Thursday, 16 August 2012

Research paper on IE


NATIONAL INSTITUTE OF INDUSTRIAL ENGINEERING

PGDIE-42

INDUSTRIAL ENGINEERING ASSIGNMENT



IE Assignment submitted by:
Venkata Karthik Menti
Roll No: 102

            The Industrial Engineer as Organizational Leader:
    An Assessment of Contemporary Industrial Engineering Skills

                                                        David H. Olszewski
                                             General Dynamics Land Systems
                                                             Ft. Hood, TX

                                                       James C. McHann, PhD
                                                             Walsh College
                                                                 Troy, MI

1. Introduction

The transformation of Industrial Engineers into techno-managers is in part due to their special skills, which give them unique insights into the kind of leadership and management needed in organizations today. This shift provided the opportunity for industrial engineers to acquire new skills that took them off the shop-floor and propelled them into the boardroom.
While industrial engineers are certainly still vital to manufacturing operations, the macro changes in the nature of the economic environment, along with the corollary and necessary changes in how organizations must be led and managed in this new economic environment, has created the need and the opportunity for the industrial engineering profession to evolve.
The lead author of this article is engaged in a doctoral dissertation study of contemporary industrial engineers to determine which skills are seen as having greater value in today’s Knowledge Age. A quantitative analysis utilizing an electronic survey and the Analytic Hierarchy Process pairwise comparison technique will establish priority between technical and managerial industrial engineering skills. Once data is collected, statistical analysis in the form of ranking and hypothesis testing can be used to determine significance and skill mix. This paper serves as a brief look into the history and shift in the role of an industrial engineer and serves as a basis for further study.
2. Characteristics of the Industrial and Knowledge Ages

After millennia of agrarian-based society, the Industrial Revolution began in Great Britain in the later part of the 18th century. Even during the Industrial Age, the transfer of knowledge was very important, and knowledge concerning new innovation spread by several means. Workers who were trained in a specific skill often moved to new employers or were tempted to new organizations.

Toward the end of the Industrial Age, Frederick Taylor, one of the world’s first management consultants and an engineer, identified two primary problems of production. These problems included lack of standardization in all areas and poor management practices. Scientific management is characterized by a search for efficiency and systemic management thought. During his time in management, Taylor introduced the concept of the time study—“one of the key techniques of scientific management”. As a result of his work, academia incorporated scientific management into the curriculum of several major business schools, including Wharton, Dartmouth, and Harvard.

Even as the era of the machine, the factory, and the efficient production practices of scientific management continued to dominate the organizations of the Industrial Age, the knowledge portion of the work also continued to increase. At some point in the mid-1900s, the importance, power, value creation, and wealth production of knowledge and other intangible assets increased beyond that provided by financial capital, machines, and other tangible assets:  the Knowledge Age was born

In the Knowledge Age, knowledge becomes “the preeminent economic resource—more important than raw material; more important, often, than money”. “Knowledge has become the primary ingredient of what we make, do, buy, and sell.

This change in organizational focus has required a corresponding change in the way organizations are managed. Knowledge production by knowledge workers is not managed quite like widget production by machines is managed. For example, the philosophy of the biological sciences dominates the management approaches that work best in the Knowledge Age. This philosophy views knowledge, people, and organizations as living systems.

3. The Difference between the Industrial and Knowledge Ages

There are many important differences between the economic dynamics, and effective management approaches, of the Industrial Age and the Knowledge Age. The living system of the Knowledge Age has begun a major shift away from Industrial Age thinking.

Beyond shifts in focus, there are shifts in management styles. During the Industrial Age, “the work of every workman is fully planned out by management at least one day in advance, and each man receives in most cases complete written instructions, describing in detail the task which he is to accomplish, as well as the means to be used in doing the work”

During the Knowledge Age, the focus of operations has turned to the whole rather than the parts. “Managers now must supervise many people. They must manage across functions and they must be agents of change, champions of the latest re-engineering or reorganization, even if they have had nothing to do with creation of the plan or disagree with it”

Beyond working as a whole, the Knowledge Age differs from the Industrial Age in the area of autonomy. There was little to no empowerment during the Industrial Age. In fact, “the empowerment movement is an effort to break the enduring shackles of Frederick Taylor’s scientific management”.

The treatment of the worker during the Knowledge Age is revolutionary. Workers are human capital and owners of knowledge “who need control over learning processes and participation in the creation and communication of wisdom”. Some Industrial Age organizations cannot make the transition and die, and their death only draws further attention to the importance of intellectual capital, knowledge workers, and the critical need to learn how to lead and manage them effectively.

4. Different Leadership and Management Approaches for Different Economic Ages

4.1 Old and New Leadership Competencies

The competencies needed to excel in the industrial and knowledge ages differ in emphases. The “leadership philosophy begun by Deming in Tokyo in 1950 is the first fundamentally new management philosophy since 1840”, and Deming’s approach to leading and managing organizations laid important foundations for the new management in the new age.

In order to survive in the old organization, one needed several attitudes or competencies. First, part of a manager’s responsibility was to control the workforce. Forcefulness was seen as necessary to getting people to respond. Next, on the softer side of forcefulness, managers were expected to serve as the motivators to the workers. From here, the competencies of decisiveness, wilfulness, and assertiveness played important roles in Industrial Age management approaches. Leaders in this time could not show weakness, ignorance, or indecision. Another competency of this time was the result and bottom line focus of the organization. Bosses held people accountable for maximizing profits and minimizing costs. Managers also kept everyone task-oriented.

The new competencies important to management in the Knowledge Age are different. They are based on very different premises, assumptions, and beliefs about people and organizations. The new competencies are covered generally in W.E. Deming’s System of Profound Knowledge. The first competency is the ability to think in terms of systems and knowing how to lead systems. By thinking on the systems level, the organization is able to avoid overly simplistic interpretations and solutions to complex problems. In addition, the ability to understand the variability of work in planning and problem solving is very important in the Knowledge Age; an accurate understanding of data is required to successfully run the knowledge organization. Next, there is a new focus on understanding people, our behaviour and how we learn, develop, and improve. It is clear that people are no longer motivated through a combination of promised reward and threat of punishment.

4.2 The Growth of Industrial Engineering

Industrial engineering found its roots in the scientific management movement, which paved the way for the Knowledge Age. Following his development of time studies, Frederick Taylor provided the major thrust for “an era characterized by a search for efficiency and systematization in management thought”. During the latter half of the nineteenth century, the final stage of the Industrial Age focused on technological advances, changing power sources, evolving labour-management relations, and a need to bring these factors together with some sort of management practice

Devoid of training in management, Taylor relied on his own observations as to how things should be done. He brought his experience on the worker side of things into his management roles. He understood ineffective incentives and estimated worker output at only one-third of what he thought was possible. Taylor sought to overcome output deficiencies by careful investigation and the setting of performance standards. Taylor determined what workers should be able to do with the equipment and materials, and this became the beginning of scientific management.

After Taylor’s death, Henry Gantt began to develop different ideas on the role of the industrial engineer and the firm as an institution. Gantt moved past concern for simple factory matters and sought reform at all levels. According to Gantt, “the industrial engineer, not the financier nor the labour leader, would be the new leader, because only the engineer could cope with the US problem of production as the creation of wealth”.

The works of Taylor, Gantt, and the Gilbreths formed the foundation of the industrial engineer’s traditional role. However, the contributors also alluded to much more. They all recognized the importance of the human factor. Additionally, they recommended that the industrial engineers assume their rightful place in management where the human contributions to the workforce could find a voice and actively contribute to organizational efficiency. The introduction of scientific management altered the path of the Industrial Revolution and the Industrial Age.

5. The Effect of the Knowledge Age on Industrial Engineering Skills

During the Industrial Age and the era of scientific management, industrial engineers proved that they “are talented at cutting costs, producing efficiencies, and improving productivity” [18]. By aptitude, training, and experience, industrial engineers are adept at systems thinking, at how to generate knowledge within organization, and at how to use knowledge effectively and practically to improve continuously the performance of any organization.

The creation and sharing of knowledge, and skills in leading and managing people, are required of effective managers in the Knowledge Age. The attributes associated with engineering success in this age include creativity, communication, basic business and management skills, leadership aptitudes, professionalism, and life-long learning.
The technical skills an industrial engineer acquires through an engineering education and on-the-job means are necessary and fundamental. These skills are numerous and include ergonomics, time studies, simulation, project management, material handling, and general problem-solving. While these skills serve industrial engineers quite well, they do little to propel them into general management positions or into the boardroom.

Today, more and more industrial engineers are acquiring management skills in order to take advantage of expanded opportunities being afforded them in the Knowledge Age. These skills include communication, collaboration, strategic thinking, negotiation, and many others. The leadership and management required in the Knowledge Age requires just the type of technical, systemic, operational, and organizational skills industrial engineers have traditionally mastered and the managerial skills they are acquiring today.

At the academic level, curricula can be altered to include teaching in the critical managerial area in addition to the standard technical skills. At the organizational level, industrial engineers can focus on acquiring critical managerial skills. Additionally, the organization can recognize the value of having industrial engineers in positions of leadership. Industrial engineers can provide valuable insight into the organization and can help the organization succeed in the ever-changing Knowledge Age.

6. Conclusion

Overall, a shift in emphasis is occurring in industrial engineering skills from the traditional technical skills to more managerial skills. This shift is due in large part to the transition from the Industrial Age to the Knowledge Age. This article adumbrates a quantitative research study for a doctoral dissertation, which will show that this transition has and is occurring.

Today, industrial engineers are making a very successful transition to the management side of the organization. Their technical skills provide a firm foundation upon which managerial skills are quickly being built. This article summarizes a research study on the mix of these skills, which anticipates that the industrial engineers of the future can more clearly focus their efforts on leading organizations as they add managerial skills to their technical skills.


Title
The Industrial Engineer as Organizational Leader:
An Assessment of Contemporary Industrial Engineering Skills
Author
Publication title
Proceedings of the 2010 Industrial Engineering Research Conference
A. Johnson and J. Miller, Eds.

Document URL
http://search.proquest.com/docview/733014297?accountid=49672
Copyright
Copyright Institute of Industrial Engineers-Publisher 2010
Last updated
2011-06-03
Database
ABI/INFORM Complete

Monday, 13 August 2012

Transformer Design and IE applications




NATIONAL INSTITUTE OF INDUSTRIAL ENGINEERING

PGDIE-42


IE Assignment submitted by:
Venkata Karthik Menti
Roll No: 102


The state of the art in engineering methods for
transformer design and optimization: A survey


AUTHORS:
ELEFTHERIOS I. AMOIRALIS
, MARINA A. TSILI, PAVLOS S. GEORGILAKIS

Department of Production Engineering & Management, Technical University of Crete, GR-73100, Chania, Greece
Faculty of Electrical & Computer Engineering, National Technical University of Athens, GR-15780, Athens, Greece

1. INTRODUCTION: 

Transformer design is a complex task in which engineers have to ensure that compatibility with the imposed specifications is met, while keeping manufacturing costs low.

This paper provides an overview of research, development and application of various computational methods for transformer design, based on an extensive number of published papers.

The paper is organized as follows:
Section 1 gives us the introduction to the paper.
Section 2 describes the various transformer types & main considerations during transformer design process.
Section 3 includes the survey overview of research dedicated to transformer characteristics.
Section 4 provides an overview of the research conducted on transformer design optimization.
Section 5 concludes the paper.

2. TRANSFORMER DESIGN:

A transformer is a device with two or more stationary electrical circuits that are conductively disjointed but magnetically coupled time varying magnetic field and is used for transferring power one circuit to another by means of electromagnetic induction at the same frequency.

Transformers are one of the primary components for the transmission and distribution of electrical energy.
Their design results mainly from the range of application, the construction, the rated power and the voltage level.

2.1  Transformer Types:
      
Transformers are broadly classified on the basis of two parameters namely:

  1. Power and voltage ratings:
  • Distribution Transformers( Low ratings)
  • Power Transformers( High ratings)
     2.   Cooling method:
  • Oil-immersed Transformers
  • Dry-type Transformers
In addition there are special purpose transformers such as converter transformers, test transformers, instrument transformers or telecommunications transformers

2.2  Transformer design considerations

Transformer design must take into account numerous performance parameters and technical constraints. The research in the relevant literature may deal with each one of these parameters separately, or concern the overall transformer optimization. Fig. 1 presents the main categories of the literature survey, which define the structure of the survey overview presented in the next Sections.



3. RESEARCH DEDICATED TO SPECIFIC TRANSFORMER CHARACTERISTICS:

The numerous computational methods and engineering models proposed for transformer analysis and the accurate prediction of their characteristics can be roughly categorized into four main groups: 

1.       Numerical techniques that consist some of the most widely used tools for transformer simulation. Among the proposed techniques of this group, the Finite Element Method (FEM) is the most prevalent one.
2.       Stochastic methods including Artificial Intelligence (AI) techniques, such as Genetic Algorithms (GAs), which have seen increased usage in the transformer design area over the last few years. 
3.       Improved versions of the transformer equivalent circuit, in order to include semi-empirical descriptions of the core and winding characteristics that affect the accuracy of calculations.
4.       Experimental methods, combining data provided by measurements with analytic or other methods, in order to provide efficient models for the accurate representation of certain transformer characteristics.


3.1 No-load losses:

No-load losses are the continuous losses of a transformer, regardless of load, namely they exist whenever the unit is energized. No-load losses are also called iron or core losses because they are mainly a function of the core materials. The two main components of no-load losses are eddy currents loss and hysteresis loss. 

3.2 Load losses:

Load losses result from load currents flowing through the transformer. Load losses are also called copper or wire or winding losses. The two components of the load losses are the I2R losses and the stray losses. I2R losses are based on the measured DC resistance. The stray losses are a term given to the accumulation of the additional losses experienced by the transformer.

3.3 Leakage field and short circuit impedance:

The calculation of transformer leakage flux is a prerequisite to the calculation of reactance, short-circuit impedance, short-circuit forces and eddy current losses.
Stochastic methods are also employed for solving problems of this category like an exact equivalent circuit model for the estimation of all impedance parameters of three winding transformers, with the use of GA.

3.4 Inrush Current

Transformer inrush currents are high-magnitude, harmonic-rich currents generated when transformer cores are driven into saturation during energization. These currents have undesirable effects, including potential damage or loss-of-life to the transformer, protective relay mis-operation, and reduced power quality on the system.

3.5 Stresses and dynamic behavior under short circuits

The short-circuit current in a transformer creates enormous forces on the turns of the windings.
The forces on the windings due to the short-circuit current vary as the square of the current. These mechanical and thermal stresses on the windings must be taken into consideration during the design of the transformer.

3.6 Transformer Noise

Transformers located near a residential area should have sound level as low as possible. The design and the manufacture of a transformer with low sound level require in-depth analysis of noise sources. Core, windings and cooling equipment are three main factors of noise which much concentrated upon during the design of the transformers.

3.7 Transformer Insulation

The insulation of a transformer is linked to its ability to withstand surge phenomena and over-voltages likely to occur during its operation. For this purpose, the related work may deal with the analysis of such phenomena, so as to design an adequate transformer insulation system. Other factors that affect transformer insulation life are vibration or mechanical stress, repetitive expansion and contraction, exposure to moisture and other contaminants.

3.8 Transformer Cooling

Transformer cooling is one of the most important parameters governing a transformer’s life expectancy. The total temperature is the sum of the ambient and the temperature rise. The temperature rise in a transformer is intrinsic to that transformer at a fixed load. The design of the cooling system is based on the hot-spot temperature value, and different methods for its prediction are proposed in the literature, along with the overall temperature distribution prediction, according to the transformer cooling method. 

3.9 Transformer DC Bias

Direct Current can flow in Alternating Current power lines if a DC potential difference exists between the various grounding points. Such a difference can be caused by a geomagnetic storm or the injection of DC current by one of the ground electrodes of a DC link. Direct current flowing through the earthed neutrals of transformer winding causes a DC component in the magnetising current. Owing to non-linearity, the waveform of this current is strongly distorted. The prediction and impact of this phenomenon has been studied with finite element method and equivalent magnetic circuits. 

3.10 Transformer Monitoring and Diagnostics

Despite the fact that monitoring and diagnostics are not part of the transformer design process, they are relevant to the main design considerations. As discussed earlier they constitute numerous computational methods and engineering models proposed for transformer analysis and the accurate prediction of their characteristics

4. TRANSFORMER DESIGN OPTIMIZATION

The difficulty in achieving the optimum balance between the transformer cost and performance is a complicated task, and the techniques that are employed for its solution must be able to deal with the design considerations of Section 3, so as to provide a design optimum, while remaining cost-effective and flexible. The research associated with design optimization is therefore more restricted involving different mathematical optimization methods. 

Techniques that include mathematical   models employing analytical formulas, based on design constants and approximations for the calculation of the transformer parameters are often the base of the design process adopted by transformer manufacturers. Neural network techniques are also employed as a means of design. Deterministic methods may also provide robust solutions to the transformer design optimization problem. The overall manufacturing cost minimization is scarcely addressed in the technical literature, and the main approaches deal with the cost minimization of various components.

Apart from the transformer manufacturing cost, another criterion used for transformer evaluation and optimization is the Total Owing Cost (TOC) taking into account the cost of purchase as well as the cost of energy losses throughout the transformer lifetime. Another aspect of transformer design optimization consists in providing design solutions in order to maintain certain aspects of transformer performance within the limits imposed by the technical specifications. 

5. CONCLUSION

In the present paper, an overview of the literature concerning transformer design has been undertaken, focusing on the progress realized in the past two decades.
Relevant publications from international journals have been selected, covering a broad range of engineering methods and design considerations. The difficulties to include and categorize the majority of the research in such a vast field were overcome by a convenient survey structure, taking into account various design considerations. This survey provides important information on the main directions of the considered research and the future trends in the field of transformer design.


Source:JOURNAL OF OPTO-ELECTRONICS AND ADVANCED MATERIALS
 Vol. 10, No. 5, May 2008, p. 1149 - 1158