Lean Six Sigma

About: Lean Six Sigma is a research topic. Over the lifetime, 1919 publications have been published within this topic receiving 29142 citations.

A hybrid model for ranking critical successful factors of Lean Six Sigma in the oil and gas industry

Abstract: PurposeThe aim of this paper is to find and prioritise multiple critical success factors (CSFs) for the implementation of LSS in the oil and gas industry.Design/methodology/approachBased on a preselected list of possible CFSs, experts are involved in screening them with the Delphi method. As a result, 22 customised CSFs are selected. To prioritise these CSFs, the step-wise weight assessment ratio analysis (SWARA) method is applied to find weights corresponding to the decision-making preferences. Since the regular permutation-based weight assessment can be classified as NP-hard, the problem is solved by a metaheuristic method. For this purpose, a genetic algorithm (GA) is used.FindingsThe resulting prioritisation of CSFs helps companies find out which factors have a high priority in order to focus on them. The less important factors can be neglected and thus do not require limited resources.Research limitations/implicationsOnly a specific set of methods have been considered.Practical implicationsThe resulting prioritisation of CSFs helps companies find out which factors have a high priority in order to focus on them.Social implicationsThe methodology supports respective evaluations in general.Originality/valueThe paper contributes to the very limited research on the implementation of LSS in the oil and gas industry, and, in addition, it suggests the usage of SWARA, a permutation method and a GA, which have not yet been researched, for the prioritisation of CSFs of LSS.

Crashing the schedule in DCS validation pharmaceutical projects with lean six sigma and project management techniques : Case study and discussion

Abstract: In this article, we examine how to successfully apply project management practices and Lean Six Sigma techniques in a pharmaceutical automation environment to a schedule crash. The article consists of two sections, starting with a case study that describes a successful schedule crash and followed by a brief discussion of baseline and complementary resources required for successful automation compliance and schedule crashing. Download \"?“Crashing the Schedule” in DCS Validation Pharmaceutical Projects with Lean Six Sigma and Project Management Techniques: Case Study and Discussion\

Lean Six Sigma in smart factories based on Industry 4.0

Abstract: The purpose of this article is to present the preliminary results from ongoing research on Lean Six Sigma in Industry 4.0 based on a novel and comprehensive approach. It shows that Lean Six Sigma and Industry 4.0 mutually support each other. To develop a deeper and more dynamic mutual support, updates on Lean Six Sigma based on 3 critical principles are suggested. It provides a number of sound perspectives on improvement to the Lean Six Sigma methodology to develop an intelligent, sophisticated, integrated and efficient approach for continuous improvement within smart factories. The findings assist in tackling chronic problems and new challenges in Manufacturing such as Energy Management. The suggested principles leverage Industry 4.0 capabilities for humans in the world of robots.

Shop Floor Productivity Enhancement Using a Modified Lean Manufacturing Approach

Abstract: Constantly improvement in shop floor management has become a necessity in today’s worldwide industries. Various approaches are used to fulfill this requirement, mainly including lean manufacturing, kaizen, total quality management, six sigma, and lean six sigma approaches. These approaches are used to improve shop floor management and optimization of resources in the present industrial environment. In the present article, the authors developed a modified lean manufacturing approach to enhance the shop floor productivity through optimization. The purpose of this research article is to suggest an approach to improving and optimizing production on the shop floor by research work have done in the area of the lean manufacturing approach. The authors of the current research work strongly believe that the present research method will be more profitable for young researchers and industry people to improve production on the shop floor.

Improving pilot project application and review processes: A novel application of lean six sigma in translational science.

Abstract: Each year our Clinical and Translational Science Award pilot projects program awards approximately $500,000 in translational pilot funding to advance health in South Texas. We identified needs to improve the timeliness, transparency, and efficiency of the review process by surveying applicants. Lean six sigma methodologies, following a "Define, Measure, Analyze, Improve, Control" approach, were used to streamline the pilot project application and review by identifying and removing bottlenecks from process flows. We evaluated the impact of our reorganized review process by surveying applicants and reviewers. Process mapping identified pilot project review as the main source of delay, leading to the implementation of a study section-style review mechanism. After one cycle, 90.3% of pilot applicants and 100% of reviewers were highly satisfied with the new processes and time to award notice was reduced by 2 months. All reviewers familiar with both review processes preferred the study section. We demonstrated how lean six sigma, a methodology not commonly applied in research administration, can be used to evaluate processes in translational science in academic health centers. Through our efforts, we were able to improve timeliness, transparency, and efficiency of the review process.