Issues

Journal & Issues

Volume 28 (2022): Issue 4 (December 2022)

Volume 28 (2022): Issue 3 (September 2022)

Volume 28 (2022): Issue 2 (June 2022)

Volume 28 (2022): Issue 1 (March 2022)

Volume 27 (2021): Issue 4 (December 2021)

Volume 27 (2021): Issue 3 (September 2021)

Volume 27 (2021): Issue 2 (June 2021)

Volume 27 (2021): Issue 1 (March 2021)

Volume 26 (2020): Issue 4 (December 2020)

Volume 26 (2020): Issue 3 (September 2020)

Volume 26 (2020): Issue 2 (June 2020)

Volume 26 (2020): Issue 1 (March 2020)

Volume 25 (2019): Issue 25 (December 2019)

Volume 24 (2019): Issue 24 (September 2019)

Volume 23 (2019): Issue 23 (June 2019)

Volume 22 (2019): Issue 22 (March 2019)

Volume 21 (2018): Issue 21 (December 2018)

Volume 20 (2018): Issue 20 (September 2018)

Volume 19 (2018): Issue 19 (June 2018)

Volume 18 (2018): Issue 18 (March 2018)

Volume 17 (2017): Issue 17 (December 2017)

Volume 16 (2017): Issue 16 (September 2017)

Volume 15 (2017): Issue 15 (June 2017)

Volume 14 (2017): Issue 14 (March 2017)

Journal Details
Format
Journal
eISSN
2353-7779
First Published
30 Mar 2018
Publication timeframe
4 times per year
Languages
English

Search

Volume 28 (2022): Issue 1 (March 2022)

Journal Details
Format
Journal
eISSN
2353-7779
First Published
30 Mar 2018
Publication timeframe
4 times per year
Languages
English

Search

12 Articles
Open Access

Hospital selection under Insured Public Health Schemes in the multi-criteria group decision-making environment

Published Online: 12 Feb 2022
Page range: 1 - 11

Abstract

Abstract

A thriving healthcare system perfectly reflects economic development and contentment amongst the people of any region. With increasing anxiety concering health and growing medical needs, hospitals worldwide face substantial challenge to provide patients with adequate medical facilities under one roof. With a fragile state of the health industry in a developing country like India, there is a need for the hospitals to opt for international standards and comply with other premier health centers of the country. This paper aims to select the hospitals based on incongruous and conflicting criteria involving group decision-making using the Intuitionistic Fuzzy (IF) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The criteria used are concomitant to an insured public health scheme named Ayushman Bharat-National Health Protection Scheme (AB-NHPS) of the Government of India. For each alternative Euclidean distance has been used to calculate the positive and negative separation measure from the ideal solution. The relative closeness to the ideal solution has been used to rank the hospitals. The result is a list of hospitals ranked from best to worst based on the laid criteria. It can aid governing bodies in decision-making under an uncertain environment with multiple complex criteria to analyze.

Keywords

  • Healthcare
  • Multiple criteria decision making (MCDM)
  • Ayushman Bharat
  • Intuitionistic Fuzzy-TOPSIS (IF-TOPSIS)
  • IFWA

JEL Classification

  • D81
  • M11
Open Access

Comparative analysis of static and dynamic facility layouts design using the modeling of plantain flour as case study

Published Online: 12 Feb 2022
Page range: 12 - 20

Abstract

Abstract

Profit optimization at the expense of minimal resource utilization for product development has been the major focus of prospective investors. In an attempt to realize this goal, the present research consideration is tailored towards investigating the effect of introducing dynamic facility layout design. Therefore, this research study uses an existing designed plantain flour processing plant that consists of a washing machine, grating machine, dryer, milling machine and sieving machine. Modeling techniques incorporated with software development were employed on the existing static plant layout to optimize production time and cost of each of the processing units along with the layout. Also, dynamic constraints were introduced into the layouts while mathematical models were formulated to visualize how the output and production process would be. With these models, software for the optimization of static and dynamic layouts was developed. The comparative study was carried out based on the processing time, the number of machines needed for each layout type, the cost of operation and machine procurement cost for both static and dynamic layouts. The constraints introduced ensured that the system improved within the cost limit based on the current market situation and prevented unnecessary enlargement in the plant facility size while minimizing material congestion in the system. The distinction between static and dynamic layout configurations was further established by comparing the results from the layout configurations for a set of throughput masses ranging from 50 kg to 250 kg. Results showed that the cost of operation drops drastically by 69.6 % under dynamic layout configuration.

Keywords

  • Process plant facility layout
  • Material congestion
  • Constraints
  • Layout configuration
  • Static and dynamic layout

JEL Classification

  • L23
  • M11
Open Access

Risk identification methodology regarding the safety and quality of railway services

Published Online: 12 Feb 2022
Page range: 21 - 29

Abstract

Abstract

The paper deals with the implementation of a modified FMEA methodology according to the EU Commission Regulation no. 402/13 on a common safety method for risk assessment and evaluation in the railway sector. The basic goal is to create a methodology for risk identification regarding the safety of services in railway transport concerning railway crossings. Reason for this research was the fact that the manager of the railway infrastructure in Slovakia has problems related to accidents at railway crossings including problems with the quality of services when trains are delayed. Based on previous research, this area has been defined as a priority for risk identification. Accidents at level crossings are often the result of complex interactions between several factors. The results of the authors’ long-term research bring direct impact on the safety and quality of rail transport services. The first effect of the research is a detailed investigation of the causes of accidents, on which the new methodology is based. This is important because understanding the causes of accidents is the first step in eliminating them. The proposed new framework of the methodology provides guidance to the railway infrastructure manager on how to identify, analyze, evaluate and eliminate the risks of their effects.

Keywords

  • FMEA
  • methodology
  • railway
  • crossing
  • Slovakia

JEL Classification

  • L23
  • M11
Open Access

AHP QFD methodology for a recycled solar collector

Published Online: 12 Feb 2022
Page range: 30 - 39

Abstract

Abstract

As it is presented in literature, the AHP-QFD method is a method applicable to many sectors, namely industry. The article is a part of this framework, applying this method for the design of a recycled solar air heater according to customer’s expectations. The methodology is based on the application of QFD to detect consumer requirements, technical characteristics and their relationship matrices. while the AHP method aims to evaluate the weights of each criterion in order to make the right decision.

In this study, the manufacturing process was projected from upstream to downstream, as well as a market study was established in October 2020, in Khouribga-Morocco, in which 50 people responded favourably to a survey about the most frequently searched requirements which include size, efficiency, design, price and ecology as well as their importance in a solar collector. Besides, relationship matrices and the weight matrices of the technical criteria have been established, by presenting a consistent ratio “CR” less than 10% showing the consistency of the assessment, and finally a priority given to the characteristics of the recycled solar air heater: cans and thermal insulation more superior to the others characteristics.

Keywords

  • AHP
  • QFD
  • Market research
  • Recycled solar air heater
  • Weights of criteria
  • Consistency ratio “CR”

JEL Classification

  • L23
  • M11
Open Access

Statistical analysis of road freight transport in Catalonia

Published Online: 12 Feb 2022
Page range: 40 - 49

Abstract

Abstract

This article describes the links between economic level, investment in Research & development (R&D), and Catalan freight transport between 2006 and 2016. Catalonia is the second most populous area in Spain, northeast of the Iberian Peninsula, whose economy ranks second among the Autonomous Communities, surpassed only by the Community of Madrid, to speak of a significant economic and social region. The study sought to answer the question of what economic contexts exist in the region regarding freight transport. To do all this, it uses mathematical-statistical tools to explore the relationships between real data sets, which were calculated using seven indicators. The analyses suggest a positive increase in the volume of imports and exports of goods in the region. The same is true for GDP per capita. It came as a surprise that virtually no positive correlations existed between R&D and any other indicators. In analysing the indicators, we found that the current economy was pushed back by the 2008 world economic change, similarly to international trends. At the same time, there has been rapid growth since 2010, especially in exports. This also means that Spain, particularly the Catalan region, has serious trade relations, which affect the region’s economic development and the freight transport industry.

Keywords

  • Catalonia
  • indicators
  • freight transport
  • correlation
  • economic

JEL Classification

  • L62
  • M11
Open Access

Effect of different wire materials on WEDM performance of Bio-compatible material

Published Online: 12 Feb 2022
Page range: 50 - 55

Abstract

Abstract

The present experimental investigation aims to analyse the effect of various machining parameters, such as pulse peak current (Ion), pulse on time (Ton), pulse off time (Toff) and spark voltage (SV) on the surface roughness (SR) and material removal rate(MRR) by using continuous traveling of both wire electrode (i.e. brass wire and zinc-coated brass wire). The present work also analyses the effect of types of wires, such as brass wire and zinc-coated brass wire used during machining of Titanium alloy (Ti-6Al-4V) on Surface roughness (SR) and material removal rate (MRR). This work studies the correlation between various response parameter such SR and MRR by using same machining parameter by for both wires.

Keywords

  • WEDM
  • MRR
  • SR
  • Ti-6Al-4V

JEL Classification

  • L69
  • M11
Open Access

Analysis of the use of artificial intelligence in the management of Industry 4.0 projects. The perspective of Polish industry

Published Online: 12 Feb 2022
Page range: 56 - 63

Abstract

Abstract

Artificial Intelligence (AI) supports project management in industry projects increasingly more often. The article documents research results regarding the use of AI in Industry 4.0 projects. The aim of the article is to define the range of AI use in Industry 4.0 projects throughout their entire life cycle and to indentify the main stages of AI development in project management. Additionally, the article indicates the main barriers to AI use in project management identified in the studied projects. In order to identify and systemise the range of AI use, the Conceptual Framework of Using AI in Project Management presented in literature is applied. Research results indicate that we are in the early stages of AI use in projects. The studied projects use AI mainly in project administration, i.e. to complete the following tasks: simple automation of routine activities, support, and, to a very limited extent, in the area of project management, i.e. in identifying anomalies and predicting the phenomena where the anomalies will occur. The research uses the case study method, where four projects were studied: an ERP system upgrade, an implementation of an IT system supporting high-bay warehouse management, an implementation of an IoT as a data-collection sensor platform and an E-learning platform implementation. The study was conducted between 2019 and 2021, and covered the entire project life cycle, including its three stages, i.e. preparation, implementation and operation.

Keywords

  • AI
  • Industry 4.0
  • IT system
  • project management

JEL Classification

  • L23
  • M11
Open Access

Restructuring picking and restocking processes on a hypermarket

Published Online: 12 Feb 2022
Page range: 64 - 72

Abstract

Abstract

The purpose of this paper is to identify challenges and opportunities for exploring Lean approaches in managing instore logistics processes of a hypermarket, wherein data collection made to quantify the state of the system, methods, and instruments will be applied to improve picking and restocking processes between the two main stock areas, the store and the warehouse. This article reports on a case study work, comprising direct observation, and analysis of the data collected, which was developed in three main phases: identification and characterization of problems, improvements in management of stock and restocking information, and finally improvements in the picking and restoking processes and teams. After analysing the hypermarket, some problems were found such as a high percentage of non-productive time in restocking, a daily average of 132 products to be restocked, a lack of standardization of tasks in the warehouse, and outdated restocking management system. Therefore, there will be some proposals to change the restocking management system, the picking and restocking work method and the warehouse layout, which makes it possible to decrease stock breaks in the store by 17%, the number of employees dedicated to these processes from 14 to 11, and finally, to reduce 2 daily hours of non-adding value time. This work makes an innovative contribution to fulfil a lack of publications dedicated to hyper-market inbound logistics between the warehouse and the store. Thus, it reveals the significant importance of focusing on instore logistics to the point of sale, concerning the efficiency, the lean production, and social benefits to the retail hypermarket, from the reception of products in the hypermarket warehouse until they are placed on the store shelves.

Keywords

  • Lean Services
  • Hypermarket
  • Picking
  • Restocking
  • Warehouse management

JEL Classification

  • L23
  • M11
Open Access

Specifics of physico-mechanical characteristics of thermally-hardened rebar

Published Online: 12 Feb 2022
Page range: 73 - 81

Abstract

Abstract

Thermal hardening is widely used nowadays for modification of steel bar properties and obtaining effective reinforcing material. Strength and deformation characteristics of thermally hardened reinforcement is the complex indicator of reinforcement efficiency. Therefore, reliable assessment of physico-mechanical characteristics of thermally hardened rebar is topical and important issue. This article is intended to the analysis of physico-mechanical characteristics of thermally hardened rebar on the basis of experimental data. Thorough statistical processing of experimental data was made and specific features of strength parameters were identified. Analytical model of strength characteristics is proposed, which enables to take into account inhomogeneous strength properties of the rebar along its cross-section. It could be stated that assessment of physico-mechanical characteristics of thermally hardened rebar is topical and important issue, which is the prospective area of further research.

Keywords

  • thermal strengthening
  • reinforcing steel
  • reinforced concrete structures
  • hardening

JEL Classification

  • L70
  • l79
Open Access

Random forest based power sustainability and cost optimization in smart grid

Published Online: 12 Feb 2022
Page range: 82 - 92

Abstract

Abstract

Presently power control and management play a vigorous role in information technology and power management. Instead of non-renewable power manufacturing, renewable power manufacturing is preferred by every organization for controlling resource consumption, price reduction and efficient power management. Smart grid efficiently satisfies these requirements with the integration of machine learning algorithms. Machine learning algorithms are used in a smart grid for power requirement prediction, power distribution, failure identification etc. The proposed Random Forest-based smart grid system classifies the power grid into different zones like high and low power utilization. The power zones are divided into number of sub-zones and map to random forest branches. The sub-zone and branch mapping process used to identify the quantity of power utilized and the non-utilized in a zone. The non-utilized power quantity and location of power availabilities are identified and distributed the required quantity of power to the requester in a minimal response time and price. The priority power scheduling algorithm collect request from consumer and send the request to producer based on priority. The producer analysed the requester existing power utilization quantity and availability of power for scheduling the power distribution to the requester based on priority. The proposed Random Forest based sustainability and price optimization technique in smart grid experimental results are compared to existing machine learning techniques like SVM, KNN and NB. The proposed random forest-based identification technique identifies the exact location of the power availability, which takes minimal processing time and quick responses to the requestor. Additionally, the smart meter based smart grid technique identifies the faults in short time duration than the conventional energy management technique is also proven in the experimental results.

Keywords

  • Smart Grid
  • Random Forest
  • Internet of Things
  • Power management
  • Machine Learning
  • Smart Meter
  • Priority Power Scheduling

JEL Classification

  • L23
  • M11
Open Access

Development of a readiness for change maturity model: an energy management system implementation case study

Published Online: 12 Feb 2022
Page range: 93 - 109

Abstract

Abstract

This paper provides a methodology to assess the maturity of an organization’s readiness for change based on the use of a Fuzzy Analytic Network Process and fuzzy linguistic evaluation maturity model. This anticipatory approach’s purpose is to evaluate the extent in which an organization is ready to implement a change initiative, in order to enhance supportive behaviors and identify improvement areas before engaging the change and thus reducing change adoption failure risks. A case study for the implementation of an Energy Management System according to the ISO 50001 Standard within a factory operating in the automotive sector is provided. Rather than the classical technical approach found in energy management maturity models, this approach offers an organizational perspective. The use of the Fuzzy Analytic Network Process allows the consideration of the interrelations between factors, while the use of fuzzy logic for the evaluation through linguistic variables helps in taking the uncertainty and imprecision of respondents into consideration. This approach serves as a decision support system for decision-makers by providing the organization’s readiness maturity level as well as the identification of improvement areas that will help ensure a successful implementation of the desired change initiative. In the conducted case study, the obtained maturity level refers to an average readiness for change for the implementation of the Energy Management System and requires the definition of an improvement roadmap, comprising the following elements: ensuring top management leadership and organizational commitment and involving employees as well as internal communication on the personal and organizational benefits of the implementation of an Energy Management System.

Keywords

  • Energy Management System
  • ISO 50001
  • Change readiness
  • Maturity model
  • Fuzzy Analytic Network Process

JEL Classification

  • L23
  • M11
Open Access

Social climate of support for innovativeness

Published Online: 12 Feb 2022
Page range: 110 - 116

Abstract

Abstract

The article describes a research study focused on determining the level of social support for innovative activities. Based on a questionnaire survey and in-depth interviews conducted among engineers working in the United States and in Poland, data was obtained to determine the level of social acceptance and the level of support from third parties and institutions encouraging innovative activities. Conducting a comparative analysis of innovation support in the United States and Poland made it possible to learn about the social climate strengthening and inhibiting innovative behavior in both countries. An important element in the aspect of social acceptance is the perception of innovation from the perspective of corporate social responsibility, responsibility of business leaders and engineers as well as sustainable development.

Keywords

  • Innovativeness
  • Social support
  • Innovativeness support
  • Comparative analysis

JEL Classification

  • L23
  • M11
12 Articles
Open Access

Hospital selection under Insured Public Health Schemes in the multi-criteria group decision-making environment

Published Online: 12 Feb 2022
Page range: 1 - 11

Abstract

Abstract

A thriving healthcare system perfectly reflects economic development and contentment amongst the people of any region. With increasing anxiety concering health and growing medical needs, hospitals worldwide face substantial challenge to provide patients with adequate medical facilities under one roof. With a fragile state of the health industry in a developing country like India, there is a need for the hospitals to opt for international standards and comply with other premier health centers of the country. This paper aims to select the hospitals based on incongruous and conflicting criteria involving group decision-making using the Intuitionistic Fuzzy (IF) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The criteria used are concomitant to an insured public health scheme named Ayushman Bharat-National Health Protection Scheme (AB-NHPS) of the Government of India. For each alternative Euclidean distance has been used to calculate the positive and negative separation measure from the ideal solution. The relative closeness to the ideal solution has been used to rank the hospitals. The result is a list of hospitals ranked from best to worst based on the laid criteria. It can aid governing bodies in decision-making under an uncertain environment with multiple complex criteria to analyze.

Keywords

  • Healthcare
  • Multiple criteria decision making (MCDM)
  • Ayushman Bharat
  • Intuitionistic Fuzzy-TOPSIS (IF-TOPSIS)
  • IFWA

JEL Classification

  • D81
  • M11
Open Access

Comparative analysis of static and dynamic facility layouts design using the modeling of plantain flour as case study

Published Online: 12 Feb 2022
Page range: 12 - 20

Abstract

Abstract

Profit optimization at the expense of minimal resource utilization for product development has been the major focus of prospective investors. In an attempt to realize this goal, the present research consideration is tailored towards investigating the effect of introducing dynamic facility layout design. Therefore, this research study uses an existing designed plantain flour processing plant that consists of a washing machine, grating machine, dryer, milling machine and sieving machine. Modeling techniques incorporated with software development were employed on the existing static plant layout to optimize production time and cost of each of the processing units along with the layout. Also, dynamic constraints were introduced into the layouts while mathematical models were formulated to visualize how the output and production process would be. With these models, software for the optimization of static and dynamic layouts was developed. The comparative study was carried out based on the processing time, the number of machines needed for each layout type, the cost of operation and machine procurement cost for both static and dynamic layouts. The constraints introduced ensured that the system improved within the cost limit based on the current market situation and prevented unnecessary enlargement in the plant facility size while minimizing material congestion in the system. The distinction between static and dynamic layout configurations was further established by comparing the results from the layout configurations for a set of throughput masses ranging from 50 kg to 250 kg. Results showed that the cost of operation drops drastically by 69.6 % under dynamic layout configuration.

Keywords

  • Process plant facility layout
  • Material congestion
  • Constraints
  • Layout configuration
  • Static and dynamic layout

JEL Classification

  • L23
  • M11
Open Access

Risk identification methodology regarding the safety and quality of railway services

Published Online: 12 Feb 2022
Page range: 21 - 29

Abstract

Abstract

The paper deals with the implementation of a modified FMEA methodology according to the EU Commission Regulation no. 402/13 on a common safety method for risk assessment and evaluation in the railway sector. The basic goal is to create a methodology for risk identification regarding the safety of services in railway transport concerning railway crossings. Reason for this research was the fact that the manager of the railway infrastructure in Slovakia has problems related to accidents at railway crossings including problems with the quality of services when trains are delayed. Based on previous research, this area has been defined as a priority for risk identification. Accidents at level crossings are often the result of complex interactions between several factors. The results of the authors’ long-term research bring direct impact on the safety and quality of rail transport services. The first effect of the research is a detailed investigation of the causes of accidents, on which the new methodology is based. This is important because understanding the causes of accidents is the first step in eliminating them. The proposed new framework of the methodology provides guidance to the railway infrastructure manager on how to identify, analyze, evaluate and eliminate the risks of their effects.

Keywords

  • FMEA
  • methodology
  • railway
  • crossing
  • Slovakia

JEL Classification

  • L23
  • M11
Open Access

AHP QFD methodology for a recycled solar collector

Published Online: 12 Feb 2022
Page range: 30 - 39

Abstract

Abstract

As it is presented in literature, the AHP-QFD method is a method applicable to many sectors, namely industry. The article is a part of this framework, applying this method for the design of a recycled solar air heater according to customer’s expectations. The methodology is based on the application of QFD to detect consumer requirements, technical characteristics and their relationship matrices. while the AHP method aims to evaluate the weights of each criterion in order to make the right decision.

In this study, the manufacturing process was projected from upstream to downstream, as well as a market study was established in October 2020, in Khouribga-Morocco, in which 50 people responded favourably to a survey about the most frequently searched requirements which include size, efficiency, design, price and ecology as well as their importance in a solar collector. Besides, relationship matrices and the weight matrices of the technical criteria have been established, by presenting a consistent ratio “CR” less than 10% showing the consistency of the assessment, and finally a priority given to the characteristics of the recycled solar air heater: cans and thermal insulation more superior to the others characteristics.

Keywords

  • AHP
  • QFD
  • Market research
  • Recycled solar air heater
  • Weights of criteria
  • Consistency ratio “CR”

JEL Classification

  • L23
  • M11
Open Access

Statistical analysis of road freight transport in Catalonia

Published Online: 12 Feb 2022
Page range: 40 - 49

Abstract

Abstract

This article describes the links between economic level, investment in Research & development (R&D), and Catalan freight transport between 2006 and 2016. Catalonia is the second most populous area in Spain, northeast of the Iberian Peninsula, whose economy ranks second among the Autonomous Communities, surpassed only by the Community of Madrid, to speak of a significant economic and social region. The study sought to answer the question of what economic contexts exist in the region regarding freight transport. To do all this, it uses mathematical-statistical tools to explore the relationships between real data sets, which were calculated using seven indicators. The analyses suggest a positive increase in the volume of imports and exports of goods in the region. The same is true for GDP per capita. It came as a surprise that virtually no positive correlations existed between R&D and any other indicators. In analysing the indicators, we found that the current economy was pushed back by the 2008 world economic change, similarly to international trends. At the same time, there has been rapid growth since 2010, especially in exports. This also means that Spain, particularly the Catalan region, has serious trade relations, which affect the region’s economic development and the freight transport industry.

Keywords

  • Catalonia
  • indicators
  • freight transport
  • correlation
  • economic

JEL Classification

  • L62
  • M11
Open Access

Effect of different wire materials on WEDM performance of Bio-compatible material

Published Online: 12 Feb 2022
Page range: 50 - 55

Abstract

Abstract

The present experimental investigation aims to analyse the effect of various machining parameters, such as pulse peak current (Ion), pulse on time (Ton), pulse off time (Toff) and spark voltage (SV) on the surface roughness (SR) and material removal rate(MRR) by using continuous traveling of both wire electrode (i.e. brass wire and zinc-coated brass wire). The present work also analyses the effect of types of wires, such as brass wire and zinc-coated brass wire used during machining of Titanium alloy (Ti-6Al-4V) on Surface roughness (SR) and material removal rate (MRR). This work studies the correlation between various response parameter such SR and MRR by using same machining parameter by for both wires.

Keywords

  • WEDM
  • MRR
  • SR
  • Ti-6Al-4V

JEL Classification

  • L69
  • M11
Open Access

Analysis of the use of artificial intelligence in the management of Industry 4.0 projects. The perspective of Polish industry

Published Online: 12 Feb 2022
Page range: 56 - 63

Abstract

Abstract

Artificial Intelligence (AI) supports project management in industry projects increasingly more often. The article documents research results regarding the use of AI in Industry 4.0 projects. The aim of the article is to define the range of AI use in Industry 4.0 projects throughout their entire life cycle and to indentify the main stages of AI development in project management. Additionally, the article indicates the main barriers to AI use in project management identified in the studied projects. In order to identify and systemise the range of AI use, the Conceptual Framework of Using AI in Project Management presented in literature is applied. Research results indicate that we are in the early stages of AI use in projects. The studied projects use AI mainly in project administration, i.e. to complete the following tasks: simple automation of routine activities, support, and, to a very limited extent, in the area of project management, i.e. in identifying anomalies and predicting the phenomena where the anomalies will occur. The research uses the case study method, where four projects were studied: an ERP system upgrade, an implementation of an IT system supporting high-bay warehouse management, an implementation of an IoT as a data-collection sensor platform and an E-learning platform implementation. The study was conducted between 2019 and 2021, and covered the entire project life cycle, including its three stages, i.e. preparation, implementation and operation.

Keywords

  • AI
  • Industry 4.0
  • IT system
  • project management

JEL Classification

  • L23
  • M11
Open Access

Restructuring picking and restocking processes on a hypermarket

Published Online: 12 Feb 2022
Page range: 64 - 72

Abstract

Abstract

The purpose of this paper is to identify challenges and opportunities for exploring Lean approaches in managing instore logistics processes of a hypermarket, wherein data collection made to quantify the state of the system, methods, and instruments will be applied to improve picking and restocking processes between the two main stock areas, the store and the warehouse. This article reports on a case study work, comprising direct observation, and analysis of the data collected, which was developed in three main phases: identification and characterization of problems, improvements in management of stock and restocking information, and finally improvements in the picking and restoking processes and teams. After analysing the hypermarket, some problems were found such as a high percentage of non-productive time in restocking, a daily average of 132 products to be restocked, a lack of standardization of tasks in the warehouse, and outdated restocking management system. Therefore, there will be some proposals to change the restocking management system, the picking and restocking work method and the warehouse layout, which makes it possible to decrease stock breaks in the store by 17%, the number of employees dedicated to these processes from 14 to 11, and finally, to reduce 2 daily hours of non-adding value time. This work makes an innovative contribution to fulfil a lack of publications dedicated to hyper-market inbound logistics between the warehouse and the store. Thus, it reveals the significant importance of focusing on instore logistics to the point of sale, concerning the efficiency, the lean production, and social benefits to the retail hypermarket, from the reception of products in the hypermarket warehouse until they are placed on the store shelves.

Keywords

  • Lean Services
  • Hypermarket
  • Picking
  • Restocking
  • Warehouse management

JEL Classification

  • L23
  • M11
Open Access

Specifics of physico-mechanical characteristics of thermally-hardened rebar

Published Online: 12 Feb 2022
Page range: 73 - 81

Abstract

Abstract

Thermal hardening is widely used nowadays for modification of steel bar properties and obtaining effective reinforcing material. Strength and deformation characteristics of thermally hardened reinforcement is the complex indicator of reinforcement efficiency. Therefore, reliable assessment of physico-mechanical characteristics of thermally hardened rebar is topical and important issue. This article is intended to the analysis of physico-mechanical characteristics of thermally hardened rebar on the basis of experimental data. Thorough statistical processing of experimental data was made and specific features of strength parameters were identified. Analytical model of strength characteristics is proposed, which enables to take into account inhomogeneous strength properties of the rebar along its cross-section. It could be stated that assessment of physico-mechanical characteristics of thermally hardened rebar is topical and important issue, which is the prospective area of further research.

Keywords

  • thermal strengthening
  • reinforcing steel
  • reinforced concrete structures
  • hardening

JEL Classification

  • L70
  • l79
Open Access

Random forest based power sustainability and cost optimization in smart grid

Published Online: 12 Feb 2022
Page range: 82 - 92

Abstract

Abstract

Presently power control and management play a vigorous role in information technology and power management. Instead of non-renewable power manufacturing, renewable power manufacturing is preferred by every organization for controlling resource consumption, price reduction and efficient power management. Smart grid efficiently satisfies these requirements with the integration of machine learning algorithms. Machine learning algorithms are used in a smart grid for power requirement prediction, power distribution, failure identification etc. The proposed Random Forest-based smart grid system classifies the power grid into different zones like high and low power utilization. The power zones are divided into number of sub-zones and map to random forest branches. The sub-zone and branch mapping process used to identify the quantity of power utilized and the non-utilized in a zone. The non-utilized power quantity and location of power availabilities are identified and distributed the required quantity of power to the requester in a minimal response time and price. The priority power scheduling algorithm collect request from consumer and send the request to producer based on priority. The producer analysed the requester existing power utilization quantity and availability of power for scheduling the power distribution to the requester based on priority. The proposed Random Forest based sustainability and price optimization technique in smart grid experimental results are compared to existing machine learning techniques like SVM, KNN and NB. The proposed random forest-based identification technique identifies the exact location of the power availability, which takes minimal processing time and quick responses to the requestor. Additionally, the smart meter based smart grid technique identifies the faults in short time duration than the conventional energy management technique is also proven in the experimental results.

Keywords

  • Smart Grid
  • Random Forest
  • Internet of Things
  • Power management
  • Machine Learning
  • Smart Meter
  • Priority Power Scheduling

JEL Classification

  • L23
  • M11
Open Access

Development of a readiness for change maturity model: an energy management system implementation case study

Published Online: 12 Feb 2022
Page range: 93 - 109

Abstract

Abstract

This paper provides a methodology to assess the maturity of an organization’s readiness for change based on the use of a Fuzzy Analytic Network Process and fuzzy linguistic evaluation maturity model. This anticipatory approach’s purpose is to evaluate the extent in which an organization is ready to implement a change initiative, in order to enhance supportive behaviors and identify improvement areas before engaging the change and thus reducing change adoption failure risks. A case study for the implementation of an Energy Management System according to the ISO 50001 Standard within a factory operating in the automotive sector is provided. Rather than the classical technical approach found in energy management maturity models, this approach offers an organizational perspective. The use of the Fuzzy Analytic Network Process allows the consideration of the interrelations between factors, while the use of fuzzy logic for the evaluation through linguistic variables helps in taking the uncertainty and imprecision of respondents into consideration. This approach serves as a decision support system for decision-makers by providing the organization’s readiness maturity level as well as the identification of improvement areas that will help ensure a successful implementation of the desired change initiative. In the conducted case study, the obtained maturity level refers to an average readiness for change for the implementation of the Energy Management System and requires the definition of an improvement roadmap, comprising the following elements: ensuring top management leadership and organizational commitment and involving employees as well as internal communication on the personal and organizational benefits of the implementation of an Energy Management System.

Keywords

  • Energy Management System
  • ISO 50001
  • Change readiness
  • Maturity model
  • Fuzzy Analytic Network Process

JEL Classification

  • L23
  • M11
Open Access

Social climate of support for innovativeness

Published Online: 12 Feb 2022
Page range: 110 - 116

Abstract

Abstract

The article describes a research study focused on determining the level of social support for innovative activities. Based on a questionnaire survey and in-depth interviews conducted among engineers working in the United States and in Poland, data was obtained to determine the level of social acceptance and the level of support from third parties and institutions encouraging innovative activities. Conducting a comparative analysis of innovation support in the United States and Poland made it possible to learn about the social climate strengthening and inhibiting innovative behavior in both countries. An important element in the aspect of social acceptance is the perception of innovation from the perspective of corporate social responsibility, responsibility of business leaders and engineers as well as sustainable development.

Keywords

  • Innovativeness
  • Social support
  • Innovativeness support
  • Comparative analysis

JEL Classification

  • L23
  • M11

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