This article addresses a pressing issue concerning the attainment of required drinking water quality in municipal settings. The solution lies in optimizing the interaction among multiple elements involved in this process. The interaction encompasses the transport system with its geometric, physicochemical, and operational characteristics, as well as the transported medium, which is drinking water with its physicochemical, operational, and incrustation characteristics. This article provides an overview of the current state of piped water systems and explores the integration of factors influencing the formation of incrustation to minimize its occurrence. Special attention is given to the meticulous selection of factors that impact water quality, considering their advantages and limitations in the assessment. The optimization process relies on Saaty’s method of comparing individual factors and conducting a thorough multi-criteria analysis. The outcome of the analysis culminated in the development of a three-stage procedure for de-incrustation of pipeline systems. To ensure a comprehensive perspective, it is crucial to approach the entire issue in accordance with ISO 46001-compliant water management systems.

The minimization and elimination of deviations from quality that could cause a failure in the logistics system should be identified at an early stage in order to reduce the costs for recovering the system to its normal operation. The objective of this study is to analyze the contribution of prevention costs related to quality management to the total costs by focusing on the need to undertake priority preventive actions to ensure logistics services that meet the customer’s quality requirements. The methodology of the study includes the integrated application of conventional scientific methods for comparative analysis and Taguchi’s design for accounting regarding the primary costs for quality management with the predominant use of qualitative analysis. By applying these methods, the following groups of costs have been analyzed: prevention and avoidance of nonconforming quality; quality evaluation and control; and covering the costs for nonconforming quality of the logistics services. The contribution of the three groups of costs has been studied. Based on the analyses, this paper comes to the conclusion that the management of those costs by groups of factors for incurring them has the potential to contribute to the improvement of the quality of logistics.

This book focuses on the integration of quality and risk management in logistics. It examines theoretical and practical guidelines and addresses the main risks of non-compliance with the customer and legislative requirements that arise in a constantly changing external environment. Chapters discuss changes in quality and risk management in logistics, research methodologies, and the risks of non-conforming services. The book also includes a Logistics Services Satisfaction Survey. The analyses presented give us a reason to believe that the development of a systematic approach, including both satisfaction analysis and risk factor analysis, may be sufficient grounds for initiating improvements in customer service.

Background: Modern sensory evaluation methods have two potential applications in biscuit production: to establish product conformity to regulatory and company requirements and to confirm a sustainable product quality or minimum shelf life. To ensure product quality control and effective management, sensory evaluation procedures that can be implemented during the biscuit production process are needed. Objective: This study aimed to develop and validate a procedure for biscuit product quality management based on two sensory analysis methods: Difference Scoring with Key Attribute Scales (DSKAS) using trained evaluators and Check-All-That-Apply (CATA) using untrained evaluators, such as production workers. Methods: The potential of two sensory analysis methods, DSKAS and CATA, to serve as real-time quality measures during biscuit production was assessed. Various factors that may contribute to reliable assessments using these methods were analyzed. A process for sensory evaluation was established and sensory indicators for biscuit product quality were benchmarked. Results: Comparable results were obtained using the two methods. Results obtained for the two methods (despite the stated study limitations) showed no significant difference in the scores of product quality between the panels of trained and untrained experts. The results indicated that a quality control system based on these sensory methods has practical applications in biscuit production and permits the rapid collation of information regarding the causes of deviations in quality indicators. Conclusion: Thus, the DSKAS and CATA methods could be successfully applied during an uninterrupted production process to analyze the quality conformity of biscuit products based on sensory indicators.

This chapter sees an appropriate approach to build a quality management model by managing the risk of nonconforming logistics activities that result from dynamic environmental changes and contingencies. Logistics management has the misconception that reducing complaints would increase satisfaction to the same extent. Models for positively influencing satisfaction should contain much more than one variable. The customer satisfaction model used in this chapter contains six latent variables: Logistics satisfaction survey; analysis of data from the survey to measure satisfaction with logistics services; chapter to analyze the risk of noncompliant processes in logistics services; survey data analysis to measure the risk of noncompliant processes in logistics services. FMEA analysis was used as a method to investigate the consequences of emerging risks by quantifying the severity, likelihood of occurrence, and detection of nonconforming logistics services that further generated the RPN. The main objective of this chapter is to define the research design and the methods of data collection and analysis.

For organizations providing logistics services, dynamic changes in the external environment impact process performance risk and threaten effective integration of resources, coordinated management of operations and consequently, negatively impact customer satisfaction and loyalty. These processes call for an improvement of logistics service management and an integrated management concept combining the integration of satisfaction analysis processes and the risks that can negatively impact the delivery of a satisfying logistics service. The study focuses on the integration of quality and risk management in the supply chain to examine the theoretical and practical guidelines and address the main risks of non-compliance with the customer and legislative requirements that arise in a constantly changing external environment. The research approach is to look for the synergistic effect of quality and risk management by applying appropriate tools for their integration based on the definition of the applicable conditional variables in the specific existing situation. The analysis conducted to give us reason to believe that the development of a systematic approach, including both satisfaction analysis and risk factor analysis, may be sufficient grounds for initiating improvements in customer service.