Summary of the positive effects of lean on financial performance measures
ROI | Sales | ROA | Profit | Bundle’s degree of importance | |
---|---|---|---|---|---|
JIT | 15 | 45 | 12 | 44 | 116 |
TQM | 10 | 38 | 10 | 28 | 86 |
TPM | 3 | 8 | 3 | 9 | 23 |
HRM | 3 | 11 | 3 | 7 | 24 |
Most impacted financial category | 31 | 102 | 28 | 88 |
Research questions to guide further research
Research questions |
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Lean practices and financial performance measures in the literature ( ) |
Lean implementation and financial performance over time ( ) |
Positive effects of lean practices on financial performance ( ) |
Other effects of lean practices on financial performance ( ) |
Articles included in the literature review
Author(s) | Publication year | Title | Methodology |
---|---|---|---|
Galeazzo | Degree of leanness and lean maturity: exploring the effects on financial performance | Survey | |
Negrão | Lean manufacturing and business performance: testing the S-curve theory | Survey | |
Sahoo | Lean manufacturing practices and performance: the role of social and technical factors | Survey | |
Shrafat and Ismail | Structural equation modeling of lean manufacturing practices in a developing country context | Survey | |
Galeazzo and Furlan | Lean bundles and configurations: a fsQCA approach | Survey | |
Ghobakhloo and Azar | Business excellence via advanced manufacturing technology and lean-agile manufacturing | Survey | |
Sahoo and Yadav | Lean production practices and bundles: a comparative analysis | Survey | |
Bevilacqua | Lean practices implementation and their relationships with operational responsiveness and company performance: an Italian study | Survey | |
Bevilacqua | Relationships between Italian companies' operational characteristics and business growth in high and low lean performers | Survey | |
Negrão | Lean practices and their effect on performance: a literature review | Literature review | |
Zhu and Lin | Does lean manufacturing improve firm value? | Research database | |
Nawanir | Lean manufacturing practices in Indonesian manufacturing firms: Are there business performance effects? | Survey | |
Chavez | Internal lean practices and performance: The role of technological turbulence | Survey | |
Fullerton | Lean manufacturing and firm performance: The incremental contribution of lean management accounting practices | Survey | |
Losonci and Demeter | Lean production and business performance: international empirical results | Research database | |
Nawanir | Impact of lean practices on operations performance and business performance: some evidence from Indonesian manufacturing companies | Survey | |
Bhasin | Performance of lean in large organisations | Survey | |
Hofer | The effect of lean production on financial performance: The mediating role of inventory leanness | Survey | |
Yang | Impact of lean manufacturing and environmental management on business performance: An empirical study of manufacturing firms | Research database | |
Forrester | Lean production, market share and value creation in the agricultural machinery sector in Brazil | Survey | |
Meade | Analysing the impact of the implementation of lean manufacturing strategies on profitability | Simulation | |
Fullerton and Wempe | Lean manufacturing, non-financial performance measures, and financial performance | Survey | |
Yusuf and Adeleye | A comparative study of lean and agile manufacturing with a related survey of current practices in the UK | Survey | |
Lewis | Lean production and sustainable competitive advantage | Case study |
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Bhasin , S. ( 2012 ), “ Performance of Lean in large organisations ”, Journal of Manufacturing Systems , The Society of Manufacturing Engineers , Vol. 31 No. 3 , pp. 349 - 357 .
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Eriksson , H. and Hansson , J. ( 2003 ), “ The impact of TQM on financial performance ”, Measuring Business Excellence , Emerald Group Publishing , Vol. 7 No. 1 , pp. 36 - 50 .
Fink , A. ( 2005 ), Conducting Research Literature Reviews: From the Internet to Paper , Sage publications , Thousand Oaks .
Forrester , P.L. , Soriano-Meier , H. and Garza-Reyes , J.A. ( 2010 ), “ Lean production, market share and value creation in the agricultural machinery sector in Brazil ”, Journal of Manufacturing Technology Management , Vol. 21 No. 7 , pp. 853 - 871 .
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Galeazzo , A. and Furlan , A. ( 2018 ), “ Lean bundles and configurations: a fsQCA approach ”, International Journal of Operations and Production Management , Emerald Publishing , Vol. 38 No. 2 , pp. 513 - 533 .
Ghobakhloo , M. and Azar , A. ( 2018 ), “ Business excellence via advanced manufacturing technology and lean-agile manufacturing ”, Journal of Manufacturing Technology Management , Emerald Publishing , Vol. 29 No. 1 , pp. 2 - 24 .
Hofer , C. , Eroglu , C. and Hofer , A.R. ( 2012 ), “ The effect of lean production on financial performance: the mediating role of inventory leanness ”, International Journal of Production Economics , Elsevier , Vol. 138 No. 2 , pp. 242 - 253 .
Inman , R.A. , Sale , R.S. , Green , K.W. Jr and Whitten , D. ( 2011 ), “ Agile manufacturing: relation to JIT, operational performance and firm performance ”, Journal of Operations Management , Elsevier , Vol. 29 No. 4 , pp. 343 - 355 .
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Sahoo , S. ( 2019 ), “ Lean manufacturing practices and performance: the role of social and technical factors ”, International Journal of Quality and Reliability Management , Emerald Publishing , Vol. 37 No. 5 , pp. 732 - 754 .
Sahoo , S. and Yadav , S. ( 2018 ), “ Lean production practices and bundles: a comparative analysis ”, International Journal of Lean Six Sigma , Emerald Publishing , Vol. 9 No. 3 , pp. 374 - 398 .
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This work was supported by the Veneto Region (Italy) [FSE/DGR n. 204-26/02/2019, Project code 6813-0001-204-2019].
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In the current scenario, smart scheduling has become an essential requirement to generate dynamic schedules, prescribe, and adjust scheduling plans in response to dynamic events such as machine failures, unpredictable demand, customer order cancellations, worker unavailability, and mass customization. Such scheduling techniques must also take advantage of intelligence continuously being built for next-generation manufacturing systems. This study presents a systematic literature review on smart scheduling, analysing 123 identified literature from 2010 to May 2024 using the PRISMA technique. The analysis includes scientometric and content analysis to identify paradigm shifts in development (concepts, methodologies, practices) along with their maturity levels, and provides recommendations for the next generation of smart scheduling. This study is significant for advancing knowledge and addressing current and future needs/requirements in smart scheduling. This would serve as a reference in understanding the maturity status of various developments, assist researchers and practitioners in identifying research gaps, and direct future advancements in the smart scheduling domain.
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This work is supported by CHANAKYA Fellowships of IITI DRISHTI CPS Foundation under the National Mission on Interdisciplinary Cyber Physical System (NM-ICPS) of Department of Science and Technology, Government of India.
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Shriprasad Chorghe, Rishi Kumar, Vibhor Pandhare & Bhupesh Kumar Lad
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Chorghe, S., Kumar, R., Kulkarni, M.S. et al. Smart scheduling for next generation manufacturing systems: a systematic literature review. J Intell Manuf (2024). https://doi.org/10.1007/s10845-024-02484-2
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