Hierarchical fuzzy decision support methodology for dangerous goods packaging design

Kata Vöröskői, Gergő Fogarasi, Péter Böröcz, L. Kóczy

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In the field of logistics packaging (industrial-, or even customer packaging), companies have to take decisions on determining the optimal packaging solutions and expenses. The decisions often involve a choice between one-way (disposable) and reusable (returnable) packaging solutions. Even nowadays, in most cases the decisions are made based on traditions and mainly consider the material and investment costs, but many other aspects are important as well. Traditional (two-valued) logic is not suitable for modeling this problem, so the application of a fuzzy signature approach was considered. In a previous paper a fuzzy signature modeling the packaging decision was suggested, based on logistics expert opinions, in order to support the decision making process of choosing the right packaging system. The aim of this study is to improve the model and apply it for dangerous goods packaging.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages1-7
Number of pages7
DOIs
Publication statusPublished - Jan 1 2020

Publication series

NameStudies in Computational Intelligence
Volume819
ISSN (Print)1860-949X

Fingerprint

Packaging
Logistics
Decision making
Costs
Industry

Keywords

  • Dangerous goods
  • Fuzzy signature
  • One-way packaging
  • Returnable packaging

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Vöröskői, K., Fogarasi, G., Böröcz, P., & Kóczy, L. (2020). Hierarchical fuzzy decision support methodology for dangerous goods packaging design. In Studies in Computational Intelligence (pp. 1-7). (Studies in Computational Intelligence; Vol. 819). Springer Verlag. https://doi.org/10.1007/978-3-030-16024-1_1

Hierarchical fuzzy decision support methodology for dangerous goods packaging design. / Vöröskői, Kata; Fogarasi, Gergő; Böröcz, Péter; Kóczy, L.

Studies in Computational Intelligence. Springer Verlag, 2020. p. 1-7 (Studies in Computational Intelligence; Vol. 819).

Research output: Chapter in Book/Report/Conference proceedingChapter

Vöröskői, K, Fogarasi, G, Böröcz, P & Kóczy, L 2020, Hierarchical fuzzy decision support methodology for dangerous goods packaging design. in Studies in Computational Intelligence. Studies in Computational Intelligence, vol. 819, Springer Verlag, pp. 1-7. https://doi.org/10.1007/978-3-030-16024-1_1
Vöröskői K, Fogarasi G, Böröcz P, Kóczy L. Hierarchical fuzzy decision support methodology for dangerous goods packaging design. In Studies in Computational Intelligence. Springer Verlag. 2020. p. 1-7. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-030-16024-1_1
Vöröskői, Kata ; Fogarasi, Gergő ; Böröcz, Péter ; Kóczy, L. / Hierarchical fuzzy decision support methodology for dangerous goods packaging design. Studies in Computational Intelligence. Springer Verlag, 2020. pp. 1-7 (Studies in Computational Intelligence).
@inbook{ae8b8a88476243c29f000ea406a16bf9,
title = "Hierarchical fuzzy decision support methodology for dangerous goods packaging design",
abstract = "In the field of logistics packaging (industrial-, or even customer packaging), companies have to take decisions on determining the optimal packaging solutions and expenses. The decisions often involve a choice between one-way (disposable) and reusable (returnable) packaging solutions. Even nowadays, in most cases the decisions are made based on traditions and mainly consider the material and investment costs, but many other aspects are important as well. Traditional (two-valued) logic is not suitable for modeling this problem, so the application of a fuzzy signature approach was considered. In a previous paper a fuzzy signature modeling the packaging decision was suggested, based on logistics expert opinions, in order to support the decision making process of choosing the right packaging system. The aim of this study is to improve the model and apply it for dangerous goods packaging.",
keywords = "Dangerous goods, Fuzzy signature, One-way packaging, Returnable packaging",
author = "Kata V{\"o}r{\"o}skői and Gergő Fogarasi and P{\'e}ter B{\"o}r{\"o}cz and L. K{\'o}czy",
year = "2020",
month = "1",
day = "1",
doi = "10.1007/978-3-030-16024-1_1",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer Verlag",
pages = "1--7",
booktitle = "Studies in Computational Intelligence",

}

TY - CHAP

T1 - Hierarchical fuzzy decision support methodology for dangerous goods packaging design

AU - Vöröskői, Kata

AU - Fogarasi, Gergő

AU - Böröcz, Péter

AU - Kóczy, L.

PY - 2020/1/1

Y1 - 2020/1/1

N2 - In the field of logistics packaging (industrial-, or even customer packaging), companies have to take decisions on determining the optimal packaging solutions and expenses. The decisions often involve a choice between one-way (disposable) and reusable (returnable) packaging solutions. Even nowadays, in most cases the decisions are made based on traditions and mainly consider the material and investment costs, but many other aspects are important as well. Traditional (two-valued) logic is not suitable for modeling this problem, so the application of a fuzzy signature approach was considered. In a previous paper a fuzzy signature modeling the packaging decision was suggested, based on logistics expert opinions, in order to support the decision making process of choosing the right packaging system. The aim of this study is to improve the model and apply it for dangerous goods packaging.

AB - In the field of logistics packaging (industrial-, or even customer packaging), companies have to take decisions on determining the optimal packaging solutions and expenses. The decisions often involve a choice between one-way (disposable) and reusable (returnable) packaging solutions. Even nowadays, in most cases the decisions are made based on traditions and mainly consider the material and investment costs, but many other aspects are important as well. Traditional (two-valued) logic is not suitable for modeling this problem, so the application of a fuzzy signature approach was considered. In a previous paper a fuzzy signature modeling the packaging decision was suggested, based on logistics expert opinions, in order to support the decision making process of choosing the right packaging system. The aim of this study is to improve the model and apply it for dangerous goods packaging.

KW - Dangerous goods

KW - Fuzzy signature

KW - One-way packaging

KW - Returnable packaging

UR - http://www.scopus.com/inward/record.url?scp=85066147068&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85066147068&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-16024-1_1

DO - 10.1007/978-3-030-16024-1_1

M3 - Chapter

AN - SCOPUS:85066147068

T3 - Studies in Computational Intelligence

SP - 1

EP - 7

BT - Studies in Computational Intelligence

PB - Springer Verlag

ER -