Management and Production Engineering Review

Zawartość

Management and Production Engineering Review | 2019 | vol. 10 | No 1

Abstrakt

This paper introduces the Lean School, a Learning Factory, along with a “game” of physical

simulation that is developed in it. All this is focused on teaching-learning, both of students

and professionals, of the potential advantages offered by the implementation of the Lean

Production in the organizations.

The participants gain a practical experience, based on experimental learning, which gives

them a better understanding of the principles and tools of Lean philosophy.

This physical environment is not limited to theoretical teaching, but goes beyond and implements

a production system near a real one. It starts from a configuration of a production

plant with an unbalanced system and throughout the different iterations, called productions,

introduces and implement the Lean principles, which makes its participants acquire

not only knowledge but also the skills needed to implement an efficient production in their

organizations.

All the constituent elements of the system will be described briefly: the product, the variations

thereof, the initial design with its layout, as well as the subsequent productions, and

the results of learning of each one.

Przejdź do artykułu

Autorzy i Afiliacje

Jose Pascual Ruano
Ignacio Hoyuelos
Manuel Mateo
Angel M. Gento

Abstrakt

Maritime freight transport represents an effective solution, allowing to ensure a low-impact

service both under an economic and a sustainable perspective. As a consequence, in the last

ten years, an increasing trend of goods transported by sea has been observed. In order to

improve the terminal containers’ performance, recently published scientific studies shown

the applicability of the ‘lean logistic’ concept as a strategic key for ensuring a continuous

improvement of the logistic chain for inter-/intra terminal containers’ activities. According

to this approach, the adoption of a dry port can positively affect terminal containers’ performance,

but this requires resources and investments due to inter-terminal activities (e.g.

transport of the container from port to dry port and vice versa). The purpose of the study is

to develop a mathematical programming optimization model to support the decision making

in identifying the best containers’ handling strategy for intermodal facilities, according to

lean and green perspectives. Numerical experiments shown the effectiveness of the model in

identifying efficient material handling strategies under lean and green perspective.

Przejdź do artykułu

Autorzy i Afiliacje

Salvatore Digiesi
Francesco Facchini
Giovanni Mummolo

Abstrakt

The application of the 5S methodology to warehouse management represents an important

step for all manufacturing companies, especially for managing products that consist of

a large number of components. Moreover, from a lean production point of view, inventory

management requires a reduction in inventory wastes in terms of costs, quantities and time

of non-added value tasks. Moving towards an Industry 4.0 environment, a deeper understanding

of data provided by production processes and supply chain operations is needed:

the application of Data Mining techniques can provide valuable support in such an objective.

In this context, a procedure aiming at reducing the number and the duration of picking

processes in an Automated Storage and Retrieval System. Association Rule Mining is applied

for reducing time wasted during the storage and retrieval activities of components

and finished products, pursuing the space and material management philosophy expressed

by the 5S methodology. The first step of the proposed procedure requires the evaluation

of the picking frequency for each component. Historical data are analyzed to extract the

association rules describing the sets of components frequently belonging to the same order.

Then, the allocation of items in the Automated Storage and Retrieval System is performed

considering (a) the association degree, i.e., the confidence of the rule, between the components

under analysis and (b) the spatial availability. The main contribution of this work is

the development of a versatile procedure for eliminating time waste in the picking processes

from an AS/RS. A real-life example of a manufacturing company is also presented to explain

the proposed procedure, as well as further research development worthy of investigation.

Przejdź do artykułu

Autorzy i Afiliacje

Maurizio Bevilacqua
Filippo Emanuele Ciarapica
Sara Antomarioni

Abstrakt

Lean is one of the systematic approach to achieve higher value for organizations through

eliminate non-value-added activities. It is an integrated set of tools, techniques, and principles

designed to optimize cost, quality and delivery while improving safety. In Vietnam,

industry waste management and treatment has become serious issue. The aim of this research

is to present the effective of Lean application for industrial wastes collecting and

delivery improvement. Through a case study, this paper showed the way of Lean tools and

principles applied for wastes management and treatment such as Value Stream Mapping,

Pull system, Visual Control, and Andon to get benefit on both economic and environment.

In addition, the results introduced a good experience for enterprises in Vietnam and other

countries have similar conditions to Vietnam in cost saving and sustainable development in

waste management.

Przejdź do artykułu

Autorzy i Afiliacje

Nguyen Dat Minh
Nguyen Danh Nguyen
Phan Kien Cuong

Abstrakt

The scientific goal of this article was to confirm the thesis that efficient complaint management

can be one the company’s competitive advantage elements of in the sphere of logistic

customer service. The theoretical part of the article presents basic foundations related to

complaint management process as an important element of post-trade sales process in customer

service. The research part presents an example of the implementation of efficient

assumptions of the complaint management process on the example of a construction industry

manufacturing company. Guidelines for the design and implementation of an effective

and efficient complaint handling process are presented. An example of process analysis is

done using appropriate quality tools.

Przejdź do artykułu

Autorzy i Afiliacje

Maria Cieśla

Abstrakt

Indian SMEs are going to play pivotal role in transforming Indian economy and achieving

double digit growth rate in near future. Performance of Indian SMEs is vital in making

India as a most preferred manufacturing destination worldwide under India’s “Make in India

Policy”. Current research was based on Indian automotive SMEs. Indian automotive SMEs

must develop significant agile capability in order to remain competitive in highly uncertain

global environment. One of the objectives of the research was to find various enablers of

agility through literature survey. Thereafter questionnaire administered exploratory factor

analysis was performed to extract various factors of agility relevant in Indian automotive

SMEs environment. Multiple regression analysis was applied to assess the relative importance

of these extracted factors. “Responsiveness” was the most important factor followed by

“Ability to reconfigure”, “Ability to collaborate”, and “Competency”. Thereafter fuzzy logic

bases algorithm was applied to assess the current level of agility of Indian automotive SMEs.

It was found as “Slightly Agile”, which was the deviation from the targeted level of agility.

Fuzzy ranking methodology facilitated the identification & criticalities of various barriers

to agility, so that necessary measures can be taken to improve the current agility level of

Indian automotive SMEs. The current research may helpful in finding; key enablers of agility,

assessing the level of agility, and ranking of the various enablers of agility to point out the

weak zone of agility so that subsequent corrective action may be taken in any industrial

environment similar to India automotive SMEs.

Przejdź do artykułu

Autorzy i Afiliacje

Rupesh Kumar Tiwari
Jeetendra Kumar Tiwari

Abstrakt

A robust manufacturing sector is imperative for achieving sustainable and inclusive development.

Also, in the Indian context, Micro, Small and Medium Enterprises (MSMEs) are

of vital importance due to their contribution to GDP, exports and employment. Indian

Government has launched many schemes to vitalize and improve the competitiveness of

Manufacturing MSMEs. ‘Lean Manufacturing Competiveness Scheme’ (LMCS) is a huge

step aimed to act as a catalyst for lean adoption by Indian MSMEs. This paper uses SAP

LAP framework to address critical questions regarding lean adoption by Indian manufacturing

MSMEs in the context of the government scheme ‘LMCS’. The study adds to the

existing body of knowledge on lean manufacturing that emphasizes on the importance of

soft issues while implementing lean. It also benefits the stakeholders by suggesting suitable

actions that can be taken to further improve the competitive priorities of MSMEs.

Przejdź do artykułu

Autorzy i Afiliacje

Misha Matharu
Neena Sinha

Abstrakt

The implementation of milk-run in Indonesia has been started since 2005. As a developing

country, there is a challenge to operate milk-run smoothly especially in urban area due to

severe traffic congestion and unfavourable road condition in some areas. This research aimed

to analyze the practice of milk-run operation in one of the biggest Japanese automotive

companies in Indonesia. Transportation Value Stream Mapping (TVSM) is applied in order

to perform just-in-time delivery in the supply chain before operating milk-run. It is discussed

that this company still need to continue in improving milk-run operation. The operation

system needs control and integration from manufacturer, supplier and logistics partner.

The advantage of milk-run operation is cost reduction and also support green logistics in

decreasing emission of carbondioxide (CO2) by reducing the number of trucks used.

Przejdź do artykułu

Autorzy i Afiliacje

Humiras Hardi Purba
Adi Fitra
Aina Nindiani

Abstrakt

This paper reports a new multi-item planning and scheduling problem in a job-shop production

system with the consideration of energy consumption. A mixed integer linear programming

is proposed to integrate planning and scheduling with the consideration of energy

aspect. In this study a new operational constraint is considered in the tactical level because

of the huge interest given to energy consumption and its strong link existing with production

system. To evaluate the performance of this model, computational experiments are

presented, and numerical results are given using the software CPLEX and then discussed.

Przejdź do artykułu

Autorzy i Afiliacje

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

Abstrakt

In the era of Industry 4.0, the automation of processes in the life cycle of a product seems

to be a necessity. Although programming CNC machines with CAM systems make it possible,

it is necessary to effectively acquire knowledge about the programming process and

technological requirements for effective automation. The paper presents a method for decomposition

of knowledge about the CNC machine programming process based on acquiring

knowledge from various sources, both from technologists as well as on the basis of analysis

of archival CNC control programs. To decompose the programming process, it is proposed

to apply the knowledge model described by various attributes. Verification of the method

is shown in the process of knowledge decomposition for manufacturing special production

tooling.

Przejdź do artykułu

Autorzy i Afiliacje

Maciej Kowalski
Przemysław Zawadzki

Abstrakt

The dynamics of the processes taking place in an environment, which is rendered in the

altered perception of the character of this environment, induces a need to find answers to

the following questions: (1) How do managers perceive an environment in the dimensions of

stability/ changeability and friendliness/unfriendliness? (2) Is there a correlation between

the stability/changeability and friendliness/unfriendliness of an environment, i.e. if an environment

is more stable, is it perceived as more friendly, and if an environment is more

changeable is it perceived as unfriendly? (3) Does environmental stability/changeability as

well as friendliness/unfriendliness exert any influence on organizational effectiveness? In

an attempt to answer the above quoted questions, the article’s objective has been defined

as a discussion on the interdependencies perceived by managers between an environment’s

dimensions of stability/changeability and friendliness/unfriendliness (analysed in terms of

institutional categories) and the organizational effectiveness of Polish enterprises.

The managers evaluated the legal environment as the least stable. In their opinion, that

milieu was also more intimidating than friendly. Concurrently, a technological environment

was perceived by the respondents as the most stable and favourable. The results of the

effected research allow forming a conclusion concerning the existing correlation between

the friendliness and stability of particular categories of an environment, at the same time

pointing out to the occurrence of correlations between stability/changeability and friendliness/

unfriendliness of some categories of an environment and the organizational effectiveness

of the examined enterprises.

Przejdź do artykułu

Autorzy i Afiliacje

Paweł Chudziński
Szymon Cyfert

Instrukcja dla autorów

All manuscripts should be submitted at:

https://www.editorialsystem.com/mper/

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.

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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

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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.
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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

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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