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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.

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.

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.

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.

The aim of the study is to develop and apply a continuous improvement (CI) framework by introducing environmental considerations into the Six Sigma DMAIC (define–measure–analyze–improve–control) cycle for a continuous identification, evaluation and implementation of promising opportunities of enhancing environmental sustainability of process-based industries.

Action research approach within the research design of a single case study was used for illustrating the application of the proposed DMAIC framework for improving operational and environmental performance in the process-industry environment of a pharmaceutical manufacturing company.

The case study illustrated the implementation of DMAIC cycle for optimizing the energy consumption of pharmaceutical plants producing bulk drugs for medication. After improving the energy distribution in the cooling tower (CTW), chilled brine (CHB) and chilled water (CHW) system, the pharmaceutical plant was able to achieve an annual economic benefit of US$97,047 and environmental benefits of mitigating CO₂ emissions of 807.44 t (CO₂) by reducing the electricity and furnace oil consumption.

The framework may be adopted for environmental considerations specific to process-based industry such as chemical plant, fertilizer units, thermal power plant and food processing industry.

The paper presents a process of development of the capacity of resources used in the improvement of an organization. The purpose of this paper is to determine the conditions in which the development of the improvement capacity is sustainable.

As the basis for the study, the following prerequisites have been adopted: potential effects of the use of resources in a process can be expressed by their capacity, which involves the productivity and volume of the resources; a model of sustainability of improvement is based on the procedure ABC and principle of continuous improvement; an improvement process involves two components: subject matter (eliminating problems) and methodical (learning how to eliminate problems during the execution of subject matter tasks) projects; the methodology of Six Sigma can be a reference model, which is studied to identify and interpret elements and relationships that are characteristic for the process of sustainable development.

There have been formulated a model of the process of developing the improvement capacity in which the subject matter and methodical tasks are coupled, a model of the Six Sigma process that refers to the features of the process of development of the improvement capacity and three principles for sustainable development of improvement capacity.

The principles refer to decisions on the improvement process made at basic (strategic, tactical and operational) levels of an organization.

The overarching objective of this research is to integrate the Lean Six Sigma (LSS) framework with computer simulation to improve the production efficiency of a light-emitting diode (LED) manufacturing factory.

Recently, the idea of taking advantage of the benefits of Six Sigma and simulation models together has led both industry and the academy towards further investigation and implementation of these methodologies. From this perspective, the present research will illustrate the effectiveness of using LSS methodology in a real factory environment by using the combination of three simulation methods which are system dynamics (SD), discrete-event simulation (DES) and agent-based (AB) modelling.

The hybrid simulation method applied in this research was found to accurately mimic and model the existing real factory environment. The define, measure, analyse, control and improve (DMAIC)-based improvements showed that the applied method is able to improve machine utilization rates while balancing the workload. Moreover, queue lengths for several stations were shortened, and the average processing time was decreased by around 50%. Also, a weekly production increase of 25% was achieved while lowering the cost per unit by around 8%.

While the case study used was for a LED manufacturing system, the proposed framework could be implemented for any other existing production system. The research also meticulously presents the steps carried out for the development of the multi-method simulation model to allow readers to replicate the model and tailor it for their own case studies and projects. The hybrid model enables managers to navigate the trade-off decisions they often face when choosing advanced production output ahead of continuous improvement practices. The adoption of methodologies outlined in this paper would attain improvements in terms of queue lengths, utilization, reduced costs and improved quality and efficiency of a real, small factory. The findings suggest improvements and create awareness among practitioners for the utilization of quality tools that will provide direct benefits to their companies. Although the multi-method simulation is effective, a limitation of the current study is the lack of micro details within each station. Furthermore, the results are all based on one specific case study which is not enough to suggest and generalized findings.

This research combines the use of the three main hybrid simulation paradigms (SD, DES and AB) in a unified framework DMAIC methodology. Choosing the right models in DMAIC is important, challenging and urgently necessary. Also, this paper shows empirical evidence on its effectiveness.

Unsatisfactory level of construction materials quality has been a persistent problem for companies in construction. This study aims to describe the application of the Six Sigma methodology for improving the tensile strength in a Chinese reinforcement material manufacturing company.

Six Sigma-based framework of define-measure-analyse-improve-control (DMAIC) methodology is adopted in this case study. During different stages, quality problems and critical factors are identified to improve the low performance of tensile strength and thixotropy of the impregnating resin.

The results provide solid evidence that how Six Sigma can be successfully applied in reinforcement material manufacturing. Results showed that vacuum degree, reaction temperature and stirring rate are significant factors on tensile strength. Control plans for continuous improvements are suggested and implemented. Our study found that managerial assurance activities such as verification were less developed than equipment-related control activities. Besides, data management required further elaboration on integrated data and information systematically, thereby to enable the company to make informed decisions and to support continuous improvement.

This study contributes to show a potential area in which Six Sigma DMAIC approach can promote to improve the tensile strength of impregnating resin. This case can prompt managers of the company to apply Six Sigma method to address complicated problems in other reinforcement material processes. Companies of construction and their suppliers can refer to this study when improving their manufacturing process.

The purpose of this paper is to discuss the lean six sigma implementation process and its quantified benefits for the recycling industry. Specifically, the goals of the project were to improve the processes and increase capacity for a government operated material recovery facility (MRF) in Toledo, Ohio, USA.

The six sigma DMAIC methodology was utilized for this study. This included aligning and optimizing processes and the removal of process‐generated defects and errors.

After comparison of the current and future states of the MRF, it is found that by reducing non‐value added activities, productivity was increased by 7.3 percent for paper bales, 12.8 percent for commingled bales and 1.6 percent for old corrugated container (OCC) bales. The project generated over $65,000 in annual savings for the facility.

The findings are limited due to the focused nature of the case study and further cost‐benefit analysis can be carried out.

This paper may be useful to researchers and practitioners for understanding lean six sigma implementations and its derived benefits for the recycling industry and government operated processing facilities.

The paper is a real case study showing lean six sigma implementation and its benefits for the recycling industry; a field that has not been explored to a high degree.

The purpose of this paper is to create a strategy for “Best Buy”, a major consumer electronics and appliance retailer in the USA, to improve their service system to ensure that they can continuously gain market share. This study will examine and analyze Best Buy's store service blueprint in comparison to its competitors' service blueprints. The study will then examine Best Buy Geek Squad's service blueprint and recommend improvements that can be implemented to provide higher quality service to Best Buy's customers.

A combination of design methods was used which included creating multiple service blueprints and implementing the Six Sigma DMAIC approach. A Service Quality (SERVQUAL) Survey was conducted and analyzed the data, to give an understanding of customer satisfaction with the service provided at Best Buy, compared to its major competitors. The service blueprint was analyzed and strategies were recommended to improve the present system, with the goal of providing better customer service and an improved shopping experience. With the recommendations an “improved service model” for Best Buy was created, along with fail safe mechanisms to ensure that service guarantees will be met.

In the Six Sigma DMAIC Process Improvement approach, poka‐yokes were implemented to improve the Best Buy service blueprint, which were identified through cause‐and‐effect diagrams that were created. By implementing the new service blueprint, along with the poka‐yokes, Best Buy will see a significant improvement in customer satisfaction.

Best Buy and other retail service providers should consider investing in adequate staffing of technically savvy and customer sensitive store associates and implement customer service training programs to improve their education relating specifically to the quality of service delivery to their customers.

This paper focuses on the business case for implementing Six Sigma tools to improve the service provided by retailers. This should lead to long‐term profitability and improved customer service.

The purpose of this paper is to propose the development and adoption of a Lean Six Sigma Framework (LSSF) that attempts to create a more balanced and integrated approach between Lean and Six Sigma and one that is capable of achieving improved efficacy of curriculum and programme development in a higher education environment. The implementation of the LSSF is new to the higher education sector.

Using the standard DMAIC cycle as the key driver in the implementation process, most in-depth Lean Six Sigma (LSS) case studies have focussed on manufacturing and engineering-based problems and solutions. This case study offers a detailed analysis of the design and implementation of an integrated LSSF within higher education and focusses primarily on the curriculum design and delivery of a new undergraduate engineering programme in a subject university. As such, this offers a unique perspective of LSS implementation in Higher Education Institutions (HEIs) which drives systems improvements in to the heart of the teaching and learning process.

The design, development and subsequent application of the LSSF enabled the curriculum development team to comprehensively apply LSS in to a subject institution. The Shainin Key Variables Search Technique (KVST) more specifically enabled the team to prioritise the key variables by way of order of importance and, this allowed the team to apply the most appropriate tools and techniques at the key points within the LSSF in order to obtain maximum performance.

Whilst this work provides key information on how LSS initiatives are implemented across different institution types, the work has only focussed at a very small sample of HEIs and the case study only being applied to one institution. The work will need to be extended much more widely to incorporate a larger set of HEIs (both research and teaching focussed) in order to provide a more complete map of LSS development in HEIs.

The aim of the paper is to provide LSS project leaders in HEIs with a coherent and balanced LSSF in an attempt to assist them in implementing comprehensive LSS programmes thus maximising the improvements in efficiency and operational performance of departments within HEIs.

This paper is the first of its kind to study the application of Shainin’s KVST in the implementation of LSS programmes in HEIs. The key features highlighted in this work raise important issues regarding the need and importance of developing a balanced LSSF for HEI project implementation.

The best treatment for femur fractures is the surgical one within 48 h from the admission to the hospital. These fractures have serious consequences, both in terms of morbidity and socio-economic impact. In the hospital A.O.R.N. Cardarelli of Naples in Italy, the mean pre-operative length of hospital stay (LOS) was nine days and just 4 per cent of patients was operated within the suggested time. Therefore, a diagnostic-therapeutic-assistance path (DTAP) was implemented to improve the process.

This paper analyzes two groups of patients (534 and 562, respectively) before and after the introduction of DTAP, through six sigma (SS) based on define, measure, analyze, improve and control cycle. Age, gender, American Society of Anaesthesiologists (ASA) score, cardiovascular diseases, diabetes and allergies were used as independent subgrouping variables. The t-tests and chi-square were performed to compare the groups, tools of SS were used.

The analyses were conducted considering overall patients and some subgroups. The overall reduction in LOS was about 54 per cent, patients without cardiovascular diseases and with a low ASA score had the highest reduction, more than 60 per cent. All the p-values proved a high statistically significant difference between the two groups.

The influence of the Italian health-care system is a minor limitation while, unfortunately, the lack of a follow-up did not allow quantifying the real gain in health of patients. A lean thinking analysis would suit this context.

There are practical advantages for both hospital and patients: the hospital will have an increase in admissions and more beds available, while patients will benefit of a faster intervention and a shorter wait.

This is the first analysis through SS of DTAP showing its positive influences in terms of both socio-economic impact and patients’ outcome. Policy leaders could use this study as an example to evaluate the introduction of the same clinical pathway in other health facilities.

This article addresses how an organization can combine sig‐sigma and the Internet to reduce costs, improve the delivery success rate, and increase service quality. The model that was developed to map the six‐sigma quality process against the software development life cycle was introduced. A case study in which the model was applied is discussed: use of the model enabled the IT organization to infuse six‐sigma into the Internet development effort and gave the rest of the company an understanding of the necessary steps for that attempt to be successful. Total commitment is necessary to carry this process out; hoever, this commitment allows organizations as a whole to “get it right the first time around”, while satisfying client and business requirements.