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Development of an innovative methodology supporting project risk management in the manufacturing company of the automotive industry

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

The presented article attempts to develop an innovative methodology for supporting risk management of the implementation of projects. The methodology applies to manufacturing companies of the automotive industry, because it is one of the industries where the projects are comparable to each other. On this basis, it is possible to identify the risks that occurred in the past during the various stages of projects, which can contribute to more effective risk management during the current and future projects. The paper presents selected methods of data analysis: statistical method and method of graphical data visualization. There are also shown recommendations for data collection and processing which will enable the development of the innovation called authorial methodology. This developed methodology describes how to collect data on ongoing projects, as well as how to make their analysis to allow their subsequent use. The presented methodology is to aimed at optimizing decision making for project implementation in management sciences.

Original languageEnglish
Title of host publicationICORES 2017 - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems
EditorsFederico Liberatore, Greg H. Parlier, Marc Demange
PublisherSciTePress
Pages265-271
Number of pages7
ISBN (Electronic)9789897582189
DOIs
Publication statusPublished - 2017
Event6th International Conference on Operations Research and Enterprise Systems, ICORES 2017 - Porto, Portugal
Duration: 23 Feb 201725 Feb 2017

Publication series

NameICORES 2017 - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems
Volume2017-January

Conference

Conference6th International Conference on Operations Research and Enterprise Systems, ICORES 2017
Country/TerritoryPortugal
CityPorto
Period23/02/1725/02/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Innovations
  • Management Science
  • Methodology
  • Optimization of the Decisions
  • Project Risk Management

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Control and Systems Engineering
  • Management Science and Operations Research

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