Next Article in Journal
Oscillatory Properties of Solutions of Even-Order Differential Equations
Next Article in Special Issue
Probabilistic Hybrid Linguistic Approaches for Multiple Attribute Group Decision Making with Decision Hesitancy and the Prioritization of Attribute Relationships
Previous Article in Journal
Sequential Recommendations on Board-Game Platforms
Previous Article in Special Issue
A Consensus Measure of Expert Judgment in the Fuzzy TOPSIS Method
Open AccessArticle

A Hybrid Fuzzy Analytic Hierarchy Process and the Technique for Order of Preference by Similarity to Ideal Solution Supplier Evaluation and Selection in the Food Processing Industry

1
Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
2
Department of Logistics and Supply Chain Management, Hong Bang International University, Ho Chi Minh 72320, Vietnam
*
Authors to whom correspondence should be addressed.
Symmetry 2020, 12(2), 211; https://doi.org/10.3390/sym12020211
Received: 20 December 2019 / Revised: 21 January 2020 / Accepted: 22 January 2020 / Published: 2 February 2020
Selecting suppliers plays an important role in improving efficiency of supply chains. In the field of extraction of vegetable oil, one of the main submaterials is hexane solvent. Choosing a supplier of hexane solvent is a multicriteria decision-making task that decision-makers must have an understanding of the quantitative and qualitative elements for assessing the symmetrical impact of the criteria to reach the most accurate result. In this paper, the authors suggest a multicriteria decision-making (MCDM) model for N-hexane solvent (C6H14) supplier evaluation and selection for vegetable oil production. All criteria affecting to the hexane solvent supplier evaluation and selection process are defined by experts. Then, a fuzzy analytic hierarchy process (FAHP) multicriteria comparative analysis method has been applied for determining the weight of all criteria. Finally, the technique for order of preference by similarity to ideal solution (TOPSIS) was applied to select the optimal hexane solvent supplier. As a result, decision making unit 003 (DMU3) is the optimal supplier. The contribution of this research is to propose an MCDM model for hexane solvent supplier selection in the food industry. The work also proposed a useful guideline for supplier evaluation and selection processes in other industries.
Keywords: fuzzy theory; fuzzy analytic hierarchy process; food industry; supplier selection; sustainability; multicriteria decision-making fuzzy theory; fuzzy analytic hierarchy process; food industry; supplier selection; sustainability; multicriteria decision-making
MDPI and ACS Style

Wang, C.-N.; Tsai, H.-T.; Nguyen, V.T.; Nguyen, V.T.; Huang, Y.-F. A Hybrid Fuzzy Analytic Hierarchy Process and the Technique for Order of Preference by Similarity to Ideal Solution Supplier Evaluation and Selection in the Food Processing Industry. Symmetry 2020, 12, 211.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop