Management and Production Engineering Review

Zawartość

Management and Production Engineering Review | 2023 | vol. 14 | No 2

Abstrakt

Production development has for decades concentrated on incremental improvements by exploiting existing manufacturing knowledge to improve existing production systems or adapt them for new product developments. Building up an “ambidextrous innovation” ability, and more specifically in increasing focus on explorative production innovation, is important to balance production development efforts and obtain sustainable development of production. This paper aims to provide a conceptual framework for “ambidextrous production innovation” that conceptualizes and highlights phenomenon characteristics from exploitative and explorative perspectives. The conceptual framework describes “production innovation” as the process of either increasing or developing a new production capability, enabling opportunities for new product designs. This process can be either “product-driven” or “production-driven” depending on the primary objective of the development.
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Autorzy i Afiliacje

Lisa Larsson
1
David Romero
2

  1. Department of Business Administration, Technology and Social Sciences, Luleå University of Technology, Sweden
  2. Departments of Industrial Engineering and Mechatronics, School of Engineering and Sciences, Tecnológico de Monterrey, Mexico

Abstrakt

The fourth industrial revolution has resulted in technology advancements in the manufacturing industry. However, the innovation potential embedded in these technologies should be unlocked by a viable application, i.e., the business model (BM). The BM as a holistic concept featuring different interacting elements is thus emerging as a promising vehicle for innovation. Current BM research describes the entire domain but lacks depth in the characterization of its individual components. This paper investigates the available manufacturing literature through the lens of the BM concept performing a scientometric analysis. The results are presented in a relational framework that provides an in-depth characterization of the manufacturing element of the BM and highlights identified connections that link the BM components. This is the basis for tools that will support firms in developing manufacturing portfolios aligned with their strategic goals.
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Autorzy i Afiliacje

Eleonora Boffa
1
ORCID: ORCID
Antonio Maffei
1
ORCID: ORCID

  1. Production Engineering, KTH – The Royal Institute of Technology, Sweden

Abstrakt

Agile Project Management is a topic that has become popular both in business and academia, since the publication of the Agile Manifesto – a historic landmark in this subject. In the next 20 years, there was a relevant scientific production that must be analyzed to provoke reflection about the knowledge built up in this period. In this sense, this study aims to analyze the relevant scientific literature on Agile Project Management through a systematic review and a bibliometric analysis of articles published in scientific journals with Digital Object Identifier, in English, from the Web of Science and Scopus databases, from 2001 to 2021. The research results enable us to gain insights into the characteristics of this knowledge domain, regarding its volume and evolutionary trend, main contributors (i.e. scientific journals, authors, and their affiliations), main studies, methods used, and its central thematic axes.
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Autorzy i Afiliacje

Antonio Carlos Pacagnella Junior
1
Vinicius Romeiro da Silva
1

  1. State University of Campinas, School of Applied Sciences, Production Engineering Center (CENPRO), Brazil

Abstrakt

The article explores megatrends in management, related to the transition to digital technologies in all spheres of the economy and production in the COVID-19 pandemic. The main contribution to the analysis of the current state of digitalization HR in business. The possibilities of a set of processes and methods of interaction with information in the formation of a strategy of people’s management, are investigated. This is achieved through the use of integrated mobile applications and the automation of HR processes. From the results, the methodology for determining the severity of competences, indicators of behavior are proposed, the strengths and weaknesses of the company’s staff management system in the COVID-19 conditions are taken into account. The practical usability of work is due to the proposed competency-based approach, which makes it possible to increase the efficiency of personnel selection, taking into account key macro-competencies that find an applied form through appropriate behavioral indicators.
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Autorzy i Afiliacje

Juliy Boiko
1
Mykhailo Vedernikov
2
Mariya Zelena
2
Lesia Volianska-Savchuk
2
Natalia Bazaliyska
2

  1. Scientific and Research Department, Khmelnytskyi National University, Ukraine
  2. Department of Personnel Management and Labor Economics, Khmelnytskyi National University, Ukraine

Abstrakt

Organisations have to take into account rapid, non-linear changes in their environment that build pressure on the company‘s development strategy. Therefore, one of the key challenges and paradoxes is to how maintain mutual coherence between different areas of the organisation and simultaneously leverage being ambidextrous so as to continue with exploration and exploitation activities. The main goal of this paper is to present research results on the relation between strategic coherence and company ambidexterity.
Strategic coherence is a proprietary concept allowing for measurement of the balance between the vertical and horizontal adjustment of an organisation. Vertical adjustment is the relation between strategy and the elements of the business model measured by: 1) the cascading of goals, 2) feedback on matching elements of the business model according to strategy, and 3) control over financial results and strategy implementation. Horizontal adjustment refers to matching the business model components measured by: 1) creating value, 2) capturing value, and 3) creating a synergy effect) Meanwhile, ambidexterity is determined by four areas: 1) company goals, 2) products, 3) market and 4) competitive advantage for both exploration and exploitation activities. The research survey was conducted with the use of the CATI method. Altogether, 400 medium-sized and large Polish companies were included in the study. To calculate the dependencies, the Pearson correlation coefficient was applied. The companies studied achieved similar results in terms of strategic coherence dimensions, as the vertical adjustment was 6.47, and the horizontal was 6.29 on a scale of 1–10. Meanwhile, in terms of ambidexterity, the companies achieved a moderate level, with the average value for exploration being 4.26, and that for exploitation 4.51 on a scale from 1 to 7. Based on correlation analysis, the relation between both variables has the shape of an inverted “U” with the most favourable point for ambidexterity at the “high strategic coherence” level. This study is a comprehensive guide for practitioners, and presents development guidelines for companies. The value of this research is an empirically validated framework that describes relations based on a dynamic balance between strategic coherence and two types of adjustment in the area of regulation – vertical and horizontal, as well as ambidexterity with two types of activity in the area of operations: exploration and exploitation. This study is unique and explores uncharted areas of strategic management.
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Autorzy i Afiliacje

Paweł Mielcarek
1

  1. Department of Management, Poznan University of Business and Economics, Poland

Abstrakt

Quality profiling seeks to know the quality characteristics of products and processes to improve customer satisfaction and business competitiveness. It is required to develop new techniques and tools that upgrade and complement the traditional analysis of process variables. This article proposes a new methodology to model quality control of the process and product quality characteristics by applying optimization and simulation tools. The application in the production process of carbonated beverages allowed us to identify the most influential variables on the gas content and the degrees Brix of beverage.
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Autorzy i Afiliacje

Jean P. Morán-Zabala
1
Juan M. Cogollo-Flórez
1

  1. Department of Quality and Production, Instituto Tecnológico Metropolitano – ITM, Colombia

Abstrakt

Currently, we live in a culture of being overly busy, but this does not translate into efficiency, speed of implementation of the actions taken. Enterprises are constantly looking for methods and tools to make them more efficient. The most popular method of production management is Lean Manufacturing, less known is Theory of Constraints. This work is a continuation of the research on the comparison of these methods with apply a computer simulation, which the analyzed production process in the selected enterprise, after 24 hours and week. An attempt was made to simplify the comparison of the methods based on the obtained simulation in terms of costs. In analyzed case, more advantageous solution is to use the DBR method. To produce various orders that do not require 100% production on the bottleneck position, the use of Kanban is a frequent practice as it provides greater flexibility in order execution.
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Autorzy i Afiliacje

Klaudia Tomaszewska
1

  1. Faculty of Management Engineering, Bialystok University of Technology, Poland

Abstrakt

The objective of this research is to minimize product defects based on labor performance and prove the hypothesis on how labor performance affects the quality of a product through a scientific calculation using Overall Labor Effectiveness (OLE). The primary data is obtained by interviewing the supervisor and labor directly. For secondary data is obtained from the company, such as labor working time, machine scheduled downtime, total production, and defective products. The approach to extract the data is using OLE and the continued regression method. Furthermore, it proceeds to Six Sigma using the DMAIC approach since the results show a significant correlation. The result from Failure Mode and Effects Analysis (FMEA) shows four of six potential failures caused by product defects are coming from labor. To prevent failure mode, it is recommended to have the regular machine checked by labor, check the temperature of the machine, and provide Standard Operating Procedures.
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Autorzy i Afiliacje

Filscha Nurprihatin
1
Yayang Nadistya Ayu
1
Glisina Dwinoor Rembulan
2
Johanes Fernandes Andry
3
Tika Endah Lestari
1

  1. Department of Industrial Engineering, Sampoerna University, Indonesia
  2. Department of Industrial Engineering, Universitas Bunda Mulia, Indonesia
  3. Department of Information Systems, Universitas Bunda Mulia, Indonesia

Abstrakt

Electric energy systems need constant modernization and updating to solve such problems as distributed management, self-sealing, improving the quality of electricity, demand management, and integration of renewable energy systems. Currently, energy systems need advanced and intelligent technologies to perform various system-level tasks. The purpose of this research is to analyze the existing control systems of electric energy systems, as well as to consider the possibility of using multi-agent systems to control electric energy systems. To achieve the aim of the research, the following scientific approaches were implemented: method of direct research, experimental method, questioning, comparative method, analysis method, and method of observation. The primary value of the research is in the novelty of the work and the fact, that functional components in multi-agent systems act as independent agents, which can interact with each other through a message communication system. This provides a simple connection between the components, which can benefit complex systems designed for an intelligent network. The intelligent network provides an efficient energy management system, and the modernization of the existing power system using a multi-agent system provides solutions to many problems. The best implementation of a multi-agent system can be achieved through the employment of fast and protected communication protocols. The authors of the research have conducted research and presented key statistical data on electricity usage in Kazakhstan over the past few years. The practical significance of the research is determined by the applied results, and their scientific significance, which is conditioned upon the use of deep, modern mathematical results and the development of an optimal control system. This research is a part of a universal model and optimal system of emergency quick response, conducting a quick preliminary prognosis as well as ensuring more lasting planning in electricity consumption.
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Autorzy i Afiliacje

Saltanat Bitimanova
1
Aliya Shukirova
1

  1. Department of Systems Analysis and Management, L.N. Gumilyov Eurasian National University, Kazakhstan

Abstrakt

This paper aims to enhance the productivity of a chilled beef production line by comparing two techniques; standard time calculation and simulation. The best improvement method was obtained using the work-study principle, a network diagram, and bottleneck identification. Two methods for improvement are proposed based on the ECRS, the Theory of Constraint (TOC), and line balancing concepts. A simulation model is developed to mimic the actual production line. The simulation results are verified, validated, and compared. Some workstations were combined, and the allocation of the workers was arranged. The present production line efficiency was 46.21%, which increased to 67.09% and 79.71% from the suggested methods. It showed that using the standard time calculation gives a different result from the simulation. In summary, the simulation model along with the application of TOC and ECRS, provides accurate information and improves overall productivity.
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Autorzy i Afiliacje

Rendayu Jonda Neisyafitri
1
Pornthipa Ongkunaruk
2
Wisute Ongcunaruk
3

  1. Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia
  2. Department of Industrial Engineering, Faculty of Engineering, Kasetsart University, Thailand
  3. Department of Electrical and Computer Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Thailand

Abstrakt

Increased competition has led businesses to compete with each other in streamlining supply chain processes, especially in the manufacturing sector. Supply Chain Management (SCM) determines the success of industrial business processes because it regulates product flow regarding integration, performance, and information. However, several problems have emerged in the supply chain process, such as a lack of coordination in the production queue, difficulties in forecasting trending products, and suboptimal production capacity. To address these issues, the role of information technology is crucial for implementing a Decision Support System (DSS). This study aims to develop a DSS to improve the supply chain processes. The research method used is Extreme Programming (XP) with a qualitative approach through a questionnaire. The research process involves collecting data, defining boundaries and problems, and designing, coding, and testing the system. As a final step, evaluation is carried out by distributing surveys to obtain valid satisfaction results. This research produces a DSS that has applicability in marketing, accounting, and production processes. The application of DSS in the furniture manufacturing industry can help manage the movement of resources, optimize strategic networks, and assist decision-making in the supply chain process.
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Autorzy i Afiliacje

Johanes Fernandes Andry
1
Filscha Nurprihatin
2
Lydia Liliana
1

  1. Department of Information Systems, Universitas Bunda Mulia, Indonesia
  2. Department of Industrial Engineering, Sampoerna University, Indonesia

Abstrakt

Improving product quality while making decisions remains a challenge. The objective of this research was to develop a model that supports the precise enhancement of product quality through comprehensive analysis of possibilities, product incompatibilities, root causes, and recommended improvement actions. The model incorporated various tools and methods such as the SMARTER method, expert team selection, brainstorming, Ishikawa diagram, 5M+E rule, FAHP, and FTOPSIS methods. The study demonstrated that integrating quality management tools and decision-making methods into a unified model enables the accurate prioritization of activities for product quality management. This integrated approach represents the novelty of this research. The model was evaluated using a mechanical seal made of 410 alloy. The research findings can be valuable to enterprises seeking to enhance product quality at any stage of production, particularly for modified or new products.
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Autorzy i Afiliacje

Dominika Siwiec
1
ORCID: ORCID
Remigiusz Gawlik
2 3
ORCID: ORCID
Andrzej Pacana
1
ORCID: ORCID

  1. Rzeszow University of Technology, Faculty of Mechanical Engineering and Aeronautics, Poland
  2. Cracow University of Economics, Faculty of Economics and International Relations, Poland
  3. North-West University, NWU Business School, South Africa

Instrukcja dla autorów

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They 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 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 at 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 material formatted in the MPER format must be unpublished and not under submission elsewhere. 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. 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.

The average time during which the preliminary assessment of manuscripts is conducted - 14 days

The average time during which the reviews of manuscripts are conducted - 6 months

The average time in which the article is published - 12 months

Dodatkowe informacje

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/.

Zasady etyki publikacyjnej

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.
Authors are accountable for the originality, validity and integrity of the content of their submissions. In choosing to use AI tools, authors are expected to do so responsibly and in accordance with our editorial policies on authorship and principles of publishing ethics. Authorship requires taking accountability for content, consenting to publication via an author publishing agreement, giving contractual assurances about the integrity of the work, among other principles. These are uniquely human responsibilities that cannot be undertaken by AI tools. Therefore, AI tools must not be listed as an author. Authors must, however, acknowledge all sources and contributors included in their work. Where AI tools are used, such use must be acknowledged and documented appropriately.
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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/


Procedura recenzowania

Received manuscripts are first examined by the Management and Production Engineering Review Editors. Manuscripts clearly not suitable for publication, incomplete or not prepared in the required style will be sent back to the authors without scientific review, but may be resubmitted as soon as they have been corrected. The corresponding author will be notified by e-mail when the manuscript is registered at the Editorial Office (marta.grabowska@put.poznan.pl; mper@put.poznan.pl). The ultimate decision to accept, accept subject to correction, or reject a manuscript lies within the prerogative of the Editor-in-Chief and is not subject to appeal. The editors are not obligated to justify their decision. All manuscripts submitted to MPER editorial office (https://www.editorialsystem.com/mper/) will be sent to at least two and in some cases three reviewers for passing the double-blind review process. The responsible editor will make the decision either to send the manuscript to another reviewer to resolve the difference of opinion or return it to the authors for revision.

The average time during which the preliminary assessment of manuscripts is conducted - 14 days
The average time during which the reviews of manuscripts are conducted - 6 months
The average time in which the article is published - 8.4 months

Recenzenci

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

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