Statistical process control (SPC) is an effective method of monitoring a process through the use of control charts. Control charts enable the use of objective criteria for distinguishing background variation from events of significance based on statistical techniques. Much of its power lies in the ability to monitor both process center and its variation about that center, by collecting data from samples at various points within the process. Variations in the process that may affect the quality of the end product or service can be detected and corrected, thus reducing waste as well as the likelihood that problems will be passed on to the customer. With its emphasis on early detection and prevention of problems, SPC has a distinct advantage over quality methods, such as inspection, that apply resources to detecting and correcting problems in the end product or service.
In addition to reducing waste, SPC can lead to a reduction in the time required to produce the product or service from end to end. This is partially due to a diminished likelihood that the final product will have to be reworked, but it may also result from using SPC data to identify bottlenecks, wait times, and other sources of delays within the process. Process cycle time reductions coupled with improvements in yield have made SPC a valuable tool from both a cost reduction and a customer satisfaction standpoint.
Quality assurance, or QA for short, refers to planned and systematic production processes that provide confidence in a product's suitability for its intended purpose. Refer to the definition by Merriam-Webster for further information [1]. It is a set of activities intended to ensure that products (goods and/or services) satisfy customer requirements in a systematic, reliable fashion. QA cannot absolutely guarantee the production of quality products, unfortunately, but makes this more likely.
Two key principles characterise QA: "fit for purpose" (the product should be suitable for the intended purpose) and "right first time" (mistakes should be eliminated). QA includes regulation of the quality of raw materials, assemblies, products and components; services related to production; and management, production and inspection processes.
It is important to realize also that quality is determined by the intended users, clients or customers, not by society in general: it is not the same as 'expensive' or 'high quality'. Even goods with low prices can be considered quality items if they meet a market need.
A supply chain is a system of organizations, people, technology, activities, information and resources involved in moving a product or service from supplier to customer. Supply chain activities transform natural resources, raw materials and components into a finished product that is delivered to the end customer. In sophisticated supply chain systems, used products may re-enter the supply chain at any point where residual value is recyclable. Supply chains link value chains.[1]
A typical supply chain begins with ecological and biological regulation of natural resources, followed by the human extraction of raw material, and includes several production links (e.g., component construction, assembly, and merging) before moving on to several layers of storage facilities of ever-decreasing size and ever more remote geographical locations, and finally reaching the consumer.
Many of the exchanges encountered in the supply chain will therefore be between different companies that will seek to maximize their revenue within their sphere of interest, but may have little or no knowledge or interest in the remaining players in the supply chain. More recently, the loosely coupled, self-organizing network of businesses that cooperates to provide product and service offerings has been called
Ergonomics is the science of designing the job, equipment, and workplace to fit the worker. Proper ergonomic design is necessary to prevent repetitive strain injuries, which can develop over time and can lead to long-term disability.
The International Ergonomics association defines ergonomics as follows.
Ergonomics (or human factors) is the scientific discipline concerned with the understanding of interactions among humans and other elements of a system, and the profession that applies theory, principles, data and methods to design in order to optimize human well-being and overall system performance.
Ergonomics is employed to fulfill the two goals of health and productivity. It is relevant in the design of such things as safe furniture and easy-to-use interfaces to machines.
Industrial engineer is a branch of engineering that concerns with the development, improvement, implementation and evaluation of integrated systems of people, money, knowledge, information, equipment, energy, material and process. It also deals with designing new prototypes to help save money and make the prototype better. Industrial engineering draws upon the principles and methods of engineering analysis and synthesis, as well as mathematical, physical and social sciences together with the principles and methods of engineering analysis and design to specify, predict and evaluate the results to be obtained from such systems. In lean manufacturing systems, Industrial engineers work to eliminate wastes of time, money, materials, energy, and other resources.
Industrial engineering is also known as operations management, management science, systems engineering, or manufacturing engineering; a distinction that seems to depend on the viewpoint or motives of the user. Recruiters or educational establishments use the names to differentiate themselves from others. In healthcare, for example, industrial engineers are more commonly known as management engineers or health systems engineers.
The term "industrial" in industrial engineering can be misleading. While the term originally applied to manufacturing, it has grown to encompass virtually all other industries and services as well. The various topics of concern to industrial engineers include management science, financial engineering, engineering management, supply chain management, process engineering, operations research, systems engineering, ergonomics, value engineering and quality engineering.
Examples of where industrial engineering might be used include designing a new loan system for a bank, streamlining operation and emergency rooms in a hospital, distributing products worldwide (referred to as Supply Chain Management), and shortening lines (or queues) at a bank, hospital, or a theme park. Industrial engineers typically use computer simulation, especially discrete event simulation, for systemUS News and World Report's article on "America's Best Colleges 2010" lists schools offering Undergraduate engineering specialties in Industrial or Manufacturing whose highest degree is a doctorate as Georgia Institute of Technology, University of Michigan, Purdue University, Pennsylvania State University-University Park, University of California at Berkeley, Virginia Tech, Texas A&M University, Stanford University, Northwestern University, Cornell University, Milwaukee School of Engineering and the University of Wisconsin–Madison.[1]
History
Industrial engineering courses had been taught by multiple universities in the late 1800s along Europe, especially in developed countries such as Germany, France, the United Kingdom, and Spain[2]. In the United States, the first department of industrial engineering was established in 1908 as the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at Penn State. In India, the first department was established at the National Institute of Industrial Engineering, Mumbai. Industrial Engineering and Management is provided as an Engineering Course at Under-Graduate level by The Vishweshwariah Technological University or VTU[3], Belgaum, India.
The first doctoral degree in industrial engineering was awarded in the 1930s by Cornell University.
Postgraduate Curriculum
The usual postgraduate degree earned is the Master of Science in Industrial Engineering/Industrial Engineering & Management/Industrial Engineering & Operations Research. The typical MS in IE/IE&M/IE & OR/Management Sciences curriculum includes :
The total number of engineers employed in the U.S. in 2006 was roughly 1.5 million. Of these, 201,000 were industrial engineers (13.3%), the third most popular engineering specialty. The average starting salaries being $55,067 with a bachelor's degree, $64,759 with a master's degree, and $77,364 with a doctorate degree. This places industrial engineering at 7th of 15 among engineering bachelors degrees, 3rd of 10 among masters degrees, and 2nd of 7 among doctorate degrees in average annual salary.[4] The median annual income of industrial engineers in the U.S. workforce is $68,620.
Typically, within a few years after graduation, industrial engineers move to management positions because their work is closely related to management.