Management and Production Engineering Review

Zawartość

Management and Production Engineering Review | 2022 | vol. 13 | No 2

1

Abstrakt

The main objective of the research work was to identify the dimensions of complexity and study the relationship between these defined dimensions in the industrial automation sector. To achieve these objectives in the study, there was assumed the following major hypothesis: With the increasing role of dynamic cross-section of the complexity there is growing importance of relationship dimension for competitive advantage. In the study there were diagnosed four dimensions of complexity. Existence of the relationship between these four identified dimensions of complexity occurred by the use of the Fisher’s exact test, which is a variant of the test of independence ��2. Furthermore, there were calculated V-Cramer factors to estimate the intensity of the above-mentioned relationship between analyzed dimensions. The research discovered that the three out of four dimensions such as the number of elements, variety of elements and uncertainty depend on the last dimension of complexity which is the relationship between elements. In the turbulent environment there is a growing importance of the relationship dimension. It forms competitive advantage and is a key condition of success in creating a new type of modern enterprise strategy that occurs within complexity management in the industrial automation sector.
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Autorzy i Afiliacje

Anna Lewandowska-Ciszek
1

  1. Poznan University of Economics and Business, Department of Logistics, Poland

Abstrakt

This study aims to identify the impact of transformational leadership in improving the performance of employees and its impact on raising the efficiency of organizations by considering that transformational leadership is one of the successful leadership methods to achieve the effectiveness and efficiency of organizations and improve their performance. In this paper, a systematic literature review of existing international papers is used. the meta-analysis method was used to analyze the articles published in scientific journals with high evaluation indexed in Scopus. Through the analysis process, application (WordStat 8) was used to investigate articles and summarize the descriptive statistics, correlation, and cloud keywords. The results reveal the effectiveness of transformational leadership on job performance. whenever managerial leaderships possess the attributes and characteristics of a transformational leader, including positive influence, inspirational motivation, and individual consideration, the more their subordinates will have creative skills and abilities. Also, the results indicate that the leader who possesses the characteristics of a transformational leader contributes significantly to the development of the capabilities of his subordinates, which is positively reflected in the upgrading of the organization's efficiency. In this paper, we present identifiable patterns in the relationship between transformational leadership, improving employee performance, and the raising efficiency of organizations. Then we suggest emerging core topics that deserve more academic attention. This paper's added value is that it undertakes a thorough and complete assessment of the relationship between transformational leadership, boosting employee performance, and increasing organizational efficiency. It also includes a written review of the work as well as an updated reference index covering the years 2011 to 2020, making it valuable for academics and professionals alike.
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Autorzy i Afiliacje

Askar Garad
1
Siswoyo Haryono
Rizal Yaya
2
Suryo Pratolo
2
Alni Rahmawati
2

  1. Doctoral Management Program, Postgraduate Studies, University Muhammadiyah Yogyakarta, Yogyakarta, Indonesia
  2. University Muhammadiyah Yogyakarta, Yogyakarta, Indonesia

Abstrakt

Distribution centres are the important elements of modern supply chains. A distribution centre stores and ships products. In this paper, we investigate the model of the dimensioning of shelf space on the rack with vertical and horizontal product categorisation in a distribution centre, where the objective is to maximise the total product movement/profit from all shelves of the rack which is being managed by a packer who needs to complete orders selecting the products from the shelves and picking them to the container. We apply two newly developed heuristics to this problem and compare the results to the optimal solution found by the CPLEX solver. There are 8 steering parameters that allow for reducing the search space implemented in heuristics. Among them are parameters that decrease the number of products on the shelves, the category with a range for assigning most space for the most profitable products within the category; two versions of steering parameters for the number of generated product allocations, the step parameters for the intensity of solution diversification, and the movement/profit below which the solutions are not generated. The computational results are presented and indicate that higher-quality solutions can be obtained using the new heuristics. In 10 from 15 tests, both heuristics can find optimal solutions without exploring the whole solution space. For the rest test sets, the solutions received by heuristics are not less than 92.58%.
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Autorzy i Afiliacje

Kateryna Czerniachowska
1
ORCID: ORCID
Radosław Wichniarek
2
ORCID: ORCID
Krzysztof Żywicki
2
ORCID: ORCID

  1. Wroclaw University of Economics and Business, Wroclaw, Poland
  2. Poznan University of Technology, Poznan, Poland

Abstrakt

The objective of this article is to carry out a systematic review of the literature on multivariate statistical process control (MSPC) charts used in industrial processes. The systematic review was based on articles published via Web of Science and Scopus in the last 10 years, from 2010 to 2020, with 51 articles on the theme identified. This article sought to identify in which industry the MSPC charts are most applied, the types of multivariate control charts used and probability distributions adopted, as well as pointing out the gaps and future directions of research. The most commonly represented industry was electronics, featuring in approximately 25% of the articles. The MSPC chart most frequently applied in the industrial sector was the traditional T2 of Harold Hotelling (Hotelling, 1947), found in 26.56% of the articles. Almost half of the combinations between the probabilistic distribution and the multivariate control graphs, i.e., 49.4%, considered that the data followed a normal distribution. Gaps and future directions for research on the topic are presented at the end.
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Autorzy i Afiliacje

Renan Mitsuo Ueda
1
Ìcaro Romolo Sousa Agostino
2
Adriano Mendonça Souza
1

  1. Federal University of Santa Maria, Brazil
  2. Federal University of Santa Catarina, Brazil

Abstrakt

We investigate the effect on firm performance of the motivation for applying maturity models in manufacturing and information technology organizations. We expect the association between profitability and maturity models to be less if motivated by external contract requirements (e.g., for certain government contracts), than if motivated internally to improve processes. Using a sample of firm-year observations for 1,105 SEC registrants in the manufacturing (Standard Industry Classification (SIC): 3600-3812) and IT industries (SIC: 7370-7374) for 2017 and 2018, and CMMI information from the CMMI institute published appraisal results system, it is observed that 28 public firms (17 IT firm-years and 23 manufacturing firm-years) in the sample had CMMI appraisals between 2017 and 2018. We use logistic regression to test if the likelihood of CMMI appraisal is positively associated with government sales. The results support for the manufacturing industry, but not for the IT industry, prior research’s assertion that maturity is a source for competitive advantage.
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Autorzy i Afiliacje

Louise Hayes
1
Jing Lu
1
Davar Rezania
1

  1. Department of Management, Gordon S. Lang School of Business and Economics, University of Guelph, Canada

Abstrakt

The green logistics item as a part of distribution processes represents an innovative perspective in many views. This perspective is current from an offer and demand point of view. Many authors examine only the businesses aspect, while labour market acceptance is important. The aim of this article is to create and verify a green distribution model and this examines the green distribution perception from the consumer’s point of view in a context of chosen demographic characteristics. The creation of a green distribution model is supported by secondary research at which consists of four parts – input, transport, production and sale. Model verification was taken with primary research which base was created of 409 respondents. In the study, we use many statistical and mathematical, as well as scientific and philosophical methods. Among the most significant belong Cronbach’s alpha and McDonald’s omega. We used to verify and estimate model reliability, correlation analysis for relation research, one-way ANOVA test for research hypotheses verification and cluster analysis for identification of possible hidden clusters. The model can be considered a reliable one. Results indicate a low influence of distribution ecological factor in a consumer’s perspective, as well, it can be stated, the age, contrary to sex, represents a significant factor in a green distribution perception. Results can be used in both the academic and commercial spheres in various fields and disciplines. The primary survey was conducted in Slovakia, but it would be appropriate to examine the model in other countries, as well as to identify factors that may affect the model of green distribution in the future.
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Autorzy i Afiliacje

Marián Cvirik
1
ORCID: ORCID
Naqibullah Daneshjo
1
ORCID: ORCID

  1. Department of Management, Gordon S. Lang School of Business and Economics, University of Guelph, Canada

Abstrakt

The EFQM recognition system is an acknowledged method of assessing business excellence understood as the degree of implementation of quality management in an organization. The paper aims to examine whether a high rating under the EFQM recognition system simultaneously means a high general management maturity level. The investigation covers the 35 organizations that won EFQM awards in Portugal. The study is based on points awarded to organizations under the EFQM recognition system and on questionnaires/interviews with managers responsible for quality management in the studied organizations. The results indicate a positive and robust correlation between the quality management implementation (rating under the EFQM recognition system) and general management maturity. The study helps to close the gap in the literature regarding the relationship between quality management and management maturity in an organization.
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Autorzy i Afiliacje

Luís Pimentel
1
ORCID: ORCID
Piotr Rogala
2
ORCID: ORCID

  1. BRU-UNIDE, ISCTE-IUL, University Institute of Lisbon; Universidade Europeia (Lisbon), Portugal
  2. Wroclaw University of Economics and Business, Department of Quality and Environmental Management, Poland

Abstrakt

Understanding of how to implement Lean successfully and how it contributes to performance in manufacturing organizational is still relatively lacking so that Lean exploration is still needed in the management aspect. This research will examine the effect of LMS, LWRT on LBR. This research was conducted on 30 companies in industrial centers in Indonesia, and the data were processed using the Structural Equation Model method. It was found that LMS has no significant effect on LBR, but LMS has a significant effect on LWRT, while LWRT has a significant effect on LBR. In detail, LBR variation of 78.8% is simultaneously influenced by LMS and LWRT, 21.2% is influenced by other variables. While 72.7% LWRT variation is influenced by LMS variation, and 27.3% is influenced by other variables. This result confirms Bergmiller’s research (2009) that LMS has a significant effect on LBR through LWRT for the manufacturing industry in Indonesia.
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Autorzy i Afiliacje

Herry Agung Prabowo
1
Farida Farida
1
Erry Yulian T. Adesta
2

  1. Industrial Engineering, Universitas Mercu Buana Jakarta, Indonesia
  2. Department of Industrial Safety and Health Engineering, Universitas Indo Global Mandiri (UIGM), Indonesia

Abstrakt

Employers signal difficulties in sourcing technically-educated staff. They often engage, though to a limited degree, in cooperation with vocational schools to mitigate this difficulty. One of the reasons for the limited involvement of enterprises in cooperation with schools is the difficulty in assessing the benefits that it may bring. The aim of the study in the article was to develop and initially verify a model for evaluating the results of supporting secondary technical schools by manufacturing enterprises. The article features a multiple case study using several types of interviews, a distributed questionnaire and an analysis of secondary sources. The study was conducted in cooperation with four large manufacturing enterprises. The result of the research is a more thorough understanding of the possibilities and limitations in evaluating the results of support for schools. This support should translate in enterprises into more effective and efficient management of the competences of the future.
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Autorzy i Afiliacje

Maciej Szafrański
1

  1. Faculty of Engineering Management, Poznan University of Technology, Poland

Abstrakt

This article presents the assessment of the creative culture and the level of innovativeness in selected manufacture enterprises. The theoretical part of the article discusses the space for creativity in the company and the microfoundations of the pyramid of needs related to creative culture. The pyramid consists of different microfoundations, which were used to create a questionnaire to assess the level of creative culture. This study assessed creative culture according to a model of the hierarchy of needs, developed by the author of this study based on Maslow’s pyramid of needs. The assessment used an innovation questionnaire and a creative culture questionnaire. This article presents a sample analysis of the results obtained from two of the companies that participated in the study. Furthermore, the article summarizes the results obtained from all participating companies and gives recommendations related to establishing creative culture based on these results. Every company should implement appropriate standards to help it develop a creative working environment. The goal of assessing creative culture in a company is to assist managers in building a workplace that fosters creativity, since such a workplace is a significant factor affecting the emergence of innovation. The analysis of the creative culture of the companies revealed their weaknesses and strengths in this respect. The developed methodology will undoubtedly influence an increase of awareness and knowledge of enterprises in the field of creating a pro-creative company culture. Such actions will contribute to the increase of company’s innovation, thus influencing its development.
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Autorzy i Afiliacje

Kamila Tomczak
1
ORCID: ORCID

  1. Opole University of Technology, Poland

Abstrakt

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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Autorzy i Afiliacje

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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They are first examined by the Management and Production Engineering Review Editors. Manuscripts clearly not suitable for publication, incomplete or not prepared in the required style will be sent back to the authors without scientific review, but may be resubmitted as soon as they have been corrected. The ultimate decision to accept, accept subject to correction, or reject a manuscript lies within the prerogative of the Editor-in-Chief and is not subject to appeal. The editors are not obligated to justify their decision.

All manuscripts submitted to MPER at https://www.editorialsystem.com/mper/ will be sent to at least two and in some cases three reviewers for passing the double-blind review process. The responsible editor will make the decision either to send the manuscript to another reviewer to resolve the difference of opinion or return it to the authors for revision.

The material formatted in the MPER format must be unpublished and not under submission elsewhere. Once a year a list of co-operating reviewers is publish in electronic version of MPER.

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The average time during which the preliminary assessment of manuscripts is conducted - 14 days

The average time during which the reviews of manuscripts are conducted - 6 months

The average time in which the article is published - 12 months

Dodatkowe informacje

The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on https://creativecommons.org/licenses/by/4.0/.

Zasady etyki publikacyjnej

The ethics statements for the journal Management and Production Engineering Review are based on the guidelines of Committee on publication ethics (COPE) and the ELSEVIER publishing ethics resource kit.
For Authors: All articles, published in the journal Management and Production Engineering Review have to comprise a list of references which correspond with the journal’s Instructions to authors for paper preparation. The authors should ensure that they have written entirely original works, and if the authors have used the work and/or words of others that this has been appropriately cited or quoted. All articles are tested using antyplagiarism programme. An author should not in general publish manuscripts describing essentially the same research in more than one journal or primary publication. Submitting the same manuscript to more than one journal concurrently constitutes unethical publishing behaviour and is unacceptable. Authorship should be limited to those who have made a significant contribution to the conception, design, execution, or interpretation of the reported study. The corresponding author should ensure that all co-authors have seen and approved the final version of the paper and have agreed to its submission for publication. All authors should disclose in their manuscript any financial or other substantive conflict of interest that might be construed to influence the results or interpretation of their manuscript. All sources of financial support for the project should be disclosed.
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Procedura recenzowania

Received manuscripts are first examined by the Management and Production Engineering Review Editors. Manuscripts clearly not suitable for publication, incomplete or not prepared in the required style will be sent back to the authors without scientific review, but may be resubmitted as soon as they have been corrected. The corresponding author will be notified by e-mail when the manuscript is registered at the Editorial Office (marta.grabowska@put.poznan.pl; mper@put.poznan.pl). The ultimate decision to accept, accept subject to correction, or reject a manuscript lies within the prerogative of the Editor-in-Chief and is not subject to appeal. The editors are not obligated to justify their decision. All manuscripts submitted to MPER editorial office (https://www.editorialsystem.com/mper/) will be sent to at least two and in some cases three reviewers for passing the double-blind review process. The responsible editor will make the decision either to send the manuscript to another reviewer to resolve the difference of opinion or return it to the authors for revision.

The average time during which the preliminary assessment of manuscripts is conducted - 14 days
The average time during which the reviews of manuscripts are conducted - 6 months
The average time in which the article is published - 8.4 months

Recenzenci

Degree Name Surname Affiliation Dr. Hind Ali University of Technology, Iraq Prof. Katarzyna Antosz Rzeszow University of Technology, Poland Dr. Bagus Arthaya Mechatronics Engineering Universitas Parahyangan, Indonesia Dr. Sarini Azizan Australian National University, Australia Prof. Zbiegniew Banaszak Koszalin University of Technology, Poland Prof. Lucia Bednarova Technical University of Kosice, Slovak Republic Prof. Kamila Borsekova UNIVERZITA MATEJA BELA V BANSKEJ BYSTRICI, Slovak Republic Prof. Rachid Boutarfa Hassan First University, Morocco Prof. Anna Burduk Wrocław University of Science and Technology, Poland Dr. Virginia Casey Universidad Nacional de Rosario, Argentina Claudiu Cicea Bucharest University of Economic Studies Romania, Romania Prof. Ömer Cora Karadeniz Technical University, Turkey Prof. Wiesław Danielak Uniwersytet Zielonogórski, Poland Dr. Jacek Diakun Poznan University of Technology, Poland Dr. Ewa Dostatni Poznan University of Technology, Poland Prof. Marek Dźwiarek Central Institute for Labor Protection Dr. Milan Edl University of West Bohemia, Czech Republic Joanna Ejdys Bialystok University of Technology, Poland Prof. Abdellah El barkany Sidi Mohamed Ben Abdellah University, Morocco Francesco Facchini Università degli Studi di Bari, Italy Prof. Mária Magdolna Farkasné Fekete Szent István University, Hungary Prof. Çetin Fatih Başkent Üniversitesi, Turkey Mose Gallo University of Napoli Federico, Italy Dr. Mit Gandhi Gujarat Gas Limited, India Prof. Józef Gawlik Cracow University of Technology, Poland Dr. Andrzej Gessner Poznan University of Technology, Poland Dr. Pedro Glass Universitatea Valahia din Targoviste, Romania Dr. Arkadiusz Gola Lublin University of Technology, Poland Alireza Goli Yazd university, Iran Dr. Magdalena Graczyk-Kucharska Poznan University of Technology, Poland Dr. Damian Grajewski Poznan University of Technology, Poland Dr. Łukasz Grudzień Poznan University of Technology, Poland Patrik Grznár University of Žilina, Slovak Republic Dr. Anouar Hallioui Sidi Mohamed Ben Abdellah University, Morocco Prof. Ali Hamidoglu Turkey Prof. Adam Hamrol Poznan University of Technology, Poland Dr. ni luh putu hariastuti itats, Indonesia Dr. Christian Harito Bina Nusantara University, Indonesia Dr. Muatazz Hazza School of Engineering, United Arab Emirates Dr. Ali Jaboob Dhofar University, Oman Prof. Małgorzata Jasiulewicz-Kaczmarek Poznan University of Technology, Poland Prof. Oláh Judit University of Debrecen, Hungary Prof. Jan Klimek Szkoła Główna Handlowa, Poland Dr. Nataliia Klymenko National University of Life and Environmental Sciences of Ukraine Prof. Sławomir Kłos University of Zielona Góra, Poland Dr. Peter Kostal Slovenská Technická Univerzita V Bratislave, Slovak Republic Prof. Martin Krajčovič University of Žilina, Slovak Republic Prof. Robert Kucęba Politechnika Częstochowska, Poland Dr. Agnieszka Kujawińska Poznan University of Technology, Poland Dr. Edyta Kulej-Dudek Politechnika Częstochowska, Poland Prof. Christian Landschützer Graz University of Technology, Austria Dr. Anna Lewandowska-Ciszek Poznan University of Economics and Business, Poland Dr. Damjan Maletič University of Maribor, Slovenia Prof. Marcela Malindzakova Technical University, Slovak Republic Prof. Józef Matuszek The Silesian Technical University Prof. Janusz Mleczko University of Bielsko-Biala Dr. Rami Mokao MIS - Management Information Systems, HIAST, Syria Prof. Maria Elena Nenni University of Naples, Italy Dr. Nor Hasrul Akhmal Ngadiman Universiti Teknologi Malaysia, Malaysia Dr. Dinh Son Nguyen University of Science and Technology, Viet Nam Dr. Duc Duy Nguyen Ho Chi Minh Technology University (HCMUT), Viet Nam Dr. Filscha Nurprihatin Sampoerna University, Indonesia Prof. ass. Filip Osiński Poznan University of Technology, Poland Dr. Ivan Pavlenko Sumy State University, Ukraine Robert Perkin BorgWarner, United States Prof. Alin Pop University of Oradea, Romania Prof. Ravipudi Venkata Rao National Institute of Technology, India Marta Rinaldi University of Campania, Italy Dr. Michał Rogalewicz Poznan University of Technology, Poland Prof. David Romero Tecnológico de Monterrey, Mexico Prof. Elmadani Saad Hassan First university of Settat, Morocco Prof. Krzysztof Santarek Warsaw University of Technology, Poland Prof. shankar sehgal Panjab University Chandigarh, India Dr. Robert Sika Poznan University of Technology, Poland Dr. Chansiri Singhtaun Kasetsart University, Thailand Prof. Bożena Skołud Silesian University of Technology, Poland Lucjan Sobiesław Jagiellonian University, Poland Dr. Fabiana Tornese University of Salento, Italy Prof. Stefan Trzcielinski Poznan University of Technology, Poland Amit Kumar Tyagi Centre for Advanced Data Science, India Dr. Cang Vo Binh Duong University, Viet Nam Dr. Jaroslav Vrchota University of South Bohemia České Budějovice, Czech Republic Dr. Radosław Wichniarek Poznan University of Technology, Poland Prof. Ewa Więcek-Janka Poznan University of Technology, Poland Prof. Josef Zajac Uniwersytet Techniczny w Koszycach, Slovak Republic Dr. Aurora Zen Universidade Federal do Rio Grande do Sul, Brazil

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