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Abstract

Abstract Meeting quality characteristics of products and processes is an important issue for customer satisfaction and business competitiveness. It is necessary to integrate new techniques and tools that improve and complement traditional process variables analysis. This paper proposes a new methodological approach to analyze process quality control variables using Fuzzy Cognitive Maps. Application of the methodology in the production process of carbonated beverages allowed identifying process variables with the greatest influence on finished product quality. The process variables with the greatest impact on carbon dioxide content in the beverage were the beverage temperature in the filler, the carbo-cooler pressure, and the filler pressure.
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Authors and Affiliations

Juan Cogollo-Florez
1
ORCID: ORCID
Orfani Valencia-Mena
1
ORCID: ORCID

  1. Department of Quality and Production, Instituto Tecnológico Metropolitano – ITM, Colombia
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Abstract

Municipal solid waste collection points (MSWCPs) are places where residents of municipalities can leave their waste free of charge. MSWCPs should operate in every municipality in Poland. The Geographic Information System (GIS) and analytical hierarchy process (AHP) were used in conjunction as tools to determine potential locations of MSWCPs. Due to possible social conflicts related to the location of MSWCPs, three variants of buffer zones for a residential area were adopted. As a result of the spatial analysis carried out using the GIS software, 247 potential locations were identified in variant no. 1 (which accounted for 7.1% of commune area), 167 for variant no. 2 (6.3% of commune area), and 88 for variant no. 3 (3.8% of commune area). The most favourable locations for MSWCPs were determined using the AHP method with additional criteria for which weights were calculated as follows: the area of a designated plot (0.045), actual designation of a plot in the local spatial development plan (0.397), distance from the centre of the village (0.096) and the commune (0.231), and population density of a village (0.231). The highest weights (over 50%) in the AHP analysis were obtained for 12 locations in variant no. 3, two of which had an area over 3 ha. The adopted methodology enabled to identify quasi-optimal solutions for MSWCP locations in the analysed rural commune. This research has the potential to influence future waste management policies by assisting stakeholders in the MSWCP location.
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Authors and Affiliations

Mateusz Malinowski
1
ORCID: ORCID
Sylwia Guzdek
2
ORCID: ORCID
Agnieszka Petryk
3
ORCID: ORCID
Klaudia Tomaszek
4
ORCID: ORCID

  1. University of Agriculture in Cracow, Department of Bioprocesses Engineering, Energetics and Automatization, ul. Balicka 116b, 30-149 Kraków, Poland
  2. Cracow University of Economics, Department of Microeconomics, Kraków, Poland
  3. Cracow University of Economics, Department of Spatial Management, Kraków, Poland
  4. University of Agriculture in Cracow, Department of Mechanical Engineering and Agrophysics, Kraków, Poland

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