Graduate Courses Descriptions

 

GRADUATE COURSE DESCRIPTIONS

 

ENM 505 Project Management (3+0) 3

Introduction to project management, defining project management, project goals, classification of projects, project planning, organization charts of project management, Gantt chart, principles of drawing networks. CPM and PERT methods, finding the completing time of project, finding the critical path, finding the floats, resource allocation, crashing the project. Using linear programming to find critical path, finding the minimum cost of completing the project by the T deadline.

 

ENM 507 Linear Optimization (3+0) 3

Basic assumptions of linear optimization, modeling, graphical method and geometric theory of linear optimization, matrix form and the revised simplex method, theory of duality and the optimality conditions, post-optimality and parametric analysis, bounded variable technique and decomposition.

 

ENM 508 Discrete Optimization (3+0) 3

Introduction to discrete optimization, structure of discrete optimization, pure and mixed discrete optimization problems, branch-bound method (graphical b&b and dual simplex b&b), cutting plane method, dual cutting methods and solution, formulation and solution of the 0-1 optimization problems, deterministic and probabilistic dynamic programming, solutions of the network, inventory, resource allocation, facility layout, equipment replacement, scheduling and traveling salesmen problems.

 

ENM 509 Production Systems Planning (3+0) 3

The general concepts and design of production planning and control systems, static and dynamic production planning models, lot-size models, other models of production planning and control, network models for production planning and control, using software for production planning.

 

ENM 510 Supply Chain Management (3+0) 3

Fundamentals of supply chain management and enterprise resources planning (ERP); aggregate production static, dynamic, nonlinear and lot sizing models; operations scheduling; flow shops and job shop management and materials requirement planning (MRP); capacity resources planning (CRP); distribution management; implementation of manufacturing management strategies.

 

ENM 511 System Simulation (3+0) 3

Simulation methodology and its comparison with other techniques. Discrete system simulation, Input data analysis and determining input distributions, random variable generation, statistical analysis of output. Variance reduction techniques. Simulation Optimization. Students are required to carry out real-life applications in production or service systems with SIMAN or ARENA.

 

ENM 514 System Reliability (3+0) 3

Concept of reliability, reliability function generation, determination of reliability function, exponential and Poisson distributions, reliabilities of series or parallel systems, network reliability, measuring and testing of reliability.

 

ENM 517 Time Series Analysis and Forecasting Methods (3+0) 3

Objective of time series analysis, some concepts, auto covariance and autocorrelation, stationary and non-stationary time series, Box-Jenkins models, ARMA and ARIMA models, model identification, parameter estimation, fitness tests, forecasting with Box-Jenkins models.

 

ENM 518 Production Management Systems (3+0) 3

The concept of computer integrated production management, just in time (JIT) approach, manufacturing systems design and planning for JIT, Kanban system and its design, Alternative systems to Kanban, optimized production technology (OPT) approach, DRP systems, flexible manufacturing systems (FMS) approach, the planning models of FMS, design and applications of FMS. 

 

ENM 519 Advanced Engineering Economics (3+0) 3

Investment projects and its cash flow, interest and equivalence, measures of investment worth, development of the effects of inflation, deterministic models, linear programming models, discrete models, dynamic models, multiple-criteria optimization models, utility theory, measures of investment under risk, decision tree, methods of comparing risky projects.

 

ENM 520 Inventory Theory (3+0) 3

Analysis of production-inventory systems, deterministic single-item models with static demand, constrained, multi- items models, stochastic single-period models, periodic review models, continuous review models, lot-size problems with dynamic demand.

 

ENM 521 Probabilistic Analysis (3+0) 3

Probability theory and its applications, mathematical structure of probabilistic properties, discrete and continuous random variables, some important random variables and their properties, expected values, moments and moment generating functions of random variables, some limit theorems of probability theory: Law of large numbers, central limit theorem.

 

ENM 522 Research Techniques in Human Factors Engineering (3+0) 3

Introduction to human factors engineering, definition, scope and, goals and objectives. The importance of human factors engineering with respect to industrial engineering and management, work assessment, variation of the supply of performance, the anatomical and mechanical structure of the human body, analysis of working environment with respect to the anthropometry, working conditions, the designing the workplaces according to ergonomics principles, ergonomic principles for facility inspection, machine system protections, work accidents, shift working.

 

ENM 523 Graph Theory (3+0) 3

Basic concepts, directed-undirected graphs, connectivity in graphs, digraphs, sub-graphs, co-cycles, planarity, duality, Eulerian and Hamiltonian graphs, node and arc coloring.

 

ENM 525 Network Optimization (3+0) 3

Basic network concepts, shortest path algorithms, maximum flow algorithms, minimum cost networks, minimum spanning trees, assignment and matching problems, network-simplex technique, multi-commodity flows, out-of-kilter algorithm.

 

ENM 530 Advanced Facilities Planning (3+0)3

Production system and design, capacity and selection of technology, plant layout problem, planar single-facility location problems, planar multi-facility location problems, network location problems, cyclic network location problems, advanced discrete-facility location problems, material handling system, selection of communication systems and equipment.

 

ENM 532 Multiobjective Optimization (3+0)3

An introduction to multi criteria decision making, fundamentals of multi criteria optimization, formulation of multiobjective optimization, multiobjective programming approach, goal programming approach, compromise programming, electre approach, applications in production management and other related areas.

 

ENM 533 Sequencing and Scheduling (3+0) 3

Model characteristics, machine configurations, processing characteristics and constraints, objectives and performance measures, general-purpose scheduling procedures, basic dispatching rules, branch and bound, local search methods, one machine, parallel machine, flow-shop models, sequence-dependent set up times, earliness and tardiness penalties, job shop scheduling, the shifting bottleneck heuristic for makespan and total weighted tardiness.

 

ENM 534 Stochastic Processes (3+0) 3

Probability spaces and classification of stochastic processes, Markov chains with discrete and continuous parameter spaces; characterization and limiting behavior, birth and death processes and their application to queuing theory, introduction to renewal theory.

 

ENM 540 Nonlinear Optimization (3+0) 3

Local and global optimization, classical optimization theory, the Lagrangian function, Kuhn-Tucker necessary conditions, quadratic programming, search methods for unconstrained optimization, gradient methods for unconstrained optimization, constrained optimization.

 

ENM 542 Group Study in Operations Research (3+0) 3

The aim of this course is modeling and analysis of real world problems using operations research techniques by groups of the students.

 

ENM 543 Heuristic Optimization (3+0) 3

What is heuristic optimization? For which problems is it used? Introduction to simulated annealing, application areas, development and problem oriented algorithms. Introduction to Tabu Search, application areas, development and problem oriented algorithms. Introduction to Genetic Algorithms, application areas, development and problem oriented algorithms. Introduction to Neural Networks, estimation and optimization with Neural Networks. Hybrid algorithms. Verification of results obtained by heuristic optimization.

 

ENM 544 Decision Analysis (3+0) 3

Introduction to decision theory, structuring decisions, making choices, value of information, utility theory and its applications, sensitivity analysis, complex decisions and simulation, conflicting objectives and solution approaches.

 

ENM 546 Design of Experiments (3+0) 3

Basic concepts and methods of experimental design. Single and multiple regression analysis, analysis of variance. Single factor experiments. Random block design and Latin square. Factorial design, fixed effect model, random and mixed models. Applications.

 

ENM 547 Fuzzy Set Theory (3+0) 3

Introduction to fuzzy set theory, basics of fuzzy sets, fuzzy measures, fuzzy logic, applications of fuzzy set theory.

 

ENM 551 Logistics Management (3+0)3

Logistics and logistics management, concepts of procurement, manufacturing and distribution logistics, supply chain management, relationship between supply chain and logistics, logistics and transportation as an integrated supply chain, logistics network design, inventory management, distribution systems and distribution strategies, logistics strategies, logistics planning, process of solving logistics problems and applications, outsourcing, third-party and fourth-party logistics, role and requirement of information technology in logistics and supply chain management, supply chain management and logistics case studies.

 

ENM 552 Information Systems (3+0) 3

Introduction to information systems, data processing and management information systems, database management systems, system development tools, information system development, decision support systems, office automation systems, executive information systems, artificial intelligence and expert systems.

 

ENM 555 Storage and Distribution Systems (3+0) 3

Planning, design, and analysis of storage and distribution systems; conventional versus automated methods; assessing and optimizing system performance; heuristic dispatching algorithms; packaging and bundling; vehicle routing algorithms; fleet design; global issues in storage and distribution; web based approaches.

 

ENM 556 Special Topics in Modern Manufacturing (3+0)3

Design and performance analysis of modern manufacturing systems: cellular manufacturing systems, automated material-handling and storage systems; concurrent engineering implementations, robotic systems, flexible manufacturing systems, computer integrated manufacturing. Various papers and references are presented related to FMS and CIM. State of-the-art papers are discussed. Also recycling and remanufacturing implementations are discussed.

 

ENM 557 Multi-criteria Decision Making (3+0)3

Introduction to decision making, Decision making under uncertainty under risk, Decision trees, Structuring the decision making problem, Multi-criteria decision making methods, Basic methods, Interaction methods, Outranking methods, Value based methods.

 

ENM 558 Knowledge Discovery (3+0)3

Principles of Data Mining. Data Preprocessing. Classification. Association Rules. Clustering. Outlier Analysis. Text Mining. Fuzzy Sets & Rough Sets