Customer dissatisfaction index (CDI): pilot use in network planning

Holm, Anders; Pylvänäinen, Jouni; Owe, Pernilla; Paananen, Heikki; Bollen, M.H.J.

doi:10.1049/cp.2009.0709

Cited by 6 publications

(5 citation statements)

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“…In an IT case, preferred customers were served first and enjoyed special server capacity to satisfy their needs (Goes et al , 2010). An energy plant accepted different failure rates for different customers: with standard customers; the target was a maximum of 8 h or 3 interruptions; whereas for preferred customers; and the target was lower than 1 h or 2 interruptions (Holm et al , 2009). …”

Section: Preferred Customership: Benefits Theory and Evidencementioning

confidence: 99%

Comparing public and private organisations in their quest to become a preferred customer of suppliers

Schiele

2020

JOPP

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Purpose In industrial procurement, the concept of supplier satisfaction has gained increasing attention. Satisfied suppliers have been found to provide better prices, more innovations and priority in bottleneck situations. This paper aims to analyses in how far the concept of supplier satisfaction can be transferred to the public procurement domain. Design/methodology/approach Two large quantitative data sets are compared, one from a sample of suppliers evaluating their industrial clients, the other from a public customer being evaluated by its suppliers. Findings The same criteria which explain supplier satisfaction with its customer, which are relevant in the private and industrial case also hold true for the public case, namely, growth opportunity, profitability, relational behaviour and operative excellence are important criteria for distinction. Only relational behaviour by the customer scored significantly higher in the public sample, indicating that this is more an influencing factor for public organisations. Research limitations/implications Showing the relevance of supplier satisfaction also for the public domain paves the way to further research better understanding how to measure satisfaction and how to increase suppliers’ satisfaction. Practical implications Buying organisations are asked to apply a form of “upstream marketing”, in which they actively try to promote their organisation with their suppliers and increase its attractiveness. This is a new way to get access to better services from suppliers. Social implications Analysing supplier satisfaction, on the one hand, allows to improve public purchasing acts, which generate social benefits in better using public money. On the other hand, caring for the well-being of suppliers is per se contributing to a socially more desirable world. Originality/value Supplier satisfaction is a new concept in the public procurement domain. This is the first paper to introduce this approach.

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Section: Preferred Customership: Benefits Theory and Evidencementioning

confidence: 99%

Comparing public and private organisations in their quest to become a preferred customer of suppliers

Schiele

2020

JOPP

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“…In addition, the CDI has been introduced in network planning on simulations and some other relevant projects [7]. Customer's dissatisfaction criteria continue to interest researchers and distribution companies, for example an analysis of their behavior on the Finish distribution model concludes that the target varies for different city areas and discusses the proposal to be adapted to a company level (network structure and information system).…”

Section: Index Equation Sustained Interruption Indicesmentioning

confidence: 99%

Discussion on Reliability and Power Quality in the Smart Grid: a prosumer approach of a time scalable index

Florencias-Oliveros¹,

González-de-la-Rosa²,

Agüera-Pérez³

et al. 2024

RE&PQJ

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This article presents a discussion related to the measurement techniques of the electric energy quality within the smart grid (SG) context, and considering the producer-consumer (prosumer) approach. It establishes the basis where new power quality (PQ) indexes should be proposed, in order to complement the current recommendations regarding consumer dissatisfaction indexes (CDI) on which the network should be assessed and planned. Indeed, the current indices only consider the number of interruptions and the time during which they occur, and do not take into account neither the type nor the non-linear loads (distributed energy resources, DER) connected to the SG, which are giving rise to new kinds of transients coupled to the electrical power supply signal. In this sense, the paper provides reasons on why temporal evolution of energy and its deviation from the contractual specifications should be monitored and assessed, with the goal of making real-time decisions. Based on advanced statistical signal processing, forecasting methods and artificial intelligence, this focus conveys the conclusive need for a dual measurement index of PQ reliability, on the basis of dynamic temporal scalability, and time-space compressions. A practical example is outlined.

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“…Thus, these concepts need to be reformulated, as the customer is acquiring an important role in power quality assessment within the framework of the SG. In this sense, researchers have proposed customer dissatisfaction indices (CDI), which are usually conceived of for network planning and defined as the probability of not having fulfilled the contractual conditions regarding the power supply, when a level of security is overcome [16,24,25]. A recent example of the customer-based reliability approach consists of a solution proposed for Finish distribution companies [26].…”

Section: Pq Global Indicesmentioning

confidence: 99%

Reliability Monitoring Based on Higher-Order Statistics: A Scalable Proposal for the Smart Grid

et al. 2018

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The increasing development of the smart grid demands reliable monitoring of the power quality at different levels, introducing more and more measurement points. In this framework, the advanced metering infrastructure must deal with this large amount of data, storage capabilities, improving visualization, and introducing customer-oriented interfaces. This work proposes a method that optimizes the smart grid data, monitoring the real voltage supplied based on higher order statistics. The method proposes monitoring the network from a scalable point of view and offers a two-fold perspective based on the duality utility-prosumer as a function of the measurement time. A global PQ index and 2D graphs are introduced in order to compress the time domain information and quantify the deviations of the waveform shape by means of three parameters. Time-scalability allows two extra features: long-term supply reliability and power quality in the short term. As a case study, the work illustrates a real-life monitoring in a building connection point, offering 2D diagrams, which show time and space compression capabilities, as well.Keywords: signal waveform compression; higher-order statistics (HOS); power quality (PQ); computational solutions for advanced metering infrastructure (AMI); smart grid (SG) applications

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Customer dissatisfaction index (CDI): pilot use in network planning

Cited by 6 publications

References 0 publications

Comparing public and private organisations in their quest to become a preferred customer of suppliers

Comparing public and private organisations in their quest to become a preferred customer of suppliers

Discussion on Reliability and Power Quality in the Smart Grid: a prosumer approach of a time scalable index

Reliability Monitoring Based on Higher-Order Statistics: A Scalable Proposal for the Smart Grid

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