<abstract><title style='display:none'>Abstract</title>Presented paper concentrate on problems connected with the function of operation management within the company. Operation function is responsible for producing products and delivering services. But it needs support and input from others areas of the organization. The aim of the paper it to analyze on the basis on inter-national the main functions of operation management. We can distinguish seven main functions of operation management in the industrial enterprise: planning, scheduling, purchasing, controlling, quality control and inventory control. In each of those fields operations managers should conduct many decision affecting of-organization effectiveness.</abstract>

Main functions of operation management

<abstract><title style='display:none'>Abstract</title>The paper presents a case study of the practical use of Deming cycle in a manufacturing company, from the plastics processing industry, from the sector of small and medium-sized enterprises. The paper is a study of literature in the field of continuous improvement and characterized by a cycle of continuous improvement, called the Deming cycle, or PDCA cycle. This cycle was used as a solution to quality problems which occurred during production of photo frames: discolorations and scorches on the surface of the frame. When measures were introduced to reduce the number of nonconformities, a decrease by more than 60% was observed.</abstract>

PDCA cycle as a part of continuous improvement in the production company - a case study

<abstract><title style='display:none'>Abstract</title> Behaviour-Based Safety (BBS) is a popular approach to enhancing occupational safety, with many researchers reporting successes of implementing BBS programs. There are, however, studies that see this approach as illusory, bringing more harm than good. The first goal of this article is to present an overview of literature providing both evidence and elaboration of implementing BBS programs, highlighting both positive and negative views of the approach. The second goal is to discuss the perception of the method, based on a literature review and authors’ own research.</abstract>

Behaviour Based Safety (BBS) - Advantages and Criticism

<abstract><title style='display:none'>Abstract</title>The concept of lean management in an organization, improving products and processes using the Lean Manufacturing concept, is discussed in this paper. Striving for excellence is the key factor in maintaining competitiveness on the market. Only organizations able to adapt to changing environmental conditions faster than others achieve an advantage, and the management in line with the Lean Manufacturing philosophy is de facto change management. In this paper, important factors in the ceramic industry, which should be taken into account when implementing Lean Manufacturing are characterized. Important factors affecting the implementation of lean tools include, such as: the size of the enterprise, involvement of employees, knowledge about the Lean concept, technological factor, type and variety of the product line, as well as the specificity of the ceramic industry. The greatest opportunity associated with the implementation of Lean is to increase the competitiveness of the company obtained through: meeting the quality and economic expectations of customers. The greatest opportunity associated with implementation of the Lean is to increase competitiveness of the company obtained through: meeting the quality and economic expectations of their customers. Practice shows, however, that despite the simplicity of rules and tools, few organizations manage to achieve the level of excellence of the pioneer of this concept, the Japanese Toyota Corporation.</abstract>

Barriers and opportunities in implementation of Lean Manufacturing tools in the ceramic industry

<abstract>
<title style='display:none'>Abstract</title>
Green logistics is the part of the activities of an enterprise aimed at measuring and minimizing the impact of logistics activities on the environment. Such actions are dictated by the possibility of achieving a competitive advantage in the market, because clients require it. Transport is a particularly important area with a huge impact on the environment, because it is identified as the fastest growing source of greenhouse gas emissions. Green transport is low-emission and ecological travelling mode. The goals of green transport are not only to reduce greenhouse gas emissions, air pollution, noise and space use, but also to reduce poverty and promote economic growth. Transport is considered green when it supports environmental sustainability, but also supports the other two pillars of sustainable development, i.e. economic and social. This paper discusses the application of the concept of "green" logistics and "green" technologies in transport in the transportation process. The modern requirements for transport in the field of environmental safety and compliance with environmental requirements both on the part of customers and on the part of states are considered.
</abstract>

Green logistics - modern transportation process technology

<abstract><title style='display:none'>Abstract</title>To improve the reputation and customer loyalty, a benchmarking analysis is being carried out, which influences the perception of the service quality for banks. With the expansion of competitive interactions, the results can serve as a strategic tool to gain competitive advantage and customer satisfaction. Banks reveal the expectations and expectations of customers regarding the quality of selected services. The process creates and expands its reputation and builds customer loyalty. This research aims to compare the perception of the quality of four leading banks with logical comparisons.</abstract>

Analysis of Gap Measurement of Various Dimensions of SERVAQUAL Model in context to Indian Banks

<abstract>
<title style='display:none'>Abstract</title>
Using different interaction channels within open innovation partnerships holds the potential to enhance the chance of success in production sectors. However, our comprehension of how open innovation partnerships are affected by varying combinations of interaction channels, and how this corelates with their level of open innovation output, remains limited. There are discrepancies in the current literature regarding the individual and combined effects of open innovation interaction channels. Our study aims to resolve these inconsistencies by using a configurational perspective, which allows for the identification of multiple successful pathways. Employing fuzzy-set Qualitative Comparative Analysis (fsQCA) to a dataset of European open innovation partnerships in production sectors, we uncover specific combinations of interaction channels that explain high levels of innovation outcomes. Subsequently, we distinguish between two successful pathways. Notably, we observe that the relationship between interaction channels is causally complex, high engagement in open innovation may not guarantee favorable innovation outcomes. This finding highlights the intricate causal dynamics at play. Thus, our study is a significant step toward reconciling the disparate perspectives in the literature concerning the impact of interaction channels on open innovation output.
</abstract>

Going all in or spreading your bet: a configurational perspective on open innovation interaction channels in production sectors

<abstract>
<title style='display:none'>Abstract</title>
There is a paradigm shift occurring in organizations towards sustainable production through cleaner production strategies. This cleaner production concept has been proven to be cost-effective, result-oriented, environment-savvy and provides the organizations a cutting edge over their counterparts. However, there is a lack of awareness about cleaner production practices in Iraq while the current study analyzed one of the most important factories in Iraq for sugar production to understand the factors required for successful application of cleaner production strategy and the challenges to be expected. In this study, the researchers followed an exploratory research approach. For this study, a questionnaire was designed, validated and distributed randomly among 700 potential respondents working in various departments of the organization under study. Out of the total responses, 482 responses were considered and SEM-PLS analysis was conducted. The cleaner production strategies were applied through nine dimensions and the relationship between the performance of the factory and sustainable supply chain was found to be prominent. With a few limitations such as the choice of a single factory, weak relationship between the variables identified from hypothesis testing, the study is a first-of-its-kind in this domain, especially in dealing with sugar refineries. Based on the outcomes, policy recommendations were made to the decision makers and the government. It can be concluded that the application of modern technologies and effective resource management can help in achieving the goal of the study.
</abstract>

The impact of cleaner production strategy on Sustainable supply chain performance

<abstract>
<title style='display:none'>Abstract</title>
The small-scale industries are considered a major sector of economic investment in the world. Small-scale industries typically suffer from problems such as poor management systems, poor safety training, difficulties in complying with legislation, and absence of safety performance. This study aimed to measure the levels of heat stress and noise and assess the safety performance in small-scale industries. Twenty industrial workshops were selected representing four different types of small-scale industries (foundries, automotive repair, metal processing, and aluminium processing) in Alexandria, Egypt. Inside each selected workshop, both levels of heat stress and noise were measured by calibrated instruments. A pre-designed checklist evaluated the adequacy of the safety performance. Noise levels ranged between 86.4 ± 2.0 and 89.7 ± 2.7 dB exceeding the recommended value (85 dB). In the most studied workshops, the levels of heat stress were relatively high, especially in the foundries. Besides, the safety practices at all these workshops were poor or very poor. The most obvious safety problems included poor housekeeping, lack of PPEs, inadequate illumination, absence of emergency exits, and insufficient fire extinguishers. The results emphasize the responsibility of the local authorities to give more attention and interest to this type of industry.
</abstract>

Workplace hazards and safety practices in the small-scale industries

<abstract>
<title style='display:none'>Abstract</title>
International trade in herbs and spices is showing steady growth. This may contribute to the deterioration of their quality (complex supply chains) and the search for alternative, cheaper sources (adulteration). This paper presents the results of quality control of culinary herbs available on the European markets. Eight spices were evaluated: savory, lovage, basil, thyme, marjoram, oregano, fennel, mustard. The tests were performed (from January 2022 till January 2023) for three production batches from five different suppliers, and analyzed such parameters as aroma, overall appearance, impurity content, net weight, moisture content, ash content and essential oils. The analyzed parameters are the basic quality characteristics controlled by institutions overseeing the quality of foodstuffs. The determinations were made on the basis of European standards. The results show deviations from the standards especially in the content of essential oils. Slight exceedances of the standards were also recorded for water and total ash content. On the other hand, for such parameters as net weight, impurity content, general appearance or odor, no overstepping of acceptable standards was recorded.
</abstract>

Analysis of selected quality parameters of dried herbs available on the European market

<abstract>
<title style='display:none'>Abstract</title>
Boiling heat transfer can be enhanced when the heater’s surface morphology is altered. The paper discusses the use of the laser beam to produce efficient heat exchangers. Two types of samples were investigated with distilled water and ethyl alcohol as boiling agents. The specimens differed with the height of the microfins: 0.19 mm and 0.89 mm. It was observed that both of them enhanced boiling heat transfer in comparison to the smooth reference surface. However, the sample with higher microfins performed better, especially in the region of low temperature differences, where the heat flux was about three times higher than in the case of the smaller microfins. The comparison of the experimental data with selected models of boiling heat transfer revealed significant differences with regard to the heat flux. The laser-made samples dissipated larger heat fluxes than it could be anticipated according to the models. It might be linked with high surface roughness of the area between the microfins, generated as a result of the laser beam interaction with the surface.
</abstract>

Application of laser treatment technology for boiling heat transfer augmentation

<abstract>
<title style='display:none'>Abstract</title>
Knowing the material properties is of a crucial importance when planning to manufacture some structure. That is true for the steel structures, as well. Thus, for the proper planning of a certain steel part or a structure production, one must be aware of the properties of the material, to be able to make a qualified decision, which material should be used. Considering that the manufacturing of steel products is constantly growing in various branches of industry and engineering, the problem of predicting the material properties, needed to satisfy the requirements for the certain part efficient and reliable functioning, becomes an imperative in the design process. A method of predicting four material properties of the two stainless steels, by use of the artificial neural network (ANN) is presented in this article. Those properties were predicted based on the particular steels’ known chemical compositions and the corresponding material properties available in the Cambridge Educational System EDU PACK 2010 software, using neural network module of MathWorks Matlab. The method was verified by comparing the values of the material properties predicted by this method to known values of properties for the two stainless steels, X5CrNi18-10 (AISI 304), X5CrNiMo17-12-2 (AISI 316). The difference between the two sets of values was below 5% and, in some cases, even negligible.
</abstract>

Predicting the mechanical properties of stainless steels using Artificial Neural Networks

<abstract><title style='display:none'>Abstract</title>The introduction of solutions conventionally called Industry 4.0 to the industry resulted in the need to make many changes in the traditional procedures of industrial data analysis based on the DOE (Design of Experiments) methodology. The increase in the number of controlled and observed factors considered, the intensity of the data stream and the size of the analyzed datasets revealed the shortcomings of the existing procedures. Modifying procedures by adapting Big Data solutions and data-driven methods is becoming an increasingly pressing need. The article presents the current methods of DOE, considers the existing problems caused by the introduction of mass automation and data integration under Industry 4.0, and indicates the most promising areas in which to look for possible problem solutions.</abstract>

Challenges for the DOE methodology related to the introduction of Industry 4.0

<abstract>
<title style='display:none'>Abstract</title>
The agri-food sector contributes significantly to economic and social advancements globally despite numerous challenges such as food safety and security, demand and supply gaps, product quality, traceability, etc. Digital technologies offer effective and sustainable ways to these challenges through reduced human interference and improved data-accuracy. Innovations led by digital transformations in the agri-food supply chains (AFSCs) are the main aim of ‘Agri-Food 4.0’. This brings significant transformations in the agri-food sector by reducing food wastage, real-time product monitoring, reducing scalability issues, etc. This paper presents a systematic review of the innovations in the agri-food for digital technologies such as internet-of-things, artificial intelligence, big data, RFID, robotics, block-chain technology, etc. The employment of these technologies from the ‘farm to fork’ along AFSC emphasizes a review of 159 articles solicited from different sources. This paper also highlights digitization in developing smart, sensible, and sustainable agri-food supply chain systems.
</abstract>

Agri-Food 4.0 and Innovations: Revamping the Supply Chain Operations

<abstract><title style='display:none'>Abstract</title>The following paper concentrates on some problems resulting from the use of Quality Function Deployment method in industrial enterprises. It is not an easy task although the method itself has many advantages. The aim of the paper is to analyse basic international literature as well as the main advantages and limitations of the Quality Function Deployment</abstract>

The use of QFD method advantages and limitation

<abstract><title style='display:none'>Abstract</title>In recent decades, decision support system has been constantly growing in the field of transportation planning. PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) method is an efficient decision-making support deployed in case of a finite number of criteria. It provides a partial ranking through PROMETHEE I and a complete ranking with PROMETHEE II. This outranking methodology is characterized by the elimination of scale effects between criteria and managing incomparability with the comprehensive ranking. However, PROMETHEE does not provide guidance to assign weights to criteria and assumes that decision makers are able to allocate weights. This review presents an overview of PROMETHEE models applied in transportation and points out the found gaps in literature.</abstract>

Review of PROMETHEE method in transportation

<abstract>
<title style='display:none'>Abstract</title>
The rapid development of the manufacturing sector has been causing industrial effluents pollution. The practice of environmental regulation in the emerging economy focused on the externalities impact of industrialization. In conjunction with the issue, this study examines the effect of formal and informal regulation on the industrial effluent act and the firm compliance behavior in Malaysia. This quantitative study uses a survey questionnaire (structured) and involved 42 factories of three industries, namely food and beverages, textiles, and paper in Penang, Kedah, and Perlis. The data were analyzed using non-parametric tests: The Chi-Square, Mann-Whitney, and Spearman’s Rho. This study uses the firm behavior theory as the framework, and our non-parametric analyses showed that the traditional enforcement and fined probability could significantly affect compliance levels. We also find the market, consumer, competitor, and investor pressure positively influence firm compliance. The empirical results suggest effective enforcement of environmental regulation and the role of non-regulation must be empowered as a support mechanism for pollution control.
</abstract>

The Effect of Formal and Informal Regulations on Industrial Effluents and Firm Compliance Behavior in Malaysia

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 The Journal of "Production Engineering Archives" has been published by the Publishing Office of Quality and Production Managers Association...