Implementation of Lean through VSM modeling on the distribution chain: Automotive case

Kihel, Yousra El; Amrani, Aicha; Ducq, Yves; Amegouz, Driss

doi:10.1109/logistiqua.2019.8907282

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…The area of improvement included the following: implementation of 5s lean to improve order preparation stations, operator task specialization and reducing unnecessary truck movements. The result showed a 60% improvement in the cost of packaging and a 30% reduction in delivery time (Kihel et al , 2019). In one of the recent studies by Rungruengkultorn and Boonsiri (2022), the operation time for a warehouse is reduced by 13% using the lean Six Sigma approach.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The results showed 17.6% time savings for manual operations and suggested implementing standard operating procedures (SOPs) for haulers for the detailed procedure and timeline to be followed (Zacharski et al , 2021). As for the automotive industry, a study focused on the downstream supply chain distribution process (Kihel et al , 2019); through VSM, non-value added (NVA) activities were identified, and a future action plan was implemented. The area of improvement included the following: implementation of 5s lean to improve order preparation stations, operator task specialization and reducing unnecessary truck movements.…”

Section: Literature Reviewmentioning

confidence: 99%

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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%

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

View full text Add to dashboard Cite

show abstract

“…These organizations felt as first challenge the need to optimize the production and speed up the flow while keeping high level of quality rate for the products using Lean implementation methods (Amrani and Ducq 2020). Bring high rate of quality is important and lead the manufacturing rate down by eliminating the waste and non-value added work is recommended (El kihel et al 2019;Dhiravidamani et al 2018;Qi et al 2017). Context importance to deploy the relevant Lean practices in aeronautic SC has been studied and confirmed in (Amrani and Ducq 2020;Possik et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Methodology combining industry 4.0 technologies and KPI’s reliability for supply chain performance

Kihel

Amrani

Ducq

et al. 2023

International Journal of Computer Integrated Manufacturing

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In the context of internationalization, the supply chain is becoming complex with a profusion of decisions to take. The modeling and measurement of supply chain (SC) performance has been widely addressed by researchers, however the arrival of new technologies in the era of industry 4.0 is changing the environment and implicitly impacting the Key Performance Indicators (KPI) for SC management. Although several models exist, none of them is specifically oriented for SC operations management considering the importance of KPI and inclusion of technologies of industry 4.0 concomitantly. This paper presents a research methodology targeting a reference model to grasp SC state with decisions identification called GRAILOG from which a set of KPI is built to support the different decisions. A methodology called PPTechIP is then described and demonstrated to lead and advise the company on the industry 4.0 transformation relevant to build reliable KPI. PPTechIP is based on a set of radars split into different decision levels and functions of the SC based on GRAILOG model. Potential of Progress is calculated and assist the manger in their decision making. PSA (French Car Manufacturer) embracing the era of industry4.0 was chosen to implement the model. The results, using the suggested methodology, provide several interesting insights in the control indicators of PSA. Big Data, Augmented reality and collaborative robots grasp great attentions from PSA and are judged as prior to continue the follow up and Cloud computing is judged as being an alert, carefulness to over investment has to be considered.

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Quantitative modelling approaches for lean manufacturing under uncertainty

Rojas,

Mula,

Sanchis

2023

International Journal of Production Research

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Implementation of Lean through VSM modeling on the distribution chain: Automotive case

Cited by 6 publications

References 5 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

Methodology combining industry 4.0 technologies and KPI’s reliability for supply chain performance

Quantitative modelling approaches for lean manufacturing under uncertainty

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