Sustainability and Industry 4.0: Definition of a Set of Key Performance Indicators for Manufacturing Companies

Contini, Giuditta; Peruzzini, Margherita

doi:10.3390/su141711004

Cited by 45 publications

(31 citation statements)

References 64 publications

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“…DSS mainly concerns the strategic planning, budgeting forecasting, insights and analysis of any data which perform an effective activity to get profitable growth in major business. This system is also important to track Key performance indicators (KPI) for proper investigation of employees [17]. Strategic planning is mainly required with setting up of all goals which an organisation proceeds to plan.…”

Section: Importance Of Decision Support System In Businessmentioning

confidence: 99%

Decision Support System: Overview, Different Types and Elements

Fernando¹,

Baldelovar²

2022

TTIDMKD

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Decision support system is especially conducts with computing elements which mainly depicts successful report of a company. This system allow to the application of technological development and software application to maintain ethical ways of business practices. The major types of DSS are document driven DSS, model driven DSS, communication driven DSS, data driven DSS and knowledge driven DSS. These types are mainly impact on business practices which finally creates systematic effect on advance production. Graphical interfaces and artificial intelligence are major aspects in this decision making procedure. In the following part of the study, the challenges of using a decision support system in a business has been illustrated in an extensive manner. There are several types of challenges which are crucial before using DSS in a business. For a decision maker, that individual should follow and be aware of technology implementation within a business for a certain manner. Also, required elements of the decision support system have been discussed with the help of proper insights. Also, the study has served with discussion and conclusion to the following topic.

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Section: Importance Of Decision Support System In Businessmentioning

confidence: 99%

Decision Support System: Overview, Different Types and Elements

Fernando¹,

Baldelovar²

2022

TTIDMKD

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“…For example, Neri et al [21] proposed a balanced set of 33 SKPIs (Triple bottom line) to measure the sustainability performance of industrial supply chains based on the balanced scorecard approach. Contini and Peruzzini [22] provided a comprehensive overview of company SKPIs based on a systematic literature review. They identified a set of 117 SKPIs that allow measuring the general corporate sustainability performance according to the triple bottom line approach in manufacturing companies.…”

Section: Sustainability Key Performance Indicatorsmentioning

confidence: 99%

Selecting Sustainability Key Performance Indicators for Smart Logistics Assessment

Lenort¹,

Wicher²,

Samolejová³

et al. 2022

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The application of smart technologies and applications is becoming increasingly common in the logistics processes of companies and supply chains. However, standard logistics indicators are still used to evaluate their performance, which contradicts the sustainable development strategy of many industrial enterprises and their supply chains. Thus, the article aims to design a methodology for selecting sustainability key performance indicators (SKPIs) suitable for assessing smart logistics and its technologies and applications. The research relies on cluster analysis of the SKPIs recommended in the relevant literature, frequency analysis of indicators used in practice and their comparison. The cluster analysis showed that the primary attention in the references is given to sustainability’s economic and environmental dimensions. Most frequently, the authors highlighted the importance of the following indicators: production-related costs and investments, planning performance and quality, customer satisfaction, energy efficiency, waste intensity and treatment, emissions, and resource efficiency. On the contrary, the frequency analysis corroborated that leading industrial enterprises paid more-or-less balanced attention to all areas of sustainability, but at the company level. The article’s primary result constitutes a methodology comprising six steps, respecting the results of the analyses carried out: (1) Sustainability objectives definition; (2) Establishing SKPIs cluster pool; (3) Definition of criteria for selecting SKPIs clusters; (4) Selection of SKPIs clusters; (5) Definition of SKPIs and their parameters; and (6) Development of SKPIs hierarchical structure.

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“…With the adoption of the Industry 4.0 concept, the effect of digitalization has been seen in many applications, such as smart factories [1,2], lean manufacturing [3,4], airport systems [5], and flexible production systems [6]. Review sources such as Fuartes et al [7], Baran and Korkusuz Polat [8], and Contini and Peruzzini [9] can be consulted for more detailed information on Industry 4.0. In the face of the evolving world market, the desires and needs of human beings also change.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy-Based Application for Marketing 4.0 Brand Perception in the COVID-19 Process

Yasar

Polat

2022

Sustainability

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One main point distinguishing Marketing 4.0 from other marketing approaches is the “customer”. Marketing 4.0 focuses on “act” and “advocacy” within the 5A (aware, appeal, ask, act, and advocate) customer path. In Marketing 4.0, advocacy is as important as the purchase of customers. In order to have good competitive power in the digital world, and to follow and guide their digital customers, brands need to determine their marketing strategies by considering the 5A customer path, in which there may be touchpoints where brands can intervene. During the COVID-19 pandemic, there was a significant decrease in the incomes of consumers due to the closure of businesses and/or personnel dismissals. With this decrease in income, consumer purchasing habits have changed. For this reason, many companies have started studies to explore how to increase customer loyalty. This study aimed to understand how the marketing process and brand loyalty of a company operating in the cleaning products category were affected before and during the pandemic and to identify weak touchpoints in the customer path by developing a 5A customer path model based on fuzzy logic. The study also aimed to monitor customer purchasing and brand advocacy rates during the pandemic and detect the problematic touchpoints on the 5A customer path. The main contribution of this study to practitioners and brand strategy managers is that it brings a different dimension to the field of Marketing 4.0 applications with a fuzzy logic approach. In this study, a rule-based fuzzy logic application was used for the first time to identify the deficiencies in the 5A customer path. With the fuzzy logic approach, an artificial intelligence technology, failure points on the 5A customer path can be known in advance, and brand managers will be able to determine appropriate strategies to increase the advocacy of their brands and take precautions where necessary. Brand managers can periodically collect customer data and use fuzzy logic to identify and eliminate 5A customer path disruptions.

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Sustainability and Industry 4.0: Definition of a Set of Key Performance Indicators for Manufacturing Companies

Cited by 45 publications

References 64 publications

Decision Support System: Overview, Different Types and Elements

Decision Support System: Overview, Different Types and Elements

Selecting Sustainability Key Performance Indicators for Smart Logistics Assessment

A Fuzzy-Based Application for Marketing 4.0 Brand Perception in the COVID-19 Process

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