Possibilities for the Integration of Quality Management Tools and Methods with Digital Technologies

Vasiliev, Victor A.; Aleksandrova, Svetlana V.; Aleksandrov, Mark N.; Velmakina, Yu. V.

doi:10.1134/s003602952013039x

Cited by 15 publications

(3 citation statements)

References 2 publications

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“…In other words, Quality 4.0 can be summarized as using I4.0 key technologies to improve quality and overcome issues with traditional QM practices (Carvalho et al , 2021). To see the positive relationships between Quality 4.0 and I4.0 (Vasiliev et al , 2020), the reader refer to the comprehensive review by Chiarini (2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Improving automated pallet handling procedures at a Saudi milk factory through overall equipment effectiveness

Alnounou

Asiri²,

Alhindi³

et al. 2022

BIJ

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PurposeSaudi Arabia's 2030 vision targets an increase of 34% in non-oil revenue participation in the GDP, thus the need for automation and digital transformation. The Company ER is a market leader producing high-quality dairy products in the Kingdom and is a pioneer in the production industry. The company has recently increased the capacity of its milk factory to meet its vision. An investment was made to automate the pallet handling procedures at the milk factory to provide increased production for daily consumption. The new automation transition in Company ER's milk factory provides a unique opportunity to utilize lean management tools to improve the current automated processes before commercialization.Design/methodology/approachOEE (overall equipment effectiveness) will monitor losses for different operational losses in the new automated system and indicate system improvements, with 85% as the target. Based on DMADV (design, measure, analyze, design and validate) methodology, this study analyzes the entire automated pallet handling system. It uses lean tools to identify areas for improvement, identify waste elements and propose solutions to achieve Company ER's OEE targets.FindingsIn this paper, the outcomes will be presented as documented solutions that address the losses encountered in the production system, showing a 12.8% increase in the system's OEE.Research limitations/implicationsOwing the time and resource constraint, this study only involved automated pallet handling procedures in a milk production facility. Hence, the generalization of the result is slightly limited. More studies in several different processes and sectors are required.Practical implicationsThis study provided a valuable tool for researchers for gaining deeper understanding regarding the lean manufacturing and its implementation. For practitioners, it is useful to evaluate the degree of lean manufacturing tools in their material handling systems.Originality/valueThis study is the first attempt to develop lean manufacturing constructs for evaluating the automated pallet handling procedures in a milk production facility.

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Section: Literature Reviewmentioning

confidence: 99%

Improving automated pallet handling procedures at a Saudi milk factory through overall equipment effectiveness

Alnounou

Asiri²,

Alhindi³

et al. 2022

BIJ

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“…View of customer is critical to assessing the service quality because customer owns various perceptions for the service factors [19,18]. If we want to assess suppliers, we should care about sustainability criteria as the criteria play a pivotal role in the suppliers' overall efficiency and effectiveness [17].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Research of the TQM evaluation in a service company

Salamakhina

Poliaková

Tomaszewska

et al. 2021

The Archives of Automotive Engineering – Archiwum Motoryzacji

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TQM is a term associated mainly with ensuring the quality of production, where the emphasis is on quality in all parts of the production process. The introduction of TQM into the operation of a service company therefore seems to be more difficult. In the presented article we address the basic requirements for the introduction of TQM in a company providing road freight transport. The basic PDCA approach needs to be implemented in all processes of the actors involved in the supply chain. The article points out the fact that evaluating the quality of the provided service only on the basis of a single indicator, which is the monitoring of the number of complaints and claims, is not sufficient as evidence of the established TQM system. The customer requires evidence of long-term and serious monitoring. As part of this monitoring, it proposes the creation of an effective evaluation system for evaluating the quality of the external service provider. To determine the priority requirements of the customer, it is appropriate to apply several known simple evaluation methods. In the article, we applied the pairwise comparison method and the Saaty’s method to determine the order of importance of the quality criteria that we previously found in the customer survey: integrity of the consignment, compliance with the agreed delivery time and completeness of the shipment, including documents. We therefore recommend focusing on these criteria when providing TQM in the company.

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“…The big data is the outcome of IoT [1]. Digitalization-based manufacture is often referred to as Industry 4.0 [2]. The data from IoT in manufacturing site is big volume, real-time, variety in operation, pure and practical digitals, which is called as Big Data.…”

Section: Introductionmentioning

confidence: 99%

Study of the Predictive Mechanism with Big Data-Driven Lean Manufacturing and Six Sigma Methodology

Hong¹,

Wu²,

Zhang³

et al. 2021

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

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In order to achieve the sustainable development, the predictive mechanism with big data-driven Lean Manufacturing and Six Sigma methodology is proposed in this paper. The sustainable development for serious competition is often studied, however, the predictive mechanism with big data-driven Lean Manufacturing and Six Sigma methodology is seldom mentioned in publications. This paper reports the predictive mechanism from the perspective of big datadriven Lean Manufacturing. The key techniques including PLC communication, DMAIC roadmap, SPC technique and Hypothesis Testing are utilized to eliminate the waste and obtain continuous improvement. The demonstration of calculator production indicates the predictive mechanism can effectively eliminate the waste and improve the output by 60% with the sufficient capability of Cp>1.33 and Cpk>1.

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Possibilities for the Integration of Quality Management Tools and Methods with Digital Technologies

Cited by 15 publications

References 2 publications

Improving automated pallet handling procedures at a Saudi milk factory through overall equipment effectiveness

Improving automated pallet handling procedures at a Saudi milk factory through overall equipment effectiveness

Research of the TQM evaluation in a service company

Study of the Predictive Mechanism with Big Data-Driven Lean Manufacturing and Six Sigma Methodology

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