\u1ed1c gia Cao H\u00f9ng, \u0110\u00e0i Loan.<\/span><\/p>\nTS. Nguy\u1ec5n V\u0103n Th\u00e0nh, B\u1ed9 m\u00f4n Logistics v\u00e0 Qu\u1ea3n l\u00fd Chu\u1ed7i cung \u1ee9ng, \u0110\u1ea1i h\u1ecdc Qu\u1ed1c T\u1ebf H\u1ed3ng B\u00e0ng.<\/span><\/p>\n