Management and Production Engineering Review

Zawartość

Management and Production Engineering Review | 2023 | vol. 14 | No 3

Abstrakt

The dynamically changing environment forces companies to introduce changes in production processes and the need for employees to adapt quickly to new tasks. Therefore, it is expected to implement solutions to support employees. The system that will manage the work on a manufacturing line should work in real time to support the ongoing activities and, to be implemented in SMEs, must not be expensive. The authors identified important system components and expected functionalities. The methodology of the work is based on humancentered design. A concept of a cyber-physical system is proposed. The aim of the proposed edge computing-based system is to manage the work on the manufacturing line in which certain elements communicate with each other to achieve common goals. The paper presents what the system can consist of, how information and knowledge are managed in the system, and what can be the benefits for enterprises from its implementation.
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Autorzy i Afiliacje

Dorota Stadnicka
Andrea BONCI
Sauro LONGHI
Massimiliano PIRANI
Grzegorz DEC

Abstrakt

The article presents the results of the simulation studies concerning the impact of random production interruptions on the efficiency of multi-spindle machining centers. Four different machining center configuration models were developed using a dedicated class of stochastic Petri nets. In addition to the number of machine spindles, the number of simultaneously mounted parts, loading time of parts, their machining time, and reliability parameters regarding the frequency of machine interruptions caused by random factors were also taken into account as model parameters. A series of virtual tests was carried out for machining processes over a period of 1000 hours of operation. Analysis of the results confirmed the purpose of conducting simulation tests prior to making a decision regarding the purchase of a multispindle milling center. This work fills the existing research gap, as there are no examples in the technical literature of evaluating the effectiveness of multi-spindle machining centers.
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Autorzy i Afiliacje

Roman STRYCZEK
1

  1. University of Bielsko-Biala, Faculty of Mechanical Engineering and Computer Science, Poland

Abstrakt

This article focuses on the issue of innovation within enterprise strategies, with a particular emphasis on the value-creation process and the multidimensional nature of innovation. To analyze this, the focal point was the overall structure of business operations, with a particular emphasis on the involvement of employees. It was also noted that economic entities are subject to generic, market, and HR conditions. The main objective of this article is to highlight the relationships between innovation within enterprises and the conditions under which they operate. This includes the challenges faced by employees in generating creative and innovative ideas and implementing new solutions. Two research hypotheses were put forward in this article. The first hypothesis, H1, assumes that a company’s overall profile is a crucial determinant in creating value through innovation within organizations. The second hypothesis, H2, assumes that market requirements in terms of creating customer value will drive employees to implement innovation defined in the company’s strategies. The importance of open innovation in business strategic decisions was also highlighted. Using statistical methods, these hypotheses were verified through a survey conducted in various enterprises.
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Autorzy i Afiliacje

Beata SKOWRON-GRABOWSKA

Abstrakt

The Job Shop scheduling problem is widely used in industry and has been the subject of study by several researchers with the aim of optimizing work sequences. This case study provides an overview of genetic algorithms, which have great potential for solving this type of combinatorial problem. The method will be applied manually during this study to understand the procedure and process of executing programs based on genetic algorithms. This problem requires strong decision analysis throughout the process due to the numerous choices and allocations of jobs to machines at specific times, in a specific order, and over a given duration. This operation is carried out at the operational level, and research must find an intelligent method to identify the best and most optimal combination. This article presents genetic algorithms in detail to explain their usage and to understand the compilation method of an intelligent program based on genetic algorithms. By the end of the article, the genetic algorithm method will have proven its performance in the search for the optimal solution to achieve the most optimal job sequence scenario.
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Autorzy i Afiliacje

Habbadi SAHAR
1
Brahim HERROU
Souhail SEKKAT
2

  1. Sidi Mohamed Ben Abdellah University, Faculté des Sciences Techniques de Fès, Industrial Engineering Department, Morocco
  2. Ecole Nationale Supérieure d’Arts et Métiers ENSAM MEKNES, Industrial Engineering Department, Morocco

Abstrakt

The severe consequences of climate change have left many unanswered questions about the environmental performance of businesses. Appropriate measures must be taken to tackle the problems conquered due to climate change. This study supports exploring the factors needed to get the Employees Environmental Performance (EEP). It includes Green Human Resources (GHR), Green Creativity (GC) and Proactive Environmental Management (PEM). The relationship among the variables was explored in the existing literature. This study aims to test the relationship between GHR and GC. Further, it also examined the mediating role of GC and moderating role of PEM. For this purpose, data were collected from employees of manufacturing companies (automobiles, food processing, chemicals, textiles, machinery and equipment) in India. More specifically, ISO 14001-certified companies were selected. Among the different institutions, 35 are manufacturing in India. Out of 35, 24 companies agreed to conduct a survey in their company. Totally 5376 employees were considered as a population for the study. With 95% confidence interval, 400 samples were selected, and a questionnaire was distributed among them using simple random sampling. 305 (76.25%) cases finalized for further analysis. The collected data analyzed using PLS-SEM with R software. The results highlighted the essential role of GHR practices in the manufacturing industry to enhance EEP since GHR positively influences EEP. Moreover, it was found that GC partially mediates the relationship between GHR and EEP. It indicates the importance of GC’s existence in increasing EEP through GHR. Finally, it was also found that PEM moderates the relationship between GHR and EEP. It suggested the role of pro-environmental management and their active pace in improving EEP. Managerial implications and future scope were discussed in this study.
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Autorzy i Afiliacje

V. SATHYAMOORTHI
1
S.B. INAYATH AHAMED
1
A. HARIHARASUDAN
2
Katarzyna SZCZEPANSKA-WOSZCZYNA
3
Sebastian KOT
4 5

  1. Kalasalingam Business School, Kalasalingam Academy of Research and Education, Department of BusinessAdministration, India
  2. Kalasalingam Academy of Research and Education, Faculty of English, India
  3. WSB University, Faculty of Applied Sciences, Department of Management, Poland
  4. North-West University, Faculty of Economics and Management Sciences, South Africa
  5. Czestochowa University of Technology, Management Faculty, Czestochowa, Poland

Abstrakt

The article presents the possibility of increasing the production efficiency in an enterprise dealing in the production of lounge furniture. The literature review shows that Poland is the sixth country in the world in the amount of furniture production. It is also one of the leading exporters of upholstered furniture in Europe. Each year, the value of furniture sales production increases by a few percentage points. Due to the constantly growing customer orders, many companies in this industry are struggling with delays in delivering products to customers. This problem also occurs in the analyzed company. While analyzing the production process, the occurrence of a large number of non-conformities was also noticed. An analysis was carried out to indicate the number of non-conformities and the place of their occurrence. The FMEA analysis was used, which indicated which non-conformities are the most important, and the 5Why method, which allowed to indicate the cause of their occurrence. The analysis of production processes showed which activities do not bring added value and how they can be eliminated at no cost. All these measures contributed to increasing the efficiency of the production of lounge furniture.
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Autorzy i Afiliacje

Anna KARWASZ
Paulina REWERS
Adrianna CHRZANOWSKA
Natalia CHWACINSKA

Abstrakt

The research aims to determine the effect of green maintenance “energy efficiency, health and safety risks, and environmental compatibility“ on environmental performance “environmental condition, operational performance, and management performance“ as analytical research in oil products distribution company by distributing a questionnaire distributed to 46 people. The research problem lies in the weak use of traditional maintenance technology, which negatively affects the environment. The research found that the research company’s reliance on green maintenance is weak in adopting new mechanisms and technologies to enhance environmental performance and the weakness of the efforts exerted by management in the field of environmental performance and the failure to involve its staff in training programs to create a culture of preserving the environment within the culture of the organization. The research recommends the need to use machines with low energy consumption and reduce the volume of pollution.
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Autorzy i Afiliacje

Amer Abdul Latif KADHUM
Huda Adeeb HAMEED
1

  1. Rusafa Institute of Administration, Department of Materials Management Technologies, Iraq

Abstrakt

Maintenance involves a large amount of data management. Although many tools, strategies, and systems, have been developed to organize the maintenance information resources, SMEs have not found the same benefits as large companies due to their inherent characteristics and, above all, the maturity level of the maintenance department. Maturity models are useful tools for assessing the maturity of maintenance information practices; however, existing models are not suitable for any type of business context, as they required companies to have a clear organizational structure and definite informative infrastructure. Moreover, they do not assist in identifying and defining actions to reach the highest level. This paper proposes a model for assessing and improving maintenance management information practices. It allows a clear measure of the maturity of the maintenance information management practices in industrial contexts and provides improvement actions identifying the information and data needed to enhance maintenance management information practices.
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Autorzy i Afiliacje

Alessia Maria Rosaria Tortora
ORCID: ORCID
Valentina DI PASQUALE
Raffaele IANNONE

Abstrakt

With continuous and rapid change in both technology and businesses due to climate change and governments regulations, Green Supply Chain Management (GSCM) is receiving increasing attentions during last two decades. GSCM refers to the abilities of businesses to enhance operations and sustain environment at the same time and efficiently. In this paper, a comprehensive review of GSCM development and applications is conducted. This review aims to explore the recent developments of GSCM and necessity of adoption GSCM applications in businesses to insure sustainable development. First, a descriptive analysis of 796 paper adopted from Scopus database was conducted to review research on GSCM. Next, a bibliometric analysis of 235 paper was conducted to determine the recent trends and areas of GSCM and related keywords by using VOSviewer software. Then, a content analysis was carried out of 53 review papers by adopting WordStat software to analyze the impact of GSCM on related subjects and trends of GSCM. Finally, a summary analysis of GSCM advantages and challenges was conducted based on fundamental GSCM’s objectives. Results reveal that researches on GSCM are in upward curve with limitations in implementing GSCM applications due to high cost, and lack of sufficient experiences. Results also reveal positive moderate correlation of GSCM with environment, performance, sustainability and management practices indicating the limited implementation of GSCM applications. To further explore these limitations, this study summarized the recent challenges and future potential directions of GSCM in both businesses and environments.
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Autorzy i Afiliacje

Ali Mohsin Salim Ba Awain
Abdullah M. Al-Ansi
Mohammed Jaboob

Abstrakt

This study uses statistical quality control (SQC) and overall equipment effectiveness (OEE) to examine quality at a porcelain production firm. The study is motivated by the most frequently broken machines in 2019, is the Jigger 01 machine. This paper aims to evaluate the machine’s effectiveness using the OEE method. The OEE determines the scope of the problem to be solved using the SQC method. The average OEE value in 2019 was 70%. Based on the SQC method, the product defect produced is still under control. However, the average defect is still above the company’s tolerance limit of 10%. Consequently, this study offers enhancements utilizing the Failure Mode Effect Analysis (FMEA) technique. The results indicate that human resources and machines caused defective products. This paper contributes to providing several improvements that the company can apply to maximize its quality control analysis. After implementing the improvement, the OEE value increases to 74%.
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Autorzy i Afiliacje

Filscha Nurprihatin
Glisina Dwinoor Rembulan
Johanes Fernandes Andry
Sarah Immanuella
Ivana Tita Bella Widiwati

Abstrakt

This work is interested to optimize the job shop scheduling problem with a no wait constraint. This constraint occurs when two consecutive operations in a job must be processed without any waiting time either on or between machines. The no wait job shop scheduling problem is a combinatorial optimization problem. Therefore, the study presented here is focused on solving this problem by proposing strategy for making Jaya algorithm applicable for handling optimization of this type of problems and to find processing sequence that minimizes the makespan (Cmax). Several benchmarks are used to analyze the performance of this algorithm compared to the best-known solutions.
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Autorzy i Afiliacje

Aimade Eddine BOUGLOULA

Abstrakt

The Controlled Atmosphere Brazing (CAB) process together with NOCOLOKr flux is associated with the occurrence of potassium fluoroaluminate residue inside the cooler. Excess of this flux residue is known to cause gelation of the coolant, which deteriorates the efficiency of the cooler. The flux residue amount is most often measured via Atomic Absorption Spectroscopy (AAS), in accordance with DIN ISO 9964-3. This is a time-consuming measurement that requires the use of specialized equipment and costly solvents. The following article presents two innovative methods for flux residue measurement after CAB process. They include Scanning Electron Microscopy (SEM) with Energy-Dispersive X-ray Spectroscopy (EDS) and Reflected Light Microscopy (RLM) with Differential Interference Contrast (DIC) module. The accuracy of these methods has been compared to the reference AAS method to evaluate their potential as alternative, less expensive, and quicker measurement methods for determining the quantity of flux residue.
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Autorzy i Afiliacje

Sławomir NADOLNY
Adam Hamrol
ORCID: ORCID
Michał Rogalewicz
ORCID: ORCID
Adam Piasecki
ORCID: ORCID

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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

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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

Name Surname Affiliation Hind Ali University of Technology, Iraq Katarzyna Antosz Rzeszow University of Technology, Poland Bagus Arthaya Mechatronics Engineering Universitas Parahyangan, Indonesia Sarini Azizan Australian National University, Australia Zbigniew Banaszak Management and Computer Science, Koszalin University of Technology, Poland Lucia Bednarova Technical University of Kosice, Slovak Republic Kamila Borsekova UNIVERZITA MATEJA BELA V BANSKEJ BYSTRICI, Slovak Republic RACHID Boutarfa Hassan First University, Morocco Anna Burduk Wrocław University of Science and Technology, Poland Virginia Casey Universidad Nacional de Rosario, Argentina Claudiu Cicea Bucharest University of Economic Studies Romania, Romania Ömer Cora Karadeniz Technical University, Turkey Wiesław Danielak Uniwersytet Zielonogórski, Poland" Jacek Diakun Poznan University of Technology, Poland Ewa Dostatni Poznan University of Technology, Poland Marek Dźwiarek Milan Edl University of West Bohemia, Czech Republic Joanna Ejdys Bialystok University of Technology, Poland Abdellah El barkany Sidi Mohamed Ben Abdellah University Faculty of Science and Technology of Fez, Morocco Francesco Facchini Università degli Studi di Bari, Italy Mária Magdolna Farkasné Fekete Szent István University, Hungary Çetin Fatih Başkent Üniversitesi, Turkey Mose Gallo Materials and Industrial Production Engineering, University of Napoli Federico, Italy Mit Gandhi Gujarat Gas Limited, India Józef Gawlik Cracow University of Technology, Institut of Production Engineering, Poland Andrzej Gessner Politechnika Poznańska, Poland Pedro Glass Universitatea Valahia din Targoviste, Romania Arkadiusz Gola Lublin University of Technology, Faculty of Mechanical Engineering, Poland Alireza Goli Department of industrial engineering, Yazd university, Yazd, Iran Iran, Iran Magdalena Graczyk-Kucharska Politechnika Poznańska, Poland Damian Grajewski Poznan University of Technology, Poland Łukasz Grudzień Production Engineering Department, Poznan University of Technology, Poland Patrik Grznár University of Žilina, Slovak Republic" Anouar Hallioui INTI International University, Malaysia Ali HAMIDOGLU Adam Hamrol Mechanical Engineering, Poznan University of Technology, Poland ni luh putu hariastuti itats, Indonesia Christian Harito Bina Nusantara University, Indonesia Muatazz Hazza "Mechanical and Industrial Engineering Department; School of Engineering. American University of Ras Al Khaimah. United Arab Emirates, United Arab Emirates" Ali Jaboob Dhofar University, Oman Małgorzata Jasiulewicz-Kaczmarek Poznan University of Technology, Poland Oláh Judit University of Debrecen, Hungary Jan Klimek Szkoła Główna Handlowa, Poland Nataliia Klymenko National University of Life and Environmental Sciences of Ukraine, Ukraine Peter Kostal Slovenská Technická Univerzita V Bratislave, Slovak Republic Martin Krajčovič University of Žilina, Slovak Republic Robert Kucęba Wydział Zarządzania, Politechnika Częstochowska, Poland Agnieszka Kujawińska Poznan University of Technology Edyta Kulej-Dudek Politechnika Częstochowska, Poland Sławomir Kłos Institute of Mechanical Engineering, University of Zielona Góra, Poland Christian Landschützer Graz University of Technology, Austria Anna Lewandowska-Ciszek Department of Logistics, Poznań University of Economics and Business, Poland Damjan Maletič University of Maribor, Faculty of Organizational Sciences, Slovenia Marcela Malindzakova Technical University, Slovak Republic Józef Matuszek Janusz MLECZKO Rami Mokao MIS - Management Information Systems, HIAST, Syria Maria Elena Nenni University of Naples, Italy Nor Hasrul Akhmal Ngadiman School of Mechanical Engineering, Universiti Teknologi Malaysia, Malaysia Dinh Son Nguyen The University of Danang, University of Science and Technology, Viet Nam Duc Duy Nguyen Department of Industrial Systems Engineering,
Ho Chi Minh Technology University (HCMUT), Viet Nam Filscha Nurprihatin Sampoerna University, Indonesia Filip Osiński Poznan University of Technology Ivan Pavlenko Department of General Mechanics and Machine Dynamics, Sumy State University, Ukraine Robert Perkin BorgWarner, United States Alin Pop University of Oradea, Romania Ravipudi Venkata Rao "Department of Mechanical Engineering S. V. National Institute of Technology, Surat, India" Marta Rinaldi University of Campania, Italy Michał Rogalewicz Division of Production Engineering, Institute of Materials Technology, Faculty of Mechanical Engineering, Poznan University of Technology, Poland David Romero Tecnológico de Monterrey, Mexico ELMADANI SAAD Hassan First university of Settat, Morocco Krzysztof Santarek Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, Poland shankar sehgal Panjab University Chandigarh, India Robert Sika Faculty of Mechanical Engineering and Management, Institute of Materials Technology, Poland Chansiri Singhtaun Department of Industrial Engineering, Faculty of Engineering, Kasetsart University, Thailand Bożena Skołud Silesian University of Technology, Poland Lucjan Sobiesław Jagiellonian University, Poland Fabiana TORNESE University of Salento, Italy Stefan Trzcielinski Poznan University of Technology, Poland Amit Kumar Tyagi Centre for Advanced Data Science, India Cang Vo Binh Duong University, Viet Nam Jaroslav Vrchota University of South Bohemia České Budějovice, Faculty of Economics, Department of Management, Studentská, 370 05 České Budějovice, Czech Republic Radosław Wichniarek Poznan University of Technology, Poland Ewa Więcek-Janka Wydział Inżynierii Zarządzania, Politechnika Poznańska, Poland Josef Zajac Uniwersytet Techniczny w Koszycach, Slovak Republic Aurora Zen Universidade Federal do Rio Grande do Sul, Brazil

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