The impact of supply chain 4.0 technologies on its strategic outcomes

Alhalalmeh, Mohammad Izzat

doi:10.5267/j.uscm.2022.8.008

Cited by 5 publications

(7 citation statements)

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“…Delivery is also positively impacted with, for example, product delivery being more accurate [41]. Cost performance is also enhanced due to the use of analytics in SC 4.0 [43], for example, inventory costs due to a better forecast process [44] or operation and communication costs [8]. Handanga et al (2021) [42] reported that big data analytics can reduce costs by 20-50%.…”

Section: Analysis Of the Papersmentioning

confidence: 99%

“…A further positive aspect concerns quality [46]. One of the strategic benefits is improvements in quality for both products and services [8].…”

Section: Analysis Of the Papersmentioning

confidence: 99%

“…The analysis of data allows for more targeted decisions [52] and improves the entire process of decision making [53]. In fact, analytical tools allow easier and quicker access to data [8]. Other informational benefits include information exchange [16], information processing [54], information sharing [38], extrapolation of strategic information from data by discovering insights [35], use of knowledge not previously considered [55], timeliness of data processing [56], and reductions in uncertainties [36].…”

Section: Analysis Of the Papersmentioning

confidence: 99%

“…Technologies from Industry 4.0 along with significant investments in information technologies and their applications have enabled manufacturers to trace the intangible flow of information. As reported by Alhalalmeh et al (2022) [8], numerous papers have been published in the field of Industry 4.0 and supply chain management in recent years, and the union of these two concepts has produced the term Supply Chain 4.0 (SC 4.0). SC 4.0 can be defined as "a transformational and holistic approach for supply chain management that utilizes Industry 4.0 disruptive technologies to streamline supply chain processes, activities and relationships to generate significant strategic benefits for all supply chain stakeholders" as reported in the findings of Frederico et al (2020) [9].…”

Section: Introductionmentioning

confidence: 99%

“…For this reason, SC 4.0 includes a supply chain big data center where all the data are stored and where a fast, comprehensive analysis can be carried out by applying big data analysis and machine learning techniques. Due to these tools, SC 4.0 can achieve strategic goals and improve general performance [8]. Figure 1 visually represents the above.…”

Section: Introductionmentioning

confidence: 99%

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Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review

Barzizza

Biasetton

Ceccato

et al. 2023

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Owing to the development of the technologies of Industry 4.0, recent years have witnessed the emergence of a new concept of supply chain management, namely Supply Chain 4.0 (SC 4.0). Huge investments in information technology have enabled manufacturers to trace the intangible flow of information, but instruments are required to take advantage of the available data sources: big data analytics (BDA) and machine learning (ML) represent important tools for this task. Use of advanced technologies can improve supply chain performances and support reaching strategic goals, but their implementation is challenging in supply chain management. The aim of this study was to understand the main benefits, challenges, and areas of application of BDA and ML in SC 4.0 as well as to understand the BDA and ML techniques most commonly used in the field, with a particular focus on nonparametric techniques. To this end, we carried out a literature review. From our analysis, we identified three main gaps, namely, the need for appropriate analytical tools to manage challenging data configurations; the need for a more reliable link with practice; the need for instruments to select the most suitable BDA or ML techniques. As a solution, we suggest and comment on two viable solutions: nonparametric statistics, and sentiment analysis and clustering.

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