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Engineer ineering ing and d Natur tural al Sc Science ience Fa Faculty culty IND NDUS USTRIA TRIAL EN ENGI GINE NEERING ERING DE DEPAR ARTM TMEN ENT PR PRESE SENTATI TION ON AUGUST 2018 ANKA KARA What is I s Indu


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Engineer ineering ing and d Natur tural al Sc Science ience Fa Faculty culty

IND NDUS USTRIA TRIAL EN ENGI GINE NEERING ERING DE DEPAR ARTM TMEN ENT

PR PRESE SENTATI TION ON

AUGUST 2018 ANKA KARA

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  • Industrial Engineering;

➔ Technic and technological advances in ability of ; ✓ Learning ✓ Utilizing, ✓ Improving, ➔Simple and complex systems within specific cost and time constraints; ✓ Design, ✓ Production ✓ Control makes and constantly improves the quality of life.

What is I s Indu dust strial rial Engineering? neering?

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  • Industrial Engineering deals with;
  • Human
  • Machine
  • Information
  • Hardware
  • Energy

as well as the design, construction,

  • peration

and improvement of integrated systems, which are concerned with their quality, productivity and ethical problems.

What is I s Indu dust strial rial Engineering? neering?

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  • In Industrial Engineering;

– Production and Inventory Planning, – Service Planning, – Operations Management, – Project Management – Production System and Facility Planning, – System Engineering, – Ergonomics and Work Methods, – Economy & Finance – Logistics and Supply Chain Management, – Statistics and Data Analysis, – Simulation and Network Theory, – Quality and – Maintainance… There are many underground workshops.

  • Large-scale and comprehensive problems encountered in all

these areas can be solved within certain constraints and targets.

What t Does t s the Indu dust strial rial Engineer neer Do?

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  • Prof. Dr. Mete Gündoğan

Industri trial al Engineerin eering g Head of Departm tment nt Resea earch rch Area Area: Systems Engineering, Industrial Systems Analysis and Design, Quality Assurance and Management, Maintenance and Repair Management, Project Management and Turnkey Project Implementation, Financial Engineering. Ph.D : Cranfield University M.S Cranfield University UNDG: UNDG: Dokuz Eylül Üniversitesi

Aca cade demic mic Me Members rs

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  • Prof. Dr. Ergün Eraslan

Resea earch rch Area Area: Work Study, Time Study, Business Analysis, Ergonomics, Usability, Job Evaluation, Remuneration, Performance Evaluation, Multiple Criteria Decision Making, Production and Stock Systems, Occupational Health and Safety. Ph.D. . : Gazi Üniversitesi M.S: Gazi Üniversitesi UND.: UND.: Gazi Üniversitesi

Aca cade demic mic Me Members rs

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Assist

  • ist. Prof. Dr. Alper Şeker

Research Area: Optimization Algorithms, Linear Programming Ph.D.

  • D. : Gazi Üniversitesi

M.S.: S.: Purdue University UNDG. G.: Purdue University

Aca cade demic mic Me Members rs

Assoc Assoc. . Prof. . Dr. Babek Erdebil billi li

Research Area: Performance Measurement and Application, Multi Criteria Decision Making, Fuzzy Logic Ph.D D : Gazi Üniversitesi M.S: S: Gazi Üniversitesi UNDG. G.: Ş. Tahran University

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  • Asist. Prof. Dr. Abdullah Yıldızbaşı

Research Area: Operations Research, Supply Chain Management, Green Production, Green Supply Chain Management, Reverse Logistics, Lean Manufacturing, Six Sigma, Business Process Development, Sustainability, Project Management, Engineering Economics, Emotional Intelligence Management Ph.D. D.: Osmangazi Üniversitesi M.S.: S.: Syracuse University UNDG. G.: Selçuk Üniversitesi

Aca cade demic mic Me Members rs

Asist.

  • ist. Prof
  • f. Dr. İbrahim Yılmaz

Research arch Area : Shared Networks, System

Optimization, Distributed Decision Making Ph

  • Ph. D.: State University of New York

M.S: S: Gazi Üniversitesi UNDG: G: Gazi Üniversitesi

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  • Assist. Prof. Dr. Gerçek Budak

Research arch Area: Multi-Criteria Decision Making, Operations Research, Production Systems Engineering, Management and Optimization in Service Sectors. Ph.D. : Başkent Üniversitesi M.S: University of Warwick UNDG DG.: Başkent Üniversitesi

Aca cade demic mic Me Members rs

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Res Res. . Assist

  • st. Cihat Öztürk

Research Area: Inventory Theory, Production Management, Heuristic Optimization PH.D.

  • D. : Marmara Üniversitesi

M.S: S: Kocaeli Üniversitesi UNDG. G.: Yıldız Teknik Üniversitesi

Aca cade demic mic Me Members rs

Res Res. . Assist st. . Dr. Deniz iz Efendioğlu

Research Area: Chemical Optimization Techniques, Experiment Design, Simulation PH.D.

  • D. : Marmara Üniversitesi

M.S: S: İstanbul Üniversitesi UNDG: G: İstanbul Üniversitesi (Endüstri Mühendisliği ve Kimya Mühendisliği ‘Ç.A.P’)

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Res Res. . Assist st. . Billu lur Ecer

Research Area: Multi-criteria decision making, Optimization, Fuzzy Logic PH.D. D.: Gazi Üniversitesi M.S: S: Gazi Üniversitesi UNDG. G.: Gazi Üniversitesi (Endüstri Mühendisliği ve Elektrik-Elektronik Mühendisliği ‘Ç.A.P’)

Aca cade demic mic Me Members rs

Res Res. . Assist

  • st. Nurullah Güleç

Research Area: Intuitive Optimization, Data Mining, Machine Learning, Monetary Policy Tools and Optimization PH.D. D.: İTÜ M.S. S.: ODTÜ UNDG. G.: İstanbul Üniversitesi Endüstri Müh. ve Anadolu Üniversitesi İşletme Bölümü

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Res Res. . Assist st Melda Kevser Akgün

Research Area: Ergonomics, Work Study, Stochastic Processes PH.D.: .: YBU M.S. S.: ODTÜ UNDG. G.: Gazi Üniversitesi

Aca cade demic mic Me Members rs

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  • Our academic staff is constantly growing within the framework of
  • ur fields of study.
  • With our successful and experienced teachers in the field, open to

current developments and self-refreshing attitude of our faculty members will act as your biggest supporter.

  • Our research assistants will try to help you during the course, but

they will give you their experiences in practical courses.

Aca cade demic mic Me Members rs

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  • In addition to basic Industrial Engineering approaches,
  • ur department tries to make a difference in four areas:

– Ergono

  • nomi

mics cs and d Busin sines ess s Environme vironment nt Desig ign – System stems s Engi gineeri neering ng – Produ duction tion – Economics

  • nomics and

d Fin inan ancia ial l Engi gineeri neering ng

Our Differenc erence in Indu dustr strial ial Engine neering ering

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ERGONOMY

  • Ergonomics; taking into account the physiological and psychological

characteristics of human beings, is a branch of science that examines the harmony of human with machine and environment.

  • With ergonomics studies;

– Balancing workload and working power in the best way, – It protects the health of the employee, – Interaction of human - machine - environment systems, which ensures production efficiency, – Application of the fields of anatomy, physiology and experimental psychology, – Briefly; It covers all of the works to optimize the working and living conditions of the designs intended for human use.

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ERGONOMY

  • Thanks to ergonomic improvements, the working environment is

free of the dangers and accidents; it is transformed into an environment that enhances human motivation.

  • In addition, due to the ergonomic disruptions of the work is

prevented and the efficiency is increased and the cycle time decreases.

  • Ergonomic arrangements do not only cover the production

environment; office ergonomics, hospital ergonomics, city ergonomics also provide great benefits

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  • The studies that can be done within this scope can be

examined under 8 main topics:

– Physi sical cal Evaluat aluatio ion n of the Workp rkpla lace ce – Anth thropome ropometric tric Revie iew – Manua nual l Lifting ing Work rk (MLF LF) – Ergo gonom nomic ic Workp rkplace lace Organizat anization

  • n

– Personal sonal Prote tect ctors

  • rs / Machine

chine Protectors tectors – Risk sk Analysis alysis and Hazard zard Sources rces – Posture sture Anal alysis ysis – Physi sical cal Load ads s for r Menta ntal l Load ads s and d Blue ue Collar lar in Office ice Work rk

ERGONOMY

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  • The system is a structure that brings together different elements

and produces results that they cannot produce when they are

  • separate. These elements; parts, people, software, hardware,

facilities, techniques and technologies, documents, policies etc. elements.

  • System engineering enables the design, production, maintenance

and termination of complex systems or the sub-systems that constitute these systems, especially taking into account economic fluctuations and time, cost, quality, productivity and ethical constraints.

SYS YSTEM ENGINEERIN ING

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  • Systems Engineering programs address, analyze or design

the whole using all the basic concepts, tools and methods required for the analysis of functionally complex systems.

  • With the system engineering approach, the whole system is

handled as a whole, rather than focusing on the individual parts of the system, and problems or problems are identified and resolved faster by an interdisciplinary approach.

  • The system engineering approach defines the functional

and conceptual structure as a whole and elaborates the whole function as much as the end user. It also monitors and manages processes from design to finishing (scrapping

  • r destroying).

SYS YSTEM ENGINEERIN ING

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  • Manufacturing management, the material, machinery,

manpower resources in the hands of the company in a certain amount of time to produce products in a timely manner and at the lowest cost to bring together.

  • The types of manufacturing are examined in two sections,

conventional and non-traditional. Non-traditional manufacturing methods developed after the Second World War, modern technology has become indispensable methods. In this way, flexible production capabilities increased and production costs decreased.

PRODUC UCTIO TION N

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  • Manufacturing works on a system based on basic and

mechanical infrastructure.

  • Machining, which is one of the main production types, is

the production method which involves the design and construction of the machined machine element, which has been designed and constructed in advance, by forming the cutting machine with the determined cutting tools according to the manufacturing process. Thanks to machining, parts of different geometries and dimensions can be obtained.

PRODUC UCTIO TION N

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ECONOMY Y & FINANC NCIA IAL ENGINEERIN ING

  • The risks we face have also changed due to the globalization

and the rapidly developing technologies and the increasing international trade and relations. Exchange rate movements in money markets have become one of the most important risks faced by institutions.

  • Risk Management has emerged as a very important
  • discipline. Each organization has to calculate the risks it

faces in the most effective way according to its business approach and objectives.

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  • Financial Engineering simulates the operation of the financial

instruments required for realization of risk management in the money market by the creation, correct pricing and mathematical modeling of financial instruments.

  • Stochastic processes, simulation and optimization techniques

frequently used in operations research can be used in Financial Engineering applications.

  • In addition, interest-free risk management efforts have gained

considerable importance in order to reduce the systemic risks of interest and interest.

ECONOMY Y & FINANC NCIA IAL ENGINEERIN ING

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PUIC (Publ blic ic-Univ Univer ersit sity-Ins Insiti ititute tute Coope perati ation)

  • n)
  • Our Department,

– Improvement of any system, – Establishing a systematic and efficient structure, – Making arrangements in accordance with the essence of the institutions, – Calculation of potential gains and – To manage all kinds of risks – Has the necessary capabilities.

  • Our department

– It is open to mutual trust and sustainable cooperation between each institution and department academicians. The scientific potential in our department can be transferred to the institutions and transformed into economic value.

  • Our department

– Turn-key projects are available.

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Thank you !!!

AYBÜ IE Department