The specificity of tool provisioning is conditioned using tooling, the quantity of which
exceeds the nomenclature of the manufactured goods considerably. Therefore, for modern
enterprises, first-priority issues are harmonizing the processes of tool provisioning systems,
increasing the level of the reaction of this system to changes, obtaining operational control
over the production system, and, thus, improving the efficiency of the production process.
In this paper, a mathematical model of decision-making based on determining the optimal
strategy for the process flow was proposed to improve the efficiency of the information
system for quality management of tool provisioning. It is suggested to use the sustainable
development factor of information system for quality management of tool provisioning to
make decisions about the path of the tooling process, which considers the requirements of
international standards for management systems (ISO 9001, ISO 45001, etc.). This model
is based on the application of graph optimization theory, fuzzy logic, and Markov chains.
The use of this model is universal and will increase the validity of operational management
decisions, increase productivity, reduce resource dependency, and, therefore, reduce the
costs of tool provisioning, which directly affects the cost of production and competitiveness
of the enterprise as a whole.
World Class Manufacturing system consists of ten technical and ten managerial pillars.
These, impacting directly and indirectly on each other, generate the flow of internal processes. Two of the mentioned pillars, Early Product Management (EPM) and Cost Deployment
(CD) play a special role in the system, because they create a future strategic management
of a company influencing design engineering, manufacturing and economy [1, 2]. Referring
to the author’s previous publications on Early Product Management methodology [3, 4], the
role of Cost Deployment pillar in the new product launch remains an important issue. Additionally, there is a noticeable lack of publications in this specific field of the WCM system.
Therefore, a proper understanding of the relationship between these two technical pillars
is the basis for effective project management for the implementation of new products. In
this article, the correlation between EPM and CD will be highlighted whereas some critical
remarks will be indicated. The main part of the article will describe: the current approach to
project management according to the standards set by the WCM system and recommended
improvements originated from EPM and CD pillars. The quality scientific methods used in
this article are based on a case study of internal processes in an international plant specializing in agriculture machinery production and include elements of direct observation and
theoretical analysis and synthesis. This paper refers to the presented issues in practical terms
on the example of the methodology of managing of new launch product projects in terms of
cost management. The purpose of this paper is to draw attention to the problem of the cost
factor generated during the design phase and early implementation of the new product into
production, which will enable effective cost management of new implementation projects.
The main purpose of the article is to try to substantiate the advisability of classification
of benefits according to the criterion of factors of the location of their production and to
develop a matrix for such a classification. Morphological analysis is used as the main study
method. The existence of four groups and a number of subgroups of benefits is established,
in the location of production of which one pair of factors dominates: from the “production
of benefits” side and from the “place” side. The basics of the classification of benefits are
developed, the location of production of which should take into account several pairs of
factors. The result is a matrix for performing the classification of benefits by factors of the
location of production, the filling of which will improve the quality and speed up decisionmaking on the choice of optimal places for the production of benefits. This study, in addition
to being important for the theory of benefits and the theory of the spatial organization of
the economy, has significant practical and social consequences, since it makes an important
step in improving the justification for the location of production of benefits.
High business competition demands business players to improve quality. The Six Sigma
with DMAIC phases is a strategy that has proven effective in improving product and service quality. This study aims to find the consistency of DMAIC phases implementation and
analyze the objective value in Six Sigma research. By using a number of trusted article
sources during 2005 until 2019, this research finds that 72% research in manufacturing industry consistently implemented DMAIC roadmap especially in case study research type
for problem-solving, while service industry pointed out the fewer number (60%). The causes
of variations and defective products in the manufacturing industry are largely caused by
a 4M 1E factor, while in service industry are caused by human behavior, and it’s system
poorness. Both manufacturing & service industry emphasized standardization & monitoring to control the process which aimed at enhancing process capability and organization
performance to increase customer satisfaction.
This article summarizes the arguments and counterarguments within the scientific discussion on identifying the enterprise’s state to evaluate its effectiveness and optimize the
target functions in solving enterprise development problems. The proposed scientific and
methodological approach to modeling the enterprise development management system under decentralization conditions and its practical implementation makes it possible to determine the dominant development parameters of manufacturing enterprises that influence
the United Territorial Community and to timely track the impulses and space of the United Territorial Community state, taking into account the PS state as parameters for its
development. The proposed analysis of the Production System state within the United
Territorial Community framework and evaluating its development dynamics shows the necessity of forming a system of generalized vector-scalar, situationally oriented indicators.
The aim of the herein paper is to present the processes of managing science and technology
parks by means of indicating their essence, types and domains of activities. Moreover, the
attributes of these parks were emphasized in the context of the innovative processes. Pilot
research was conducted which concentrated on the institutionalization and functionality of
the science and technology parks which facilitated the formulation of conclusions relating
to the cooperation between enterprises, science and technology parks and the sphere of
science in terms of innovativeness.
Make-To-Stock (MTS) and Make-To-Order (MTO) are the two traditional strategies in
production management. In the case of the MTS there is a growing demand for a new
approach, which is called Make-To-Availability (MTA) strategy. The paper characterizes and
compares the MTS and MTA strategies. The comparative analysis based, among others, on
computational experiments carried out in a computer program developed in Microsoft Visual
Studio 2017 Environment was presented. The models have been prepared for both strategies
with the same assumptions: external conditions (market demand) and internal conditions
(structure of the production process). The investigation of how the strategies respond to
various scenarios of demand intensity was done. The simulation models were prepared and
validated for the case of the production line in one of the industrial automation company.
The research shows that the use of the MTA strategy in the majority of cases gives much
better results than the use of the MTS strategy due to the minimization of storage costs and
the costs of non-fulfillment of the customers’ demand. The directions for further research
were also presented.
The article includes presentation of fuzzy numbers application in projects prioritizing at
manufacturing and service providing enterprises. The following criteria have been applied
as a basis for projects prioritizing analysis in enterprise: NPV index, linked with the enterprise strategic aims, project execution cost, project time, project scope and risk. As the
criteria selected were of measurable and non-measurable character in projects prioritizing
evaluation, the fuzzy decision making system has been developed, in which a linguistic value
has been defined for each criterion of projects prioritizing. Knowledge base has been developed afterwards, presenting cause-effect dependencies in projects prioritizing. Knowledge
base consisted of conditional rules. Fuzzy system of decision making in project prioritizing
has been developed in MATLAB application.
The decision making fuzzy system established, constitutes an efficient tool for projects prioritizing, on the basis of criteria given and concluding system developed. The obtained analysis
results provide basis for the decision making parties to set the projects execution sequences.
The industry transformation to the digital model 4.0 will be a significant change from
the perspective of the organisation and processes. In the context of the above, the research
was undertaken, the principal aim of which constituted the attempt to answer the question
concerning the technological advancement level of manufacturing companies operating in
the agricultural machinery sector. It is about identifying what adaptation projects in the
context of the fourth generation industry era should be undertaken by the Polish manufacturers operating in the agricultural machinery sector. The achievement of the main
objective required formulation and implementation of partial objectives, which, according
to the authors, include: C(1) – defining the Industry 4.0 axiom merit; C(2) – using the
subject literature reconstruction and interpretation methods – nomination of areas, on the
one hand essential from the perspective of the model 4.0, and on the other hand those that
may demonstrate the maturity in the domain of the adopted desiderata; C(3) – compilation
of the research model, in the form of an assessment sheet, being a resultant of literature
studies and research conducted among deliberately selected domain experts; C(4) – based
on the selected indicators, the technological advancement level recognition of the studied
companies; specification of a technological gap (questioning among experts).
This paper focuses on the analysis of selected risks as part of investments in the power
engineering at the initial (tender) stage of the life cycle in the context of the method of
project management by the Contractor. The study was carried out on the basis of an
analysis of over 500 tenders in the power engineering, from the last 5 years, taking into
account future forecast data. The analysis carried out in this article was aimed at achieving
specific and unique goals and results aimed at creating a useful product, which is the
Contractor’s offer in the power engineering, taking into account the most significant risks.
The result of this article is to support the project team in implementing risk management
in the project at the tender stage. For this purpose, the risks with their basic parameters
were defined, which allowed for the development of a risk matrix taking into account the
data obtained in the tender procedures of leading electric power distributors. Based on
the proposed risk quantification criteria, a list of remedial actions was prepared for all risk
types listed in this article. In addition, the aspects of possible elimination/reduction of the
impact of the most significant risks that occur at the analyzed stage of the investment life
cycle were developed.
The goal of this paper is to present the author’s thoughts on the possible contribution of
quality engineering to sustainable development. It is indicated that in the product life cycle
designers have the greatest potential to support this challenge. Arguments have been presented to abandon the commonly accepted paradigm, according to which the overriding goal
of the designer is to achieve the highest market value possible measured by the prospected
level of demand for the products designed. It is postulated to include the minimization of
the risks brought to the natural environment and social relations as a criterion of product
design quality. To this goal, it is necessary for designers to pursue both environmentally
friendly materials and technologies and design concepts reducing consumers’ pressure on
continuously increasing demand. Such an approach will allow for more effective control of
consumption, the main cause of the negative effects of economic growth.
The transition to circular economy requires diversifying material sources, improving secondary raw materials management, including recycling, and finally finding sustainable alternative materials. Both recycled and bio-based plastics are often regarded as promising
alternatives to conventional fossil-based plastics. Their broad application instead of fossilbased plastics is, however, frequently the subject of criticism because of offering limited
environmental benefits. The study presents a comparative life cycle assessment (LCA) of
fossil-based polyethylene terephthalate (PET) versus its recycled and bio-based counterparts. The system boundary covers the plastics manufacturing and end-of-life plastic management stages (cradle-to-cradle/grave variant). Based on the data and assumptions set
out in the research, recycled PET (rPET) demonstrates the best environmental profile out
of the evaluated plastics in all impact categories. The study contributes to circular economy in plastics by providing transparent and consistent knowledge on their environmental
Sustainable development refers to the development of a business in such a way that future
generations will be able to satisfy the same needs. This article describes how sustainable
development can be measured by economic performance and a positive impact on the natural
environment. A general indicator of a company’s environmental impact is presented in the
article. It can be determined, on the one hand, by a company’s environmental impact, and on
the other hand, by savings in the use of natural resources, which is associated with savings
in a financial sense. Therefore, it can be used to analyze the progress of sustainability in
terms of environmental and economic performance. The case study provides an example of
how emissions and energy factors can be analyzed to form a synthetic indicator and create
a general indicator.
The rapid global economic development of the world economy depends on the availability of
substantial energy and resources, which is why in recent years a large share of non-renewable
energy resources has attracted interest in energy control. In addition, inappropriate use of
energy resources raises the serious problem of inadequate emissions of greenhouse effect gases,
with major impact on the environment and climate. On the other hand, it is important
to ensure efficient energy consumption in order to stimulate economic development and
preserve the environment. As scheduling conflicts in the different workshops are closely
associated with energy consumption. However, we find in the literature only a brief work
strictly focused on two directions of research: the scheduling with PM and the scheduling
with energy. Moreover, our objective is to combine both aspects and directions of in-depth
research in a single machine. In this context, this article addresses the problem of integrated
scheduling of production, preventive maintenance (PM) and corrective maintenance (CM)
jobs in a single machine. The objective of this article is to minimize total energy consumption
under the constraints of system robustness and stability. A common model for the integration
of preventive maintenance (PM) in production scheduling is proposed, where the sequence
of production tasks, as well as the preventive maintenance (PM) periods and the expected
times for completion of the tasks are established simultaneously; this makes the theory put
into practice more efficient. On the basis of the exact Branch and Bound method integrated on the CPLEX solver and the genetic algorithm (GA) solved in the Python software,
the performance of the proposed integer binary mixed programming model is tested and
evaluated. Indeed, after numerically experimenting with various parameters of the problem,
the B&B algorithm works relatively satisfactorily and provides accurate results compared
to the GA algorithm. A comparative study of the results proved that the model developed
was sufficiently efficient.
To subscribe to the magazine enter the email address:
*Fields marked with an asterisk are mandatory to be filled in and checked. To Subscribe to the journal you must agree to the processing of personal data.