Modelling Quality Assessment of the Supply Chains
Journal Title: Logistics and Transport - Year 2019, Vol 42, Issue 2
Abstract
The article presents how to use methods and tools in the area of quality engineering to assess the supply chain, having the example of the food industry. It outlines the regulatory requirements and standardization documents for the transport of dairy products. Using a questionnaire conducted it selects criteria that were directly used to assess the quality of the supply chain (network). Then, using the Pareto-Lorenz diagram the most important criteria were selected, which were also used in the study.
Authors and Affiliations
Arkadiusz Jóźwiak, Jarosław Zelkowski, Andrzej Świderski
Keywords
Related Articles
- EP ID EP630832
- DOI 10.26411/83-1734-2015-2-42-7-19
- Views 57
- Downloads 0
The Place of Reverse Logistics in the Modern Society
Logistics of modernity embodies the principles and approaches without implementation of which it is not possible to talk about competitiveness of enterprise, about its future prospects of successful development. Logistic...
The method of modelling the intermodal network in Poland using multi-agent systems
For a dozen or so years, despite a transitional financial crisis, the European Union countries have been observing a steady growth in the movement of goods by road transport. As specified by the European Commission, the...
Modeling the influence of fixed-route network operational system on the area service quality
Fixed-route networks constitute a category of transport infrastructure systems. As a fixed-route transport system subgroup they present a combination of transport solutions related in terms of operating properties. Owing...
Organization of Non-Normative Transport in Poland
In Poland since a few years we can notice a increase in traffic. The largest part (over 85%), are trucks that typically have a width up to 2.45 m and a weigh to 24 tonnes. The road network in our country allows for easy...
Agent systems as modern methods in the simulation tools
Modern computer simulation tools are based on different mathematical models. The simplest of these models are rank as rigid computational methods like statistics or probability mathematics. To flexible, more complex comp...