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Abstract

The industrial revolution taking place since the 18th century has brought the global economies to the stage of mass production, mass industrialization and spreading ideas connected with its efficiency. The most famous of its kind is Fordism and its modern variations called PostFordism or Neo-Fordism. We can still see traditional way of producing things in some parts of the world, and the leading economies are using Ford’s ideas or the modifications of the Ford’s concepts. But there is a question about the place of these models in the modern economy, especially because mass-production causes mass-waste and modern societies has woken up to the reality of the global pollution, climate change or just the simple fact that the amount of the raw materials is limited. The social mood is slowly changing so there should be a change to the way we produce and consume things as well. There is a question: can we proceed within existing models or should we think outside the box so we can invent more suitable way of looking at efficiency and effectiveness. The objective of this paper is to contribute to the discussion about the future of how are we going to produce things. It is based on the literature review considering Fordism and its variations, Product Life Cycle facing issues like pollution, massive waste and changes in modern economy, as well as on the case study of implementing waste reduction activities in the product’ design phase in the industrial plant based in one of the EU countries – Poland.
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Authors and Affiliations

Mariusz Bednarek
1 2
Aneta Parkes
3

  1. Wyższa Szkoła Bankowa, Warszawa, Poland
  2. Universidad Autonoma de Chile, Temuco, Chile
  3. Społeczna Akademia Nauk, Łódź, Poland
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Abstract

The main purpose of this article is to present an author’s methodology of production levelling

and to show the impact of levelling on the time during which the product passes

through the process and on staff performance. The article presents the analysis of literature

concerning the method of improving the production process, especially taking production

levelling into consideration. The authors focussed on the definition and methodologies of

production levelling. A diagram of interrelations showing determinants and efficiency measures

of production levelling as well as an author’s production levelling methodology have

been presented. An example of the implementation of production levelling in one of the departments

of a company manufacturing surgical instruments has also been shown. Analysis

of the current state, stages of implementation and end effects have been presented. Attention

was focussed on the time during which the product passes through the process and on staff

performance.

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Authors and Affiliations

Paulina Rewers
Mariusz Bożek
Wojciech Kulus
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Abstract

The activities of the organisation concentrate mainly on meeting customers’ requirements. For this purpose, various activities are being conducted for customer satisfaction surveys. In this context, it is important to predict the quality of the product and the changes in the cost of the purchase product. The purpose of this study is to propose a method for predicting the quality level of a product and change the cost of the product considering current customers’ requirements for a combination of product feature states and pro-quality changes. The method includes the calculation of the quality level of the product using the punctationformalised method, where the level depends on a combination of values of states (parameters) attributes of the product, that is, current and modified. The method was tested as an example of a household vacuum cleaner for which 20 attributes were determined. According to the Pareto rule (20/80), the four product attributes important for customers were selected. Thereafter, for important attributes, possible combinations of the values of these attributes were determined. In addition, an algorithm for determining the possible combinations of product attribute states in the MATLAB program was developed. Additionally, the change in the current cost of the product considering the change in the quality level was estimated. The product cost changes were determined based on the actual cost of the product and the current product quality level. The method allows the determination of all combinations of values of state attributes of the product, such that it is possible to take appropriate improvement actions both in terms of quality and cost. The results from the method allow the prediction of product satisfaction for customers and they are favourable in terms of production cost. Therefore, it is possible to design the product in advance and support the producer in preparatory activities.
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Authors and Affiliations

Dominika Siwiec
1
ORCID: ORCID
Andrzej Pacana
1
ORCID: ORCID

  1. Rzeszow University of Technology, Faculty of Mechanical Engineering and Aeronautics, Poland
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Abstract

The Decision Makers in the production organizations, which produce multiple different products

at the same time, set the priorities for what the organization desires to produce. This

priority is sorting the products in order to schedule the production based on these priorities.

The production organizations receive a huge number of orders from different customers, each

order contains many products with close delivery dates. The organization aims to produce

multiple different products at the same time, in order to satisfy all customers by delivering

all orders at the right time. This study will propose a method to prioritize the production

to produce a multiple different products at the same time, the production lines will produce

multiple different products. This method will prioritize the products using Multi Criteria

Decision Making technique, and prioritize the production operations using a new algorithm

called Algorithm for Prioritization of Production Operations. In addition, the study will provide

an algorithm for production scheduling using the production priority calculated based

on the proposed method. The study will also compare the scheduling based on the priority

rules and based on the proposed method through total production time and the variety of

products produced.

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Authors and Affiliations

Rami Mokao
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Abstract

In this paper a 600 MW oxy-type coal unit with a pulverized bed boiler and a membrane-cryogenic oxygen separator and carbon capture installation was analyzed. A membrane-cryogenic oxygen separation installation consists of a membrane module and two cryogenic distillation columns. In this system oxygen is produced with the purity equal to 95%. Installation of carbon capture was based on the physical separation method and allows to reduce the CO2emission by 90%. In this work the influence of the main parameter of the membrane process – the selectivity coefficient, on the efficiency of the coal unit was presented. The economic analysis with the use of the break-even point method was carried out. The economic calculations were realized in view of the break-even price of electricity depending on a coal unit availability.

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Authors and Affiliations

Janusz Kotowicz
Sylwia Berdowska
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Abstract

Agriculture is a signifi cant source of gaseous pollutants such as ammonia, methane, nitrous oxide and volatile organic compounds. Ammonia is particularly important due to the high emission and local, as well as global impact on the environment. The release of NH3 is one of the main ways of nitrogen emission to the atmosphere and it contributes to its subsequent deposition. The aim of the study was to analyze ammonia emissions from animal production in Poland in 2005–2017, its regional diversity and possibilities of its reduction in agriculture. The ammonia emission was calculated for the animal production groups according to the NFR classifi cation. The values of ammonia emission were calculated based on ammonia emission factors used by KOBIZE, in accordance with the EMEP/EEA methods. In 2017, the NH3 emission from Polish agriculture amounted 288 Gg and it accounted for 96% of the emission in 2005. Ammonia emission from livestock production, in 2005–2017, on average accounted for 79.8% of agricultural emissions. The largest share had the cattle (51%) and swine (30%) production. The NH3 emissions differed strongly between provinces. The emission density (kg NH3·km-2·year-1) in provinces with intensive livestock production was about 5.5 times higher than in regions, where livestock production was the lowest. The mitigation strategies should be implemented primarily in provinces where reduction potential is the largest. The assessment of the reduction potential should take into account the NH3 emission per 1 km2 and the low

NH3 emission technologies, which are already applied in the regions.

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Authors and Affiliations

Paulina Mielcarek-Bocheńska
Wojciech Rzeźnik
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Abstract

Finite fossil fuel resources, as well as the instability of renewable energy production, make the sustainable management of energy production and consumption some of the key challenges of the 21st century. It also involves threats to the state of the natural environment, among others due to the negative impact of energy on the climate. In such a situation, one of the methods of improving the efficiency of energy management – both on the micro (dispersed energy) and macro (power system) scale, may be innovative technological solutions that enable energy storage. Their effective implementation will allow it to be collected during periods of overproduction and to be used in situations of scarcity. These challenges cannot be overestimated - modern science has a challenge to solve various types of problems related to storage, including the technology used or the control/ /management of energy storage. Heat storage technologies, on which research works are carried out regarding both storage based on a medium such as water, as well as storage using thermochemical transformations or phase-change materials. They give a wide range of applications and improve the efficiency of energy systems on both the macro and micro scale. Of course, the technological properties and economic parameters have an impact on the application of the chosen technology. The article presents a comparison of storage parameters or heat storage methods based on different materials with specification of their work parameters or operating costs.

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Authors and Affiliations

Paweł Jastrzębski
Piotr W. Saługa
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Abstract

In the era of the fight against global warming and in light of the search for energy with the least possible impact on the environment, interest in hydrogen has become a natural direction of development. Striving for a zero-emission Europe by 2050, the EU promotes low-emission and ultimately emission-free hydrogen for the widest possible use in the economy. Poland has developed a strategic document specifying the necessary activities for the use of hydrogen in the economy, which should at the same time maintain its competitiveness. Poland is currently the third producer of hydrogen in the European Union, which enables strategic thinking about maintaining Poland as a leading player on the hydrogen market in the long term. Currently, hydrogen in Poland is produced by (usually large) state-owned enterprises for their own needs with only a small margin of its resale. This is conventional hydrogen that is mainly obtained from natural gas. Therefore, it is difficult to talk about the hydrogen market, which must develop so that this raw material can be widely used in many branches of the modern economy. However, this requires taking a number of legislative, research and development and investment activities, as well as directing the national energy transformation to renewable energy sources, which may ultimately reduce the costs of pure hydrogen production. A number of actions have been taken, but the delay in legislative actions is slowing down the creation of the hydrogen market and is limiting the interest of private businesses in engaging in transformation activities.
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Authors and Affiliations

Aleksandra Komorowska
1
ORCID: ORCID
Eugeniusz Mokrzycki
1
ORCID: ORCID
Lidia Gawlik
1
ORCID: ORCID

  1. Mineral and Energy Economy Research Institute PAS, Poland
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Abstract

The article is to present the application of genetic algorithm in production scheduling in a production company. In the research work the assumptions of the methodology were described and the operation of the proposed genetic algorithm was presented in details. Genetic algorithms are useful in complex large scale combinatorial optimisation tasks and in the engineering tasks with numerous limitations in the production engineering. Moreover, they are more reliable than the existing direct search algorithms. The research is focused on the effectivity improvement and on the methodology of scheduling of a manufacturing cell work. The genetic algorithm used in the work appeared to be robust and fast in finding accurate solutions. It was shown by experiment that using this method enables obtaining schedules suitable for a model. It
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Authors and Affiliations

Marcin Matuszny
1
ORCID: ORCID

  1. University of Bielsko-Biala, Bielsko-Biała, Poland
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Abstract

The last two decades have brought a significant modernization in methods of cultivation in greenhouses. Soilless cultures, isolated from soils, have become a common practice, similarly as fertigation (fertilization + irrigation) installations, although most of them are applied in the open system (with no recirculation), where excess nutrient solution is removed straight to soil. This situation was the reason why it was decided to conduct studies, extended over a period of many years, on the estimation of environmental pollution caused by discharged drainage waters containing mineral fertilizers in economically important cultures in Poland (anthurium, tomato, cucumber). On the basis of the chemical composition of drainage waters and amounts of nutrient solution spillway from culture beds data were estimated concerning pollution of the soil medium by the nutrient solution. The level of pollution was dependent on nutrient requirements of crops and the length of the vegetation period. The highest environmental pollution is caused by intensive tomato growing (in kg·month·ha-1): N-NO3 (up to 245), K (up to 402), Ca (up to 145) and S-SO4 (up to 102). A lesser threat is posed by metal microelements: Fe (up to 2.69), Mn (up to 0.19), Zn (up to 0.52) and Cu (up to 0.09). Lower contamination of the natural environment is generated in cultures with lower nutrient requirements (anthurium) and in the case of culture on organic substrates. With an increase in ecological awareness of producers recirculation systems should be implemented in the production practice, in which drainage waters do not migrate directly to soil, but are repeatedly used to feed crops.

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Authors and Affiliations

T. Kleiber
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Abstract

In this study, batch fermentation of glucose to ethanol by Saccharomyces cerevisiae (ATCC 7754) was carried out using 2.5 dm3 BioFlo®115 bioreactor. The main objective of this study was to investigate the kinetics of ethanol fermentation by means of the non-structured model. The fermentation process was carried out for 72 h. Samples were collected every 4 h and then yeast growth concentration of ethanol and glucose were measured. The mathematical model was composed of three equations, which represented the changes of biomass, substrate and ethanol concentrations. The mathematical model of bioprocess was solved by means of Matlab/SimulinkTM environment. The obtained results from the proposed model showed good agreement with the experimental data, thus it was concluded that this model can be used for the mathematical modeling of ethanol production.

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Authors and Affiliations

Anna Konopacka
Maciej Konopacki
Marian Kordas
Rafał Rakoczy
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Abstract

The purpose of the paper is to present the author’s reflections on the origin and popularity

of various approaches to maintenance and improvement of production processes, their

terminological consistency, understanding, and practical application of their principles. The

author’s reflections are based on his observations made over his many years of activity as

a lecturer and consultant in the area of production engineering and management. It was

shown that there is a need to make scientists and practitioners aware of the relatively large

degree of freedom in defining the scope and way of application of strategies of continuous

improvement. The author’s proposal is to refer to all approaches to maintenance and improvement

of production processes with the title “Strategies of Efficient Action” and all

supporting methods as “Practices of Efficient Action”.

Considerations presented in the paper can be useful in more and more efficiently applying

the power of TQM, Six Sigma, Lean Manufacturing and other strategies of processes

maintenance and improvement in the daily activities of companies.

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Authors and Affiliations

Adam Hamrol
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Abstract

Hornsund and Kongsfjorden are two similar-sized Arctic fjords on the West coast of Spitsbergen. They are influenced by cold coastal Arctic water (Hornsund) and warmer Atlantic water (Kongsfjorden). Environmental conditions affect the timing, quantity, spatial distribution (horizontal and vertical) of spring and summer blooms of protists as well as the taxonomic composition of those assemblages. Here, we compile published data and unpublished own measurement from the past two decades to compare the environmental factors and primary production in two fjord systems. Kongsfjorden is characterized by a deeper euphotic zone, higher biomass and greater proportion of autotrophic species. Hornsund seems to obtain more nutrients due to the extensive seabird colonies and exhibits higher turbidity compared to Kongsfjorden. The annual primary production in the analysed fjords ranges from 48 g C m-2 y-1 in Kongsfjorden to 216 g C m-2 y-1 in Hornsund, with a dominant component of microplankton (90%) followed by macrophytes and microphytobenthos.
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Authors and Affiliations

Zofia T. Smoła
Agnieszka Tatarek
Józef M. Wiktor
Józef M.W. Wiktor
Anna Kubiszyn
Jan M. Węsławski
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Abstract

We propose a Bayesian approach to estimating productive capital stocks and depreciation rates within the production function framework, using annual data on output, employment and investment only. Productive capital stock is a concept related to the input of capital services to production, in contrast to the more common net capital stock estimates, representing market value of fixed assets. We formulate a full Bayesian model and employ it in a series of illustrative empirical examples. We find that parameters of our model, from which the time-path of capital is derived, are weakly identified with the data at hand. Nevertheless, estimation is feasible with the use of prior information on the production function parameters and the characteristics of productivity growth. We show how precision of the estimates can be improved by augmenting the model with an equation for the rate of return.
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Authors and Affiliations

Jakub Boratyński
1
Jacek Osiewalski
2

  1. University of Lodz, Lodz, Poland
  2. Cracow University of Economics, Cracow, Poland
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Abstract

The article presents a methodology for analysing historical gas production data and determining the gas reserves and the petrophysical parameters of a reservoir-aquifer system. These parameters are obtained from a fitting algorithm using production data sets. A forecast of the future field gas production can be created on the calibrated mathematical model basis. The developed method is based on the material balance assumptions and the widely used Fetkovich and van Everdingen-Hurst equations for calculating water influx. To conduct the calculations and analyse production data, the computer application was developed using Python programming language. A user-friendly graphical interface makes the proposed application convenient and intuitive to use. The software was calibrated based on the literature data from the gas field of known parameters and then validated using five case studies of the actual gas fields in the Polish Carpathian Foredeep. From the tests, very high compatibility between the computed and the real field values were obtained. An additional comparison with the commercial program MatBal confirmed the proper functioning of the application.
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Authors and Affiliations

Wojciech Żygas
1
ORCID: ORCID
Jacek Blicharski
1
ORCID: ORCID
Czesław Rybicki
1
ORCID: ORCID

  1. AGH University of Science and Technology, Faculty of Drilling, Oil and Gas, Al. Mickiewicza 30, 30-059 Kraków, Poland
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Abstract

The growth of the global population, urbanization as well as economic and industrial development, affect the continuously increasing demand for mineral aggregates. The current assessed global production of mineral aggregates amounts to 50 billion Mg/year, which statistically approximates 6.5 Mg per an inhabitant of the globe. In terms of consumption volume, water is the only raw material ahead of aggregates. Despite such a great scale, in many countries and regions the extraction and production of aggregates belong to the least regulated sector of human activity. This refers particularly to the countries of A sia, A frica, and North A merica, where both the resources and the extraction of aggregates, particularly of sand and gravels, are either not monitored and registered. It significantly increases the negative impact on the natural environment, due to the destruction of riverbeds and oxbows, coastal erosion, drying up cultivation areas, etc. In the reports, local terminology of aggregates often functions, which makes it difficult to compare them and prepare appropriate balances. In order to regulate the unfavorable situation, one of the main conclusions of the Report (UNEP 2019) is the need of implementing a common requirement to plan and monitor the process of extraction of natural resources. The paper presents the possibility of forecasting the extraction and producing aggregates based on the consumption of cement, i.e. the basic building material. A lthough the analyzed coefficient of mineral aggregate production per unit of cement consumption (production) varies, its advantage is the fact that the production of cement is identified and taken into account in balances of industrial production of the majority of countries, whereas such identification for mineral aggregate production are still lacking.

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Authors and Affiliations

Ireneusz Ryszard Baic
ORCID: ORCID
Wiesław Kozioł
ORCID: ORCID
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Abstract

The article presents the possibility of using the Cobb-Douglas production function for planning in a turbulent environment. A case study was carried out – the Cobb-Douglas function was used to examine the condition of the Polish hard coal mining industry and the progress which has been made after undertaking certain activities aimed at increasing the competitiveness of coal companies over recent years. Only the correct and confirmed identification of the causes of irregularities in the production process can allow for the introduction of effective remedies. The effectiveness of the solutions proposed by the author has been confirmed thanks to the simulation during which the impact of the proposed production strategy on the parameters of the CD function was examined. Three variants of production functions models were created and production productivity rates and marginal substitution rates were determined. The results enabled the verification of the progress of restructuring as well as identification of the origin of the observed problems and comparison of the current state with the results of analyses carried out in previous years. Scenarios of possible trend developments for the factors introduced into the function model in order to present remedial measures that could improve the process of hard coal extraction were created. The scenarios were created using the ARIMA class models. Which scenario is the most favourable was determined. A computer program, created by the author, for optimising the level and use of labor resources at the level of the entire coal company has been presented.

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Authors and Affiliations

Aurelia Rybak
ORCID: ORCID
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Abstract

The main pathogen that deteriorates the quality of rose flowers during the postharvest stage belongs to the fungal genus Botrytis. The chemical products used to control the disease caused by this pathogen have been losing effectiveness due to the appearance of resistance. The present study describes the in vitro and in vivo fungicidal activity of Pelargonium graveolens essential oil and its chemical composition. The essential oil was obtained by hydrodistillation, and the in vitro fungicidal activity was determined by agar diffusion assays, showing 100% of fungal growth inhibition at 250 ppm. In vivo assays were performed on Rosa grandiflora flowers treated with 250 ppm of P. graveolens essential oil, using distillate water as a positive control and the commercial fungicide carbendazim as a negative one. No significant differences were obtained between the treatment with the essential oil and the treatment with the commercial fungicide. The chemical profile of the essential oil was determined by GC-MS. The main compounds detected were geraniol (24.89%), citronellol (19.50%), linalool (10.92%) and γ-eudesmol (8.93%). These results encourage the possible use of P. graveolens essential oil for the control of B. cinerea in rose flowers.
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Authors and Affiliations

María Inés Stegmayer
1
ORCID: ORCID
Norma Hortensia Álvarez
1 2
ORCID: ORCID
Néstor Gaspar Sager
2
ORCID: ORCID
Marcela Alejandra Buyatti
2
ORCID: ORCID
Marcos Gabriel Derita
1 3
ORCID: ORCID

  1. Producción y Protección Vegetal, ICiAgro Litoral, UNL, CONICET, FCA, Argentina
  2. Cultivos Intensivos, Facultad de Ciencias Agrarias, Universidad Nacional del Litoral, Santa Fe, Argentina
  3. Farmacognosia, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
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Abstract

The publication reflects the current situation concerning the possibilities of using augmented reality (AR) technology in the field of production technologies with the main intention of creating a tool to increase production efficiency. It is a set of individual steps that respond in a targeted manner to the possible need for assisted service intervention on a specific device. The publication chronologically describes the procedure required for the preparation and processing of a CAD model. For this preparatory process, the PTC software package is used which meets the requirements for each of the individual operations. The first step is the routine preparation of CAD models and assemblies. These are prepared based on real models located on the device, and their shape and dimensions correlate with the dimensions of the model on the device. The second phase is the creation and timing of the disassembly sequence. This will provide the model with complete vector data, which is then paired with the CAD models in AR. This phase is one of the most important. It determines the location of the model concerning its relative position on the device, provides information on the relocation of parts of the model after the sequence is started, and essentially serves as a template for the interactive part of the sequence. The last two phases are used to connect CAD models with vector data, determine their position for the position mark, and prepare the user interface displayed on the output device. The result of this procedure is a functional disassembly sequence, used for assisted service intervention of a worker in the spindle drive of the Emco Mill 55 device.
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Authors and Affiliations

Justyna Trojanowska
1
Jakub Kašcak
2
ORCID: ORCID
Jozef Husár
2
ORCID: ORCID
Lucia Knapcíková
3
ORCID: ORCID

  1. Poznan University of Technology, Faculty of Mechanical Engineering, Department of Production Engineering, Piotrowo Street 3, 61-138 Poznan, Poland
  2. Technical University of Košice, Faculty of Manufacturing Technologies with a seat in Prešov, Department of Computer Aided Manufacturing Technology, Šturova 31, 080 01 Prešov, Slovak Republic
  3. Technical University of Košice, Faculty of Manufacturing Technologies with a seat in Prešov, Department of Industrial Engineering and Informatics, Bayerova 1, 080 01 Prešov, Slovak Republic
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Abstract

Production development has for decades concentrated on incremental improvements by exploiting existing manufacturing knowledge to improve existing production systems or adapt them for new product developments. Building up an “ambidextrous innovation” ability, and more specifically in increasing focus on explorative production innovation, is important to balance production development efforts and obtain sustainable development of production. This paper aims to provide a conceptual framework for “ambidextrous production innovation” that conceptualizes and highlights phenomenon characteristics from exploitative and explorative perspectives. The conceptual framework describes “production innovation” as the process of either increasing or developing a new production capability, enabling opportunities for new product designs. This process can be either “product-driven” or “production-driven” depending on the primary objective of the development.
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Authors and Affiliations

Lisa Larsson
1
David Romero
2

  1. Department of Business Administration, Technology and Social Sciences, Luleå University of Technology, Sweden
  2. Departments of Industrial Engineering and Mechatronics, School of Engineering and Sciences, Tecnológico de Monterrey, Mexico
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Abstract

Traditionally the aggregate production plan helps in determining the inventory, production, and work-force, based on the demand forecasts without considering the productivity loss at a tactical level in supply chain planning. In this paper, we include the productivity loss into traditional aggregate production plan and the prescriptive analytics technique, linear programming, is used to solve this problem of practical interest in the domain of multifarious businesses and industries. In this study, we discussed two model variations of the aggregate production planning problem with and without productivity loss, i) fixed work-force, and ii) variable Work Force. The mathematical models were designated to be solved by using an open-source python pulp package in order to evaluate the impacts of the productivity loss on both the models. PuLP is an open-source modeling framework provided by the COIN-OR Foundation (Computational Infrastructure for Operations Research) for linear and integer Programing problems written in Python. The computational results indicate that the productivity loss has direct impact on the workforce hiring and firing.
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Authors and Affiliations

Hakeem Ur REHMAN
Ayyaz AHMAD
Zarak ALI
Sajjad Ahmad BAIG
Umair MANZOOR

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Abstract

The automotive industry is characterized by a high degree of uncertainty. Companies are facing the challenge of producing different systems simultaneously. Additionally, the global quantity of electric vehicles is also expected to increase significantly. This results in the following capability to remain competitive: Effective and efficient adaptions of production systems to model variations and volume increases. While flexible production is identified as the most promising concept, defining the actual flexibility level of included production resources is essential for its proper realization. A literature review on existing flexibility assessment approaches revealed their emphasis on high-level enablers and limited practical applicability in the automotive industry. In contrast, focusing the assessment on single workstations supports the selection of appropriate production resources. Therefore, a simple and structured standard procedure for a production resource flexibility assessment was developed. This theoretical construct was subsequently complemented with practical insights through its application on two real-life case studies within one automotive engineering company. Summarizing and discussing the findings in combination with a conclusion completed this paper.
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Authors and Affiliations

Oliver Moerth-Teo
1
Gernot Schlögl
2
Muaaz Abdul-Hadi
3
Markus Brillinger
3
Martin Weinzerl
4
Christian Ramsauer
1

  1. Institue of Innovation and Industrial Management, Graz University of Technology, Austria
  2. Institue of Production Engineering, Graz University of Technology, Austria
  3. Pro2Future GmbH, Austria
  4. AVL List GmbH, Austria
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Abstract

In this article we have described a multiproduct model of economical dynamics of Gale type, in which the changes in production technology (the dynamics of Gale type production spaces) depend upon the scale of targeted investments. Under such assumptions we have proved a so-called “weak” version of a multilane turnpike theorem in the Gale type economy with varying technology which converges to a certain limit technology. It states that in the long periods of time, regardless of the initial state of the economy, the optimal growth processes almost always lie close to the family of steady growth paths with maximum growth rate called the multilane turnpike.
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Authors and Affiliations

Emil Panek
1

  1. University of Zielona Góra, Institute of Economics and Finance, Zielona Góra, Poland
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Abstract

Underground mining development is directly related to face drilling rig performance. Reducing operating costs and improving productivity are current and crucial topics for mining projects around the world within the development phase. Unlike past approaches, this article is based on variations of equipment availability and utilisation, and their impact on development plans success and costs decrease. To assess the influence of these parameters, daily field data were collected to identify major downtimes in normal cycles and apply adequate corrective measures to mitigate them. Additionally, this article presents the reader with a graphic illustration of the correlation between utilisation and development, including historical data. This paper was developed from October 2017 to March 2018. The result of this study seeks to identify when projects generate profits by comparing four situations with constant productivity, but variables such as the possession rate, maintenance fee, production and utilisation. Finally, it is demonstrated that success in mining projects, related to equipment, is proportional to the utilisation of the fleet, with the correct management of productivities.
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Bibliography

[1] S. Elevli, B. Elevli, Performance Measurement of Mining Equipments by Utilizing OEE. Acta Montan. Slovaca 15, 95-101 (2010),
[2] C. Hegde, K.E. Gray, Use of machine learning and data analytics to increase drilling efficiency for nearby wells. Journal of Natural Gas Science and Engineering 40, 327-335 (2017). https://doi.org/10.1016/j.jngse.2017.02.019
[3] B . A. Kansake, R. S. Suglo, Impact of Availability and Utilization of Drill Rigs on Production at Kanjole Minerals Limited. International Journal of Science, Environment and Technology 4, 6, 1524-1537.
[3] J. Valivaara, Automated Drilling Features for Improving Productivity and Reducing Costs in Underground Development. Global Trends, 9-11.
[4] B . Samatemba, L. Zhang, Evaluating and optimizing the effectiveness of mining equipment; the case of Chibuluma South underground mine. Journal of Cleaner Production 252 119697 (2020).
[5] D . Henao, MBA thesis, Aplicación de la Metodología Kaizen a las operaciones en la mina en la empresa de explotación de cobre Miner S.A. Universidad Eafit, Escuela de Administración, Medellín (2019).
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Authors and Affiliations

Sebastian Arenas Bermúdez
1
ORCID: ORCID
Cristian Gerardo Zapata Otalora
1
Jorge Martin Molina Escobar
1
ORCID: ORCID

  1. Universidad Nacional de Colombia, Mines Faculty, Colombia

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