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Neutrosophic Multi-Criteria Decision Making for Sustainable Procurement in Food Business
Faculty
Computer Science
Year:
2023
Type of Publication:
ZU Hosted
Pages:
Authors:
mahmoud mohamed ismail ali
Staff Zu Site
Abstract In Staff Site
Journal:
Neutrosophic Sets and Systems University of New Mexico
Volume:
57
Keywords :
Neutrosophic Multi-Criteria Decision Making , Sustainable Procurement
Abstract:
Purchasing food in a way that minimizes negative effects on the environment, society, and the economy is a growing trend in the food industry. Sustainable procurement is discussed in this study, along with its significance, important criteria, and advantages in the food business. Businesses may aid sustainable development, lessen their impact on the environment, provide aid to local communities, and keep up with shifting consumer expectations for sustainably and ethically produced food when they prioritize responsible sourcing practices. To effectively implementsustainable procurement in the food sector, this article stresses the need for teamwork, openness, and a long-term commitment to sustainability. So, this paper ranks the best supplier in sustainable procurement in the food business to achieve sustainability. The concept of multi-criteria decision making (MCDM) is used in this paper to deal with the various criteria. This paper used the TOPSIS method as an MCDM tool to compute the weights of criteria and rank the suppliers. The TOPSIS method is integrated with the single-valued neutrosophic set to deal with uncertain and vague information. There are seven criteria and 10 suppliers in the food business are evaluated and ranked in this study. We obtained the environmental impacts as the best criteria in seven criteria. The goal of environmental impact prioritizing suppliers and products that minimize negative environmental impact.
Author Related Publications
mahmoud mohamed ismail ali, "A parallel branch and bound algorithm for solving large scale integer programming problems", Natural Sciences Publiching Cor, 2014
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mahmoud mohamed ismail ali, "AN EFFICIENT Hybrid Swarm Intelligence Technique for Solving Integer Programming", International Journal of Computers & Technology, 2013
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mahmoud mohamed ismail ali, "A Hybrid Swarm Intelligence Technique for Solving Integer Multi-objective Problems", international journal of computer applications, 2014
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mahmoud mohamed ismail ali, "An Improved Chaotic Flower Pollination Algorithm for Solving Large Integer Programming Problems", International Journal of Digital Content Technology and its Applications, 2014
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mahmoud mohamed ismail ali, "A Comparison between FPPSO and B&B Algorithm for Solving Integer Programming Problems", International Journal of Computer Applications Technology and Research, 2015
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Department Related Publications
Mohammed Abdel Basset Metwally Attia, "Discrete greedy flower pollination algorithm for spherical traveling salesman problem", Springer, 2019
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Mohammed Abdel Basset Metwally Attia, "A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems", Natural Sciences Publishing Cor., 2014
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Saber Mohamed, "Training and Testing a Self-Adaptive Multi-Operator Evolutionary Algorithm for Constrained Optimization", ELSEVEIR, 2015
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Saber Mohamed, "An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems", IEEE, 2013
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Saber Mohamed, "Differential Evolution with Dynamic Parameters Selection for Optimization Problems", IEEE, 2014
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