The paper presents the use of the Kano model and the questionnaire contained in it to analyze customer preferences in relation to children’s furniture - a travel cot. A representative group of 30 people was created. The survey showed which attributes of the travel cot were assessed by the respondents as must-have, onedimensional, and which are excitement attributes (delighters) and mistakes for them. The study will help design a new travel cot model according to expectations of customers - future parents and parents of young children.
Ongoing progress in the introduction of new technologies, rapid social adaptation to the fourth industrial revolution, implementation of new solutions related to information and communication become incentives to conduct interdisciplinary scientific analyses. The following paper is a review article and the presented analysis to a large extent is based on theoretical considerations referring to studies of other authors. Presenting the sources of this notion in the context of industry 4.0 and sustainable development is a foundation for possible further experimental research. However, the primary aim of this article is to demonstrate the sources of scientific interest in artificial intelligence, directions of research on this notion and potential sociological research areas related to AI. Another goal of this article is to indicate the implications that can be used in planned research projects. The scope of the analysis is largely based on the study of literature.
Digitalization and Industry 4.0 play a big role in the current world of globalized supply chains which are becoming more and more complex and require real time data based decisions to enable highly responsive measures needed to supply goods from point of origin to point of sale or use. Various concepts such as IoT, 3D printing, CPS, AR, autonomous driving etc. can be related to Industry 4.0. This paper focuses on examining and cross comparing eight technologies related to industry 4.0 that enables more responsive supply chain management activities. It also discusses the impact of industry 4.0 on future supply chains.
Machine failures in each production system cause an increase in costs and delays in order execution. Therefore, companies decide to introduce solutions that detect and immediately remove worrying symptoms before more serious consequences occur. Unfortunately, not all failures can be avoided – in such cases, the most important thing is the quick reaction of machine operators, maintenance and production managers. This paper identifies reliability indicators and presents the steps and effects of implementing selected KPIs (Key Performance Indicators), which aim at the production process. For the machines in which a failure occurred in the surveyed period, technical availability, Mean Times Between Failures (MTBF), Mean Down Time (MDT), technical object readiness, and the downtime coefficient were calculated.
The aim of the study is to use the 8D methodology to solve the production problem, which was the incorrect installation of the rings in the piston designed for excavators. The idea of the method used is to correctly identify the causes of the problem and implement corrective actions to prevent recurrence of the problem. In order to detect as many potential causes of non-compliance as possible, the working team conducted brainstorming sessions and then developed the Ishikawa diagram. Team members found that the most common source of the problem was human error. In order to eliminate it, it was decided to carry out a series of training courses and to additionally equip assembly stations. The presented methodology of solving quality problems can be implied in every production company.
The allocation of production tasks to specific production resources is an important part of preparing the manufacturing process. The amount of profit and costs incurred depends on this division. The efficiency of production resources depends not only on the technologies used, but also on the tasks that will be carried out on them. Therefore, the management of machine efficiency includes both an evaluation (analytical and assessment undertaking, e.g. OEE) and planning activities aimed at maximizing the efficiency of machines by appropriately assigning production tasks to them.
The article presents the problem of the allocation of production of various products to various production resources, including the efficiency of the use of machines and devices, emphasizing the possibilities of undertaking optimization actions in the cost management process. A mathematical model was formulated for this issue. An algorithm solving the problem of allocation of production tasks is presented. The solution was obtained using the Octave computing environment.
Quality of life is an ambiguous concept with a medical, sociological and economic dimension, as well as psychological, the most subjective one. Physical activity is considered one of the most important elements of a healthy lifestyle and a factor that determines the physical and mental health of an individual. The article presents the issue of physical activity in the aspect of quality of life management. It was found that respondents notice a very large relationship between sport and quality of life. The authors showed that it is very important in the quality of life management aspect not only to promote physical culture, but also to develop the habit of practicing it.
Silumins are one of the most popular group among aluminum casting alloys. They are characterized by good mechanical and casting properties, low density, good electric and thermal conductivity, a low degree of contraction, good corrosion resistance and a relatively low melting temperature.
The mechanical properties of hypoeutectic silumins can be improved through chemical modification as well as traditional or technological processing. Modification improves the mechanical properties of alloys through grain refinement. The effect of treatment has been given a lot of information first of all about microstructure and mechanical properties. This study presents the results of treatment of an Al-7%SiMg alloy with composition CuAl10Fe3Mn2 (as a powder) + (Al-7%SiMg + CuAl10Fe3Mn2) (as a powder) + (Al-7%SiMg + CuAl10Fe3Mn2) (in the form of a rod) in three different ranges. The experiments were conducted following a factor design 23 for 3 independent variables. The main addition was aluminum bronze, as well as clear or melted with raw alloy. The influence of the analyzed modifiers on the microstructure and mechanical properties of the processed alloy was presented in graphs. The modification of a hypoeutectic Al-7%SiMg alloy improved the alloy’s properties. The results of the tests indicate that the mechanical properties of the modified alloy are determined by the components introduced to the alloy.
More and more people decide to use e-shops to buy every-day products. Some people do it once a week, others a few times a year. Different customers buy different products. What’s more, it can be noticed that the popularity of e-shops is growing every year. It is influenced by many factors, including lack of time, rush, high competition, convenience of shopping. Due to the appearance of the COVID-19 pandemic, which paralyzed practically the whole world, locked families in homes, customers started buying selected food, cosmetics and chemical products in stationery shops. Many restrictions have been introduced, including shopping restrictions. Many people chose e-shops instead of stationery shops. The purpose of the paper was to check whether the appearance of the COVID-19 pandemic had somehow changed the shopping habits of e-shops’ customers. The survey created for of this article was used during the research.
Meeting the required quality level of products taking into account customer requirements is the essence of thriving enterprises. In this context, it is necessary to make decisions that take into account mentioned the quality level but also the cost aspect relevant to both customer and producer. It was concluded that it is possible to make analyse in which connected the quality level with the cost aspect will condition the make the best choice. Therefore, the aim of work was to propose the pro-quality method of choice by using the ordered fuzzy numbers connected with cost-quality analysis (AKJ). The subject of the study were machines used in pad printing technique, so-called pad print, which choice resulted from their problematic choice to specific and often variable working conditions. As part of the method by using ordered fuzzy numbers, using the Fuzzy TOPSIS method (The Technique for Order of Preference by Similarity to Ideal Solution) the most favorable machine by quality was determined. Subsequently, a pro-quality machine choice was made, and this choice combined the obtained quality level with the purchase cost through the use of cost-quality analysis. The proposed method is some kind of new approach to making the best decision, where the aspect of quality with the cost was connected. Therefore, the proposed method can be used to solve different types of decision problems in production and services enterprises.