Management optimizing the costs and duration time of the process in the production system

Krynke, Marek

doi:10.30657/pea.2021.27.21

Cited by 24 publications

(20 citation statements)

References 34 publications

(32 reference statements)

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“…2. An increase in economic autonomy of a subject results in growth of personal interest of workers, which in turn leads to a decrease in expenses and an increase in labor output including optimization of all types of resources [28]. To assess the influence of all identified factors on the efficiency of work of MRO service units expert opinion poll has been carried out.…”

Section: Resultsmentioning

confidence: 99%

Factors, Increasing the Efficiency of Work of Maintenance, Repair and Operation Units of Industrial Enterprises

Krynke

Ivanova

Revenko

2022

Management Systems in Production Engineering

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The article contains the analysis of factors influencing the efficiency of work of equipment maintenance, repair and operation (MRO) units of industrial enterprises. We have systematized various classifications of these factors, which were proposed in economic literature by different authors. We have divided the factors into following groups: general and local; primary and secondary; external and internal; major and non-essential; direct and oblique; reducing and boosting the expenses on equipment MRO and repair cost; production and non-production; depending on management and independent; economic, operation, organization ones; structural and production-technical ones; which are interconnected. It has been proposed to classify factors influencing the efficiency of equipment MRO units into five groups: economic, exploitation, organization, production-technical and structural ones. Using expert evaluation method, the factors have been divided into three groups according to degree of their influence on efficiency of work of equipment MRO units of industrial enterprises. The priority was given to the factors of the first group, having decisive influence on formation of efficiency. The most significant factors have been identified. In opinion of experts, these factors include: method of organization of work of equipment MRO service; level of economic autonomy of MRO enterprise in terms of organization of equipment MRO; financial and market situation of enterprise; the degree of repair complexity of production equipment.

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Section: Resultsmentioning

confidence: 99%

Factors, Increasing the Efficiency of Work of Maintenance, Repair and Operation Units of Industrial Enterprises

Krynke

Ivanova

Revenko

2022

Management Systems in Production Engineering

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“…However, once with the start of the industrial revolution, and in particular with the introduction of the assembly line, production transformed into a complex system consisting of many pieces of equipment, many operations and activities, and involving many people interacting with each other [47][48][49][50]. Optimizing the process using the simulation method means finding the best configuration of input variables that will reflect the highest efficiency and stability of the process [51,52]. And the optimization itself usually consists in maximizing or minimizing the selected parameter [53][54].…”

Section: The Essence Of Modelling and Simulationmentioning

confidence: 99%

The use of Computer Simulation Techniques in Production Management

KRYNKE

2022

Terotechnology XII

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Abstract. The purpose of this paper is to present the possibility of using computer simulation techniques to optimize production processes. The paper presents a simulation model, which is the basis for solving decision problems, in particular regarding the determination of alternative scenarios for the allocation of production resources. The simulation model was built in FlexSim. It consists of a finite set of decision variables and constraints that result from the analyzed technological process. The basic stages of creating a simulation model are discussed and the results of the simulation are presented.

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“…A smart sustainable approach within the CMFM cluster's activities covers a wide range of economic, social, and environmental issues, including the reduction of lead times; overstocking of cluster enterprises and CLN4.0; freight traffic flows under supply uncertainty by the CCs, which are selected in accordance with their delivery points; the compatibility of the transported freights; and their full handling [5,49,80]. The implementation of such a smart sustainable approach in the framework of these problems is associated with the use of integrated production and SC planning and scheduling [81][82][83] and smart SCM technologies [40,48,76], as well as smart city technologies and indicators for city manufacturing and freight logistics [3,24,46]. Initially, the integrated production and SC planning of the CMFM cluster's enterprises are carried out, considering the compatibility with already planned SCs, both within the cluster and its CLN4.0, and within the megalopolis.…”

Section: Managerial Implicationsmentioning

confidence: 99%

Smart Sustainable City Manufacturing and Logistics: A Framework for City Logistics Node 4.0 Operations

Deja

Dzhuguryan

et al. 2021

Energies

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The location of smart sustainable city multi-floor manufacturing (CMFM) directly in the residential area of a megapolis reduces the delivery time of goods to consumers, has a favorable effect on urban traffic and the environment, and contributes to the rational use of land resources. An important factor in the transformation of a smart city is the development of CMFM clusters and their city logistics nodes (CLNs); the key elements of the logistics system of a megapolis. The primary goal of this study was to examine the role of the CLN4.0, as a lead sustainability and smart service provider of a CMFM cluster within the Industry 4.0 paradigm, as well as its value in the system of logistics facilities and networks of a megalopolis. This paper presents an innovative model of a CLN4.0 under supply uncertainty using a material flow analysis (MFA) methodology, which allows for specific parameters of throughput capacity within the CMFM cluster and the management of supply chains (SCs) under uncertainty. The model was verified based on a case study (7th scenario) for various frameworks of a multi-floor CLN4.0. The validity of using a group of virtual CLNs4.0 to support the balanced operation of these framework operations under uncertainty, due to an uneven production workload of CMFM clusters, is discussed. The results may be useful for the decision-making and planning processes associated with supply chain management (SCM) within CMFM clusters in a megapolis.

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Management optimizing the costs and duration time of the process in the production system

Cited by 24 publications

References 34 publications

Factors, Increasing the Efficiency of Work of Maintenance, Repair and Operation Units of Industrial Enterprises

Factors, Increasing the Efficiency of Work of Maintenance, Repair and Operation Units of Industrial Enterprises

The use of Computer Simulation Techniques in Production Management

Smart Sustainable City Manufacturing and Logistics: A Framework for City Logistics Node 4.0 Operations

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