Artykuły (CN-dmms)

Permanent URI for this collectionhttps://repo.agh.edu.pl/handle/AGH/102785

Artykuły czasopisma Decision Making in Manufacturing and Services

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Access status: Open Access ,
Application of fuzzy based VIKOR approach for multi-attribute group decision making (MAGDM) a case study in supplier selection
(2012) Samantra, Chitrasen; Datta, Saurov; Mahapatra, Siba Sankar
In today’s competitive global markets, selection of a potential supplier plays an important role to cut production costs as well as material costs of the company. This leads to successful survival and sustainability in a competitive marketplace. Therefore, evaluation and selection of an appropriate supplier has become an important part of supply chain management. The nature of the supplier selection process is a complex multi-attribute group decision making (MAGDM) problem which deals with both quantitative and qualitative factors may be conflicting in nature as well as contain incomplete and uncertain information. In order to solve such a kind of MAGDM problems, the development of an effective supplier selection model is evidently desirable. In this paper, an application of the VIKOR method combined with fuzzy logic has been used to solve supplier selection problems with confliting and non-commensurable (different units) criteria, assuming that compromising is acceptable for conflict resolution. The decision maker wants a solution, which must be closest to the ideal, and the alternatives are evaluated according to all established criteria. Linguistic values are used to assess the ratings and weights for the conflicting factors. These linguistic ratings can be expressed in triangular fuzzy numbers. Then, a hierarchy MAGDM model based on fuzzy sets theory and the VIKOR method has been proposed to deal with the supplier selection problems in the supply chain system. A case study has been illustrated as an application of the proposed model.
Access status: Open Access ,
Hyperbolicity of systems describing value functions in differential games which model duopoly problems
(2015) Zwierzchowska, Joanna
Based on the Bressan and Shen approach (Bressan and Shen, 2004; Shen, 2009), we present an extension of the class of non-zero sum differential games for which value functions are described by a weakly hyperbolic Hamilton–Jacobi system. The considered value functions are determined by a Pareto optimality condition for instantaneous gain functions, for which we compare two methods of the unique choice Pareto optimal strategies. We present the procedure of applying this approach for duopoly.
Access status: Open Access ,
Scheduling jobs with linear model of simultaneous ageing and learning effects
(2011) Janiak, Adam; Lichtenstein, Maciej; Rusoń, Agata
In the paper, we introduce some new scheduling model in which learning and aging effects are both considered simultaneously. In this model the actual processing time of the jobs depends only on its position in a schedule and can be described by the piecewise linear function. For single-processor problem with introduced model, we show that the problem of minimizing the makespan criterion for independent jobs with release dates is strongly NP-hard, but some special cases of this problem are polynomially solvable. Based on those special cases, we propose 4 heuristic algorithms and we experimentally examine their usefulness for solving the general problem.
Access status: Open Access ,
Application of a Fuzzy Inference System for the optimization of material removal rate and multiple surface roughness characteristics in the machining of GFRP polyester composites
(2013) Singh, Ankita; Datta, Saurov; Mahapatra, Siba Sankar
This paper presents a multi-objective extended optimization methodology applied in the machining of a randomly oriented GFRP rod. Design of Experiment (DOE) has been selected based on a L9 orthogonal array design with varying process control parameters like: spindle speed, feed rate and depth of cut. Multiple surface roughness parameters of the machined FRP product along with the Material Removal Rate (MRR) of the machining process have been optimized simultaneously. The Fuzzy Inference System (FIS) has been proposed for providing feasible means for the meaningful aggregation of multiple objective functions into an equivalent single performance index (MPCI). This Multi-Performance Characteristic Index (MPCI) has been optimized using the Taguchi method. The approach adapted here is capable of overcoming limitations/assumptions of existing optimization methodologies available in the literature.
Access status: Open Access ,
Leveraging Business Process Management for Sustainable Transformation: Case Study of MECK Decarbonization Strategy
(Wydawnictwa AGH, 2024) Szelągowski, Marek; Berniak-Woźny, Justyna; Zawalich, Beata; Radziszewski, Bartosz
The heating sector is a critical focus for climate-change mitigation, as it accounts for 40–50% of global energy consumption and remains a major source of greenhouse gas (GHG) emissions. Miejska Energetyka Cieplna sp. z o.o. (MECK), a municipal heating company in Poland, faces an urgent need to undergo green transformation in order to comply with the Corporate Sustainability Reporting Directive (CSRD) and European Sustainability Reporting Standards (ESRS). This study aims to demonstrate how business process management (BPM) can be effectively applied to support MECK’s transition toward sustainable practices, ensuring its compliance with CSRD and ESRS requirements while fostering long-term profitability and competitiveness. Through the application of BPM, MECK has successfully embedded sustainability into its operations; key achievements have included developing actionable insights for process improvements, decarbonizing operations, reducing waste, creating new sustainable products, and adhering to CSRD and ESRS reporting standards. These efforts have enhanced MECK’s ability to secure long-term profitability while significantly improving its environmental sustainability. This case study highlights the pivotal role of BPM in enabling heating companies to meet regulatory requirements and advance their sustainability agendas. MECK’s experience underscores the importance of data quality, transparency, process optimization, and continuous improvement as foundational elements for achieving sustainability goals.
Access status: Open Access ,
Assessment of the impact of 3D printed water-lubricated cutless bearings material on vibration parameters
(Wydawnictwa AGH, 2022) Blaut, Jędrzej
The main purpose of the research was to determine the possibilities and experimentally verify the benefits of using thermoplastic materials in a cutless plain bearing. The tested bearings were subjected to equal loads and rotational speeds, using water as the lubricant. Analysis showed that they achieved the best vibration damping at lower speeds, between 600 and 1100 RPM. Comparative studies of bearings made of different materials, such as available on the market bearings made of rubber, bearings printed with a 3D printer from PETG, PLA, ABS or Tribo filament materials, revealed differences in their vibration damping ability and operational stability. Conclusions from the study suggest that higher vibration acceleration may increase the radius of the trajectory, which may affect the function and performance of the bearings. The importance of the operational stability of water-lubricated plain bearings cannot be assessed solely on the basis of the RMS of vibration acceleration or trajectory radius. Both of these parameters are crucial from the user’s point of view, especially in the context of various applications such as electric boats.
Access status: Open Access ,
Application of Basic Machine-Learning Classifiers for Automatic Anomaly Detection in Shewhart Control Charts
(Wydawnictwa AGH, 2024) Woźniak, Aleksander; Krawiec, Klaudia; Książek, Roger
In today’s dynamic technological environment, innovation plays a crucial role – especially for manufacturing enterprises that constantly strive to improve the quality of their products. This article examines the quality-management issue in a company producing car rims. It was identified that real-time quality control can sometimes be unreliable due to controller fatigue, leading to erroneous data interpretation or delayed responses to deviations in the production process. The study aimed to investigate the possibility of eliminating or significantly reducing these errors by employing a tool that is based on artificial intelligence. The article covers the preparation of training data, the training of classifiers, and the evaluation of their effectiveness in analyzing control charts in real time. The adopted hypothesis assumes that machine-learning classifiers can be effective methods of support for quality controllers. The research began with collecting measurement data from the machine and dividing it into training and test sets. The obtained results were evaluated using standard quality measures for machine-learning models. The results showed that the use of artificial intelligence can bring significant benefits in improving quality supervision in the production process of car rims.
Access status: Open Access ,
Extended model formulation of the proportional lot-sizing and scheduling problem with lost demand costs
(2011) Kaczmarczyk, Waldemar
We consider mixed-integer linear programming (MIP) models of production planning problems known as the small bucket lot-sizing and scheduling problems. We present an application of a class of valid inequalities to the case with lost demand (stock-out) costs. Presented results of numerical experiments made for the the Proportional Lot-sizing and Scheduling Problem (PLSP) confirm benefits of such extended model formulation.
Access status: Open Access ,
The effect of environmental criteria on locating a biorefinery: a green facility location problem
(AGH University of Science and Technology Press, 2017) Serrano-Hernández, Adrián; Faulin, Javier; Belloso, Javier; Sawik, Bartosz
Underestimating facility location decisions may penalize business performance over the time. These penalties have usually been studied from the economic point of view, analyzing its impact on profitability. Additionally, the concern about obtaining sustainability is gaining importance, leading to a search for renewable energy sources to reduce greenhouse gas emissions. However, little attention has been paid to choosing a location considering environmental criteria. Thus, this work aims at determining a biorefinery location considering its impacts on natural resources. Therefore, a mixed integer linear programming (MILP) model has been developed, taking into account crop location and biomass production seasonality to obtain a proper location that minimizes environmental impact. The initial version of this paper was presented at the ICIL Conference in 2016.
Access status: Open Access ,
A transfer line balancing problem by heuristic methods: industrial case studies
(2008) Guschinskaya, Olga; Dolgui, Alexandre
The paper deals with the problem of optimal configuration of a type of transfer lines which are equipped with transfer machines. Such machines perform operations with standard modular spindle heads which are activated sequentially. All operations assigned to the same spindle head (block of operations) are executed simultaneously by a set of tools fixed at the spindle head. The quantity of machines and spindle heads used to produce a part with the given productivity rate defines the final cost of the transfer line which must be minimized. To minimize this cost, a combinatorial problem of operations assignment to blocks and machines must be solved. The solution must provide a desired productivity (cycle time), it must also satisfy precedence and compatibility constraints. In this paper, we suggest improved versions of FSIC heuristic algorithm in order to help line designers to solve real-scale industrial problems. Results of computational experiments obtained for industrial cases are presented.
Access status: Open Access ,
Adoption of Electromobility in Urban Transport in Poland – Cost-Benefit Trade-Offs and Decision-Making Challenges
(Wydawnictwa AGH, 2021) Wiśniowski, Wojciech
Electromobility is increasingly recognized as a cornerstone of sustainable urban transport strategies. This paper presents an analysis of selected economic, environmental, and infrastructural implications of transitioning from internal combustion engine vehicles to electric vehicles (EVs) in urban settings. Through a cost-benefit analysis, the study compares the purchase and operating costs of EVs and conventional cars across mini, compact, and premium market segments, accounting for factors such as energy consumption, fuel and electricity prices, annual mileage, and carbon emissions. The development and expansion of charging infrastructure, along with the integration of smart grid solutions and energy storage capabilities, are examined in the context of meeting the growing demand from a rising fleet of EVs. Additionally, the paper analyzes changes in urban mobility behaviors, highlighting the shift toward shared mobility and ecomobility, and discusses how these trends can reshape urban transportation to improve quality of life and reduce environmental impacts. Drawing on current trends, national electromobility development plans in Poland, and international best practices, the study identifies challenges and enablers for policymakers and decision-makers in the transportation and energy sectors, highlighting the need for coordinated planning and policy support to ensure the long-term viability and sustainability of electromobility in urban environments.
Access status: Open Access ,
Multi-criteria optimization approach to modeling negotiation process
(AGH University of Science and Technology Press, 2018) Łodziński, Andrzej
This paper presents a multi-criteria optimization approach for modeling the negotiation process. The negotiation process is modeled as a special multi-criteria problem. The method of finding solutions involves a process of the interactive selection of certain proposals. The parties submit proposals concerning the subjects of the negotiations, these proposals constitute the parameters of the multi-criteria optimization problem. Selecting the solutions is accomplished by solving the optimization problem using the parameters that define the aspirations of each party to the negotiations. Finally, the solutions reached by the parties are evaluated.
Access status: Open Access ,
Implementation of Active Learning in BPM Education
(Wydawnictwa AGH, 2024) Grzesiak, Marzena
The challenges that are faced by BPM educators are not only related to the evolution of the BPM concept and technological trends but also to the changing expectations and attitudes of students as well as the requirements of the labor market. Active learning promotes the better memorization and understanding of even tricky issues. Active-learning methods are increasingly being implemented, and their effectiveness is being studied in numerous scientific studies. Many studies have confirmed that better learning outcomes are achieved through active learning. Implementing flipped learning in a previous academic year and supplementing it with other active methods in the following year allowed for course improvements; students showed more outstanding commitment and satisfaction with the classes. The introduction of changes to the Business Process Modeling and Process Management courses was dictated by, among other things, the desire to adapt to the postulates that have been developed in the BPM educator community regarding the scope of the knowledge and the skills that were transferred within the courses. The changes concerned both lectures (reviews and updates of content, abandonments of the form of administration) and the laboratory (changes of program, preparations for certification). The conclusions from the observations of the pilot implementation of the changes in the courses constituted the basis for refining the materials and methods in the next academic year.
Access status: Open Access ,
A SPC strategy for decision making in manufacturing processes
(AGH University of Science and Technology Press, 2019) Gil Del Val, Alain; Sawik, Bartosz; Alba, Maria Agustín Martin; Faulin, Javier; Diéguez-Elizondo, Pedro María
Tapping is an extensively employed manufacturing process by which a multi-teeth tool, known as a tap, cuts a mating thread when driven into a hole. When taps are new or slightly worn, the process is under control and the geometry of the resulting threads on the workpiece is correct. But as the tap wear increases, the thread geometry deviates progressively from the correct one and eventually the screw threads become unacceptable. The aim of this paper is to outline the development of a statistical process control strategy for decision making based on data coming from the current signal of the tap spindle for assessing thread quality. It could operate on line, and indicates when the tap wear is so critical that, if the process were continued, it would result in unacceptable screw threads. The system would be very cost-effective since the tapping process could be run without any operator intervention.
Access status: Open Access ,
BPMN - a logical model and property analysis
(2011) Ligęza, Antoni
Business Process Modeling Notation has become a powerful and widely accepted visual language for modeling business processes. Despite its expressive power and high usability, a weak point of BPMN is the lack of formal semantics and difficulties with assuring correctness of the overall process. In this paper an attempt is made towards investigation and development of foundations for a logical, declarative model for BPMN. Such model should enable formal analysis of desired properties referring to correct operation of Business Processes modeled with use of BPMN.
Access status: Open Access ,
Analysis of municipal waste management in municipality of Krakow
(Wydawnictwa AGH, 2023) Szyba, Marta; Ostrowska, Justyna
Rational waste management is an essential element in the process of transitioning the linear economy into a circular model. Those actions that are taken to achieve better results in this area are important for regional and local development as well as for the implementation of sustainable development goals. This article presents the requirements and rules for the functioning of waste management in Poland. Taking the structure of the system into account, the functioning of waste management in the municipality of Krakow was analyzed. Particular attention was paid to the problem of municipal waste segregation by the inhabitants of Krakow. As part of our own research, surveys were conducted among the employees of the Municipal Cleaning Company LLC (Miejskie Przedsiębiorstwo Oczyszczania w Krakowie – MPO Sp. z o.o.), which showed the scale of the deficiencies. The results of the research were helpful in proposing actions to increase the effectiveness of the wastesegregation system in Krakow.
Access status: Open Access ,
Models and tools for improving efficiency in constraint logic programming
(2011) Ligęza, Antoni
Constraint Satisfaction Problems typically exhibit strong combinatorial explosion. In this paper we present some models and techniques aimed at improving efficiency in Constraint Logic Programming. A hypergraph model of constraints is presented and an outline of strategy planning approach focused on entropy minimization is put forward. An example cryptoaritmetic problem is explored in order to explain the proposed approach.
Access status: Open Access ,
Guest editorial
(2015) Bertini, Cesarino; Faliszewski, Piotr; Paliński, Andrzej; Stach, Izabella
Access status: Open Access ,
A reference point approach to bi-objective dynamic portfolio optimization
(Wydawnictwa AGH, 2009) Sawik, Bartosz
The portfolio selection problem presented in this paper is formulated as a bi-objective mixed integer program. The portfolio selection problem considered is based on a dynamic model of investment, in which the investor buys and sells securities in successive investment periods. The problem objective is to dynamically allocate the wealth on different securities to optimize by reference point method the portfolio expected return and the probability that the return is not less than a required level. In computational experiments the dataset of daily quotations from the Warsaw Stock Exchange were used.
Access status: Open Access ,
The application of genetic algorithms for the selection of WSE companies in warsaw for an investment portfolio
(AGH University of Science and Technology Press, 2020) Basiura, Beata; Motyczyńska, Joanna
Portfolio analysis is a tool in particular, intended for investors. Risk assessment and risk specification make the investor able to diversify properly and offset the portfolio. Broadly speaking, there are multiple tools designed to create an efficient set of portfolios. One of them is Markowitz's model theory, postulating building up a portfolio to determine the basis of equilibrium between expected profit level as well as accepted level of risk assessment. In the context of this paper, the objective is to shed some light on creating investment portfolios based on either Markowitz's portfolio theory or an evolutionary algorithm. The simulation based methods for building up a portfolio of approximately 40-50 companies listed on the primary market of the Warsaw Stock Exchange using the specific selection function are presented. Portfolio profit values have been evaluated in a dynamically shifted time window. The conducted analysis showed shifts in the economy at certain periods of time. The implemented genetic algorithms smoothly handled the optimization with a relatively short processing time of the task result.