Dr. Dalgobind Mahto
PRODUCTION AND INDUSTRIAL ENGINEERING Productivity Improvement, Lean Manufacturing, Optimization Techniques, Operations Management Educational Management & Growth, Production and Industrial Engineering I Manufacturing Technology Artificial Intelligence, Machine Learning, Data Analysis, Research methodology, Project Management, Industrial Consultancy Assembly Line Balancing Optimization Assembly line Manufacturing Process and Optimization Operations Management Techniques Management and Optimization Techniques Advanced Statistical Process Monitoring Advanced Manufacturing and Logistics Optimization Fault Detection and Control Systems Ergonomics and Human Factors Human factors and ergonomics Waste heat recovery unit Recycling and Waste Management Techniques Industrial and production engineering Diverse Industrial Engineering Technologies Production line Statistical process control Management Systems and Quality Improvement Design for Six Sigma Physics and Engineering Research Articles Waste heat Industrial engineering Biomedical Engineering Computational Mechanics Control and Systems Engineering Industrial and Manufacturing Engineering Management Science and Operations Research Mechanical Engineering Statistics, Probability and Uncertainty Strategy and Management

Educational Journey

National Institute of Technology Jamshedpur

PhD • Engineering

2010

National Institute of Technology Jamshedpur

MTech • Mechanical Engineering

2003

Experience

Jaipur Engineering College Kukas

Director

2019 - Present

Jaipur Institute of Engineering and Technology

Director

2013 - 2019

Green Hills Engineering College

Professor & Dean (R&D)

2008 - 2013 • Mechanical Engineering
Show all 5 experience

Editors Role

Reviewer

IJPR

0 - Present

Reviewer

IJPQM

2014 - Present

Reviewer

IJISE

0 - Present
Show all 13 roles

Affiliations

IAENG Society of Operations Research

Member

Member since 0

Data Visualization Society

Member

Member since 2022

International Association for Online Engineering

Affiliate Member

Member since 2020
Show all 25 affiliations

Research

An Empirical Investigation Of Assembly Line Balancing Techniques And Optimized Implementation Approach For Efficiency Improvements

Article June 9, 2012

The concept of mass production essentially involves the assembly of identical or interchangeable parts of components into the final product at different stages and workstations. The relative advantages and disadvantages of mass or flow production are a matter of concern for any mass production industry. How to design an assembly line starting from the work breakdown structure to the final grouping of tasks at work stations has been discussed in this paper using two commonly used procedures namely the Kilbridge-Wester Heuristic approach and the Helgeson-Birnie Approach. Line Balancing (LB) is a classic, well-researched Operations Research (OR) optimization problem of significant industrial importance. The specific objectives of this paper is to optimize crew size, system utilization, the probability of jobs being completed within a certain time frame and system design costs. These objectives are addressed simultaneously, and the results obtained are compared with those of single-objective approaches.