A framework for the Selection of a packaging design based on the SWARA method

Dragiša Stanujkić · Darjan Karabašević · Edmundas Kazimieras Zavadskas

296 citations0/0 files storedEngineering Economics

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Multi-Criteria Decision Making Strategic Planning and Analysis Consumer Packaging Perceptions and Trends

Abstract

Well-designed packaging is intended to present a product in the best possible way, which would have a significant impact on sales improvement. Creating and finding the ideal design solution for packaging is an extremely complex process. Many characteristics of a packaging design can affect the level of customer satisfaction, where the different characteristics of the packaging tend to have a different significance. To make the problem more complex, the significance of characteristics of a packaging design is not the same for all customers. Therefore, creating and finding the ideal design solution for packaging often involves an evaluation of a number of variants, typically evaluated on the basis of multiple criteria, often with different significance. To provide an efficient approach for the selection of appropriate packaging, a framework for selecting the appropriate packaging design which meets customer preferences, based on the SWARA method and group decision making, is proposed. The usability and efficiency of the proposed framework is considered in the case of the selecting the appropriate packaging design for the wine of the autochthonous grape variety called Black Tamjanika. On the basis the considered examples, it can be concluded that SWARA method can be successfully used to solve many similar problems, and that in some cases may have some advantages over similar methods, such as AHP method or Conjoint Analysis. As an advantage of the proposed procedure can be mentioned a much smaller number of comparisons in pairs, compared with the AHP method, and much more comprehensible procedure for selecting the most acceptable alternative, compared with Conjoint Analysis. The proposed framework can also be easily adjusted to solve a significant number of MCDM problemsDOI: http://dx.doi.org/10.5755/j01.ee.26.2.8820

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 296 citations exist upstream.

References

1977A scaling method for priorities in hierarchical structures 2010SELECTION OF RATIONAL DISPUTE RESOLUTION METHOD BY APPLYING NEW STEP‐WISE WEIGHT ASSESSMENT RATIO ANALYSIS (SWARA)2014STATE OF ART SURVEYS OF OVERVIEWS ON MCDM/MADM METHODS 2011MULTIPLE CRITERIA DECISION MAKING (MCDM) METHODS IN ECONOMICS: AN OVERVIEW / DAUGIATIKSLIAI SPRENDIMŲ PRIĖMIMO METODAI EKONOMIKOJE: APŽVALGA 2007Using AHP and TOPSIS approaches in customer-driven product design process 2010Studying the influence of package shape and colour on consumer expectations of milk desserts using word association and conjoint analysis 1994AN AHP FRAMEWORK FOR PRIORITIZING CUSTOMER REQUIREMENTS IN QFD: AN INDUSTRIALIZED HOUSING APPLICATION

Cited by

2019A multi-criteria decision-making framework for agriculture supply chain risk management under a circular economy context 2018An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process 2017Evaluating construction projects of hotels based on environmental sustainability with MCDM framework 2016NEW INTEGRATION OF MCDM METHODS AND QFD IN THE SELECTION OF GREEN SUPPLIERS 2022Road safety assessment and risks prioritization using an integrated SWARA and MARCOS approach under spherical fuzzy environment

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.