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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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