Neutrosophic Multi-Criteria Decision Making for Sustainable Procurement in Food Business

Faculty Computer Science Year: 2023
Type of Publication: ZU Hosted Pages:
Authors:
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 More
  • mahmoud mohamed ismail ali, "AN EFFICIENT Hybrid Swarm Intelligence Technique for Solving Integer Programming", International Journal of Computers & Technology, 2013 More
  • mahmoud mohamed ismail ali, "A Hybrid Swarm Intelligence Technique for Solving Integer Multi-objective Problems", international journal of computer applications, 2014 More
  • 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 More
  • 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 More

Department Related Publications

  • Saber Mohamed, "Online Generation of Trajectories for Autonomous Vehicles using a Multi-Agent System", IEEE, 2014 More
  • Saber Mohamed, "Parameters Adaptation in Differential Evolution", IEEE, 2012 More
  • Eman samir hasan sayed, "Using Hybrid Dependency Identification with a Memetic Algorithm for Large Scale Optimization Problems", Springer Berlin Heidelberg, 2012 More
  • Eman samir hasan sayed, "A Decomposition-based Algorithm for Dynamic Economic Dispatch Problems", IEEE, 2014 More
  • Eman samir hasan sayed, "Decomposition-based evolutionary algorithm for large scale constrained problems", Elsevier Inc, 2014 More
Tweet