Management and Production Engineering Review

Content

Management and Production Engineering Review | 2024 | Vol. 15 | No 3

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Abstract

The novel concept of split demand is introduced based on the dynamic single-level lotsizing (DSLLS), called the DSLLS-split demand model. The hybrid algorithm based on the combination between Ant Lion Optimization (ALO) and Gray Wolf Optimization (GWO), called the HALGW algorithm is proposed in this study. The suitable cashew nut production planning is examined with the DSLLS-split demand model and the HALGW algorithm. Four monthly datasets including demand, production quantity, production cost and holding cost are collected from January 2020 to December 2020. Two main concepts with split demand and without split demand are compared with three different algorithms: ALO, GWO and HALGW. The results found that the HALGW algorithm with the concept of split demand provides the minimum cost, 507,910.11 baht with lowest RMSE value, 106.08 and lowest MAPE value, 0.0000115. Hence, this method may help the community enterprise in Tha Pla, Uttaradit, Thailand to manage their processes, efficiently.
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Authors and Affiliations

Apisak PHROMFAIY
Natita WANGSOH
Prayoon SURIN
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Abstract

This research paper examines the transition from Industry 4.0 to Industry 5.0, underlining the dynamics, fresh challenges, and impending demands that form this revolution. The article uses an approach that is based on literature reviews to examine important books, reports, and articles that are mostly found on English-language websites. This paper focus on the demands, difficulties, and driving forces behind this pivotal stage in industrial history. In order to replace fossil fuels, the sixth industrial revolution will emphasise renewable energy, home robots, task specific automatons, and medical technology. Industry 5.0 focuses on harmonious coexistence of intelligent machines and human agency, while Industry 6.0 emphasizes sustainability, homogeneity, safety, and eco-economics for adaptability in global challenges. It is envisaged that the metaverse will offer immersive virtual reality experiences with implications for gaming and wellness. Industrial logistics are about to undergo a revolution as a result of drones, which will overcome current constraints and increase productivity. In conclusion, this academic journey advances our understanding of the transition from Industry 4.0 to Industry 5.0, acting as a compass for the future. Industry 6.0, which is supported by sustainable practises, technology autonomy, and human adaptation, opens up a world of unexplored possibilities.
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Authors and Affiliations

Shagun TYAGI
Neha RASTOGI
Ashulekha GUPTA
Kapil JOSHI
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Abstract

The effect of fused filament fabrication (FFF) process parameters on the mechanical properties of 3D-printed carbon fiber (CF)-reinforced recycled polylactic acid (rPLA) composite is presented in this paper. Because they have a significant impact on the mechanical properties of the product layer thickness, raster orientation and infill percentage are the process variables taken into consideration for the studies. The response parameters considered in the study are tensile strength. There is multi-optimisation. Utilizing TOPSIS (Technique for Order Preferences by Similarity to Ideal Solution) analysis to determine the optimal combination of parameters that would yield the greatest strength.
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Authors and Affiliations

Girish KUMAR PVR
Devaki DEVI K.
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Abstract

This study examines the impact of Enterprise Resource Planning (ERP) system implementation on the roles and skills of management accountants within production companies. Utilizing a dual-method approach of structured email questionnaires and telephone interviews, our findings reveal a significant shift towards more strategic roles and enhanced skill requirements post-ERP implementation. Specifically, management accountants are moving towards strategic activities such as business planning, facilitated by the comprehensive data and process integration offered by ERP systems. This research contributes a new framework to the literature, offering insights into the evolving landscape of management accounting in the context of technological advancements.
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Authors and Affiliations

Zaidoon ALHATABAT
Khaled HUTAIBAT
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Abstract

The world is in the grip of a very hard challenge these last few years: the conservation of the environment. To reduce waste, we are initiating actions and recycling methods. Our study will focus on the automotive sector, which generates different types of waste, recyclable and non-recyclable. The article explores the innovative integration of product lifecycle management (PLM) from the beginning of life (BOL) to the end of life (EOL) stages, with the goal of creating a comprehensive recycling process. The automotive sector serves as a compelling case study to showcase the practical application of this holistic approach. The study illustrates how aligning BOLandEOLinPLMcanlead to sustainable practices in the automotive industry. The results reveal a remarkable synergy between designing eco-friendly products, efficient manufacturing, and responsible disposal. The article emphasizes the significant environmental and economic benefits of optimizing the entire product lifecycle by connecting these stages. The article presents an automated model embedded within the PLM tool as a notable outcome, reflecting the combined process. The automated model embodies a futuristic vision that seamlessly integrates sustainable practices into product development and management, highlighting the immense potential for industries to contribute to a greener and more sustainable future.
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Authors and Affiliations

Nada EL FAYDY
Laila El Abbadi
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Abstract

The antifragile supply chain (ASC) provides a significant advantage compared to traditional systems, particularly when considering the impacts of unexpected crises such as COVID-19. Such challenging events highlight the value of the ASCs that enable businesses to navigate crises turn these challenges into opportunities, and continuously strengthen their structures. While resilience strategies gain attention, practical studies on ASCs are limited. This study applies a case study to examine critical success factors for ASCs, demonstrating the practical application of the Delphi and Fuzzy QFD method within Boyar Kimya, a textile manufac turer. By understanding the relationships between customer needs and critical success factors, the analysis contributes to determining and effectively implementing ASC strategies. The study concludes by unveiling key success factors, including SC risk management, information sharing, proactive management, efficient knowledge processes, collaboration, and innovation strategies. This research provides a valuable roadmap for enhancing SC efficiency and sus taining a competitive advantage.
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Authors and Affiliations

Ayça MADEN
Eren ÖZCEYLAN
Dilara MUHACIR
Beata MRUGALSKA
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Abstract

The main aim of this article is to present the supply chain disruptions experienced by automo tive companies during the COVID-19 pandemic, with a particular focus on the characteristics of their primary supply markets. The automotive companies surveyed were links directly or indirectly with production in this industry. Disruptions in supply chains significantly af fected planning and production continuity throughout the industry. The empirical data were sourced from a survey conducted in June 2023, involving 500 companies. During the COVID 19 pandemic, automotive companies encountered a series of disruptions within their supply chains, including constrained delivery timelines, prolonged lead times, and escalated opera tional costs. The character of a company’s primary supply market significantly influenced the duration of these pandemic-induced supply chain disturbances and the pace of recovery to wards normal business operations. Disruptions were more prevalent among companies reliant on global supply sources as opposed to those with predominantly local supply chains.
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Authors and Affiliations

Tomasz ROKICKI
András SZEBERENYI
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Abstract

In the era of rapid globalization and digital transformation, small and medium-sized enterprises (SMEs) in the manufacturing sector encounter significant challenges in scaling operations, enhancing operational efficiency, and fostering innovation. This study focuses on manufacturing SMEs, where coopetition– a strategic blend of competition and cooperation– addresses these challenges. Despite its potential to drive innovation and value creation, coopetition networks often struggle to succeed, particularly under the pressures of advancing technology and the need for digital collaboration. To address these issues, this research develops a comprehensive framework that integrates Service-Dominant (S-D) Logic with technology-enabled coopetition networks. Utilizing the Design Science methodology, the study presents a framework that underscores the crucial role of technology in fostering value co-creation within SME networks. This framework is designed to enable sustainable and effective engagement in coopetition, significantly mitigating the risk of network failure by aligning technological innovation with coopetition principles. The proposed framework was evaluated through a targeted survey of managers from SMEs in the Portuguese stone manufacturing sector. The survey results con firmed the practical applicability and potential to promote robust and sustainable coopetition strategies. By integrating theoretical insights with practical applications, this research offers a roadmap for SMEs to effectively manage the complexities of coopetition within the digital supply chain environment.
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Authors and Affiliations

Agostinho da Silva
Antonio J. Marques Cardoso
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Abstract

The main aim of this study is to examine the interconnections among performance indicators in Small and Medium Scale Enterprises (SMEs) within the mining industries in Kerala, India. A hierarchical model for performance metrics is introduced, starting with the identification of performance indicators through a systematic process. Following this, a comprehensive questionnaire-based survey is conducted within the mining and mineral industries in Kerala to identify the significant indicators specific to the sector. In this context, the Analytic Hierarchy Process (AHP) serves as a valuable multi-criteria decision-making approach for the evaluation of performance indicators. The primary objective of this article is to scrutinize performance indicators that assess the performance of SMEs and provide a comparative rating against their peers. Distinguishing itself from conventional approaches, this study directly engages manufacturers to gauge the relevance of four main factors and twelve sub-factors (performance indicators) through the application of the Analytic Hierarchy Process.
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Authors and Affiliations

A.S. AYSWER
N. RAMASAMY
M. DEV ANAND
N. SANTHI
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Abstract

This study investigates the organizational culture and lean readiness using the Organiza tional Culture Assessment Instrument (OCAI) and Lean Culture Assessment Model (LCAM) to implement lean for improving productivity in one of the Indian Micro, Small, and Medium Enterprises (MSMEs). The OCAI study results found that the organization has a family-style corporate culture and horizontal leadership. LCAM results showed that the company’s score on lean readiness is very low. Further, study through interaction with key organizational personnel revealed that the day-to-day operations were cluttered and lacked direction. The diagnostic study helped identify the cultural issues and problems of the company. The imple mentation of lean was undertaken for 15 months, resulting in a reduced workforce and timely delivery of orders. It also generated cash through the liquidation of scraps and non-productive assets. A refreshed culture further led to sustained and improved motivation among staff with a sense of achievement.
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Authors and Affiliations

Nilesh PENDHARKAR
Sudhir YADAV
Heena THANKI
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Abstract

In this paper, we propose a new confidence interval (CI) for the population mean based on robust estimators, which involves the application of the winsorized modified one-step M-estimator (WMOM) and winsorized standard deviation (WSD). The proposed method is modified for the Student’s t confidence interval CI under the non-normal distribution. The performances of the proposed confidence interval were evaluated via a Monte-Carlo simulation study by considering the coverage ratio (CR) and the average length (AL) as performance criteria. The simulation study results show the superior performance of the proposed confidence interval (CI) over the classical parametric Student’s t for data from a non-normal distribution. Two real data sets were analyzed, and the results agree to some extent with those of the simulation study. The results confirm the suitability of the proposed CI estimator for both normally and non-normally distributed data.
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Authors and Affiliations

Firas HADDAD
Moustafa ABU-SHAWIESH
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Abstract

Production systems are stopped due to malfunctions such as rotting equipment, imbalance of rotating parts, and high vibration, which leads to loss of customers, reduction of market share and unemployment of personnel. In this research, using the absorbing Markov process, a mathematical model is formulated to analyze the maintenance policy of the production process, through which one of the four states of new, old, or failure due to deterioration or sudden failure can be allocated to the machine. It is assumed that the machine changes from one state to another with different probabilities, which are determined using a discrete Markov chain. The different maintenance policies can be analyzed to minimize the average production cost. The mathematical model is obtained using discrete Markov chain equations, and the optimal maintenance and repair policy can be analyzed by considering all types of costs, including maintenance, production, and failure costs, so that the average cost of the production process can be minimized.
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Authors and Affiliations

Mohammad Hossein KARGAR SHOUROKI
Mohammad Saber FALLAH NEZHAD
Mohammad Saleh OWLIA
Hasan Khademi ZARE
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Abstract

Purpose: to analyze the optimum parameters in the injection molding of carbon fiber 66 (PA66) composite resin obtained from the injection molding process of the electrical connector assembly. Design/methodology/approach: Experimental research will examine relevant parameters uti lizing experimental design based on the Genetic Algorithm Method. Findings The optimum parameters in the injection molding process are Injection Pressure at 110 MPa, Holding Pressure at 55 MPa, Holding Time at 1.0 sec, Injection Speed at 40 mm/s, Injection Stroke at value 15 mm, which will make the results of the injection workpiece pro duced from the injection machine be the length that is in the standard value. Practical implications: The findings improved the molding problem: Short shot problem enhanced by 1.15%; Weld line problem improved by 0.38%; Silver mark problem enhanced by 0.11%. Originality/value: Decrease the defect from a short shot problem in the injection molding process to save time and reduce production costs.
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Authors and Affiliations

Pichai JANMANEE
Rattikorn SAODAEN
Jedsadapong NIMVONGSA
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Abstract

This study measures the performance of service operations of a café with waiting and service time parameters for customer satisfaction. The study contributes to reducing the lead time through standardized service time using Tailor-made Value Stream Mapping, Root Cause Analysis (RCA), and Time Study. This study observes the writer during a service operation at a café. The current state of VSM is created and followed by time study and analysis. The RCA is constructed based on brainstorming activity. It is suggested to improve the current process which is reflected in the future-state VSM. Lastly, this paper compares overall performance before and after the improvement implementation to conclude the effectiveness of this study. The result shows the increasing performance for food and beverage service in terms of VA, NNVA, NVA, LT, and PCE indicators. Ultimately, the lead times for serving beverages and appetizers decreased by 2.654 and 13.13 minutes, respectively
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Authors and Affiliations

Filscha Nurprihatin
Francka Sakti LEE
Johanes Fernandes Andry
Anisa Pitriani KURAHMAN
Ivana Tita Bella WIDIWATI
Ali VAEZI
Mastoor M. ABUSHAEGA

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.


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

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.
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.
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

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, Lublin, Poland
Alireza Goli Department of industrial engineering, Yazd university, Yazd, Iran
Magdalena Graczyk-Kucharska Instytut Inżynierii Bezpieczeństwa i Jakości, Zakład Marketingu i Rozwoju Organizacji, Politechnika Poznańska, Poland
Damian Grajewski Production Engineering Department, Poznan University of Technology, Poland
Łukasz Grudzień Production Engineering Department, Poznan University of Technology, Poland
Patrik Grznár, University of Žilina Faculty of Mechanical Engineering, 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, College of Commerce and Business Administration, 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,
Peter Kostal Slovenská Technická Univerzita V Bratislave, Slovak Republic
Martin Krajčovič University of Žilina, Faculty of Mechanical Engineering, Department of Industrial Engineering, 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, 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, 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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