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EN
The paper aims to show the possibilities of using modern information technologies in production management. Successive stages of production process preparation and implementation are characterized. Information technologies that are currently being implemented in manufacturing enterprises are discussed. The focus was on the part of the process related to the product's manufacture. The paper presents the concepts of two methodological approaches to the adoption of modern information technologies: the top-down approach and the bottom-up approach. The successive stages of each of these approaches are discussed. The advantage of the top-down approach is the ability to comprehensively implement various technologies, and the disadvantage is the significant level of resource commitment. The advantage of the bottom-up approach is the high efficiency of the proposed solution, and the disadvantage is the limitation of application to projects of limited size. The proposed approaches have been verified using the example of two companies: the automotive and the control automation industries. There are correlations between the choice of the methodology used and the type and extent of implementation of the technology in question. The study's key conclusion is that both approaches are applicable in practice. The most important thing in the decision-making phase is to identify the barriers and constraints related to the organization's maturity to use a given technology. Enterprises can use the study results to help them prepare for their digital transformation.
EN
Purpose: The paper aims to identify how and where elements of digital transformation of activities implemented in enterprises can increase the resilience of the production system to pandemic threats. Design/methodology/approach: The paper presents the selected results of a survey conducted using the mixed-mode CATI and CAWI on a representative group of 600 manufacturing enterprises in Poland. An analysis of measures used in the case of COVID-19 infections in the company to support business continuity and enhance resilience was carried out. A quantitative evaluation of the collected data, oriented to identify the level of application of emergency response measures, was conducted, including the support of statistical tools (Statistica software). Findings: The study identified dozens of different measures implemented in manufacturing enterprises. Among the measures studied, there were those related to automation and digitalization of activities in the organization of production processes. The data analysis showed that there were significant correlations between the type of measures used, as well as the characteristics of the enterprises, and the production processes implemented in them. Research limitations/implications: Future studies should also include companies with a high degree of automation and digitization of production. In addition to descriptive analysis, a quantitative-statistical approach should be used. Practical implications: On the practical side, it was pointed out how and where elements of digital transformation of activities implemented in enterprises can increase the resilience of the production system to pandemic threats. Digitization and automation measures should be used by managers to support the implementation of production processes also in the context of improving the efficiency of enterprises. Social implications: Enterprises can use the study results to improve business continuity policies and preparing for threats similar to the COVID-19 pandemic. Originality/value: The novelty of the survey is the comprehensive assessment of the use of solutions from the ICT area in manufacturing enterprises, analyzed in different cross sections (size, industry, occurrence of the COVID-19 case).
EN
Make-To-Stock (MTS) and Make-To-Order (MTO) are the two traditional strategies in production management. In the case of the MTS there is a growing demand for a new approach, which is called Make-To-Availability (MTA) strategy. The paper characterizes and compares the MTS and MTA strategies. The comparative analysis based, among others, on computational experiments carried out in a computer program developed in Microsoft Visual Studio 2017 Environment was presented. The models have been prepared for both strategies with the same assumptions: external conditions (market demand) and internal conditions (structure of the production process). The investigation of how the strategies respond to various scenarios of demand intensity was done. The simulation models were prepared and validated for the case of the production line in one of the industrial automation company. The research shows that the use of the MTA strategy in the majority of cases gives much better results than the use of the MTS strategy due to the minimization of storage costs and the costs of non-fulfillment of the customers’ demand. The directions for further research were also presented.
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