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Prof Mohammed Ali

vidwan id: 57885
Male

Professor, Department of Mechanical Engineering
Aligarh Muslim University

Expertise

  • Mechanical Engineering

Publications

Total Articles 40
Books 0
Proceedings 0

Publications

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Scopus

Citations 490
h-index 13

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Citations 1
h-index 1
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Professional Recognition

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Bio

Industrial Engineering, Manufacturing System, Fms, Cims, Simulation, Scm

Personal Details

  • Male
  • Professor , Aligarh Muslim University
  • Aligarh Muslim University, Aligarh
Ph.D
Indian Institute of Technology Delhi 2007
Professor Nov 2010 – Present
Aligarh Muslim University | Department of Mechanical Engineering

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Co-Authors (5)

Mohammad

Dr Mohammad Asjad

Jamia Millia Islamia

Imtiaz Ali

Prof Imtiaz Ali Khan

Aligarh Muslim University

Pradeep

Dr Pradeep Sow

Birla Institute of Technology and Science

Richa

Dr Richa Singhal

Birla Institute of Technology and Science

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Prof Zahid Akhtar Khan

Jamia Millia Islamia

Scholarly Work

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Scholarly Publications

Improving the performance of cutting fluids by using ZnO and ZrO2 nanoparticles

Open Access
Article
Authors: Naim Shaikh M.B.;Rosenkranz A.;Ali M.;Ahmad S.A.

Multi-agent-based dynamic scheduling of flexible manufacturing systems with routing flexibility

Open Access
Book Chapter

Metrics for Sustainability and Circular Economy Practices in Context to Modern Manufacturing Environment

Open Access
Review

Using inventory related performance measures in the analysis of a production/inventory flexible manufacturing system

Open Access
Article
Authors: Khan R.H.;Ali M.;Farooquie P.;Ullah Khan W.

AGV's effect on the performance of flexible manufacturing system in stochastic environment

Open Access
Article
Authors: Shakeb Ashraf M.;Pal Singh K.;Ullah Khan W.;Ali M.

An MCDM approach for multi-response optimisation of machining parameters in turning of EN8 steel (AISI-1040) for sustainable manufacturing

Open Access
Article

A Novel Framework Based on Integration of Simulation Modelling and MCDM Methods for Solving FMS Scheduling Problems

Open Access
Article

An ANN Model to Predict Select Performance Measures for Job Scheduling System

Open Access
Article