Management and Production Engineering Review

Content

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

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Abstract

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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Authors and Affiliations

Dorota Stadnicka
Andrea BONCI
Sauro LONGHI
Massimiliano PIRANI
Grzegorz DEC
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Abstract

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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Authors and Affiliations

Roman STRYCZEK
1

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

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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Authors and Affiliations

Beata SKOWRON-GRABOWSKA
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Abstract

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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Authors and Affiliations

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
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Abstract

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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Authors and Affiliations

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
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Abstract

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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Authors and Affiliations

Anna KARWASZ
Paulina REWERS
Adrianna CHRZANOWSKA
Natalia CHWACINSKA
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Abstract

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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Authors and Affiliations

Amer Abdul Latif KADHUM
Huda Adeeb HAMEED
1

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

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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Authors and Affiliations

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

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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Authors and Affiliations

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

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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Authors and Affiliations

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

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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Authors and Affiliations

Aimade Eddine BOUGLOULA
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Abstract

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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Authors and Affiliations

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

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REVIEW PROCESS

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). 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 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 system ( 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 material formatted in the MPER format must be unpublished and not under submission elsewhere.

REVIEWERS
Once a year a list of co-operating reviewers is publish in electronic version of MPER. All articles published in MPER are published in open access.


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Maximum length of the article is 18 pages (using MPER template).
There is no submission charge.

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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.
For Editor-in-Chief: The editor is responsible for decision which of the articles submitted to the journal should be published. The editor and editorial board and office must not disclose any information about a submitted manuscript to anyone other than the corresponding author, reviewers, potential reviewers, other editorial advisers, and the publisher, as appropriate. Unpublished materials disclosed in a submitted manuscript must not be used in an editor's own research without the express written consent of the author.
For Reviewers: Peer review helps the editor in making editorial decisions and also assist the author in improving the paper. Any selected referee who feels unqualified to review the research reported in a manuscript or knows that its prompt review will be impossible should notify the editor and excuse himself from the review process. Any manuscripts received for review must be treated as confidential documents. They must not be shown to or discussed with others except as authorized by the editor. Reviews should be conducted objectively. Personal criticism of the author is inappropriate. Reviewers should identify relevant published work that has not been cited by the authors. Any statement that an observation, derivation, or argument had been previously reported should be accompanied by the relevant citation. A reviewer should also call to the editor's attention any substantial similarity or overlap between the manuscript under consideration and any other published paper of which they have personal knowledge. Information obtained through peer review must be kept confidential and not used for personal advantage. Reviewers should not consider manuscripts in which they have conflicts of interest resulting from competitive, collaborative, or other relationships or connections with any of the authors, companies, or institutions connected to the papers. Other sources: http://apem-journal.org/

Peer-review Procedure

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). 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

Reviewers

Zahid Hussain Agha Sarhad University of Science and IT Peshawar Pakistan
Mehmet Ali Akinlar Yildiz Technical University Turkey
Zoran Anisic University of Novi Sad, Faculty of Technical Sciences Serbia
Katarzyna Antosz Rzeszow University of Technology Poland
Rajesh As Maharaja Institute of Technology Thandavapura India
Erfan Babaee Tirkolaee Mazandaran University of Science and Technology Iran
Zbigniew Banaszak Koszalin University of Technology Poland
Jolanta Baran Silesian University of Technology Poland
Mariusz Bednarek WSB Warszawa Poland
Srinivasa Murthy Boorla Grupo Antolin Spain
Oumaima Bounou FST-Fez Marocco
Robert Cep VSB-TU OSTRAVA Czech Republic
Fatih Çetin Niğde Ömer Halisdemir University Turkey
Claudiu Cicea Bucharest University of Economic Studies Romania
Pedro Cunha Instituto Politécnico de Setúbal Portugal
Szymon Cyfert Poznań University of Economics and Business Poland
Asta Daunorienė Assoc. prof., Kaunas University of Technology Lithuania
Ahmed Deif Associate Prof. California Polytechnic State University USA
Yuliia Denysenko Sumy State University Ukraine
Jacek Diakun Poznań University of Technology Poland
Ewa Dostatni Poznan University of Technology Poland
Joanna Duda AGH University of Science and Technology Poland
Milan Edl University of West Bohemia Czech Republic
Joanna Ejdys Bialystok University of Technology Poland
Nurprihatin Filscha Department of Industrial Engineering, Universitas Bunda Mulia Indonesia
Adi Fitra Magister Industrial Engineering ,Mercubuana University Indonesia
Mosè Gallo Department of Chemical, Materials and Industrial Production Engineering, University of Napoli Federico II Italy
Józef Gawlik Cracow Univesity of Technology Poland
Andrzej Gessner Poznan University of Technology Poland
Arkadiusz Gola Lublin University of Technology, Poland Poland
Alireza Goli Department of industrial engineering, Yazd university, Yazd, Iran Iran
Błażej Góralski Poznan University of Technology Chair of Production Engineering Poland
Pop Grigore Marian Technical university of Cluj-Napoca Romania
Łukasz Grudzień Poznan University of Technology Poland
Vitalii Ivanov Sumy State University Ukraine
Małgorzata Jasiulewicz-Kaczmarek Poznan University of Technology Poland
Jozef Jurko Technical University in Košice Poland
Oksana Karpenko RUDN University Russia
Anna Karwasz Poznan University of Technology Poland
Sławomir Klos University of Zielona Góra, Institute of Mechanical Engineering Poland
Remigiusz Kozlowski University of Lodz Poland
Stanisław Krzyżaniak Poznań School of Logistics Poland
Anna Lewandowska-Ciszek State University of Applied Sciences in Konin Poland
Jerzy Lewandowski Warsaw University of Technology Poland
Anna Lis Gdańsk University of Technology Poland
Reza Lotfi Department of industrial engineering Yazd University Iran
Sylwia Łęgowik-Świącik Czestochowa University of Technology Poland
Iulian Malcoci PhD, Associate Professor / Mechanical Engineering Moldova
Damjan Maletic University of Maribor, Faculty of Organizational Sciences Slovenia
Paweł Mielcarek Poznań University of Economics and Business Poland
Anna Nagyova Technical University of Kosice Slovakia
Andrei Stefan Nestian Alexandru Ioan Cuza University Iasi, Romania Romania
Filip Osiński Poznan University of Technology Poland
Ivan Pavlenko Sumy State University Ukraine
Dragan Peraković University of Zagreb, Faculty of transport and traffic sciences Croatia
Niles Perera University of Moratuwa Sri Lanka
Jan Pitel Technical University of Kosice, Faculty of Manufacturing Technologies, Slovakia Slovakia
Paulina Rewers Poznan University od Technology Poland
Piotr Rogala Uniwersytet Ekonomiczny we Wrocłąwiu Poland
Izabela Rojek Kazimierz WIelki University Poland
Łukasz Rymaniak Poznan University of Technology Poland
Krzysztof Santarek Politechnika Warszawska Poland
Michał Sąsiadek Uniwersytet Zielonogórski Poland
Shah Rukh Shakeel University of Vaasa Finland Finland
Parveen Sharma Lovely Professional University Phagwara India
Dorota Stadnicka Rzeszow University of Technology Poland
Binod Timilsina University of Vaasa Finland
Justyna Trojanowska Poznan University of Technology Poland
Stefan Trzcielinski Poznan University of Technology, Faculty of Engineering Management Poland
Mariusz Uchroński Wroclaw University of Science and Technology Poland
Nicolae Stelian Ungureanu Technical University of Cluj-Napoca , Romania Romania
Wiesław Urban Politechnika Białostocka Poland
Wiesław Urban Bialystok University of Technology Poland
Gerhard-Wilhelm Weber FEM, PUT Poland
Ewa Więcek-Janka PUT Poland
Marek Wirkus Politechnika Gdańska, Wydział Zarządzenia i Ekonomii Poland
Rika Yunitarini Trunojoyo University Indonesia Indonesia
Jozef Zajac TU Kosice Slovakia
Paweł Zmarzły Kielce University of Technology Poland
Krzysztof Żywicki Poznan University of Technology Poland


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