Abstract

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.

Highlights

  • Oilseeds are a popular agricultural product and becoming increasingly important to the economy.The general trend in the world today is that the area for growing oilseed crops is constantly expanding, while the area of industrial oil plants is increasingly shrinking

  • The study utilizes a hybrid multicriteria decision-making (MCDM) model, which uses a fuzzy analytic hierarchy process (FAHP) in combination with a GDEA method to calculate the weights of evaluation criteria for a supplier selection procedure based on the opinions of the procurement experts of company

  • The main approach of TOSIS to MCDM problems is that an optimal option will have the shortest geometric distance from the positive ideal solution (PIS) and the longest geometric distance from the negative ideal solution (NIS)

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Summary

Introduction

Oilseeds are a popular agricultural product and becoming increasingly important to the economy. No pollution; Conserving energy and efficient use of natural resources; Economic efficiency; Safe and healthy for workers, community and consumers; and Brings social and creative incentives to all workers In this view, sustainable development is the interaction and interdependence of the three systems, as follows [6]: X. The authors proposed a MCDM model for for N-hexane solvent (C6H14) supplier evaluation and selection for vegetable oil production. All criteria affecting N-hexane solvent (C6H14) supplier evaluation and selection process are defined by experts and literature review. Hybrid fuzzy set theory into the AHP model is a very useful tool for solving complex decision-making problems, with the existence of various qualitative criteria. TOPSIS, a multicriteria decision analysis method, was applied for evaluating and selecting the optimal supplier in the final stage. Discussions and conclusions are displayed at the end of the paper

Literature Reviews
Research Process
Results and Discussions
FAHP Model
Traingular
TOPSIS
Case Study
C11: C12: C13: C21: C22: C23: C24: C31: C32: C33: C34: C41: C42: C43: C44
C4.4: Environmentally friendly technology
Final scorefrom from
Conclusions
Full Text
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