Sustainable production network design for city multi-floor manufacturing cluster
Author(s) -
Tomasz Dudek,
Tygran Dzhuguryan,
Justyna Lemke
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.09.381
Subject(s) - computer science , supply chain , production (economics) , quality (philosophy) , process (computing) , supply chain network , network planning and design , engineering design process , risk analysis (engineering) , supply chain management , process management , mechanical engineering , medicine , philosophy , business , epistemology , political science , law , economics , macroeconomics , engineering , operating system , computer network
The most important aspects of supply chain network design implicated companies, are quality, time and effectiveness of their processes. Those aspects are issued not only by users’ requirements, but also by applicable benchmarks, specifications as well as economic and financial conditions. Thus, among others, the most desirable tools that fulfill such demands the knowledge assessment methods and applications of modern computing methods in engineering and life science. The following draft presents a method used to explain and asses the knowledge about an enterprises infrastructure system. System that allows allocation of production components and analyze their role in maintaining that process. The aim of this article is to present an approach for sustainable supply chain network design, as well as the proposal for big data repository analysis and a way to use a multicriteria method to solve a multi-objective supply chain network problems.
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