Courses presented by different faculties - BMEEODH001

2

név	Levente Mályusz
beosztás	Egyetemi docens
email	malyusz.levente@epk.bme.hu

Építészmérnöki Kar - Építéstechnológia és Építésmenedzsment Tanszék

angol

2022. szeptember 1.

The aim of the course is to present the economic and mathematical models used in engineering practice, during the preparation and implementation of investments, and to get to know the application level. This is aided by the computational modeling task presented in the lectures. Key topics: MPM / PDM network time and cost planning model, resource allocation, multiattribute evaluation methods. (Bridgman model, Arimoto-Blahut method), group decision evaluation, use of learning curves in construction management.

Essay.

Week	Topics of lectures and/or exercise classes
1.	Introduction to the DSS; Definitions, Demand; A brief history of construction project management and decision support models/methods; Demand for decision support models course.
2.	Development of project management tools and models; Special models and methods for scheduling and cost estimation; Resource Allocation, Stochastic models, Critical Chain
3.	Classification of decision models and methods, basic models; Basic Principles, Multiattribute decision models;(Bridgman model, Arimoto-Blahut method)
4.	Models and methods of Project monitoring and tracking; Baseline plan; Milestones, comparing cost and labor hour; Earned Value Analysis
5.	A generalized scheduling model; Algorithm for critical path; A modified Bellman Ford algorithm for critical path (a modified generic shortest path); Effect of Calendars
6.	Challenges in scheduling; New models and their applications; Effect of calendars; practical examples; case study; Boolean relationships; Nonlinear activities; Stretchable activities; Bidirectional Relationships
7.	Learning Curves and their effect on activity time, project duration, scheduling, and construction cost; Wright, Stanford, De Jong models; advantages of data transformation; Computational examples
8.	The least cost scheduling; A generalized Time cost- trade off model; Effect of Calendars; Simulations, Computational examples
9.	Role of Real Estate Feasibility study; Financial indicators; A time cost trade off model for minimum Net Present Value scheduling; Examples
10.	Artificial intelligence algorithms for project scheduling and cost estimation; Traditional models; Advantages and drawbacks
11.	Diversification and risk, Risk reduction diversification; Markowitz portfolio theorem and its application in construction project; practical examples; Computational examples
12.	Network flows and its application in construction planning; Evacuation models, Quickest path paradox; Generalized König problem (earthmoving task); labor-work assignment problem.
13.	Introduction of a new scheduling software; Research and Development at our department; Consultations
14.	Submission of essay

A félév közbeni munkaszüneti napok miatt a program csak tájékoztató jellegű, a pontos időpontokat a tárgy honlapján elérhető "Részletes féléves ütemterv" tartalmazza.

Inactive courses

Evaluation form	Abbreviation	Assessed learning outcomes
Homework	HW	A.1-A.5; B.1-B.2; C.1-C.4; D.1

A szorgalmi időszakban tartott értékelések pontos idejét, a házi feladatok ki- és beadási határidejét a "Részletes féléves ütemterv" tartalmazza, mely elérhető a tárgy honlapján.

Accepted essay. Minimum 2 consultations before submission. Acceptance of essay topic by the end of week 4, first consultation by the end of week 8, second consultation by the end of week 12. For submission, include a 5-10 minute discussion on the topic.

2022. szeptember 5.

Inactive courses