Management and Production Engineering Review

Content

Management and Production Engineering Review | 2019 | vol. 10 | No 4 |

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Abstract

In this article we present an industrial application of our mathematical model that integrates planning and scheduling. Our main objective is to concretize our model and compare the reel results with the theoretical ones. Our application is realized on a conditioning line of pharmaceutical products at the ECAM EPMI production laboratory. For this reason and to save time, we used Witness simulation tool. It gives an overall idea of how the line works, the Makespan of each simulation and it highlights areas for improvement. We looked for the best resulting sequence which corresponds to the minest Makespan and total production cost. Then this sequence is applied on the conditioning line of pharmaceutical products for simulation. On the other hand, we program our mathematical model with the parameters of the conditioning line under python in version 3.6 and we adopt a simulation/optimization coupling approach to verify our model.
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Authors and Affiliations

Zineb Ibn Majdoub Hassani
Abdellah El Barkany
Ikram El Abbassi
Abdelouahhab Jabri
Abdel Moumen Darcherif
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Abstract

Studies linking the use of lean practices to company performance have been increasing as markets are becoming more competitive and companies are eager for reducing waste and therefore implementing the Lean Management (LM) philosophy to improve performance. However, results from these studies have found various and different impacts and some light is needed. Extant literature was reviewed and, to achieve the research objective, a metaanalysis of correlations was carried out. The obtained results suggest a positive relationship between some lean practices and performance measures. Furthermore, the presence of moderators influencing the relationship between lean practices and performance outcomes is highlighted in our results. To our best knowledge, this is the first research that proposes a comparison of results from primary studies on Lean implementation, by analysing the linear relationship between lean practices and enterprise performance. It fills this gap and therefore represents an important contribution.
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Authors and Affiliations

Telma I.G. Goncalves
Paulo S.A. Sousa
Maria R.A. Moreira
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Abstract

Maintenance of process plants requires application of good maintenance practice due to a great level of complexity. From a plant maintenance point of view, the most significant activity is turnaround, an activity carried out through project task with long planning process period and very short execution period, which makes it one of the most complex projects of maintenance in general. It is exactly this kind of maintenance that is based on multidisciplinarity which has to be implemented through the system of quality management on all levels of maintenance management. This paper defines the most significant factors determining the process of turnaround projects quality management and its efficiency. Such relation is observed through moderating influence of complexity on process management efficiency in the turnaround project. The empirical research was conducted based on the survey of turnaround project participants in five refineries in Croatia, Italy, Slovakia and Hungary. For exploring the influence of research variables testing of the target relation is carried out by applying logistical regression. Research results confirm the significance of complexity as variable that significantly contributes to the project performance through the moderating influence on success of the project, as well as the influence of an efficient management on a plant turnaround project key results. Beside theoretical indications, practical implications that arise from this research study mainly refers to management process of the industrial plant maintenance project.
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Authors and Affiliations

Marko Fabic
Dusko Pavletic
Graciela Sterpin Valic
Maja Markovic
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Abstract

Today’s manufacturing environment is highly uncertain, and it is continuously changing. It is characterized by shorter life cycles of products and technologies, shorter delivery times, an increased level of customization at the price of a standard product, increased product variety, quality as well as demand variability and intense global competition. Academicians, as well as practitioners, agree that uncertainty will continue to grow in the twenty-first century. To deal with the uncertainties in demand variation and production capacity a manufacturing system is required which can be easily reconfigured when there is a need at low cost. A reconfigurable manufacturing system is such a type of system. In the present work, the concept of the reconfigurable manufacturing system has been discussed and reviewed. It has been compared with dedicated systems and flexible manufacturing systems. Part family formation and barriers of reconfiguration also have been discussed. This work is an attempt to contribute to the conceptual systematization of the reconfigurable manufacturing system and reconfigurability by synthesizing the vast literature available after a systematic review.
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Authors and Affiliations

Durga Prasad
S.C. Jayswal
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Abstract

The Industry 4.0 Concept assumes that the majority of industry’s resources will be able to self-diagnose; this will, therefore, enable predictive maintenance. Numerically controlled machines and devices involved in technological processes should, especially, have the facility to predict breakdown. In the paper, the concept of a predictive maintenance system for a vacuum furnace is presented. The predictive maintenance system is based on analysis of the operating parameters of the system and on the algorithms for identifying emergency states in the furnace. The algorithms will be implemented in the monitoring sub-system of the furnace. Analysis of the operating parameters of vacuum furnaces, recorded in the Cloud will lead to increased reliability and reduced service costs. In the paper, the research methodology for identification of the critical parameters of the predictive maintenance system is proposed. Illustrated examples of the thermographic investigation of a vacuum furnace are given.
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Authors and Affiliations

Sławomir Kłos
Władysław Papacz
Łukasz Piechowicz
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Abstract

The article deals with the subject of recruitment of a candidate for a creative team in manufacturing company. For this purpose, a recruitment model has been developed. It consists of three main stages: preliminary selection of candidates, assessment of the predispositions of the selected candidates to work in a team and creative team building. The authors developed recruitment model of a candidate for a creative team includes a set of tools supporting the assessment at each stage. In the first stage concerning the preliminary selection, a competence Questionnaire for working in a creative team, was developed. The second stage includes the assessment of a candidate’s predispositions with the use of original tools for assessing creativity, a tool supporting the monitoring of employees’ activity in proposing innovative solutions and assessment center methodology. The principles of AC remained the same. The competences that a creative team should possess were adjusted to the tool. Tasks were proposed in order to assess these competences. The tool itself is ready for application. In the subsequent stage of research, the tool in question will be tested in selected companies and evaluated. The last stage concerns the team building. The tool used at this stage is the Questionnaire for assessing the role in the team. While creating a recruitment model of a candidate for a creative team, of the selected companies team leaders were consulted.
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Authors and Affiliations

Kamila Tomczak-Horyn
Barbara Wasilewska
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Abstract

In the assembly industry, almost all components are outsourced or transferred to other parties, in order to meet the need for supply. This is referred as outsourcing of production. The outsourcing of assembly product components is based on a relationship model between the contractor and the industry. However, there is no relationship or communication pattern between the contractor or supplier and the assembler. Hence, in order to accelerate line production and overcome problems with assembly components, the communication path is shortened by providing a direct communication channel between the assembler and the supplier or contractor, in order to communicate any problems that arise during the assembly process by internal communication within the industry. The purpose of this study is the design and development of a web-based software application electronic data interchange (EDI) that can be used as a tool for communication between the assembler and supplier. The EDI application provides formal communication between the assembly industry and the contractor providing the components or parts needed in the assembly process. The main purpose of using EDI technology is to help the assembler to communicate the relevant documents to suppliers quickly, accurately and efficiently. The documents to be communicated are in the form of reports or claims, and are related to non-conformities, errors and component difficulties arising during the assembly process. This research novelty is providing direct communication between assembly and supplier by using EDI application that can give contribution in manufacturing area so it can accelerate the line production in assembly.
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Authors and Affiliations

Rika Yunitarini
Pratikto Pratikto
Purnomo Budi Santoso
Sugiono Santoso
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Abstract

In the two-sided mixed-model assembly line, there is a process of installing two single stations in each position left and right of the assembly line with the combining of the product model. The main aim of this paper is to develop a new mathematical model for the mixed model two-sided assembly line balancing (MTALB) generally occurs in plants producing large-sized high-volume products such as buses or trucks. According to the literature review, authors focus on research gap that indicate in MTALB problem, minimize the length of the line play crucial role in industry space optimization.In this paper, the proposed mathematical model is applied to solve benchmark problems of two-sided mixed-model assembly line balancing problem to maximize the workload on each workstation which tends to increase the compactness in the beginning workstations which also helps to minimize the length of the line. Since the problem is well known as np-hard problem benchmark problem is solved using a branch and bound algorithm on lingo 17.0 solver and based on the computational results, station line effectiveness and efficiency that is obtained by reducing the length of the line in mated stations of the assembly line is increased.
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Authors and Affiliations

Ashish Yadav
Pawan Verma
Sunil Agrawal
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Abstract

In the existent world of continuous production systems, strong attention has been waged to anonymous risk that probably generates significant apprehension. The forecast for net present value is extremely important for any production plant. The objective of this paper is to implement Monte Carlo simulation technique for perceiving the impact of risk and uncertainty in prediction and forecasting company’s profitability. The production unit under study is interested to make the initial investment by installing an additional spray dryer plant. The expressive values acquied from the Monte Carlo technique established a range of certain results. The expected net present value of the cash flow is $14,605, hence the frequency chart outcomes confirmed that there is the highest level of certainty that the company will achieve its target. To forecast the net present value for the next period, the results confirmed that there are 50.73% chances of achieving the outcomes. Considering the minimum and maximum values at 80% certainty level, it was observed that 80% chances exist that expected outcomes will be between $5,830 and $22,587. The model’s sensitivity results validated that cash inflows had a greater sensitivity level of 21.1% and the cash inflows for the next year as 19.7%. Cumulative frequency distribution confirmed that the probability to achieve a maximum value of $23,520 is 90 % and for the value of $6,244 it is about 10 %. These validations suggested that controlling the expenditures, the company’s outflows can also be controlled definitely.
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Authors and Affiliations

Zahid Hussain
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Abstract

This article intends to justify the gap in the research of similarity coefficient driven approaches and cell formation problems (CFP) based on ratio data in cellular manufacturing systems (CMS). The actual implication of ratio data was vaguely addressed in past literature, which has been corrected recently. This research considered that newly projected CFP based on ration data. This study further revealed the lack of interest of researchers in investigation for an appropriate and improved similarity coefficient primarily for CFP based on ratio data. For that matter a novel similarity coefficient named as Generalized Utilization-based Similarity Coefficient (GUSC) is introduced, which scientifically handles ratio data. Thereafter a two-stage cell formation technique is adopted. First, the proposed GUSC based method is employed to obtained efficient machine cells. Second, a novel part allocating heuristic is proposed to obtain effective part families. This proposed approach is successfully verified on the test problems and compared with algorithms based on another similarity coefficient and a recent metaheuristic. The proposed method is shown to obtain 66.67% improved solutions.
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Authors and Affiliations

Tamal Ghosh
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Abstract

The paper presents an example of Instance-Based Learning using a supervised classification method of predicting selected ductile cast iron castings defects. The test used the algorithm of k-nearest neighbours, which was implemented in the authors’ computer application. To ensure its proper work it is necessary to have historical data of casting parameter values registered during casting processes in a foundry (mould sand, pouring process, chemical composition) as well as the percentage share of defective castings (unrepairable casting defects). The result of an algorithm is a report with five most possible scenarios in terms of occurrence of a cast iron casting defects and their quantity and occurrence percentage in the casts series. During the algorithm testing, weights were adjusted for independent variables involved in the dependent variables learning process. The algorithms used to process numerous data sets should be characterized by high efficiency, which should be a priority when designing applications to be implemented in industry. As it turns out in the presented mathematical instance-based learning, the best quality of fit occurs for specific values of accepted weights (set #5) for number k = 5 nearest neighbours and taking into account the search criterion according to “product index”.
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Authors and Affiliations

Robert Sika
Damian Szajewski
Jakub Hajkowski
Paweł Popielarski
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Abstract

Current fast development requires continuous improvement of employees’ skills and knowledge. Therefore, companies are looking for the best way for improving the employees’ qualifications and understanding of new concepts and tools which have to be implemented in manufacturing areas. One method employs gamification for this purpose. The aim of this paper is to present how gamification can increase the acquisition of knowledge concerning lean manufacturing concept implementation. Gamification is an active learning approach for people who will understand the subject easier by ‘feeling’ and ‘touching’ personally the analysed problems. The research utilized a questionnaire which assessed the game participants’ engagement level. The assessment focused specifically on the participants’ motivation, cognitive processing and social aspects. The participants were also examined before and after the game in order to assess the increase of their understanding of different lean manufacturing topics and tools. Five different games with different groups of participants were played. The results confirmed the hypothesis that gamification has a positive impact on the knowledge acquisition as well as on motivation, cognitive processing and social aspects. Finally, various insights on how to better design, conduct and utilize gamification in the similar technical context are presented.
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Authors and Affiliations

Dorota Stadnicka
Ahmed Deif
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Abstract

Time-of-use (TOU) electricity pricing has been applied in many countries around the world to encourage manufacturers to reduce their electricity consumption from peak periods to off-peak periods. This paper investigates a new model of Optimizing Electricity costs during Integrated Scheduling of Jobs and Stochastic Preventive Maintenance under time of-use (TOU) electricity pricing scheme in unrelated parallel machine, in which the electricity price varies throughout a day. The problem lies in assigning a group of jobs, the flexible intervals of preventive maintenance to a set of unrelated parallel machines and then scheduling of jobs and flexible preventive maintenance on each separate machine so as to minimize the total electricity cost. We build an improved continuous-time mixed-integer linear programming (MILP) model for the problem. To the best of our knowledge, no papers considering both production scheduling and Stochastic Preventive Maintenance under time of-use (TOU) electricity pricing scheme with minimization total Electricity costs in unrelated parallel machine. To evaluate the performance of this model, computational experiments are presented, and numerical results are given using the software CPLEX and MATLAB with then discussed.
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Authors and Affiliations

Sadiqi Assia
El Abbassi Ikram
El Barkany Abdellah
Darcherif Moumen
El Biyaali Ahmed
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Abstract

Results of scientific researches show the trend of active using nitrides and borides of transition metals and their combination in developing protective materials. While single elements nitrides have been well studied, their multilayer modifications and combinations require more detailed study. Physical-mechanical properties and structural-phase state of multilayer coating according to the deposition conditions is an important task for the study. It will be the analysis of physical-mechanical and electrical properties of coatings based on refractory metals nitrides, their structure and phase composition and surface morphology depending on the parameters of condensation. It was established the structure and behavior of nano scale coatings based on refractory metals nitrides (Ti, Zr) depending on the size of nano grains, texture, stress occurring in coatings.
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Authors and Affiliations

Anton Panda
Konstiantyn Dyadyura
Tatyana Hovorun
Oleksandr Pylypenko
Marina Dunaeva
Iveta Pandova

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.
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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.

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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


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