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Ahmed Mohammed

Researcher at Cardiff University

Publications -  39
Citations -  970

Ahmed Mohammed is an academic researcher from Cardiff University. The author has contributed to research in topics: Supply chain & Pareto principle. The author has an hindex of 15, co-authored 37 publications receiving 603 citations. Previous affiliations of Ahmed Mohammed include University of Portsmouth & Ministry of Communications.

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A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation

TL;DR: This work aims at putting forward a hybrid Multi Criteria Decision-Making-Fuzzy Multi-Objective Optimization approach for a sustainable supplier selection and order allocation problem by considering economic, environmental and social criteria.
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The fuzzy multi-objective distribution planner for a green meat supply chain

TL;DR: This paper describes a development of a product distribution planner for a three-echelon green meat supply chain (MSC) design in terms of issues including numbers and locations of facilities that should be opened in association with the product quantity flows in a fuzzy multi-objective programming model.
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A hybrid MCDM-fuzzy multi-objective programming approach for a G-resilient supply chain network design

TL;DR: Research findings proved that the developed GR-FMOPM could be used as a tool in evaluating and ranking related facilities with respect to their resilience performance and a trade-off among economic, green and resilience objectives.
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An integrated methodology for a sustainable two-stage supplier selection and order allocation problem

TL;DR: This research presents an integrated methodology to solve a sustainable two-stage supplier selection and order allocation problem for a meat supply chain, considering economic, environmental and social criteria.
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Towards a sustainable assessment of suppliers: an integrated fuzzy TOPSIS-possibilistic multi-objective approach

TL;DR: The development of an integrated fuzzy TOPSIS-possibilistic multi objectives model to solve a two-stage sustainable supplier selection problem and allocate the optimal flow of products quantity that should be ordered from suppliers towards the minimization of expected costs, environmental impact and travel time and maximization of social impact is presented.