Incorporating Variability in Lean Manufacturing: A Fuzzy Value Stream Mapping Approach

Liu, Qingqi; Yang, Haojin

doi:10.1155/2020/1347054

Cited by 8 publications

(8 citation statements)

References 32 publications

(45 reference statements)

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“…A conveyor manufacturing company was selected as a case study due to the high variety and low volume process [19]. The manufacturing system is make-to-order type and has a high variety of products with varying process parameters [20,21]. Due to the high customized order from the customer a product family was selected based on their weight, component type, changeover time, shape and size.…”

Section: Methodsmentioning

confidence: 99%

Determination of Process Variability by Using Triangular Fuzzy Number to Minimize Production Lead Time in a Dynamic Value Stream Mapping

Thulasi

Faieza²,

Azfanizam³

et al. 2023

AEJ

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This paper shows the incorporation of Value Stream Mapping (VSM) with triangular fuzzy numbers to determine variability and uncertainty in a conveyor manufacturing company. VSM is a pen and paper tool which is used to indicate wastes and bottleneck processes graphically and develop an action plan to enhance the production line. However, some weaknesses are identified in the conventional VSM where it fails to consider variability in a dynamic manufacturing environment. As such, this paper fills up the research gap by using Triangular Fuzzy Number (TFN) to illustrate time intervals, inventories and other variables of VSM operation. The purpose of this paper is to minimize total production lead time (TPLT) and total value-added time (TVAT) in the current value stream of the conveyor chain. More accurate details of variability in the dynamic manufacturing environment can be illustrated by a Triangular Fuzzy Number (TFN) of VSM. As a result, the future value stream map shows 50% and 22% reduction in TPLT and TVAT respectively compared to the current value stream. In conclusion, this paper also recommends that in order to optimize the accuracy of VSM analysis further, a discrete event simulation can be used to examine the fuzzy VSM.

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Section: Methodsmentioning

confidence: 99%

Determination of Process Variability by Using Triangular Fuzzy Number to Minimize Production Lead Time in a Dynamic Value Stream Mapping

Thulasi

Faieza²,

Azfanizam³

et al. 2023

AEJ

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show abstract

“…4.3.2 Decision-making method. The uncertainty and inherent variability of data are the root causes of waste (Liu and Yang, 2020), so there are some decision-making methods that are used in VSM research to deal with these uncertainties, such as analytic hierarchy process, fuzzy and other multiple criteria decision-making methods (Singh et al, 2006a;Lu et al, 2011;Jordan et al, 2020;Luz et al, 2021). Through literature analysis, it can found that fuzzy theory was used to analyze data related to time, inventory and other operating variables in VSM (Braglia et al, 2009).…”

Section: Technology Expansion 431 Simulation Analysismentioning

confidence: 99%

“…Afterwards, these methods were used to map the value stream and to determine the best future-state VSM (Lu et al , 2011). Recently, some scholars have used triangular fuzzy numbers and normal fuzzy numbers to describe the time interval, inventory and other operating variables in VSM based on the multiattribute characteristics of data, and build a fusion model of fuzzy and VSM (Liu and Yang, 2020).…”

Section: Abstract and Research Topic Analysismentioning

confidence: 99%

Advances and hotspots analysis of value stream mapping using bibliometrics

Liu

Zhang

2022

IJLSS

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Purpose Value stream mapping (VSM) is a visualization tool to identify and eliminate waste and widely applied in manufacturing, transportation, construction, service and other industries, especially in the Industrial 4.0 technology era. The purpose of this paper is to review and analyze the VSM literature to identify the advances and hotspots of VSM literature. Design/methodology/approach Taking the VSM literature collected from the Web of Science Core Collection database as the research samples, this research used the bibliometric and keyword co-occurrence analysis to analyze the publication trend, research topics and their contents of VSM from concept integration, application sectors and technology expansion. Findings With the development of research, the latest research integrates conceptual integration, application departments and technology expansion to develop more complex research designs. It can be integrated with simulation, six sigma, big data, Internet of Things and other technologies to expand the analysis and design ability of VSM, which enhances the adaptability of VSM to various scenarios. Originality/value This research contributes to VSM literature by conducting a systematic review based on the citation structure within VSM research and identifies the established and emerging areas of research on VSM.

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“…Keykavoussi and Ebrahimi (2020) developed a new fuzzy approach of cost-time profile (CTP) that has been considered and compared to draw future VSM. Liu and Yang (2020) proposed a fuzzy VSM to consider the variability in manufacturing environments. They used two alternative forms of fuzzy number: triangular fuzzy numbers (TFNs) and normal fuzzy numbers (NFNs).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Lean Thinking thus emerged as an effective way to continuously decrease costs and improve profits by utilizing the minimum required level of essential attributes such as time, space, machine, equipment, and energy to produce a product or provide a service. Liu and Yang (2020) claim that value stream mapping (VSM) is one of the primary analytical tools for identifying waste and optimizing a production line. The value of a product also increases when wastes from transportation, inventory, waiting, over-production, overprocessing, defects, and rework are eliminated or reduced (Sullivan, McDonald, and Aken, 2002).…”

Section: Introductionmentioning

confidence: 99%

A Novel Dynamic and Fuzzy Value Stream Mapping (DFVSM): System Dynamics and Fuzzy Logic Integration

Serrato

2021

Ing. Inv.

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Value stream mapping (VSM) is a method to identify waste and activities that do not add value. One of its main disadvantages is that the parameters used in the process and material flows are deterministic. The motivation of this research is to improve the reliability of the estimation of the lead time in VSM, transitioning from a static model to a dynamic model that incorporates uncertainty and imprecision in the data, as well as to develop a novel dynamic and fuzzy value stream mapping (DFVSM) based on integrating system dynamics and fuzzy logic. One of the main contributions of this research is to develop a fuzzy system in the same system dynamics interface that incorporates uncertainty and vagueness to the efficiency and effectiveness percentage variable (OEE%) to increase the reliability of the delivery time planning. The stages of DFVSM are explicitly described and applied to real data for a textile company in southern Guanajuato. A sensitivity analysis of the proposed model was integrated which identifies the critical factors for the delivery of the order, and achievable times were proposed for the delivery times of the supplier and the client, thus reducing the expected delivery time by 28%. One of the relevant conclusions of this work is that, to plan the lead time of an order, the uncertainty of the main parameters such as supplier and customer shipping times be considered to satisfy the customer.

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Incorporating Variability in Lean Manufacturing: A Fuzzy Value Stream Mapping Approach

Cited by 8 publications

References 32 publications

Determination of Process Variability by Using Triangular Fuzzy Number to Minimize Production Lead Time in a Dynamic Value Stream Mapping

Determination of Process Variability by Using Triangular Fuzzy Number to Minimize Production Lead Time in a Dynamic Value Stream Mapping

Advances and hotspots analysis of value stream mapping using bibliometrics

A Novel Dynamic and Fuzzy Value Stream Mapping (DFVSM): System Dynamics and Fuzzy Logic Integration

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