Management and Production Engineering Review

Content

Management and Production Engineering Review | 2018 | vol. 9 | No 2

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Abstract

A product is referred to as robust when its performance is consistent. In current product robustness paradigms, robustness is the responsibility of engineering design. Drawings and 3D models should be released to manufacturing after applying all the possible robust design principles. But there are no methods referred for manufacturing to carry and improve product robustness after the design freeze. This paper proposes a process of inducing product robustness at all stages of product development from design release to the start of mass production. A manufacturing strategy of absorbing all obvious variations and an approach of turning variations to cancel one another are defined. Verified the application feasibility and established the robustness quantification method at each stage. The theoretical and actual sensitivity of different parameters is identified as indicators. Theoretical and actual performance variation and accuracy of estimation are established as robustness metric. Manufacturing plan alignment to design, complimenting the design and process sensitivities, countering process mean shifts with tool deviations, higher adjustable assembly tools are enablers to achieve product robustness.
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Authors and Affiliations

Murthy S. Boorla
Tobias Eifler
Chris McMahon
Thomas J. Howard
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Abstract

Due to globalized business operations, companies in different economic sectors are part of complex supply chain networks. Their value-added processes comprise product and information flows, e.g. with a focus on manufacturing, service or trade. Until the final product is delivered to the end customer, it needs to pass many different processes in cooperating organizations. As a result, there a lot of business-to-business (B2B) interactions with crossenterprise transactions, often including cross-border communications and sometimes even cross-industry trades with technological and often cultural implications. Especially the interfaces of supply chain networks are prone to inefficiencies, misunderstandings and delays due to a lack of standardized B2B transactions, which leads to waste in form of rework, errors and mistakes. In addition, new customers are hard to find for the manufacturing or trading company, since potential customers are so far limited to a regional network. The advantages of extending the customer base still need to be explored by many organizations. This paper discusses the opportunities by streamlining the communication along supply chain networks in a general fashion and then describes the application in a B2B automotive retail business. A concept of a web-based trading platform, which provides a seamless service for all steps of a convenient and efficient used vehicle remarketing business, is developed. It includes all phases, like offering and price finding in a comprehensive online platform, which also covers further activities, such as logistic services, financial transactions, and a mandatory feedback loop. The suggested B2B vehicle-trading platform enables a quick turnover of each transaction, which is analyzed and optimized based on the application of cross-enterprise Value Stream Management.
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Authors and Affiliations

Peter Plapper
Christof Oberhausen
Meysam Minoufekr
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Abstract

This paper reports the results of an analysis of indicators describing the effectiveness of actions taken and repairs made by the maintenance services in a food industry company which had implemented a new manufacturing execution system (MES) 10 months prior to the study. The application of the above effectiveness indicators plays a significant role in the rationalization of functioning of maintenance services. Therefore, it is vital that they are calculated correctly and interpreted in a way that has a positive effect on the organization of maintenance works. The paper investigates four effectiveness indicators employed by the maintenance services of the company in question, i.e., mean time to failure (MTTF), mean time between failures (MTBF), mean time to repair (MTTR) and overall equipment effectiveness (OEE). The objective of the analysis was to verify the correctness of determination of the above indicators in the analysed company. In addition, the study was to determine whether the use of correctly determined indicators and results interpretation could lead to a higher effectiveness of the actions taken by the maintenance services department. Moreover, the paper presents a diagnosis of problems connected with incorrect determination and visualization of the above-mentioned indicators in the analysed company.
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Authors and Affiliations

Kamil Daniewski
Ewelina Kosicka
Dariusz Mazurkiewicz
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Abstract

One of the key factors of a competitive economy is creating a strong, internationally competitive SME sector. This essay is based on the fact that management tools used in the SME sector are insufficient. With the development of these tools, the competitiveness of companies could improve. According to the literature, using lean thinking has a positive influence on the company’s effectiveness, and also proved that lean approach can be successfully extended out of the car industry, into the limitedly resourced SME sector, too. Even though the topic of lean manufacturing is analysed by many studies, there is a lack of papers dealing with its usage in the SME sector. The originality of this paper lies in analysing the current status of using lean manufacturing practices among the Hungarian SMEs operating in the manufacturing industry. The paper includes an examination about how deeply the elements of lean thinking are present in the Hungarian SME sector, how large the development reserves are, and whether there is a difference between the usage of lean practices. A structured questionnaire was used for data collection. SMEs’ representatives, mostly CEOs and managers from the Hungarian manufacturing industry participated in the survey. The sample contained 128 observations. The study has two control variables, which are the size of the company and the relation to the lean management. The survey brought the following results. First of all, it shows that the level of using lean is low among the Hungarian SMEs. Furthermore, customer orientation is a key factor in the sector, however, there are considerable possibilities for progress by the inner processes and the handling and involvement of the suppliers. Firstly, a good basis to increase the effectiveness could be the creation of thinking in processes influencing the supply chain. Secondly, the development of the leadership and the involvement of the employees at some level are also significant. Key findings is that without state incitement and the involvement of outside experts, progress cannot be expected to spread on a broad scope. The background of the research method was created to fit the available literature and to capable to be used in other countries, too. Moreover, this way the available information can be expanded with a regional dimension, in case further studies are going to be made.
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Authors and Affiliations

Laszló Koloszar
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Abstract

This paper presents the modeling and the resolution of a two dimensional cutting stock problem for a wooden industry. It is about a real problem of minimization of the wood wastes for an industry of furnishing. The raw material to be cut is a set of beams of various sizes. The purpose of the cut is to supply a list of orders characterized by a set of articles of various sizes. The problem is converted into an integer linear program where the decision variables are the numbers of beams to cut according to a set of feasible “patterns”. The designed solution is a heuristic in two stages: – Generation of the feasible patterns by various classic heuristics of the Bin-packing Problem. – Resolution of the integer linear program with the generated patterns as input variables. Moreover, based on this approach, the “Application Cutting Optimization” is developed to allow the immediate resolution of the problem and widening the stock management horizon. To end, a real case is studied to confirm the effectiveness of this approach.
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Authors and Affiliations

Amine Bouaine
Maria Lebbar
Mohamed Ait Ha
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Abstract

The purpose of this research is to develop a Lean-RFID based waste identification system (LRWIS) for small-medium manufacturing companies. The specific objective of this research is to develop and implement the LRWIS from integrating the appropriate lean tools and advanced technologies for wastes reduction and inventory management. Subsequently, the framework was converted into a system for a small-medium sized wood processing manufacturer in Malaysia and integrated into a computerized program. The LRWIS can monitor real-time inventory and production status so the manufacturer can optimise the quantity of the primary products and deliver them on time as per the RFID information of each container. The manufacturer can also make decision instantly for controlling and changing different products in the production progress. The system provides simple constructed framework under a low cost infrastructure, yet it is of practical value in reducing the wastes and also optimising the production process.
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Authors and Affiliations

Zen-Hao Yap
Foon-Siang Low
Heap-Yih Chong
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Abstract

Lean manufacturing has been the most deliberated concept ever since its introduction. Many organization across the world implemented lean concept and witnessed dramatic improvements in all contemporary performance parameters. Lean manufacturing has been a sort of mirage for the Indian automotive industry. The present research investigated the key lean barriers to lean implementation through literature survey, confirmatory factor analysis, multiple regression, and analytic network process. The general factors to lean implementation were inadequate lean planning, resource constraints, half-hearted commitment from management, and behavioral issues. The most important factor in the context of lean implementation in Indian automotive industry was inadequate lean planning found with the help of confirmatory factor analysis and multiple regression analysis. Further analysis of these extracted factors through analytic network process suggested the key lean barriers in Indian automotive industry, starting from the most important were absence of proper lean implementation methodology, lack of customer focus, absence of proper lean measurement system, inadequate capital, improper selection of lean tools & practices, leadership issues, resistance to change, and poorly defined roles & responsibilities. Though literature identifying various lean barriers are available. The novelty of current research emerges from the identification and subsequent prioritization of key lean barriers within Indian automotive SMEs environment. The research assists in smooth transition from traditional to lean system by identifying key barriers and developing customized framework of lean implementation for Indian automotive SMEs.
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Authors and Affiliations

Rupesh Kumar Tiwari
Jeetendra Kumar Tiwari
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Abstract

In small and medium-sized enterprises (SMEs), the ways of operating are dependent on the specific nature of their business activity, while management methods are often used intuitively. The paper shows that specialization, defined as offering products to companies from one or from two to four industries, is of great importance among SMEs in the gas sector. The analysis of the applied management methods allows us to conclude that the most important ones are those related to human capital.
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Authors and Affiliations

Daria Motała
Alexander Y. Bystryakov
Vladimir M. Pizengolts
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Abstract

Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management. The main purpose of Management and Production Engineering Review is to publish the results of cutting-edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing. Papers presenting original research results related to production engineering and management education are also welcomed. We welcome original papers written in English. The Journal also publishes technical briefs, discussions of previously published papers, book reviews, and editorials. Letters to the Editor-in-Chief are highly encouraged.
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Authors and Affiliations

Szymon Cyfert
Paweł Markowski
Paweł Mielcarek

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 (https://www.editorialsystem.com/mper/). 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).
Maximum length of the article is 18 pages (using MPER template).
There is no submission charge.

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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 (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

Reviewers

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

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