Application of Dynamic Value Stream Mapping in Warehousing Context

Abdoli, Shiva; Kara, Sami; Kornfeld, Bernard

doi:10.5539/mas.v11n1p76

Cited by 12 publications

(10 citation statements)

References 11 publications

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“…Warehouse inventories and wastes tend to absorb uncertainties inside the supply chain. There is less research aiming especially on lean concepts to improve intrinsic warehouse efficiency (Abdoli et al, 2017). Advancements in information technology (IT) allow companies to share inventory data, integrate and communicate effectively with all other players, especially in multi-echelon supply chains.…”

Section: Lean Warehousingmentioning

confidence: 99%

Supply chain lead time reduction in a pharmaceutical production warehouse – a case study

Abideen

Mohamad

2020

IJPHM

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Purpose The purpose of this study is to apply value stream mapping (VSM) in Malaysian pharmaceutical production warehouse. A current and future state value stream map from the raw material receiving end to the production unit was developed to find out waste and unwanted lead time. It was very much essential to cut down the supply chain lead time at the initial phase as the raw material unloading, sorting, temporary storage and dispatch to production were seen contributing to a huge lead time build-up. Design/methodology/approach The study was initiated with the selection of a product family, construction of the current state map, identification of various wastes and the development of future state map. Findings The expected outcomes of the study include the quantification of wastes, improvement in value-added percentage and lead time reduction. Research limitations/implications The study was carried out in a single pharmaceutical company. The results of the study are deployable and can be functional in similar production organizations. Contrary to common VSMs that capture core production processes, this study provides strong insights that shall help design lean supply chains, especially in the pharmaceutical domain. This paper has also addressed the viability of the lean in the pharmaceutical warehouse and the reduction in lead time to improve demand forecasting, marketing and sales. Practical implications The results of this study have indicated that a significant reduction in pharmaceutical warehouse supply chain lead time is possible as a result of the implementation of VSM from the supply chain’s perspective. Social implications The insights from this study help in understanding the pharmaceutical supply chain risks and their outcomes. Originality/value The paper reports a real-time study conducted in a warehouse of a pharmaceutical organization. Hence, the contributions are original.

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Section: Lean Warehousingmentioning

confidence: 99%

Supply chain lead time reduction in a pharmaceutical production warehouse – a case study

Abideen

Mohamad

2020

IJPHM

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“…Abdoli et al innovatively built a dynamic value stream map in a warehousing context. They applied Pareto-distribution in the model to display comprehensive process chain KPIs [20]. Both methods have successfully applied the VSM tool in other areas not specific to the manufacturing sector, but the model set up over a period of time could not deal with the complex or unforeseen conditions.…”

Section: Model Simulationmentioning

confidence: 99%

Industry 4.0: Development of a multi-agent system for dynamic value stream mapping in SMEs

Huang

Kim

Sadri

et al. 2019

Journal of Manufacturing Systems

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As the next wave of productivity, Industry 4.0 aims to enhance the competitiveness and efficiency of manufacturers by bridging the gap between industrial manufacturing and information technology. Through digitalization, it provides the advantage of enabling the real-time/near-real-time monitoring of manufacturing. This digital information allows monitoring tools such as Value stream mapping (VSM) to help the decision makers efficiently capture the non-value-adding processes on the factory floor. However, the application of VSM into small and medium sized enterprises (SMEs), including diverse manufacturing environments, is not an easy task. It is even more challenging especially when the product processing is more complicated and requires improvements to labour management and facility utilization. Conventional VSM is not competent to handle the contemporary rapid dynamic manufacturing environment, complex material flow or efficiency of machine and labour performance. These three are the most important resources on the shop floor to bring transparency to the decision maker. We present a multi-agent system composed of several cost effective embedded Arduino systems as agents and a Raspberry-Pi ® as a core agent. Equipped with Cyber-Physical System (CPS) technology, these agents, placed on or near the station, could reflect the non-linear material value flow without modelling the process or using RFID tags. Moreover, through the sensor node installed in each machine and by knowing the staff ID, the agents could send the relevant information in the form of dynamic value stream mapping (DVSM) in near-real-time for storage, analysis and visualization. We present a suitable visualization tool based in Node-RED ® to carry out DVSM.

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“…Therefore, in order to establish dynamic state, a simulation based approach need to be carried. Uncertainty leads to introduce variability into process itself, which increases the risk of not meeting objectives [6]. The terms of uncertainty, variability, risk and probability are all words that are commonly related to the predictions of future events or unknown outcomes of past events.…”

Section: Introductionmentioning

confidence: 99%

Variability and Uncertainty Analysis in Value Stream Mapping

2019

IJITEE

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Lately, value stream mapping (VSM) is integrated with tools and techniques that belong to other areas of knowledge such as risk management (RM). It is well known tool in showing the value, value stream and the flow which represents three of lean manufacturing (LM) principles. This integration, gives more benefit in covering two of VSM issues such as considering the variability and uncertainty of production processes. In this paper, a model named variable value stream mapping (V-VSM) that integrates the two was showed, explained and tested. The model helps to generate the VSM in a dynamic way with the identification of current and potential risks. These risks might happen in the future bringing a strong impact on not reaching the main objectives in the defined time and cost. The model has been tested by conducting a case study in food sector. A current state map was built using both models, traditional VSM and VVSM. The results showed the effect of variability and uncertainty on the total cycle time (CT) and lead time (LT) values, where the traditional VSM failed to show it by being a static tool. Comparing the results of both models show the differences in presenting the real state of manufacturing environment..

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Application of Dynamic Value Stream Mapping in Warehousing Context

Cited by 12 publications

References 11 publications

Supply chain lead time reduction in a pharmaceutical production warehouse – a case study

Supply chain lead time reduction in a pharmaceutical production warehouse – a case study

Industry 4.0: Development of a multi-agent system for dynamic value stream mapping in SMEs

Variability and Uncertainty Analysis in Value Stream Mapping

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