Ryszard Wyczółkowski

Bio: Ryszard Wyczółkowski is an academic researcher from Silesian University of Technology. The author has contributed to research in topics: Water supply network & Water supply. The author has an hindex of 6, co-authored 21 publications receiving 89 citations.

Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing

Abstract: This paper presents an empirical study on the impact of maintenance function on more sustainable manufacturing processes. The work methodology comprises four stages. At first, ten factors of maintenance activities from a sustainable manufacturing point of view were identified. Then, in the second stage, the matrix of crossed impact multiplications applied to a classification (MICMAC) was carried out to categorize these factors based on their influence and dependence values. In the third stage, the criteria for evaluation of maintenance factors were defined, then the fuzzy analytic hierarchy process (F-AHP) was applied to determine their relative weights. In the last stage, the results of MICMAC and F-AHP analyses were used as inputs for the fuzzy technique for order preference by similarity to ideal solution (F-TOPIS) to generate aggregate scores and selection of the most important maintenance factors that have an impact on sustainable manufacturing processes. A numerical example is provided to demonstrate the applicability of the approach. It was observed that factors “Implementation of preventive and prognostic service strategies”, “The usage of M&O data collection and processing systems”, and “Modernization of machines and devices” are the major factors that support the realization of sustainable manufacturing process challenges.

A methodology of leakage detection and location in water distribution networks — The case study

Abstract: The paper deals with a methodology of detecting and localizing leakages in water distribution networks. Two approaches are presented: based on a hydraulic model of the network, and based on approximate models and fuzzy classifiers. Moreover, a case study concerning applications of the methodology to a real network in Rybnik, Poland is presented. A pilot version of the system has been running since 2013 and shows quite satisfactory efficiency.

Integrated system of control and management of exploitation of water supply system

Abstract: *Silesian University of Technology, Faculty of Organization and Management, Institute of Production Engineering, Roosevelt str. 26, 41-800 Zabrze, Poland, fax: +4832 2777362, email: Andrzej.Loska@polsl.pl **Silesian University of Technology, Faculty of Mechanical Engineering, Institute of Fundamentals of Machinery Design, Konarskiego str. 18a, 41-100 Gliwice, Poland, fax: +4832 2371360, email: Wojciech.Moczulski@polsl.pl

Implementing BPMN in Maintenance Process Modeling

Abstract: Due to the fact that the quality of the entire process is more and more dependent on the maintenance process, must be carefully designed and effectively implemented. There are various techniques and approaches that may be applied for efficient and effective maintenance management. This study presents the application of the modeling tools and process management within BPM practices in the maintenance processes in a medical devices manufacturing company.

Detection and Localization of Water Leaks in Water Nets Supported by an ICT System with Artificial Intelligence Methods as a Way Forward for Smart Cities

Abstract: The last decade has seen the development of complex IT systems to support city management, i.e., the creation of so-called intelligent cities. These systems include modules dedicated to particular branches of municipal economy, such as urban transport, heating systems, energy systems, telecommunications, and finally water and sewage management. In turn, with regard to the latter branch, IT systems supporting the management of water supply and sewage networks and sewage treatment plants are being developed. This paper deals with the system concerning the urban water supply network, and in particular, with the subsystem for detecting and locating leakages on the water supply network, including so-called hidden leakages. These leaks cause the greatest water losses in networks, especially in old ones, with a very diverse age and material structure. In the proposed concept of the subsystem consisting of a GIS (Geographical Information System), SCADA (Supervisory Control and Data Acquisition) system and hydraulic model of the water supply network, an algorithm of leak detection and location based on the neural networks’ MLP (multi-layer perceptron) and Kohonen was developed. The algorithm has been tested on the hydraulic models of several municipal water supply networks.

Risk Assessment of Factors Influencing Non-Revenue Water Using Bayesian Networks and Fuzzy Logic

Abstract: This paper aims to initially, identify effective factors of Non Revenue Water (NRW) and its three major components: apparent losses, real losses and non-revenue authorized consumptions in water distribution networks. In the next step, they should be ranked according to their potential in the reduction of the amount of NRW. Besides, incidence of each NRW components imposes some special economic and social impacts. In the present study, by considering data scarcity and uncertainty of the available data and information, risk assessment of NRW and its components has been done through two stages. The first stage is initiated by designing a questionnaire so as to collect data and information about 41 identified parameters in part of Tehran Water and Wastewater Company as the research pilot. Then, in order to demonstrate the probability relationships between factors influencing NRW components, Bayesian Network (BN) is used. At the end of this stage, the parameters are prioritized in terms of their impact. Through the following stage, consequences of NRW components existence are identified and fuzzified, to consider their uncertainty. After that, based on the risk definition and Fuzzy Inference Systems )FIS( concept, fuzzified probability and consequences are combined and NRW components’ risk is calculated. In this study, the calculated risk of NRW components in the study area are “Moderately High” and equal to 7.05, 6.95 and 6.4 for apparent loss, real loss and non-revenue authorized consumptions, respectively which means that decision makers and managers of this district should take serious actions to reduce the amount of risk.