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