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The PIC Cast Members
Published in H. James Harrington, Sid Ahmed Benraouane, Managing Innovative Projects and Programs, 2023
H. James Harrington, Sid Ahmed Benraouane
The manufacturing engineering department is responsible for developing the processes, workflow, assembly procedures, test procedures, equipment requirements, supplier qualification, etc. that have an impact on the ability to take the engineering design documentation and produce a high-volume product that meets or exceeds the engineering spec performance requirements. Manufacturing engineering usually entails activity dealing with issues of cost, producibility, quality, performance, reliability, serviceability, intended lifespan, and user features. These product characteristics are generally all sought in the attempt to make the resulting product attractive to its intended market and a successful contributor to the business of the organization that intends to offer the product to that market.
The Engineering Design Process
Published in Keith L. Richards, The Engineering Design Primer, 2020
This is a specialised area of manufacturing engineering which comprises the analysis, planning, design, construction and application of tools, and methods and procedures necessary to improve manufacturing productivity. An example would be the design of ‘pre-set’ tooling for use on a Multi-Axis Machining Centre.
Editorial Board contributions celebrating the 60th Anniversary of IJPR: Part 3
Published in International Journal of Production Research, 2022
IJPR is one of oldest elite journals on manufacturing engineering, industrial engineering, operations research and management science. IJPR publishes around 400 papers in 24 issues (two issues per month) with more than 1.4 million downloads per year and is read in 200 countries. The current impact factor of IJPR (IF 2021) is: 9.018 (2021), positioning the journal in Q1 in all its disciplines. The average time from submission to first post-review decision is 65 days, and from acceptance to online publication is 21 days (see all the journal metrics on the web site of IJPR).
The interpretive model of manufacturing: a theoretical framework and research agenda for machine learning in manufacturing
Published in International Journal of Production Research, 2021
Ajit Sharma, Zhibo Zhang, Rahul Rai
Figure 8(a) reveals that some of the main fields include Electrical and electronics engineering, ML, Computer Science, Manufacturing engineering, Information systems, Automation control systems, Operations research, Mechanical engineering, and, multi-disciplinary engineering. Figure 8(b) illustrates that some of the main research areas include engineering, computer science, automation control systems, operations research, material science, telecommunications, business, economics, other technology topics, instrumentation, physics, and robotics.
Fuzzy integrated QFD, FMEA framework for the selection of lean tools in a manufacturing organisation
Published in Production Planning & Control, 2018
M. Bhuvanesh Kumar, R. Parameshwaran
M. Bhuvanesh Kumar received his bachelor’s degree in Mechanical Engineering during 2006 and received his Master’s degree in Manufacturing Engineering during 2009 from Anna University. He received his Master of Business Administration degree from Sikkim Manipal University in 2013. He is currently an assistant professor at Kongu Engineering College, Erode, India. His teaching and research areas are Manufacturing Technology and Management and Lean Manufacturing Systems.