Management and Production Engineering Review

Content

Management and Production Engineering Review | 2021 | vol. 12 | No 3 |

Download PDF Download RIS Download Bibtex

Abstract

Nowadays, the main challenge in maintenance is to establish a dynamic maintenance strategy to significantly track and improve the performance measures of multi-state systems in terms of production, quality, security and even the environment. This paper presents a quantitative approach based on Dynamic Bayesian Network (DBN) to model and evaluate the maintenance of multi-state system and their functional dependencies. According to transition relationships between the system states modeled by the Markov process, a DBN model is established. The objective is to evaluate the reliability and the availability of the system with taking into account the impact of maintenance strategies (perfect repair and imperfect repair). Using the proposed approach, the dynamic probabilities of system states can be determined and the subsystems contributing to system failure can also be identified. A practical application is demonstrated by a case study of a blower system. Through the result of the diagnostic inference, to improve the performances of the blower, the critical components C, F, W, and P should be given more attention. The results indicate also that the perfect repair strategy can improve significantly the performances of the blower, while the imperfect repair strategy cannot degrade the performances in comparison to the perfect repair strategy. These results show the effectiveness of this approach in the context of a predictive evaluation process and in providing the opportunity to evaluate the impact of the choices made on the future measurement of systems performances. Finally, through diagnostic analysis, intervention management and maintenance planning are managed efficiently and optimally.
Go to article

Authors and Affiliations

Zakaria Dahia
Ahmed Bellaouar
Jean-Paul Dron
Download PDF Download RIS Download Bibtex

Abstract

Unrelated Parallel Machines Scheduling Problem (U-PMSP) is a category of discrete optimization problems in which various manufacturing jobs are assigned to identical parallel machines at particular times. In this paper, a specific production scheduling task the U-PMSP with Machine and Job Dependent Setup Times, Availability Constraint, Time Windows and Maintenance Times is introduced. Machines with different capacity limits and maintenance times are available to perform the tasks. After that our problem, the U-PMSP with Machine and Job Dependent Setup Times, Availability Constraints, Time Windows and Maintenance Times is detailed. After that, the applied optimization algorithm and their operators are introduced. The proposed algorithm is the genetic algorithm (GA), and proposed operators are the order crossover, partially matched crossover, cycle crossover and the 2-opt as a mutation operator. Then we prove the efficiency of our algorithm with test results. We also prove the efficiency of the algorithm on our own data set and benchmark data set. The authors conclude that this GA is effective for solving high complexity parallel machine problems.
Go to article

Authors and Affiliations

Anita Agárdi
Károly Nehéz
Download PDF Download RIS Download Bibtex

Abstract

Small and medium-sized enterprises (SMEs) are facing barriers to grow due to the lack of structured procedures for upgrading and allocating the limited resources. To overcome these drawbacks and to improve business capabilities, a structured framework to conduct a comprehensive diagnostic and upgrading study is presented in this paper. The proposed framework involves four phases. First, the external and internal strategic factors, which can affect the enterprises’ performance are evaluated using strategic planning and assessment tools. Second, key upgrade performance indicators are developed and evaluated using multi-attribute rating techniques to guide, evaluate, and track progress of upgrading process. Third, a set of upgrade strategies are generated and evaluated using resource allocation model. Finally, a periodic re-evaluation plan is introduced to monitor the implementation progress. The developed framework for performance evaluation and upgrading is suitable to be used as a structured know-how procedure in manufacturing enterprises and can support entrepreneurs in their strategic decisions. To validate the proposed framework, a data set was collected from a local housecore company. As a result, one package of the efficient frontier strategies that represents the best use of resources was proposed for implementation.
Go to article

Authors and Affiliations

Amer Momani
Tarek Al-Hawari
Sufyan Tahat
Download PDF Download RIS Download Bibtex

Abstract

Occupational risk is closely related to work environment. For the same positions, but in different working conditions threats and level of risk can be different. For this also estimating the degree of damage hazard the largest possible should be adopted effects. However, when estimating probability occurrence of threats should include, among others: working conditions, events from the past, or possible employee behavior (in particular those that may be the cause of an accident at work). The source of the above information may be data from statistics or observations of work stations. The article presents the assessment of occupational risk at the position of the laser cutter operator, which was carried out using the Job Safety Analysis (JSA) method. According to this method, occupational risk is determined on the basis of two parameters, i.e.: consequences of C and probability of consequences P. In turn, the probability of consequences is the sum of three factors: frequency of hazard F, probability of event O and avoidability or damage limitation A.
Go to article

Authors and Affiliations

Michal Palega
Download PDF Download RIS Download Bibtex

Abstract

Warehouse and inventory management is a recurring issue in many of the different supply chains in diverse industries, where the constant changes in the markets have a direct impact on the management of warehouses and inventories, either generating over-stocks or shortages. This paper presents a case study on warehouse and inventory management control. The company under study was having problems in this area, where over-stocks were generated frequently, leading to various incidents, such as having to store finished and packaged product in unsuitable places, with the associated risk of deterioration. To deal with this problem, control tools based on the KPI (Key Performance Indicator) concept were developed. To this end, the corresponding problem and the information management process within the Supply Chain department had to be analyzed. In this case, it was observed that the databases were not synchronized, therefore strategies were proposed to systematize the collection and updating of data. In addition, to summarize the information, we proceeded to the implementation of an interactive form that facilitates the visualization and interpretation of the evolution of the process, and to be able to apply an efficient control on it, and thus to propose corrective actions supported by evidence.
Go to article

Authors and Affiliations

Micaela Marziali
Daniel Alejandro Rossit
Adrián Toncovich
Download PDF Download RIS Download Bibtex

Abstract

Digital twin (DT) is a solution for presenting reality in a virtual world. DTs have been discussed in the literature only recently. The aim of this work is to review and analyse literature connected to DTs. Under a systematic literature review the authors searched databases for the information how DTs can support organization operations and how they can support sustainability of companies. A literature review was performed according to a developed research methodology, which covers research questions and keywords identification, selection criteria and results analysis. Databases, such as Web of Science, Scopus and Science Direct, were searched. The titles, abstracts and keywords were searched for works related to digital twins, sustainable development and manufacturing processes. Moreover, the search was focused on real-time monitoring, data, decision-making etc. The keywords used in the searching process are specified in the methodology. Afterwards, quantitate and qualitative analysis were performed taking into account number of publication, year of publications, type of publication, based on keywords and available information concerning the papers. Deeper analysis was performed on available full texts of the papers. The main goal of this paper was to assess how much the specified problem is discussed in literature in the context of production organizations and real-time and what kind of topics are present in publications to indicate future research needs.
Go to article

Authors and Affiliations

Jerzy Pater
Dorota Stadnicka
Download PDF Download RIS Download Bibtex

Abstract

Management processes in an organization involve decision-making based on many criteria (MCDM), and in this process ranking of variables plays a vital role. This paper presents the analysis of key business issues of an Indian automotive organization using an efficient interpretive ranking (eIRP) approach. This paper integrates the Situation-Actor-Process (SAP) and Learning-Action-Performance (LAP) framework of the organization with eIRP. It evaluates the ranking of actions to be carried out in an organization with respect to performance parameters. The study highlights the area where the organization should focus on achieving desired business excellence. From the analysis, it is revealed that the top-ranked suggested action for the organization is the adoption of energy policy as a core business policy followed by technology management, maintenance management, and the use of information technology for cost management. This case study is one of the few that uses the SAP-LAP framework for ranking the actors and actions of the organization using the eIRP approach, to make MCDM an easy task.
Go to article

Authors and Affiliations

Sumit Kumar
Pardeep Gupta
Download PDF Download RIS Download Bibtex

Abstract

This paper is the first to optimize the friction stir welding (FSW) process considering the Clamp Pitch (mm) and Clamping Torque effect using the Various combinations of parameters were constructed using factorial design and responses, resulting in a comprehensive factorial analysis. Conspicuous changes in the tensile strength, yield strength, hardness, and power profile were observed for all amalgamations of parameters. Significant parameters of the FSW process have been considered in many optimization studies, however, the effect of the Clamp Pitch (mm) and Clamping Torque (Nm) has been never studied. Three levels of three parameters were used in the experiments: Clamp Pitch, tool rotational speed and Clamping Torque. The full factorial analysis was performed, was applied as an approach for selecting the values of the Significant factors of the parameters. For each result the three key parameters were important with p-values of less than 0.05, suggesting their significance in the phase of FSW. Mathematical models built with high R-sq. and least percentage error were adequate for the investigated responses. The findings were gained by important parameter values factors of 30 mm, 1800 rpm and 70 Nm for the take into consideration parameter range for the Clamp Pitch, rotational speed and Clamping Torque respectively.
Go to article

Authors and Affiliations

Ibrahim Sabry
Download PDF Download RIS Download Bibtex

Abstract

In this article conclusions from nearly 10 years of collaboration with Polish and German Engineer-to-Order (ETO) small and medium-sized enterprises (SMEs) from mechanical sector was presented. Research objective was to highlight common organizational problems they are dealing with, which prevent them from transition to Mass Customizers. As a result, a concept of 5 foundations for robust process design was proposed: procedures, product selection, machining philosophy, planning and storage, cross-functional teams. More practical solutions from this field have to be published to fill the research gap.
Go to article

Authors and Affiliations

Bartosz Ciesla
Janusz Mleczko
Download PDF Download RIS Download Bibtex

Abstract

The article is devoted to the development of a multicomponent adaptive strategy for managing Russian high-tech enterprises in modern crisis conditions. Adaptability and flexibility are considered as the most important indicators of the efficiency of structures, their ability to ensure sustainable operation and effective innovative development of high-tech enterprises. A significant place in the article is devoted to possible approaches and methods of adaptive management of the enterprise in crisis, with the help of which changes in the internal and external environment are monitored, which can be expected and random, make current operational decisions that contribute to the achievement of pre-set goals based on correction of certain tasks. The questions about the quality of adaptation, adaptive characteristics of the structure and their consistency with the level and quality of adaptation of other elements of the enterprise, conjugation of adaptability and flexibility and pace of changes are considered. A number of modern techniques related to the development of strategies for the development of high-tech enterprises in crisis conditions are analyzed. The necessity of conducting a comprehensive accounting of the crisis as the main factor associated with the uncertainty of the external environment at the stage of strategic analysis is substantiated. There is an option, in which it is possible to include the crisis and its main characteristics into the strategic three competence model of the enterprise, as an additional controlled parameter. There is a general specificity of the formation of the strategy of a high-tech enterprise in conditions of risk and uncertainty.
Go to article

Authors and Affiliations

Sergey V. Novikov
Gennady V. Tikhonov
Download PDF Download RIS Download Bibtex

Abstract

Wire electrical discharge machining (WEDM) is a non-conventional material-removal process where a continuously travelling electrically conductive wire is used as an electrode to erode material from a workpiece. To explore its fullest machining potential, there is always a requirement to examine the effects of its varied input parameters on the responses and resolve the best parametric setting. This paper proposes parametric analysis of a WEDM process by applying non-parametric decision tree algorithm, based on a past experimental dataset. Two decision tree-based classification methods, i.e. classification and regression tree (CART) and Chi-squared automatic interaction detection (CHAID) are considered here as the data mining tools to examine the influences of six WEDM process parameters on four responses, and identify the most preferred parametric mix to help in achieving the desired response values. The developed decision trees recognize pulse-on time as the most indicative WEDM process parameter impacting almost all the responses. Furthermore, a comparative analysis on the classification performance of CART and CHAID algorithms demonstrates the superiority of CART with higher overall classification accuracy and lower prediction risk.
Go to article

Authors and Affiliations

Shruti Sudhakar Dandge
Shankar Chakraborty
Download PDF Download RIS Download Bibtex

Abstract

Supply chain management emerged as the ultimate management strategy to ensure the competitive advantages of companies in their markets. Suppliers are considered as inevitable sources of external risks in modern supply chains. In this respect, resonance is essential for the ability to adapt in resonance to disturbances and to restore in choosing suppliers. As suppliers of critical resources are vulnerable, choosing better suppliers to create resilience, and thereby reducing the risks in the supply chain as a whole. In recent years, emphasis has been placed on supply chain resilience and resilient suppliers, but few studies have been conducted on the evaluation and selection of resilient suppliers with multi-criteria decision making models. The main purposes of this study are a broad review of the literature on the resilient factor, factorization, efficiency of key factors in the reliance of suppliers and the ranking of resilient suppliers using the combined approach of SWARA and WASPAS. For this purpose, after a comprehensive review of Literature interview with the experts of petrochemical upstream industry, six key factors and overall resilience of suppliers were identified in eighteen factors. Then the weight of the dimensions was determined by using the SWARA method. The output of the method showed that supplier accountability and key performance factors were the most important factors in assessing the resilience of suppliers. Using the supporting method, five resilient suppliers were evaluated based on six dimensions and the final ranking of suppliers was determined. With this ranking, the industry will be a major step towards improving supply chain and increasing suppliers’ resilience to address disruptions and risks, improve supply and achieve competitive advantage and satisfy the consumers’ needs.
Go to article

Authors and Affiliations

Mehdi Ajalli
Nima Saberifard
Babak Zinati

Instructions for authors

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 (office@mper.org). 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.
APC
In order to provide free access to readers, and to cover the costs of copyediting, typesetting, long-term archiving, and journal management, an article processing charge (APC) of 800 PLN (about 180 Euro, VAT included) for 10-page article applies to papers accepted after peer review. Each additional page of the article (over 10 pages) costs 80 PLN (about 18 Euro, VAT included). There is no submission charge.
The above article processing charge is valid for articles accepted for publication since the first issue in 2021 year.

Guidelines for Authors

Template for Authors




Additional info

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/.

Publication Ethics Policy

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 (office@mper.org). 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 (e-mail: office@mper.org) 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


This page uses 'cookies'. Learn more