IE 406 Project Scheduling and Control (3 0 3) (ECTS: 5) Project planning and control tools used in managing and delivering projects will be explained in depth.
IE 473 Material Handling Systems (3 0 3) (ECTS: 5) Introduction to planning and design of material handling systems, material handling terminology, principles, design procedure, analysis of material handling requirements, relationship with layout planning, unit load, material handling equipment selection, analysis of material transport systems (AGV, conveyor, monorail, cranes and hoists …), engineering analysis of storage systems (conventional vs.Over the years, most of the firms have focused their attention to the effectiveness and efficiency of separate business functions. komplett kostenlos dating seiten Bochum As a new way of doing business, however, a growing number of firms have begun to realize the strategic importance of planning, controlling, and designing a supply chain as a whole.Emphasis will be on both documentation and team-based strategies for continuous improvement, using the ISO 9000 Standard as a basis for quality system requirements.IE 435 Decision Analysis (3 0 3) (ECTS: 5) Introduction; elements of decision problems; structuring decisions; probability and decision; decision making in a complex world; uncertainty and making choices; payoffs and losses; developing a decision model; non-probabilistic and probabilistic criteria for decision making under uncertainty; utility and the assessment of utility functions; decision tree analysis; gaining insight through evaluation; the value of information; terminal and posterior decisions; the value of perfect and sample information; pre-posterior analysis; using simulation to solve decision problems; getting agreement; implementing the decision analysis process.
Single-echelon single-commodity location models
automated storage), warehousing, storage location strategies, storage system performance, equipment and space utilization.IE 474 Scheduling and Sequencing (3 0 3) (ECTS: 5) This course introduces the principles, techniques and algorithms for solving machine (resource) scheduling problems of the manufacturing and service systems.The course is mainly divided into three parts, general introduction to decision analysis, multicriteria decision analysis, and multi-objective optimization. frau gesucht kostenlos Bremerhaven In the first part, how people make decisions and decision making traps are covered.The topics covered in this course are overview of terminology, characteristics and classification of scheduling and sequencing problems, an overview of computational complexity theory, single machine, parallel machines, flow shop, job shop, and open shop scheduling problems with various scheduling criteria, dispatching rules, branch-and bound, dynamic programming, local search, and metaheuristic approaches.