a systematic literature review to map literature focus of sustainable manufacturing

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Status of sustainable manufacturing practices: literature review and trends of triple bottom-line-based sustainability assessment methodologies

• Applied Economics of Energy and Environment in Sustainability
• Published: 29 July 2022
• Volume 30 , pages 43068–43095, ( 2023 )

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• Shamraiz Ahmad   ORCID: orcid.org/0000-0001-9701-6567 1 , 2 ,
• Kuan Yew Wong 3 &
• Shahid Ikramullah Butt 1  

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Due to significant requirement of energy, water, material, and other resources, the manufacturing industries significantly impact environmental, economic, and social dimensions of sustainability (triple bottom-line). In response, today’s research is focused on finding solution towards sustainable manufacturing. In this regard, sustainability assessment is an essential strategy. In the past, a variety of tools was developed to evaluate the environmental dimension. Because of this fact, previous review studies were grounded mostly on tools for green manufacturing. Unlike previous review articles, this study was aimed to review and analyze the emerging sustainability assessment methodologies (published from 2010 to 2020) for manufacturing while considering the triple bottom-line concept of sustainability. In this way, the paper presents a decade review on this topic, starting from 2010 as the guidelines for the social dimension became available in 2009. This paper has analyzed various methods and explored recent progress patterns. First, this study critically reviewed the methods and then analyzed their different integrating tools, sustainability dimensions, nature of indicators, difficulty levels, assessment boundaries, etc. The review showed that life cycle assessment and analytic hierarchy process–based approaches were most commonly used as integrating tools. Comparatively, still, environmental dimension was more commonly considered than economic and social dimensions by most of the reviewed methods. From indicators’ viewpoint, most of the studied tools were based on limited number of indicators, having no relative weights and validation from the experts. To overcome these challenges, future research directions were outlined to make these methods more inclusive and reliable. Along with putting more focus on economic and social dimensions, there is a need to employ weighted, validated, and applicable indicators in sustainability assessment methods for manufacturing.

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Ahmad, S., Wong, K.Y. & Butt, S.I. Status of sustainable manufacturing practices: literature review and trends of triple bottom-line-based sustainability assessment methodologies. Environ Sci Pollut Res 30 , 43068–43095 (2023). https://doi.org/10.1007/s11356-022-22172-z

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Received : 22 October 2021

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DOI : https://doi.org/10.1007/s11356-022-22172-z

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Benchmarking: An International Journal

ISSN : 1463-5771

Article publication date: 5 February 2024

Industry 5.0 (I5.0) is eventually set to supersede Industry 4.0 (I4.0), despite the fact that I4.0 continues to gain ground in emerging nations like India. Now India is aspiring to be a global manufacturing hub, and I5.0 offers enormous potential to position India as a forerunner in intelligent and collaborative manufacturing systems. Therefore, this research article aims to understand the relationship between I5.0 and sustainable manufacturing (SM) thoroughly; pinpoint its impact and implementation challenges; analyze its impact on Triple-Bottom-Line (TBL) sustainability; and present an inclusive framework for I5.0 implementation for Indian manufacturing enterprises.

Design/methodology/approach

The coexistence of two industrial revolutions raises questions, which necessitates debates and explanations. Thus, the systematic literature review (SLR) approach is used to address this issue and this study used Web of Science, Scopus, Science Direct and Google Scholar databases. Following a critical SLR, 82 research papers have been cited in this article, and the majority of cited articles were published from 2010 to 2022, to ensure a focused analysis of pertinent and recent scholarly contributions.

I4.0 is considered to be technology-driven, however, I5.0 is perceived to be value-driven. I5.0 is not a replacement or a chronological continuation of the I4.0 paradigm. The notion of I5.0 offers a distinct perspective and emphasizes the necessity of research on SM within the TBL sustainability boundaries. I5.0 introduces a new TBL: resilience in value creation, human well-being and sustainable society. Indeed, I5.0 seems to be economically, socially, and environmentally sustainable while manufacturing products with high productivity.

Practical implications

Theoretical implications pertain to restructuring business models and workforce transformation, whereas practical implications underscore the significance for manufacturing enterprises to embrace I5.0 for their sustainable development. By understanding the nuanced relationship between I5.0 and SM, enterprises can navigate implementation challenges, maximize TBL sustainability and embrace an inclusive I5.0 framework for high productivity and resilience.

Originality/value

The existing literature presents the general notion of I5.0 but lacks in-depth TBL sustainability analysis. This research used a systematic and rigorous SLR approach that evaluates the existing literature, enables an in-depth understanding, identifies research gaps and provides evidence-based recommendations for the decision-making process. Furthermore, this research aims to stand on an unbiased assessment, exploring theoretical and practical implications of I5.0 implementation for manufacturing enterprises and suggesting future research avenues.

• Industry 5.0
• Industry 4.0
• Triple-bottom-line
• Sustainability
• Sustainable manufacturing

Narkhede, G.B. , Pasi, B.N. , Rajhans, N. and Kulkarni, A. (2024), "Industry 5.0 and sustainable manufacturing: a systematic literature review", Benchmarking: An International Journal , Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/BIJ-03-2023-0196

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Towards smart sustainable development through value stream mapping – a systematic literature review

Amber batwara.

a Department of Mechanical-Mechatronics Engineering, The LNM Institute of Information Technology, Jaipur, Rajasthan, India

Vikram Sharma

Mohit makkar, antonio giallanza.

b Department of Engineering, University of Messina, Contrada di Dio, 98158, Messina, Italy

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Data will be made available on request.

Value Stream Mapping (VSM) is a standard Lean tool for identifying and reducing waste. It is used to create value and improve the performance of any industry. The value of the VSM has greatly expanded from conventional to smart over time; hence, researchers and practitioners in this sector are paying more emphasis. Comprehensive review research is needed to understand VSM-based smart, sustainable development from a triple-bottom-line perspective. The primary goal of this research is to look at various insights from the historical literature that can help with the adoption of smart, sustainable development through VSM. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) with a fifteen-year time range (2008–2022) is being considered to study various insights and gaps in value stream mapping. Analysis of the significant outcomes presents an eight-point study agenda: year, national context, research method, sector, wastes, VSM type, applied tools, and analysis indicators. The critical finding implies that empirical qualitative research dominates the research sector. Effective VSM implementation requires balancing the three sustainable dimensions of economic, environmental, and social through digitalization. The circular economy should also bolster research on the intersection of sustainability applications and new digital paradigms such as industry revolution 4.0.

1. Introduction

Lean manufacturing is a vital management subject that emphasizes cutting waste in production, managing reduced inventories, avoiding wasteful expenditure, and enhancing the overall business by cutting non-value-adding activities [ 1 ]. The idea of Lean Manufacturing came into existence at Toyota Production System in Japan 1980s. Lean tools support manufacturers and help them eliminate waste. Five steps can define lean application: identifying the value of the process, identifying the process value stream, focusing on process flow, configuring of pull factor & work towards process perfection [ 2 ]. There are several tools to achieve lean orientation, and famous examples include poka-yoke, standardized work, 5S, VSM, etc. [ 3 ].

Value Stream Mapping is essential among the various lean tools as it showcases an organization's current and future scenario. The application of value stream mapping is not only restricted to any single industry. It finds usage in Manufacturing [ 4 ], healthcare [ 5 ], the auto-ancillary industry [ 6 ], the textile industry [ 7 ], pharmaceutical company [ 8 ], the food industry [ 9 ], the telecommunications industry [ 10 ], Oil and gas industry [ 11 ], and so on. Concerning process ratio, TAKT time, process inventory level, overall lead time, and bottleneck time, VSM highlights the favorable effects. The suggested modification also contributed to greater customer satisfaction in terms of better quality, lower costs and on-time delivery [ 6 ]. According to Ref. [ 12 ], VSM is a useful, effective, and adaptable method for redesigning production systems with different flow lines. This is evident from the redesign outcomes and the implementation teams satisfaction. In a worldwide economic crisis, a company ability to adapt to changes in customer preferences, governmental rules, technology, and rivals in the marketplace determines whether it will survive and remain competitive.

Value stream mapping serves as a fundamental methodology for the assessment process and can uncover significant opportunities to enhance production speed, cost reduction, save time, and causes minimum degradation to the environment [ 13 ]. Now that the concept of integrating Lean with the Green narrative has found its place and importance in the industries, VSM comes as the handiest and most easily accessible lean tool that can be modified to include the criteria of green production. It is known as either Green VSM [ 14 ] or Sustainable VSM [ 15 , 16 ]. Various other models that aim at overcoming the shortcomings of traditional VSM that overlook the environmental impact of the processes are also coming up, namely, Energy-VSM, which looks at the energy aspect of the model and aims at saving energy as well as the cost associated with its consumption for the manufacturer [ 17 ]. In addition to using environmentally friendly raw materials and ecologically friendly product design, green manufacturing also comprises environmentally friendly product packaging, distribution, and disposal or reuse after the product's useful life [ 15 ]. Nowadays, industries seek agile, digitalized, and practical approaches to lean manufacturing. A digital twin-enabled VSM solution was presented by internet of things (IoT) technology [ 18 ]. design an agile system to sustain productivity benefits utilizing a methodology and value stream mapping in industry 4.0. Lean-based value stream mapping is a technique for enhancing productivity by reducing non-value-added processes. According to Ref. [ 19 ] “Industry 5.0” may look like and how it may make our industries more future-proof, resilient, sustainable, and human-cantered.

Based on a systematic approach, this study covers the literature published in reputed journals providing valuable information about the application of VSM in various industries. The contribution of the current research is emphasized in several subcategories as listed the article outlines described in section 1 and the prelude to the literature review included in Section 2 . The research methodology is in Section 3 , and the descriptive analysis is in Section 4 . Section 5 examines the present study significant findings, gap areas, future scope, and limitations are discussed to give context to the current research. Finally, the concluding remarks are represented in section 6 .

2. Prelude to literature review

Studying contemporary review articles is critical to analysing the literature better. A careful review of the literature identifies significant gaps and potential research directions.

2.1. Existing literature reviews on VSM

The examination of existing review papers reveals the work done in the field of VSM, and identified gaps justify the need for a follow-up study. The SCOPUS database was used to find reviews on available value stream mapping. The search yielded eight publications that attempted to provide a VSM review. These eight publications were thoroughly examined to assess the work done in the VSM field. Table 1 shows the results of previous VSM review studies.

Earlier review studies.

3. Methodology

3.1. prisma.

“A systematic literature review (SLR) is a strategy for locating, analysing, and summarising the body of finished and documented work created by researchers, scholars, and practitioners that is systematic, explicit, thorough, and reproducible” [ 27 ]. The SLR method permits an evidence-based approach to selecting, identifying, and analysing secondary data. SLR is different from other methods of writing a review because of its principles, i.e., inclusivity, transparency, heuristic, and explanatory nature. These leave room for an impartial overview of the search results and eliminate discrepancies or errors [ 28 ]. The current research uses the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)” method for analysing the quality of systematic reviews in VSM in a more comprehensive fashion, paying particular attention to the specific guidelines followed in this method, its use across a number of disciplines like tourism [ 29 ], and Agriculture [ 30 ], and many other fields.

In this study, a systematic literature review was done to map the development and application of VSM in various industries. Scopus's academic database searches relevant publications and is credited to be the largest multidisciplinary dataset of peer-reviewed scientific publications worldwide. For paper retrieval, three search criteria were created. Firstly, only scholarly journals were chosen for assessment to maintain quality, and papers from conferences, book reviews, and editorials were removed. Second, the search timeframe for publications was shortened to 2008–2022. This phase was chosen because it is when growth is most pronounced. Third, only consider articles written in the English language. PRISMA narrowed the search to gain a deeper comprehension of VSM-related research. The flow chart for PRISMA is shown in Table 1 .

We obtained our primary source materials reviewed for this study from Scopus and it was implemented using ‘keywords/title/abstract’. We constructed two search phrases (SP) for our preliminary source material search, and selection was used in the retrieval process. These keywords can be used to find pertinent word variations.

SP-1 (‘lean manufacturing’ OR ‘Value steam mapping’) AND (‘VSM’ OR ‘value stream management’ OR ‘value stream analysis’ OR ‘value stream process’) These keywords can be used to capture relevant variations of a word.

SP-2 (‘green VSM’ OR ‘sustainable VSM’ OR ‘digital VSM’ OR ‘quality VSM’ OR ‘energy VSM’)

Four research questions were developed to direct the search, selection, and inclusion of our primary source materials.

• 1) RQ1: What is the role of VSM in sustainable production growth?
• 2) RQ2: Classify and codify the various VSM metrics and analysis indicators under the triple bottom line (TBL) point of view.
• 3) RQ3: What lean, green, and digital tools and techniques can ensure comprehensive sustainability in industries despite the existing threats?

We adopted a two-pronged methodology approach in this study. First, we performed a systematic literature review (SLR) on the growth of digital-sustainable orientated VSM using the “Preferred Reporting Item for Systematic Reviews and Meta-Analysis (PRISMA)”. Next, we proposed a framework for implementing Smart-Sustainable VSM using our SLR.

3.2. Literature review selection criteria

A Categorization system was established to correctly classify and codify discovered articles after locating and screening the published studies on VSM. This classification system consists of eight key themes (National Context, Year, Research Method, Sectors, Wastes, Types of VSM, and Analysis indicators), numbered 1 through 8, following the established aims and leading investigations. Each eight main topic sub-categorized in different ways (see Fig. 1 ).

PRISMA flow chart.

Alphabetical letters (A, B, C, etc.) were used to code each sub-classification. Hence, this classification uses both numbers and letters. The frameworks are shown in Table 2 in this manner, classification 1 is related to the national context of the studies and is coded on a scale A and B. Classification 2 deals with the year and is categorized on a scale from A to C under a five-year time frame, where A represents (2008–2012), B (2013–2017), and C is the most recent year (2018–2022). Classification 3 is graded on a scale from A to E and pertains to the research methodology. Classification 4 is associated with the investigated sectors: Construction, Health, Manufacturing/Production, or other areas. Classification 5 identifies the types of waste reduced by the VSM implementation; this part is coded on a scale from A–J. Classification 6 relates to adopting various VSM approaches, including traditional and new ones, and is coded from A-G. Classification 7 explores the tools integrated with VSM implementation and new paradigms such as smart, sustainable manufacturing. This classification is coded on a scale from A-D. Classification 8 outlines the various analysis methods used to apply VSM under the triple-bottom-line principles of the economy, environment, and society (scale A-J). Fig. 2 depicts the frameworks evolution, performance, applicability, etc., as represented in Table 2 .

Selection criteria.

Selection Criteria for Literature review.

4. Detailed analysis

The descriptive analysis of the selected articles is presented in this section by classifying them into several groups (discussed in Table 2 ) and defining them in charts and tables for better graphical representation. For ease of comprehension, the categories outlined in the current paper are summarized as follows in Table 3 .

Summarized literature review.

4.1. Categorization based on the national context

This categorization depicts information about the countries represented by the authors of the selected studies. According to the content analysis, India is at the top of the list, with 91 articles (38.07%). This suggests that the research issue is significant for developing countries like India. Most multinational corporations (MNCs) focus on developing and undeveloped countries to deploy VSM to deliver supplies and information while efficiently reducing waste. As a result of the importance of sustainability principles in their supply chains, developing countries like India will have a major impact in the next few years. The United States is the second country on the list, with a contribution of 23 (9.6%). Other countries have evidence of VSM studies after the US, as shown in Fig. 3 . Based on the released report [ 108 ], the list of countries was further divided into two categories: developed countries and emerging countries. The classifications used to categorise the national contexts are A - “Developed Country” and B - “Developing Country”. According to this classification, developed countries account for 31.18% of publications while developing countries account for 68.8%.

Categorization based on the national context (Source - SCOPUS database).

4.2. Categorization based on year

The frequency analysis of the final sample (239 articles), based on the articles released year by year, is displayed in Fig. 4 . The trend indicates that research growth on VSM was low between 2008 and 2012 (14.64%). The articles were published on VSM at a moderate rate (39.33%) between 2013 and 2017. From 2018 to 2022, there has been a significant increase in the number of articles produced (46.02%). In the last ten years (2013–2022), research publications on VSM have increased dramatically, with 204 papers accounting for 85.35% of all articles published. These rising research papers demonstrate that academics and practitioners have recognized the importance of establishing sustainable practices to ensure a better future. This is because the value of steam mapping growing social and environmental concerns have put pressure on it to find a long-term solution. Nowadays, industries are moving away from traditional production techniques and toward more efficient lean and green procedures in response to increased customer demands for affordable quality products. Academics and practitioners stepped forward to address VSM for supply material and information's social, environmental, and economic concerns.

Distribution of the reviewed papers by year of publication (Source - SCOPUS database).

4.3. Categorization based on research method

The literature review is divided into two categories based on whether empirical research or desk research was used. The four types of empirical and desk research are empirical qualitative, empirical quantitative, desk qualitative, and desk quantitative. The type of research design reported in the examined publications is shown in Table 4 . The table also shows the percentage of each ingredient. The frequency of empirical qualitative with 70 articles (64.82%), Empirical quantitative with 4 articles (3.70%), desk qualitative with 19 articles (17.59%) and desk quantitative Empirical triangulation with 15 articles (13.89%). Case studies or interviews type research design are more common in VSM. As a result of the analysis, research in the VSM field is more likely to take a qualitative approach than a quantitative one. Quantitative research accounts for 17.59% of all papers assessed, while qualitative research accounts for 82.41%.

Categorization based on research method.

4.4. Categorization based on sector

The research in VSM has considered a variety of sectors. Because sustainable practices vital for one industry may not be as significant for another, classifying and evaluating the study by industrial sector will better bring out the applicability of VSM research sector by sector. Fig. 5 summarises the industry in which our sample concentrated in the field of VSM. The manufacturing/production sector consumes a significant number of non-renewable resources and generates waste, raising concerns about the sector's ability to respond to sustainability issues. Most articles reporting VSM concepts focus on the manufacturing industry, with 174 articles (35.3%). It is suggested that the application of sustainability concepts by manufacturing businesses is related to two factors. Traditionally, it has focused on production and manufacturing issues; and historically, environmental rules have focused on manufacturing plants. By examining the cases presented in the selected literature, the current study aimed to determine the level of sustainability adoption in various manufacturing businesses. The second most important sector is Business, Management, and Accounting, contributing 118 articles (23.1%).

Categorization based on sector (Source - SCOPUS database).

4.5. Categorization based on waste

The Toyota production system has defined seven types of Muda (waste) generally: overproduction, waiting, transportation, motion, over-processing, inventory, and defect. Adaptation of the ‘seven wastes’ to the clinical setting of interventional radiology by Ref. [ 100 ]. Human Potential is also the new type of waste coming from the philosophy of Toyota's production. The content analysis of the selected articles reveals that mostly seven types of waste generally focused on traditional VSM. Still, VSM can be used to identify waste in maintaining information management procedures through mapping and quantifying different kinds of information waste [ 48 ].

4.6. Categorization based on types of VSM

To explore knowledge of various types of VSM, the selected articles were categorized based on Traditional VSM, Green VSM, Energy VSM, Quality VSM, Sustainable VSM, and Digital VSM. The applications have undergone extraordinary numbers of changes, from the ‘traditional VSM’, which is employed to improve organizational performance, to the environmentally related aspects, known as ‘Green VSM’ [ 14 ], ‘Energy VSM’ [ 17 ], ‘Environmental VSM’. The content analysis depicts (79.56%) researchers using mostly traditional VSM while another VSM has less consideration. The current categorization highlights the considered smart, and sustainable dimensions are chosen to emphasize the focus on distinct forms of VSM. Table 5 displays recent developments in VSM growth strategies (see Table 6 ).

Categorization based on types of VSM.

Categorization based on tools applied.

4.7. Categorization based on tools applied

Various tools and techniques used to eliminate waste and improve the process in VSM are classified into four categories: lean tool, green tool, digital tool, and others related to management. In lean techniques, takt time, single-minute exchange of die, poka-yoke, total productive maintenance, kanban pull system, 5S, and kaizen, are the most popular techniques that have been employed. The mixed approaches entailing lean tools with other green tools such as Life Cycle Analysis (LCA), life cycle cost analysis (LCCA) [ 104 ], Lean Six Sigma (LSS), Quality function deployment (QFD) [ 49 ] and other green approaches have been used to identify environmental issues in the production process. Lean tools (86 articles) are most used compared to mixed integer lean and green tools (12 articles) in value stream approaches. The application of digital tools in the reviewed papers has been reported in 6 papers. Digital tools have been introduced to support the Industry 4.0 concept, such as RFID [ 23 ] and virtual reality [ 74 ], to support waste identification and elimination in a dynamic environment. The successful implementation of VSM may require management assistance, including early involvement and training.

4.8. Categorization based on analysis indicators

This categorization aims to create awareness about the analysis indicators, which actively use in current & future state mapping. The following scale is employed for analysis indicators A-value-added time (VAT), B- material consumption, C- energy consumption, D- Steam flow, E−carbon emission, F- GHG emission, G-cost analysis, H- employee satisfaction assessment, I- digitization rate, J-others. According to the analysis, the VAT used 87.17%, 6.41% material consumption, 8.97% Energy consumption, 2.56% Carbon emission, 2.56% GHG emission, 6.41% cost analysis, and few amount to employee satisfaction and digitization rate. It can be helpful in the indicators selection process and its implementation in any industry.

5. Outcomes of study

Significant findings and discussion are presented with potential future research directions to highlight the present study contribution.

5.1. Significant findings and discussion

This section describes the major significant conclusions drawn from the descriptive analysis of the chosen literature. Analysing the data makes it possible to identify the literature's advantages and disadvantages, which opens the possibility of conducting VSM-related research that is smart and sustainability-oriented. It also discusses the potential causes of the outcomes that were found. A comparison of the discovered study results with the body of literature already in existence has also been made. The current part also discusses numerous issues that need to be resolved for better knowledge of VSM and upcoming chances. The following noteworthy results, along with a discussion of them, have been highlighted in this section:

• ➢ The state of a country's context most likely influences the application of lean tools and the ensuing effects on sustainability performance. Therefore, it is essential to identify scenarios for additional research on how the lean approach might improve sustainability. The current analysis showed that VSM had been used more in developing countries (68.8%) than in developed countries (31.18%). Many multinational corporations (MNCs) have recently expanded their operations or sourced raw materials from emerging nations. By working with developed countries in this situation, developing nations can significantly contribute to the penetration of VSM. This scenario supports the importance and applicability of VSM for developing nations like Malaysia, China, and India. The ranking of developing countries like India, Malaysia, and China ( Fig. 3 ) is particularly intriguing and inspiring because India comes in first after the two developed nations, followed by Malaysia and China in that order, respectively. By providing financial support and a precise path for developing countries to implement VSM, cooperation with wealthier nations can help to improve the process. The government of India's “Make in India” campaign may inspire businesses in developed countries to support this endeavour.
• ➢ According to the category of selected papers based on the year of publication ( Fig. 4 ), the number of publications throughout the previous ten years (2012–2021) has shown an upward tendency. Every year, a significant number of papers show that scholars and practitioners are becoming more interested in adopting VSM. One of the leading causes of the increase in interest may be the strict government laws and regulations that prevent businesses from using conventional techniques. As people become more aware of sustainable practices, they realize how important it is to include social and environmental concerns in business plans to minimize or completely eradicate their adverse effects on society and the environment.
• ➢ The bulk of research reported in the literature is qualitative (82.4%), mainly to the use of two qualitative research designs, namely the desk qualitative research design (18.2%) and the empirical qualitative (64.2%). This suggests that the contributors primary areas of interest were the conceptual model, theoretical ideas, desk-based qualitative research inquiry, and case studies or interview-based research (empirical qualitative). The difficulty in gathering secondary data may be the reason for the increased acceptance of case studies or interview-based research. When doing survey-based research, the acquired data must be validated and subjected to reliability testing; otherwise, the investigation would be useless or ineffective at uncovering relevant insights. The least adopted research design is empirical quantitative and Empirical desk triangulation with (3.2%) of articles which indicates that the authors have not utilized the quantitative method.
• ➢ Most articles (35.5%) are published in the manufacturing/production sector of the chosen literature. The increased demand for automobiles, pressure from non-governmental organizations (NGOs) for green products, and stringent governmental regulations may all be factors in the manufacturing industry's decision to adopt VSM to the greatest extent possible, particularly in the automobile sector. VSM research is not limited to manufacturing but is also broad in scope business management and accounting with 23.1% and low applications in decision science (12.2%), computer science (13.6%), environmental science (3.9%), Social science (2.3%), energy, and other fields. Some examples of applications of VSM like the textile industry [ 7 , 37 ], pharmaceutical companies [ 56 ], and Food industries [ 9 ], telecommunications industry [ 10 ]. Now a time, the application of value stream mapping (VSM)extends to the supply chain of an e-commerce retailer on Amazon [ 32 ] and is used in also education system [ 39 ].
• ➢ VSM helps locate waste or operational inefficiencies across the board in a mapped process. Current and future state mapping are the two types of mapping of VSM. All of the value-added and non-value-added activities engaged in a sequence of actions that make up a process are described in the present state VSM. After some detected wastes have been eliminated or minimized, the future state is designed [ 72 ]. The Waste Identification Diagram (WID) is a brand-new, highly-promising visual representational tool for manufacturing units, particularly in trash identification and quantification [ 73 ]. People from academia and industry evaluated the tool both quantitatively and qualitatively.
• ➢ Since evaluators have different knowledge and skills, applying subjective human judgment to lean procedures creates ambiguity and bias. To address this weakness, present the fuzzy VSM [ 54 , 75 ]. Fuzzy numbers are used to simulate the ambiguity of subjective human judgment on the level of application of lean practices, together with a further factor connected to the duration of the implementation of lean practices and the use of multi-evaluators. Benchmarking is not essential because value stream mapping is utilized to evaluate the level of lean performance [ 114 ].
• ➢ Value stream mapping (VSM) is often static and skill-reliant. It is the most harmful component of VSM's static behaviour. The Industrial Internet of Things (IIoT) enables the conversion of the VSM into a dynamic model, boosting many additional factors measured concurrently in real-time, and increasing the visibility of the cause-and-effect relationship. The factory execution system real-time data can be combined with geodata acquired by an RFID system to display the current value stream forever and identify bottlenecks and potential enhancements. VSM would transform in this fashion from a static tool to a dynamic one [ 74 ]. RFID allows for quick data collection and accurate, line-of-sight-free object identification. So it can be used to identify, find, track, and keep an eye on actual objects. The term “dynamic value stream mapping” (DVSM) refers to this system, which is a real-time computer-based VSM [ 45 ]. The real-time manufacturing cost tracking system (RT-MCT), one of DVSM's lean-based modules, can track the development or accumulation of actual product costs during the flow of products along a value stream [ 115 ]. Additionally, VSM lacks any cost analysis or cost tracking mechanisms. The typical static VSM can be changed into a dynamic VSM using computer-based simulations to increase managers analytical decision-making capacity [ 42 ].
• ➢ Value stream mapping has traditionally considered the relationship between the amount of time spent on a process and the amount of time that adds value [ 97 ]. This would reveal the steps that would take too long without offering anything in the way of value. This timeline would provide a visual comparison between the two, but it ignored the resources used or trash produced during the process. Bringing harmony between the three sustainable dimensions of economic, environmental, and social with digitalization is crucial for implementing VSM to be effective. Some essential aspects related to smart, sustainable dimensions were highly ignored. Here are some vital suggestions for the analysis metrics for SS-VSM.
• • Consumption and responsibility are two aspects of the environment. Material lines can be formed for any resource under consumption (like energy, water, exhaustible resources, raw materials, etc.). Additionally, the accountability area criteria include wasteful energy use, hazardous gas emissions, effects on global warming, ozone depletion, ecotoxicity, and carbon emissions [ 14 , 83 ].
• • In standard VSM, the time spent on different processes is mapped without keeping track of the growth in direct and indirect costs. This methodology divides the economic pillar into cost management and operational efficiency. Cost of energy use, inventory needed to maintain production while setup is taking place, cost of inventory waste, and cost of operator waste during setup time [ 40 ].
• • In the social pillar, employee happiness and human resources are the two key components. The significant factors for measuring staff satisfaction in this area revolve around absenteeism, teamwork, and motivation finally, the skillful operator in human resources [ 58 ].
• • The I4.0 methodology sums up these digital solutions. Its foundation is the digitalization of production with a focus on Internet technology, automation, and close integration of clients in a networked production web. This digital analysis line includes the digitization rate, process key performance characteristic detection and digital information flow [ 84 ].
• ➢ A combination of lean, green, and digital tools and techniques is essential for the quick overall growth of industries. It can take advantage of these synergies and invest in Industry 4.0 technologies that enable cutting-edge digital production methods. This strategy employs resource optimization, innovation, internationalization, and flexible manufacturing to sustain competitiveness in the global markets [ 116 ].

As a result, another aspect of this study's is creating a set of indicators for using smart, sustainability-focused VSM. The concrete indicators (metrics) in this set of smart indicators have been successfully used in recent studies. It can help choose the indicators and put them into practice because many references can be used well.

5.2. Future research direction

Future study directions have been highlighted based on the findings and discussion of the current review.

• • Globalization demand has prompted industries to adopt eco-friendly data-connected lean manufacturing technology and optimize their information and supply chain flow. The country obtains resources from around the world, making the procedure more environmentally friendly. Since MNCs are investing in expanding their companies in emerging nations, such nations must start and strengthen the adoption of VSM. Following developing countries like India and China, with promising results from VSM research, further in depth studies can be launched in those nations.
• • Since the focus of most of the study has been primarily on environmental and economic issues, the societal components have largely been neglected. Lean manufacturing does not consider the effects of process modifications on the workforce. The impact of the strict application of lean manufacturing is not felt, nor are ergonomic risks the initiative to encourage researchers and practitioners to adopt different social aspects of VSM. The performance of societal sustainability in manufacturing should be considered in future studies.
• • Future research is also required to assess VSM applicability to diverse industrial sectors. Future studies using the simulation platform can investigate the integration of artificial intelligence techniques and machine learning models to process input data for the simulation model or to depict the behaviour of Industry 4.0 components in the simulated system. The appropriate approach is used to protect the privacy and security of the network and data.
• • To consistently raise quality, promptly satisfy client requests, and boost competitiveness, procurement management will play a vital role entire value stream process. However, it is uncommon to find a study that examines how to improve procurement management operations from the standpoint of value flow. Additional analysis in multi-angle or multi-case studies is required to provide better procurement management.

5.3. Limitations of the current study

• • The SCOPUS database is the only one used for the literature search in this study. Even though SCOPUS has a sizable number of publications, the current research does not include all pertinent articles available outside the SCOPUS database. By expanding the sample size of the articles and considering papers from various databases, a future study that is more thorough can be conducted.
• • Since only English language papers were included in this study, VSM-related literature written in other languages was not considered when concluding decisions. The study findings and conclusion could change if articles in other languages were considered.

6. Conclusion

Over the past ten years, value stream mapping research has exploded. This study conducts a thorough literature evaluation of 117 articles published on VSM in the previous 1.5 decades to advance understanding in the research field. It is possible to list and analyse fruitful discoveries by categorizing the chosen articles for assessment along various aspects and the table content. The current study has shown how the VSM approach has strengthened over the last 15 years. The purpose of this paper is to provide a framework for SS-VSM applications that is focused on sustainability. This application has attracted significant attention from practitioners and academics and is slowly being adopted to evaluate sustainability performance. This review can significantly contribute to the body of current information because there is a lack of study on the integration and systematization of the actual knowledge on smart sustainable VSM. The following are the effects of the conclusions:

• • Academic implications – Developing the Value stream approach in new and better ways by synthesizing the literature under the triple bottom line with a digitalization perspective. Several performances and analysis metrics have been proposed for traditional and smart sustainable VSM. The findings of this review have broader implications concerning the efforts employed to improve the visibility of the entire value stream and adequate sharing of information in the context of digitalization and further engage the application in new paradigms like circular economy & Industry 4.0.
• • Practical implications – Putting up a set of various indicators that have not previously been examined in the literature. The tangible indicators (metrics) included in this set of smart sustainability indicators have been successfully used in state of the art investigations. The analysis covers the complete information on the growth of VSM over time, including metrics of the current state map, improvement technique for future state map, and finally, suggests critical elements & enabling techniques for SS-VSM implementation. This review offers innovative insights for future scientific research to extend the application of smart, sustainable VSM in different sectors. It might aid practitioners in better comprehending the method used to choose the indicators when putting smart sustainability focused VSM into practice. Additionally, this page contains many references that can be used effectively.

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All authors listed have significantly contributed to the development and the writing of this article.

Data availability statement

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