scholarly journals Using Statistical Control Charts to Monitor Building Water Consumption: A Case Study on the Replacement of Toilets

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2474
Author(s):  
Lucas Lepinski Golin Freitas ◽  
Andreza Kalbusch ◽  
Elisa Henning ◽  
Olga Maria Formigoni Carvalho Walter

This manuscript proposes the usage of Statistical Control Charts (SCC) to monitor water consumption in buildings. The charts were employed to study the impact of replacing toilets, providing visual and statistical feedback to measure the efficiency gain resulting from the replacement of outdated flushing equipment with newer devices. The case study was conducted in a building from a university in the South of Brazil. The building has four restrooms, from which a total of 41,554 readings were collected during a 15-month period using digital water meters. After the toilets were replaced, a reduction averaging 30.22% in water consumption was observed (from 7.51 L/flush/day to 5.24 L/flush/day). Additionally, the control charts were able to pinpoint dates when unique events happened during the water-consumption monitoring process.

2015 ◽  
Vol 26 (1) ◽  
pp. 57-79 ◽  
Author(s):  
Giuliano Almeida Marodin ◽  
Tarcísio Abreu Saurin

Purpose – The purpose of this paper is twofold: to classify the risks that affect the lean production implementation (LPI) process, and to demonstrate how that classification can help to identify the relationships between the risks. Design/methodology/approach – Initially, a survey was conducted to identify the probability and impact of 14 risks in LPI, which had been identified based on a literature review. The sample comprised 57 respondents, from companies in the south of Brazil. An exploratory factor analysis was carried out to analyze the results of the survey, allowing the identification of three groups of risks in LPI. Then, a case study was conducted in one of the companies represented in the survey, in order to identify examples of relationships between the risks. Multiple sources of evidence were used in the case study, such as interviews, observations and documents analysis. Findings – The risks that affect LPI were grouped into three categories: management of the process of LPI, top and middle management support and shop floor involvement. A number of examples of relationships between the risks were identified. Research limitations/implications – The survey was limited to companies from the south of Brazil and therefore its results cannot be completelly generalized to other companies. Moreover, the results of the survey were not subjected to a confirmatory factor analysis. Originality/value – This study helps to improve the understanding of LPI, as: it re-interprets the factors, barriers and difficulties for LPI from the perspective of risk management, which had not been used for that purpose so far; it presents a classification of the risks that affect LPI, which can support the understanding of the relationships between the risks and, as a result, it can support the development of more effective methods for LPI.


2020 ◽  
Vol 29 (4) ◽  
pp. 334-352
Author(s):  
Ambra Palazzi ◽  
Rita Meschini ◽  
Marina Dal Magro Medeiros ◽  
Cesar Augusto Piccinini

2021 ◽  
Vol 343 ◽  
pp. 05011
Author(s):  
Carmen Simion

Quality is considered asthe principal factor that determines the long-termsuccess or failure of any organization. Organizations perform quality control by monitoring process output using Statistical Quality Control, performed as part of the production process (Statistical Process Control, SPC) or as a final quality control check (Acceptance Sampling).SPC is a major quality management statistical tool and its instruments (control charts and capability analysis) are applied to virtually any type of organization (manufacturing, services or transactions - for example, those involving data, communications, software, or movement of materials). The aim of this paper is to present a case study, realized in a manufacturing organizationfrom Sibiu, for a new product used in the automotive industry to check its conformance to designed requirements. The output data were analyzed using statistical analysis software Minitab.


Author(s):  
M Brinkley ◽  
A A Ilemobade ◽  
M Ncube

Mechanical water meter accuracy degrades over time due to wear and tear. Based on this premise, many water utilities around the world undertake meter replacement projects. In many instances, these projects neither assess the potential or actual impacts of meter replacement on consumption and utility revenue, nor undertake meter replacement based on a best practice, customised metering policy. From 2013 to 2015, Johannesburg Water (SOC) Limited embarked on a project to replace more than 50 000 mechanical water meters that had not been read over a period of 180 days due to technical faults. This study obtained and analysed two databases of these meters and arrived at a sorted and validated database comprising 3 679 meter replacements. For each meter replacement, twelve months of water consumption data was obtained for the period prior to and after replacement. This study then investigated the impact of replacement on water consumption, utility revenue and payback periods. Some high-level highlights from the study include the following: (i) a metering policy that addresses such issues as efficient meter database management, and the optimum meter replacement age and/or volumetric reading, is critical for any water utility if it is to obtain the best results from meter replacement; (ii) in order to guarantee the highest returns on investment, bulk meters (40 mm and larger) should be prioritised for meter replacement over single-stand residential meters; (iii) the replacement of 20 mm and 25 mm meters with 15 mm meters resulted in more accurate metering of consumption by virtue of increased consumption; and (iv) payback of the 15 mm replacement mechanical meters was achieved within 12 months, with the replacement of 20 mm and 25 mm meters resulting in average monthly revenue increases per property of R266.70 and R203.08 respectively.


Author(s):  
Alcindo Neckel ◽  
Laércio Stolfo Maculan ◽  
Anaise Breda ◽  
Daniela Maroni ◽  
Edilaine Cristina Becker ◽  
...  

Author(s):  
Hannah Gill

This chapter considers the reception of migrants as an introduction to issues of demographic change and economic transition in the state. Using Alamance County as a case study, this chapter discusses how immigration has reopened debates on race, resources, and diversity in the South. It examines the impact of local deportation policies on Latino communities and considers long-term consequences for the county and state as a whole.


2016 ◽  
Vol 20 (04) ◽  
pp. 1640004 ◽  
Author(s):  
SOPHIE HOOGE ◽  
MATHIAS BÉJEAN ◽  
FRÉDÉRIC ARNOUX

In several industries, competitive and societal factors have highlighted the need for incubating dedicated radical innovation (RI) capabilities. Traditional approaches to RI strategies have often emphasised either organisational or cognitive aspects, but tend to overlook how these dimensions interact within the organisation. This paper tackles the issue of these interplays by investigating the effects of a creativity-based collaborative method, the KCP Workshops, on the RI capability of a firm. We present an in-depth case study of a leading aeronautics firm that adopted the method to face its RI challenges. While being consistent with prior research and underscoring the impact of organisational settings on creative cognitive processes, our analysis empirically demonstrates a triple capability developed through the KCP Workshops: (1) collectively building a conceivable RI strategy, (2) deploying a monitoring process adapted to the exploration of cognitive breakthroughs, (3) collectively building “emerging creative organisations” at the ecosystem level to support the development of RI strategy. Beyond the performance of the RI capability for commercial applications, these findings underline how the collective design of an RI strategy also involves players in the exploration and establishment of organisational innovations.


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