The aim of this course is to provide students with a sound understanding of the use of computational modelling techniques applied to Industrial Engineering problems. Students should develop an understanding of the strengths and limitations of standard numerical techniques in engineering. Spreadsheets, computer algebra systems (computational/symbolic processing software packages), and a structured programming language will be introduced. Emphasis is primarily on applications in the areas of production management, operations research and system design. This course will cover elementary numerical analysis, number representation, roots of equations, system of linear algebraic equations, non-linear equations, curve fitting, regression, integration and differentiation, finite difference methods, linear programming.
Prerequisite: CMPE110 Co-requisite: IENG212
This course is designed to introduce basic research methods and principles in ergonomics that can provide us with more efficient and comfortable places in which to work and live. This will be explored by considering body and work physiology, biomechanics, anthropometry, information processing and environmental factors (the effect of thermal factors, noise, vibration, illumination). Study of human performance by analysis of process involved in executing complex tasks and identification of factors. The effect of control display design, age and shift work on the performance of human beings will also be explored. Analysis of factors that limit human performance and development of skills. Human factors that affect product and workplace environment design.
Prerequisite: IENG301 and/or consent of the instructor
This course is designed to introduce the engineering student with the basic principles of occupational safety and health management in industry. Development of safety and health function, concepts of hazard avoidance, impact of regulations, toxic substances, environmental control, noise, explosive materials, fire protection, personal protection and first aid will be introduced.
Basic definitions and concepts in graph theory and network systems are presented in this course. The course concentrates on applications of network algorithms to project management. Basic network topics covered in this course are: minimal and maximal paths, flow networks, activity networks.
Prerequisite: IENG313 and/or consent of the instructor
The aim of this course is to improve the skills of students in modeling and solving real life problems in the mathematical programming and optimization. Both deterministic and stochastic models are considered. Topics covered are: numerical methods and their implications in linear programming; introduction to non-linear and dynamic programming; techniques to solve Markov decision problems.
Prerequisite: IENG314 and/or consent of the instructor
This technical elective course is designed for students who are interested in stochastic systems. The course provides a review of probabilistic concepts and basic definitions and constructions of stochastic processes. Analysis of Bernoulli and Poisson processes, Markov chains, birth and death processes, Chapman Kolmogorov equations, Markov decision processes are main subjects of the course. Other topics covered in the course are: applications to queuing and inventory problems, basic results of M/G/1 and GI/G/1 queuing models, renewal theory and its applications.
Prerequisite: MATH322 and/or consent of the instructor
This course is designed to familiarize the student with the basic techniques used in the management of projects. It covers: project management: nature and organization; financial and commercial framework; definition, cost estimating, contracts and funding; planning and scheduling; network analysis including CPM & PERT, scheduling resources; computer applications: preparation, packages; purchasing and materials management: scheduling, ordering, materials control, purchasing procedures; managing work and costs: program implementation, managing progress, commissioning, permits, cost management; decommissioning; project closure.
Prerequisite: Senior standing and/or consent of the instructor
The aim of this course is to introduce the basic techniques used in decision making for complex systems. Theory and methods that are used to analyze multi-attribute decision problems under certainty, uncertainty and risk are discussed. Topics covered in the course include: the value of information, the concept of utility function, expected utility theory, decision trees, portfolio theory, formulation of the multi-attribute problem, decision making with discrete and continuous alternatives. Applications selected from capital investment, bidding, marketing, purchasing and inventory control will also be provided.
Prerequisite: IENG313 and/or consent of the instructor
The aim of this course is to study the practical and advanced theoretical issues in inventory planning and control. The topics covered in the course are: an overview of inventory systems, deterministic and stochastic models, fixed versus variable reorder intervals, dynamic and multiple stage models, selection of optimal inventory policies for single and multiple item dynamic inventory models, myopic policies, multiple echelon models, and heuristic algorithms.
Prerequisite: IENG332 and/or consent of the instructor
This course is designed to provide theoretical and practical issues in machine scheduling. Terminology, characteristics and classification of sequencing and scheduling problems. An overview of computational complexity theory. Scheduling approaches. Static and dynamic scheduling problems: single stage and multi-stage (flow shop, open shop, job shop, etc.) problems with various scheduling criteria. Priority dispatching. Survey of other scheduling problems. Applications in production and computer systems.
Prerequisite: IENG431 and/or consent of the instructor
Supply chain management; Performance of supply chain and it's measurement; Different structures of supply chains; Planning in supply chain including demand forecasting, aggregate planning, and planning of demand and supply; Planning and managing inventories in supply chain; Information sharing; Designing and planning logistic systems of supply chain. New product development; Planning, managing and controlling of purchasing and logistics systems of supply chain; Strategic orientation toward the design and development of the supply chain; Bull-whip effect; Total Quality Management to assess and assure customer satisfaction; Global strategies; Expert systems for continuous improvement of the supply chain.
Prerequisite: Senior standing and/or consent of the instructor
This course is designed to cover the advanced issues in design, planning, and analysis of performance issues in production systems, production/inventory systems and network of production/inventory and distribution systems. Production and transfer lines. Assembly systems. Impact of computer aided design and manufacturing on production planning. Manufacturing information systems, classification and coding; i.e., Group Technology. Characteristics of Cellular Manufacturing, Flexible Manufacturing and Just-in-Time Production Systems. Automated material handling systems. Consideration of technical and economic aspects of equipment, process and system design. This project oriented course requires extensive use of simulation in analysis of system performances.
Prerequisite: IENG431, IENG461 and/or consent of the instructor
This course is designed to teach the basics of computer integrated manufacturing. Topics covered in this course are: CIM definition. CIM environment, CIM benefits, Components of a CIM Architecture: Simulation, Group Technology, Networks, Concurrent Engineering, CAD/CAM. Classification of production systems for the design and selection of production planning and control.Integrative Manufacturing Planning and Control. Integration of information and material flow in manufacturing. Developing a successful CIM strategy. CIM Examples. Modeling Methodology and tools in analysis and design for CIM. Application of virtual reality in CIM.
Prerequisite: IENG431 and/or consent of the instructor
This course is aimed to analyze service systems from the perspective of an industrial engineer. Structure of service producing systems and representation of them as production systems are discussed in the course. Topics covered in this course are: basic design and operational concepts in service and process selection, capacity planning, facilities planning, work design, aggregate service planning, scheduling, service quality information systems.
Prerequisite: IENG314 and/or consent of the instructor
This interdisciplinary course is designed to help students to evaluate the business skills and commitment necessary to successfully operate an entrepreneurial venture and review the challenges and rewards of entrepreneurship. The core of the course focuses on the discovery and understanding of entrepreneurial attitudes and behaviors within oneself. Students will also be introduced to entrepreneurship from an economic perspective and the concepts of environmentally sustainable practices and social entrepreneurship. The students will be given the competencies required to be an entrepreneur through case studies, creative problem solving and exercises aimed at self-development.
This course is designed to introduce engineering management principles to students. It aims to educate engineering students how to assume management positions in engineering organizations. It covers the historical developments in this area, the organizational issues, motivating engineers, managing the activities of design, production and manufacturing, and managing engineering projects.
Prerequisite: Senior standing and/or consent of the instructor
The aim of this course is to teach the basics of technology management to senior industrial engineering students. It covers the major technological aspects of process and manufacturing industries in relation to their management, selection and implementation issues of new technologies, managing technological and the related organizational changes.
Prerequisite: Senior standing and/or consent of the instructor
This course is designed to prepare senior industrial engineering students to assume positions in a research and development environment. The process of technological innovation and its relationships to organization, management of R & D, transfer of technology from laboratories to industry, and license and patent agreements are among the topics studied.
Prerequisite: Senior standing and/or consent of the instructor
The aim of this course is to introduce the fundamental concepts and terminology used in the study of the effects of the legal environment on the decisions which the engineer as a manager must make. Formulation of employment contracts. Health and safety at work. Occupational accidents. Employers' liabilities. Collective bargaining. Collective agreement. Conciliation and arbitration.Strikes and lock-outs. Social security. Legal provisions.
Prerequisite: Senior standing and/or consent of the instructor
This course introduces the fundamentals of large-scale system design to senior IE students. First, the concepts underlying Systems Engineering are covered, distinguishing Systems Engineering from classical bottom-up engineering. It then develops a methodology for working with these concepts and shows all the specialist subdisciplines, including life cycle costing, reliability, and maintainability have to be integrated into the top-down design process in order to achieve the overall goal of maximum cost-effectiveness.
Prerequisite: Concurrently with IENG314
The aim of this course is to teach how to study and investigate structural and operational properties of complex industrial systems through the System Dynamics approach. The topics covered are: development of system dynamics, principle areas of application and techniques used, structures of dynamic systems, formation of identity models, introduction to DYNAMO, analysis of positive and negative feedback flows and S-shaped growth behavior.
Prerequisite: IENG461 and/or consent of the instructor
This course is designed to make an overview on the advanced topics in artificial intelligence and expert systems. Problem representation and reasoning. Problem modeling. Problem-solving techniques: state-space approach and problem-reduction approach. Proof theory of prepositional logic. First order predicate logic. Knowledge base, expert systems. Inference engine. Machine learning: inductive inference, analog inference and adductive inference. Learning by instruction. Learning from examples.Conceptual clustering. Explanation-based learning. Connectionist learning (neural networks). Industrial applications and robotics.
Prerequisite: IENG372 and/or consent of the instructor
This course is designed to give some advanced forecasting models for discrete time series. Identification and estimation of parameters in autoregressive moving average. Mixed autoregressive moving average processes. Autocorrelation functions. Box-Jenkins approaches to problems of identification. Estimation and forecasting. Linear stationary and non-stationary models. Kalman filters. Bayesian forecasting techniques. Prerequisite: IENG332, IENG385 and/or consent of the instructor
This course is designed to answer the question on ''how quality can be achieved in all areas of an organization, including design, production, marketing, customer services and personnel''. History of quality. Development of basic quality control concepts. Basic statistical methods employed in the assurance of product conformance to specifications in the industrial environment. Quality engineering in product and process design and quality costs. Understanding of total quality concept and the scope of Total Quality Management. Continuous improvement through Total Quality Management.
Prerequisite: Senior standing and/or consent of the instructor
The aim of this course is to introduce basic principles of experimental design. Replication. Randomization. Blocking.Transformations. Fixed and random effects. Latin squares. Factorial experiments. Analysis of variance and covariance. Regression analysis. Response surfaces.
Prerequisite: IENG385 and/or consent of the instructor
In this course, the system reliability is introduced, and analysis of deterministic, probabilistic and stochastic reliability models are discussed. Topics covered include: coherent structures, min-path and min-cut representations, computing system reliability, systems with associated components, bounds on system reliability, classes of life distributions, optimal management of systems by replacement and preventive maintenance.
Prerequisite: MATH322 and/or consent of the instructor
This course is designed for the students who wish to conduct research in industrial engineering. Each student is assigned a research topic that is suitable to his/her academic background and interests. Under the supervision of a departmental faculty member, the student will tackle the problem and find a satisfactory solution. Written and oral presentations of results are required.
Prerequisite: Senior standing and/or consent of the instructor
Atoms, molecules and ions; Mass relations in chemistry, stoichiometry; Gasses, the ideal gas law, partial pressures, mole fractions, kinetic theory of gases; Electronic structure and the periodic table; Thermo chemistry, calorimetry, enthalpy, the first law of thermodynamics; Liquids and Solids; Solutions; Acids and Bases; Organic Chemistry.
Physical quantities and units. Vector calculus. Kinematics of motion. Newton`s laws of motion and their applications. Work-energy theorem. Impulse and momentum. Rotational kinematics and dynamics. Static equilibrium.
Limits and continuity. Derivatives. Rules of differentiation. Higher order derivatives. Chain rule. Related rates. Rolle's and the mean value theorem. Critical Points. Asymptotes. Curve sketching. Integrals. Fundamental Theorem. Techniques of integration. Definite integrals. Application to geometry and science. Indeterminate forms. L'Hospital's Rule. Improper integrals. Infinite series. Geometric series. Power series. Taylor series and binomial series.
ENGL191 is a first semester freshman academic English course. The purpose of this course is to consolidate and develop students' knowledge and awareness of academic discourse, language structures and lexis. The prime focus will be on the further development of writing, reading, speaking and listening skills in academic settings, and on improving study skills in general.
A basic Turkish course introducing the Turkish language to international students. It incorporates all four language skills and provides an introduction to basic grammar structures. Students will be encouraged to develop their writing skills through a variety of tasks. The aim of this course is for students to be able to understand and communicate in everyday situations, both in the classroom and in a Turkish-speaking environment.
This course is for Turkish students only. The aim of the course is to introduce the Ottoman Empire's situation at the 19. Century, Trablus and Balkan Wars, I. World War and it's consequences, Turkish Independence War, Mudanya Treaty, Lausanne Treaty, and Principles of Ataturk.
This is the first part of a two-part series of introductory courses in essentials of business management. The course is comprised of two parts: Part One deals with understanding of the contemporary business environment, in which topics covered include an understanding of the business system; the global context of business; conducting business ethically and responsibly; entrepreneurship and small businesses. Part Two focuses mainly on helping the student to understand the business of managing. In this part topics such as managing the business enterprise, organizing the business enterprise, and managing quality operations are covered.
Kinetic theory of ideal gases. Equipartition of energy. Heat, heat transfer and heat conduction. Laws of thermodynamics, applications to engine cycles. Coulombs law and electrostatic fields. Gauss's law. Electric potential. Magnetic field. Amperes law. Faradays law.
Pre-requisite: PHYS101
Vectors in R3. Lines and Planes. Functions of several variables. Limit and continuity. Partial differentiation. Chain rule. Tangent plane. Critical Points. Global and local extrema. Lagrange multipliers. Directional derivative. Gradient, Divergence and Curl. Multiple integrals with applications. Triple integrals with applications. Triple integral in cylindrical and spherical coordinates. Line, surface and volume integrals. Independence of path. Green's Theorem. Conservative vector fields. Divergence Theorem. Stokes' Theorem.
Pre-requisite: MATH151
Set theory, functions and relations; introduction to set theory, functions and relations, inductive proofs and recursive definitions. Combinatorics; basic counting rules, permutations, combinations, allocation problems, selection problems, the pigeonhole principle, the principle of inclusion and exclusion. Generating functions; ordinary generating functions and their applications. Recurrence relations; homogeneous recurrence relations, inhomogeneous recurrence relations, recurrence relations and generating functions, analysis of algorithms. Propositional calculus and boolean algebra; basic boolean functions, digital logic gates, minterm and maxterm expansions, the basic theorems of boolean algebra, simplifying boolean function with karnaugh maps. Graphs and trees; adjacency matrices, incidence matrices, eulerian graphs, hamiltonian graphs, colored graphs, planar graphs, spanning trees, minimal spanning trees, Prim's algorithm, shortest path problems, Dijkstra's algorithms.
ENGL192 is a second semester freshman academic English course The purpose of this course is to further consolidate and develop students' knowledge and awareness of academic discourse, language structures and lexis. The prime focus will be on the further development of writing, reading, speaking and listening skills in academic settings, and on improving study skills in general.
Pre-requisite: ENGL191
A basic introduction to business matters. Topics include: motivation and leadership; human resources and labor relations; marketing, information systems; money and banking; and securities and investments.
The course will cover fundamental concepts of both macro- and microeconomics at the introductory level. Microeconomics aspects of the course include supply and demand; elasticity; market efficiency; cost of production; and profit maximization in competitive and monopolistic markets. Macroeconomics aspects include national income accounting; unemployment; inflation; LR and SR aggregate demand and supply curves; economic growth and international trade.
Systems of linear equations: Elementary row operations, echelon form, Gaussian elimination method; Matrices; determinants, adjoint and inverse matrices, Cramer's rule. Vector spaces. Linear independence, bases and dimensions; linear mappings. Eigenvalue problem. First-order differential equations, separable differential equations, change of variables, exact differential equations. Second-order differential equations; the method of undetermined coefficients, the variation of parameters method. Systems of differential equations. Vector formulation. General results of first order linear systems. Differential systems, Homogeneous constant coefficient vector differential equations. Variations of parameters for linear systems. Laplace Transform Method.
Pre-requisite: MATH151
Design of computer algorithms with pseudo-code to solve problems, analyze engineering related problems using computer. Basic elements of a high level computer programming language: Data types, constants and variables, arithmetic and logical operators and expressions. Fundamental components of Python programming language: Storing and manipulating user-input data, design and use of selection structures, design and use of repetition structures, lists and other data structures, functions dictionaries and sets, file input/output. Explain the fundamental concepts of object-oriented programming and concept of a class: Define encapsulation, inheritance, and polymorphism
Principles of engineering graphics with the emphasis on laboratory use of AUTOCAD software. Plane Geometry, geometrical constructions, joining of arcs, principles of orthographic projection, isometric and oblique drawing, principles of sectioning, reading engineering drawing from blueprints, building plans or electrical circuit diagrams.
This is the first Industrial Training course for the students. In partial fulfillment of graduation requirements each student is required to complete three industrial training in accordance with rules and regulations set by the Department. In the training students are required to observe the organization as a whole and write a formal report based on the questions and tasks provided in the Log-Book.
Pre-requisite: MANE112
This course is designed to introduce moral rights and responsibilities of engineers in relation to society, employers, colleagues and clients. Analysis of ethical and value conflict in modern engineering practice. Importance of intellectual property rights and conflicting interests. Ethical aspects in engineering design, manufacturing, and operations. Cost-benefit-risk analysis and safety and occupational hazard considerations.
Introduction to probability and statistics. Operations on sets. Counting problems. Conditional probability and total probability formula, Bayes' theorem. Introduction to random variables, density and distribution functions. Expectation, variance and covariance. Basic distributions. Joint density and distribution function. Descriptive statistics. Estimation of parameters, maximum likelihood estimator. Hypothesis testing.
Pre-requisite: MATH151
Understanding the balance sheet and income statement of a production firm. Calculation of costs of goods and services produced by production and service companies. Measurement and reporting of financial and nonfinancial information relating to cost of acquiring and utilizing resources within the organization. Use of cost accounting data for managerial decision making.
Introduction to organizational behavior. Motivation and leadership. Communication. Power and politics. The structure of organizations. Decision-making and control. Applications in behavior. Organization development.
This course is designed to install in students the ability of conceptualization of real life system in the form of mathematical models. Principles of model building and basic optimization concepts and approaches for problem solving will be discussed in detail. The application of these principles and concepts will be illustrated using simplified but practical problems from diverse fields of application in manufacturing and service systems. Scopes and limitations of suggested formulations will be discussed and their applications in real-life situations will be studied with the help of samples of computational experience. The emphasis will be on the building and interpretation of models rather than the solution processes.
Co-requisite: MATH241
Basic objectives and concepts in human resources management. Fundamental functions of personnel management, such as human resources planning, job analysis, recruitment, selection, orientation, training and development, and personnel relations. Emerging trends in human resources management.
This course is designed to teach the fundamentals of Work Study and Ergonomics, which are both used in the examination of human and work in all their contexts. Work Study topics covered in the course are: methods study, charting techniques, time study, work-station design principles, job evaluation and compensation. The topics covered in Ergonomics are human physiology and anthropometry, fatigue assessment, industrial hygiene, information retrieval and control in humans, and fundamentals of industrial product design. Industrial accidents, theories on causes of accidents, safety analysis and hazard prevention.
Co-requisite: MANE200
This course is designed to introduce the fundamentals of operations research. The emphasis is on solution of deterministic optimization models. The topics covered are application of scientific methodology to business problems, systems concept, team concept in problem analysis, and mathematical modeling. Basic deterministic methods used in the course are linear programming, simplex method, duality, dual simplex method, post-optimality analysis, integer programming, formulation, branch and bound technique, cutting plane algorithm, simple network models, minimal spanning tree algorithm, Dijikstra's algorithm and maximal flow algorithm, nonlinear programming, unconstrained nonlinear optimization and Lagrange multiplier method.
Pre-requisite: MANE212, MATH241
The purpose of this course is to give an introduction to economic analysis for decision making in engineering design, manufacturing equipment and industrial projects. Cost concepts. Subjects covered are time-value of money, cash-flow analysis, cost-benefit analysis, decision making among alternatives (present worth, equivalent-uniform annual worth and rate-of-return methods), replacement analysis, after tax analysis, breakeven analysis, capital budgeting, and inflation.
The purpose of the course is to introduce and train students in the application of statistical tools and techniques in industries and other areas. We first introduce students to an array of statistical tools used in presenting and interpreting statistical data. After a brief review of probability distributions, estimation procedures of statistical parameters will be presented. These will include parametric, nonparametric and interval estimation procedures. Testing of statistical hypotheses under various assumptions will be presented. Finally, correlation and regression analysis of bivariate data will be introduced.
Co-requisite: MATH322
This is the second Industrial Training course for the students. In partial fulfillment of graduation requirements each student is required to complete three industrial training in accordance with rules and regulations set by the Department. Students will have the chance to observe real world Industrial/Management Engineering practices in the firms, discuss the various aspects of the production processes in an organization and write a formal report based on the questions and tasks provided in the Log-Book. During the training students should visit at least 5 departments, including manufacturing and assembling.
Co-requisite: Submission of MANE200 report, and completion of all freshman courses
Consumer behavior. Market segmentation. Product development and policies, methods and practices. Distribution decisions. Marketing communications. Marketing research. International marketing. Contemporary issues in marketing.
This course introduces uncertainty, risk, and probabilistic approaches to Operations Research. Elementary mathematical models and topics to be covered in this course are : review of probability theory with illustrations from inventory; decision analysis; decision trees and Bayes rule; utility theory approach; Markov chain models, Chapman-Kolmogorov equations, steady-state probabilities and their computation and applications; M/M/c infinite and finite capacity queuing models and optimization, queuing networks; two-person, constant and non-constant sum games , their analysis and applications.
Pre-requisite: MATH322 & Co-requisite: MANE313
Two sequel courses are designed together to provide the basics of production planning and control with the need of modern manufacturing organizations in mind. The topics covered in the first course are production and operations strategy, subjective and objective forecasting (i.e. Delphi method, trend-based methods, and methods for seasonal series), deterministic inventory planning and control (i.e. Economic Order Quantity model and its extensions to several environments), stochastic inventory planning and control, aggregate production planning, and master production scheduling.
Pre-requisite: MANE212, MATH322
The purpose of this course is to give the Management Engineering students the concepts of information technology and the importance of these concepts within the framework of management of organization and the ability to exploit continuous innovations in order to stay competitive in business. Information Technology. Basic data information concepts. Appropriate theoretical concepts of decision making. Systems Analysis, Structured analysis methodologies. Information systems development methodologies. Database management. Decision support systems. Expert systems.
Pre-requisite: MGMT102
The aim of this course is to give our students a decision tool in order to design and analyze complicated real life systems for which there is no well formulated solution. Emphasis is primarily on applications in the areas of production management through the analysis of respective computer simulation models. Use and misuse of simulation as a decision tool. Simulation methodology and model building. Modeling with a simulation language. Random variate generation. Basic issues in the design, verification and validation of computer simulation models. Statistical analysis of simulation output data. Use of simulation for estimation and comparison of alternatives.
Pre-requisite: MATH322 & Co-requisite: MANE385
Strategic Management elements and environment. The manager and management. Internal analysis and diagnosis. Computing: algorithms and data structures. Strategic implements; resource allocation, organization and control. Case analysis and corporate simulations. team works and presentation.
This course is a continuation of MANE332, Production Planning - I. The topics covered in the course are materials requirements planning, lot sizing, capacity planning, machine scheduling and loading, project scheduling in production environments, recent advances in production and operations management such as Just-in-time Production (JIT), Flexible Manufacturing Systems (FMS), and Optimized Production Technology (OPT).
Pre-requisite: MANE332
The purpose of this course is to make an introduction to planning and design of manufacturing facilities. A balance of traditional and analytical approaches to facilities planning will be presented. Principles of management and facility organization. Capacity and technology selection. Analysis of production plans and processes to compute equipment and manpower requirements. Facility location. Plant layout. Identification of production support activities such as receiving, inventory management, material handling, storage and warehousing, packaging and shipping, maintenance planning.
Pre-requisite: MANE301 & Co-requisite: MANE332
The purpose of the course is to make an introduction and lay the foundations of modern methods of statistical quality control and improvements that are used in the manufacturing and service industries. The course also introduces basics of experimental design in determining quality products and reliability models. The students will first be introduced to some of the philosophies of quality control experts and their impact on quality. After a quick review of normal probability distribution, a few graphical methods used to monitor quality improvement will be given. Control charts for variables and attributes will be given with examples. Acceptance sampling plans for variables and attributes are to follow. Principles of design of experiments along with Taguchi method will be presented. Finally reliability of systems like series, parallel, series – parallel and parallel – series systems and their design will be discussed.
Pre-requisite: MATH322, MANE385
The course aims to prepare the senior year students for their Manufacturing and Service Systems Design Project course (MANE492). The students are first introduced to the type of the manufacturing or service system that they are going to design as the requirement of MANE492 during the next academic semester. Then they are asked to conduct a market survey, submit information on the types of products/services they are going to produce, amount of sales, prices, competing producers, processes required to producing and distributing them, and relevant standards/laws/rules and regulations available in the place where the system will be established. Additionally, students are required to design the products/services, make forecasting for their sales, and prepare a feasibility study of the system.
Co-requisite: Submission of MANE300 report, one semester prior to MANE492
This is the third Industrial Training course for the students. In partial fulfillment of graduation requirements each student is required to complete three industrial training in accordance with rules and regulations set by the Department. The aim of the training is to give students opportunity to observe real world industrial/management engineering practices in a firm, participate and appreciate interdisciplinary team work, and write a formal report based on the questions and tasks provided in the Log-Book. Additionally, students must identify and define an industrial/management engineering related problem (IE/MANE Problem) in the company, and formulate and propose an acceptable solution based on the knowledge obtained in the curriculum courses. During the training a visit of at least 5 departments is required.
Co-requisite: Submission of MANE300 report
The course deals with the application of economic theory and quantitative methods to managerial decision-making problems. Topics include demand and supply analysis, production, cost analysis, forecasting, pricing, market structures, break-even analysis and capital budgeting.
The course consists of a design study of complex manufacturing or service systems. The study includes computer integrated modeling based on multiple realistic constraints such as demand, materials, capacity, location, man-machine, and information requirements. It is a project oriented course that is basically a synthesis of the techniques and methodologies previously covered in other courses. Projects are implemented conforming relevant standards, ethical issues and environmental policies.
Pre-requisite: MANE490 & Co-requisite: MANE441, submission of MANE400 report, at least 3 of the following courses must be taken; MANE314, MANE323, MANE372, MANE431, MANE461
The purpose of this course is to introduce students to the work atmosphere and opportunities available in the manufacturing and service sectors in TRNC and Türkiye. Throughout this course, a series of seminars will be given by invited speakers on issues of current interest to the practice of industrial/management engineering in various manufacturing and service systems. Additionally, seminars about continuing education in mamagement engineering related fields, research opportunities at other universities, or subjects that will broaden the horizons of students may be presented.
Pre-requisite: In the last Spring semester before graduation.
