Management and Production Engineering Review

Content

Management and Production Engineering Review | 2018 | vol. 9 | No 1

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Abstract

Performance measurement system in supply chain management (SCM) has been receiving increasing

attention by business organizations as a way to evaluate efficiency in supply chain

activities. Assessing the performance of supply chain uncovers the gap between planning

and actual performance as to trace the potential problems thus ascertain necessary areas

for improvement. This research aims to investigate the application of performance measurement

system in SCM as well as exploring its relationship with organization’s performance

among Malaysian manufacturing firms. By utilizing the questionnaire method, respondents

involved were requested to indicate the extent to which they use a number of 24 selected

performance measures that are related to SCM. The results show that the majority of the

observed manufacturing firms utilize specific performance measurement tools in evaluating

the supply chain performance. The current performance measurement techniques, the Balanced

Score Card is adopted by around a quarter of the total responding firms followed

by Supply Chain Operations References Model – SCOR, which attracts total users of only

a fifth of the total respondents. In particular, performance measures under customer service

category recorded the highest number of usage followed by cost-based performance measures

and operations management. The results of this investigation also unveil few major points

that are important to be highlighted. Firstly, the obtained outcomes of this study bring to

light the significant relationships between the utilization of supply chain performance measures

under customer service, operations management and organizational performance. In

addition, this study discovered a significant correlation between the size of the organization

and the extent of use of supply chain performance measures and how these two variables

positively correlated. Lastly, the findings also suggested that the performance measures for

SCM has been playing a crucial role in enhancing the performance of the organizations and

is increasingly operated as the firms grow in size. Based on the brief highlighted points listed

above, it is not an exaggeration to say that this research contributes new information to the

body of knowledge in performance measurement system in SCM and its associations with

organizational performance.

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Authors and Affiliations

Kamilah Ahmad
Shafie Mohamed Zabri
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Abstract

The difficulty of innovation risk assessment makes it necessary to use a multi-criteria analysis.

Innovative projects are related to unstructured problems and the uncertainty, therefore,

the use of fuzzy logic in the innovation risk assessment is analyzed. This paper proposes

a method of determining the weights of criteria in order to innovation risk assessment. The

weights are determined by 5 general criteria and 14 detailed criteria of innovation risk assessment.

The proposed method is an extension of the fuzzy AHP method. The extension

consists in taking into consideration the group decision-making approach with experts’ psychological

conditions. The groups of experts have been chosen based on an elaborated form.

The form makes it possible to characterize the persons within the scope of different psychological

conditions. The proposed method provides objective and rational decision-making.

The paper presents also a comparison of results with the fuzzy AHP method without the

group decision making. The weights obtained by the proposed method are more diversified

and bring out the most important criteria.

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Authors and Affiliations

Anna Małgorzata Deptuła
Katarzyna Rudnik
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Abstract

In the article problems related to human labor and factors affecting the increasing use of

industrial robots are discussed. Since human factors affect the production processes stability,

robots are preferred to apply. The application of robots is characterized by higher performance

and reliability comparing to human labor. The problem is how to determine the real

difference in work efficiency between human operator and robot. The aim of the study is to

develop a method that allows clearly definition of productivity growth associated with the

replacement of human labor by industrial robots. Another aim of the paper is how to model

robotized and manual operated workstation in a computer simulation software. Analysis of

the productivity and reliability of the hydraulic press workstation operated by the human

operator or an industrial robot, are presented. Simulation models have been developed taking

into account the availability and reliability of the machine, operator and robot. We apply

OEE (Overall Equipment Effectiveness) indicator to present how availability and reliability

parameters influence over performance of the workstation, in the longer time. Simplified

financial analysis is presented considering different labor costs in EU countries.

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Authors and Affiliations

Grzegorz Gołda
Adrian Kampa
Iwona Paprocka
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Abstract

The purpose of the paper is to present the author’s reflections on the origin and popularity

of various approaches to maintenance and improvement of production processes, their

terminological consistency, understanding, and practical application of their principles. The

author’s reflections are based on his observations made over his many years of activity as

a lecturer and consultant in the area of production engineering and management. It was

shown that there is a need to make scientists and practitioners aware of the relatively large

degree of freedom in defining the scope and way of application of strategies of continuous

improvement. The author’s proposal is to refer to all approaches to maintenance and improvement

of production processes with the title “Strategies of Efficient Action” and all

supporting methods as “Practices of Efficient Action”.

Considerations presented in the paper can be useful in more and more efficiently applying

the power of TQM, Six Sigma, Lean Manufacturing and other strategies of processes

maintenance and improvement in the daily activities of companies.

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Authors and Affiliations

Adam Hamrol
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Abstract

In the article problems related to human labor and factors affecting the increasing use of

industrial robots are discussed. Since human factors affect the production processes stability,

robots are preferred to apply. The application of robots is characterized by higher performance

and reliability comparing to human labor. The problem is how to determine the real

difference in work efficiency between human operator and robot. The aim of the study is to

develop a method that allows clearly definition of productivity growth associated with the

replacement of human labor by industrial robots. Another aim of the paper is how to model

robotized and manual operated workstation in a computer simulation software. Analysis of

the productivity and reliability of the hydraulic press workstation operated by the human

operator or an industrial robot, are presented. Simulation models have been developed taking

into account the availability and reliability of the machine, operator and robot. We apply

OEE (Overall Equipment Effectiveness) indicator to present how availability and reliability

parameters influence over performance of the workstation, in the longer time. Simplified

financial analysis is presented considering different labor costs in EU countries.

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Authors and Affiliations

Sylwia Łęgowik-Świącik
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Abstract

This study provides a systematic review of the existing academic literature describing the

key components of eMaintenance. The current literature is reviewed by utilizing a number of

academic databases including Scopus, SpringerLink and ScienceDirect, and Google Search is

used to find relevant academic and peer-reviewed journal articles concerning eMaintenance.

The literature describes eMaintenance as an advanced maintenance strategy that takes advantage

of the Internet, information and communication technologies, wireless technologies

and cloud computing. eMaintenance systems are used to provide real time analyses based

on real time data to offer a number of solutions and to define maintenance tasks. The collection

and analysis of appropriate maintenance and process data are critical to create robust

‘maintenance intelligence’ and finally improvements in manufacturing costs, safety, environmental

impact, and equipment reliability. This paper describes how the scientific discussion

on eMaintenance has expanded significantly during the last decade, creating a need for an

up-to-date review. As a conclusion, three research gaps in the area of eMaintenance are

identified, including evaluating the benefits of eMaintenance, agreeing on a

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Authors and Affiliations

Lasse Metso
David Baglee
Salla Marttonen-Arola
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Abstract

In this article, we review the research state of the bullwhip effect in supply chains with

stochastic lead times. We analyze problems arising in a supply chain when lead times are

not deterministic. Using real data from a supply chain, we confirm that lead times are

stochastic and can be modeled by a sequence of independent identically distributed random

variables. This underlines the need to further study supply chains with stochastic lead times

and model the behavior of such chains.

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Authors and Affiliations

Peter Nielsen
Zbigniew Michna
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Abstract

Spare parts are one of the important pillars in the after-sales service of automotive business.

Customers will satisfied and comfortable if the availability of spare parts is guaranteed.

Spare Part Center is one of function to support unit sales and as well as profit-oriented,

so the accuracy and speed of spare part acceptance by the customer is an important key

to winning the competition. Order Picking is one of the supply chain processes that play

a role in warehouse operations to meet customer needs. Order Picking is the most expensive

activity in warehousing and can reach 55% of the total cost of warehousing operations, so it

is considered a top priority in increasing productivity, even reaching 65% of total warehouse

operating costs. The purpose of this research is to increase productivity in the process

of picking order through reduction of processing time. Increased productivity is done by

improving the working method of the picking process. From the result the comparing, the

method by zone requires less total picking time (193.712 seconds) than by routing (249.559

seconds) decreased 55.85 second time, in other words, an increase of 22.38%. With the Visual

Stream Mapping (VSM) in this research can reduce to travel time, it means that the total

distance traveled is small than the current method. The impact from VSM approach will

eliminate time for preparation of 1.960 seconds, and take empty trolley of 200 seconds. In

this case some of traveling non-value

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Authors and Affiliations

Humiras Hardi Purba
Mukhlisin
Siti Aisyah
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Abstract

Technological development offers a wide range of new possibilities for implementation of

production processes. Continual production development is the main key to success and

competitiveness improvement, labour productivity and image-building for all manufacturing

companies. The article deals with designing of new workplace with implementation and

utilization of automated robot for faster and safer handling of cast stock. The new layout

of workplace is created in software Process Simulate.

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Authors and Affiliations

Peter Trebuna
Miriam Pekarcıkova
Jana Kronova
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Abstract

The problem of sequencing jobs on a single machine to minimize total cost (earliness and

tardiness) is nowadays not just important due to traditional concerns but also due to its

importance in the context of Collaborative Networked Organizations and Virtual Enterprises,

where precision about promptly responses to customers’ requests, along with other

important requirements, assume a crucial role. In order to provide a contribution in this

direction, in this paper the authors contribute with an applied constructive heuristics that

tries to find appropriate solutions for single machine scheduling problems under different

processing times and due dates, and without preemption allowed. In this paper, two different

approaches for single-machine scheduling problems, based on external and internal

performance measures are applied to the problem and a comparative analysis is performed.

Computational results are presented for the problem under Just-in-Time and agile conditions

on which each job has a due date, and the objective is to minimize the sum of holding costs

for jobs completed before their due date and tardiness costs for jobs completed after their

due date. Additional computational tests were developed based on different customer and

enterprise oriented performance criteria, although preference is given to customer-oriented

measures, namely the total number of tardy jobs and the maximum tardiness.

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Authors and Affiliations

Maria L.R. Varela
Justyna Trojanowska
Ana M. Madureira
Joana D. Dantas
André S. Santos
Goran D. Putnik
José Machado

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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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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.
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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