Integration of Artificial Intelligence and Lean Sigma for Large-Field 
Production Optimization: Application to Kern River Field

Popa, Andreï; Ramos, Raúl; Cover, Andrew; Popa, Carrie

doi:10.2523/97247-ms

Cited by 2 publications

(2 citation statements)

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“…With regards to Six Sigma approach, created by Bill Smith at the Motorola Corporation in the 1980s, it seeks to reduce variability in order to reduce errors and defects by applying the DMAIC cycle (Maleyeff et al, 2012). Popa et al (2005) argue that Six Sigma is a highly disciplined process that helps organizations focus on delivering lower cost products with improved quality and reduced cycle time. The term "Sigma" represents a statistical measure that verifies the extent to which a given process deviates from perfection.…”

Section: Lean Production and Six Sigmamentioning

confidence: 99%

“…LSS is “a methodology that maximizes shareholder value by achieving the fastest rate or bringing improvements in customer satisfaction, cost, quality, process speed, and invested capital” (George, 2002; Muraliraj et al , 2018). Furthermore, it is a holistic methodology that is based on systems approach and considers the entire supply chain (Cauchick Miguel and Andrietta, 2010; Franchetti, 2015), which is used by organizations of international recognition to eliminate waste in processes and deliver products and services with extreme quality to their customers (Popa et al , 2005; Assarlind and Aaboen, 2014). LSS has expanded the seven original wastes from Ohno (1997) into nine: defects, overproduction, transport, waiting, inventory, movement, over processing, underutilized employees and behaviour (Voehl et al , 2010; Alkunsol et al , 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

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A lean six sigma framework for continuous and incremental improvement in the oil and gas sector

Nascimento

Quelhas

Caiado

et al. 2019

IJLSS

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Purpose This paper aims to explore synergies between lean production (LP) and six sigma principles to propose a lean six sigma (LSS) framework for continuous and incremental improvement in the oil and gas sector. The Three-dimensional LSS framework seeks to provide various combinations about the integration between LP principles, DMAIC (define–measure–analyse–improve–control) cycle and plan-do-check-act (PDCA) cycle to support operations management needs. Design/methodology/approach The research method is composed of two main steps: diagnosis of current problems and proposition of a conceptual framework that qualitatively integrates synergistic aspects of LP and six sigma and analysis of the application of the construct through semi-structured interviews with leaders from oil and gas companies to assess and validate the proposed framework. Findings As a result, a conceptual framework of LSS is developed contemplating the integration of LP and six sigma and providing a systemic and holistic approach to problem-solving through continuous and incremental improvement in the oil and gas sector. Originality/value This research is different from previous studies because it integrates LP principles, DMAIC and PDCA cycles into a unique framework that fulfils a specific need of oil and gas sector. It presents a customized LSS framework that guides wastes and cost reduction while enhancing quality and reducing process variability to elevate efficiency in operations management of this sector. This is an original research that presents new and original scientific findings.

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Section: Lean Production and Six Sigmamentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A lean six sigma framework for continuous and incremental improvement in the oil and gas sector

Nascimento

Quelhas

Caiado

et al. 2019

IJLSS

View full text Add to dashboard Cite

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Development of an integrated framework of LGSS strategies for Indian manufacturing firms to improve business performance: an empirical study

Gaikwad

Sunnapwar

2020

TQM

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PurposeThis article aims to explore synergies between Lean, Green and Six Sigma practices in order to propose an integrated LGSS framework for continuous and incremental improvement in the Indian manufacturing industries. The three-dimensional LGSS framework seeks to provide various combinations and support operational, financial, environmental and social needs.Design/methodology/approachIn the research method, first, the current problems faced by Indian manufacturing industries are considered and proposition of a conceptual framework that qualitatively integrates synergistic aspects of Lean, Green and Six Sigma practices, and second, the framework is checked by a survey taken from 203 Indian firms by using SPSS-AMOS.FindingsThe hypothesized result suggests that the positive impact of integrated practices on firm performance in terms of operational, financial, social and environmental outcomes. It also provides a systemic and holistic approach to problem-solving through constant and incremental enhancement in the manufacturing sector.Research limitations/implicationsIn this research, only Indian manufacturing industries have been studied but can be extending into different geographical areas and sectors. Future research is also possible for different behavior and characteristics of companies that can lead to recommending strategies on how companies can improve performance. Most importantly, future research can try to understand which specific practice can contribute to competitive advantage and business success.Practical implicationsManufacturing firms that want to improve environmental sustainability should implement integrated LGSS practices into their supply chain. The set of combined practices improves operational, social, economical and environmental benefits.Social implicationsThe research presents an integrated approach of LSS for the manufacturing industry which leads their business processes to achieve economic sustainability through continuous growth and improved operational efficiency. Manufacturing industries result in outcomes like reduced cost, lead time, improved quality, sustainable market position, profitability, customer satisfaction, etc.Originality/valueThis research is different from previous studies because it integrates Lean, Green and Six Sigma practices into a unique framework that fulfills a specific need of the Indian manufacturing sector that guides operational, social, environmental and financial issues in Indian industries.

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Integration of Artificial Intelligence and Lean Sigma for Large-Field Production Optimization: Application to Kern River Field

Cited by 2 publications

References 0 publications

A lean six sigma framework for continuous and incremental improvement in the oil and gas sector

A lean six sigma framework for continuous and incremental improvement in the oil and gas sector

Development of an integrated framework of LGSS strategies for Indian manufacturing firms to improve business performance: an empirical study

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