Ashish Yadav
Assembly Line Balancing Optimization Advanced Manufacturing and Logistics Optimization Manufacturing Process and Optimization Coronary Interventions and Diagnostics Quality and Supply Management Smart Systems and Machine Learning Quality Function Deployment in Product Design Humic Substances and Bio-Organic Studies Industrial and Manufacturing Engineering Surgery Management Information Systems Computer Networks and Communications Management of Technology and Innovation Soil Science

Bio

Ashish Yadav is an academic and researcher based in India, affiliated with multiple institutions including Galgotias University, Defence Institute of Advanced Technology, International Management Institute, New Delhi Institute of Management, and others. He has contributed to research in manufacturing, assembly line balancing, and supply chain management, among other areas. He has served as Assistant Professor in Operations and Supply Chain Management and Mechanical departments at different institutions.

Experience

Defence Institute of Advanced Technology

2024 - Present

International Management Institute

2024 - Present

New Delhi Institute of Management

Assistant Professor

2023 - Present • Operations and Supply Chain Management
Show all 13 experience

Editors Role

Reviewer

GJRE

2019 - Present

Affiliations

International Association of Engineers

Life

Member since 0

Soft Computing Research Society

Membership

Member since 0

Society for Reliability Engineering, Quality and Operations Management

Life

Member since 0

Research

A Mathematical Formulation for Mixed Model Two Sided Assembly Line Balancing Problem to Consider Boundary Conditions

Article February 18, 2019

Purpose: The main aim of this paper is to develop a new mathematical model for the mixed model two-sided assembly line balancing problem (MTALBP) generally occurs in plants producing large-sized high-volume products such as buses or trucks. Methodology: In this paper, the proposed mathematical model is applied to solve two-sided mixed-model assembly line balancing problem with lower and upper bound. The proposed mathematical model is solved using a branch and bound algorithm on LINGO 17.0 solver. Findings: Based on the computational result, line efficiency that is obtained by reducing single and mated stations of the assembly line is good as compare to the theoretical minimum number of stations and reduces computational time by applying boundary conditions.