Lean product development flow

Lean Thinking is the paradigm that enabled Toyota to rise to the best and largest auto company in the world. The paradigm includes not only Lean manufacturing but also extraordinary effective Product Development and Systems Engineering, as well as a culture based on Respect for People.Systems Engineering is regarded as a technically sound process but often burdened with waste and inefficiencies. Lean Systems Engineering is a new body of knowledge applying the wisdom of Lean Thinking to Systems Engineering. Systems Engineering and Lean have overlaps and differences, but both represent processes that evolved over time with the common goal of delivering product or system lifecycle value to the customer. Lean Systems Engineering represents synergy of the two, leading to superior systems engineering process.Most emphatically, Lean Systems Engineering is not a re‐packaged FBC or Acquisition Reform“. Lean Systems Engineering does not mean ”less Systems Engineering”; it means more and better Systems Engineering, with better preparations, planning, front‐loading, training, and more common sense, leading to better program execution.Lean Enablers for Systems Engineering is a product designed by 14 experts from industry, academia, and U.S. and foreign governments, supported by 115+ strong Lean Systems Engineering Working Group of INCOSE. Lean Enablers are formulated as 194 “do's” and “don'ts” of Systems Engineering practice focused on Mission Assurance/Product Success and elimination of waste.The workshop will cover three parts: Description of the development process of Lean Enablers for SE Presentation of 194 Lean Enablers organized into six Lean Principles: Value, Value Stream Mapping, Flow, Pull, Perfection, and People. “Validation” of the Lean Enablers by surveys, and by benchmarking with recent studies by NASA and U.S. Government Accounting Office. Early feedback from past tutorials and implementation

The reduction of lead time in the product development process (PDP) is one of the main challenges faced by organizations operating in dynamic and competitive markets, such as the textile sector. In this context, the application of lean manufacturing principles has proven to be a promising strategy to eliminate waste and increase efficiency. This article aims to analyze the joint application of Value Stream Mapping (VSM) and the Gemba Kaizen (GK) method in a multi-project PDP of a textile industry in Santa Catarina, seeking to highlight how these practices can contribute to continuous improvement. Methodologically, the study adopts action research, conducted in two intervention cycles: the first focusing on waste identification through VSM, and the second on implementing improvements via GK. The results revealed the existence of excessive information inventories, rework, and inconsistencies in material and data flows, which directly impacted lead time. The application of lean practices resulted in a 63% reduction in the rework rate in printing and a decrease of two days in the total PDP lead time. As a contribution, the study demonstrates the applicability of Lean Product Development in sectors still scarcely explored in the literature, such as textiles, while also highlighting the relevance of integrating classical quality tools with lean methodologies. It further suggests the need for future research on the digitalization of VSM and GK, aligning product development with the principles of Industry 4.0 and the circular economy.

In this current scenario of highly competitive market, the product development time plays a key role in determination of existence and excellence of an organization in a business. Organizations involved in new product development try to reduce product development time by employing different methods such as concurrent engineering, value stream mapping, efficient-scheduling, accelerated testing, etc.… Despite various techniques available, the reduction of bottlenecks in product development remains a challenge in many organizations. In Machinery Industry, the product consists of combination of make and buys. In most cases, the major source of lead time is from bought out components where the scope of control is limited. Proper scheduling and modifications in design processes and review methodologies to adapt these kinds of situations can accelerate the product development process significantly. This paper elucidates various challenges in product development, factors affecting lead time and a time based approach for design that reduces product development lead time at design stage itself. The approach uses concurrent engineering that enables and guides through the process to create an optimized design by itself in such situations involving make and buy components. This method has been implemented in development of a product which has helped to reduce the design time by more than 40%.

<div class="htmlview paragraph">New and unprecedented changes in customer demands, globalization, cost pressures, innovative product development strategies to shorten product development time, and changing external landscape with reduction of trade barriers, poses challenges and opportunities for the manufacturing industry. Customer demands and needs require modification and reconfiguration of existing manufacturing and assembly plants as well as creation and setup of new ‘Greenfield’ facilities in developing countries. Currently, the solutions provided by most service providers focuses on limited elements of the solution methodology. We have developed an integrated methodology to perform virtual plant commissioning using digital manufacturing, design for six sigma and lean manufacturing principles. Starting from product definition, the paper goes into the depth of macro and micro level plant layout, line layout and definition, line simulation, line balancing, optimization of line and process plans, tooling station detail, material flow, and kitting of modules. It integrates design at plant level, line level, station level and equipment level and as a result of this approach; multiple what-if scenarios are evaluated and visualized in 3D, early on in the product development process, before the need for investment in plant infrastructure. In addition, this methodology helps simulate the movement of a 3D digital prototype through a virtual plant; thereby helping reduce ‘unpredicted’ product launch costs and corrective tear-up of physical infrastructure.</div>

Value addition and performance improvement are important to deal with increasing local and global market competitiveness. Interventions and automation based on Lean and ergonomics principles have strong influence on performance improvement of the production systems. This study focuses on implementation of lean manufacturing and ergonomics principles to improve work environment and performance of the soccer manufacturing production line. Work visualization and value stream mapping (VSM) techniques were employed to identify the opportunities for improvements. Time of value and non-value-added activities is recorded using time study method. Working postures and associated risk factors are evaluated using Rapid Entire Body Assessment (REBA) method. Lean manufacturing principles are employed to minimize wastes and non-value added activities. Similarly, improvements in work environment are made through ergonomics interventions. Various models comprising different levels of lean and ergonomics interventions were evaluated through simulation before actual implementation. The results of the finalized model in terms of decrease in cycle time (8.64 to 7.018 seconds), increase in daily production (20505 to 24176 soccer balls), and improved work environment are evident of performance improvements in all aspects. The integration of lean and ergonomics principles leads to improve the productivity and working environment for workers in soccer ball manufacturing industry.

This research focuses on solving the multistage processes pacemaker location problem. The aim is to implement lean continuous flow that can satisfy both a high service-level and low inventory cost. Simultaneously, we consider sophisticated variability, such as multi-products, random setup, random breakdown, yield loss, and batch processes, and other contingencies. The problem can be solved by a combination of multiple attribute decision-making and value stream mapping. A lean-pull production strategy adopts two work-in-process setups, and one supermarket as a buffer to create continuous flow. A practical thin film transistor-liquid crystal display manufacturing case study is utilised to illustrate the proposed method. The simulation results indicate that the inventory cost was reduced by over 57% after implementing a lean-pull production strategy.

Lean production system design for fishing net manufacturing using lean principles and simulation optimization

Leveraging lean principles in creating a comprehensive quality program: The UCLA health readmission reduction initiative

Lean based cycle time reduction in manufacturing companies using black widow based deep belief neural network

Performance-enhancing efforts in the manufacturing industry have centred on ‘lean’ principles and philosophies since the early 1970s. Lean principles, philosophies, tools and methods have also been significantly deployed to enhance performance in service processes within the manufacturing industry, as well as the process industry (e.g. inspection, maintenance and modification-related). It has been observed that when the main business is mostly centred on service-providing processes, significantly less effort is put into exploiting the use of lean approaches to enhance performance. Therefore, it is vital to investigate the potential of ‘lean’ concepts’ implementation in a service-providing organisation. This manuscript is based on the value stream mapping and the value stream analysis (VSA) performed in a Polish telecommunication-industry-related service-providing company. A plain old telephone services-based case study is presented. The service-providing process is analysed in order to identify the current existing drawbacks and to propose improvements to enhance performance. Based on the current state value stream map and the VSA results, a future state value stream map was developed. Then, process efficiency was calculated in order to assess the level of performance improvement.

Purpose: The aim of this paper is to show a successful improvement in operations with the implementation of lean manufacturing strategies in a Caribbean oil and gas company. Design/Methodology: Initially, a review of literature was performed on lean manufacturing (LM) tools. Then interviews and GEMBA walkthrough was carried out in the selected case organisation followed by the problems faced were analysed using value stream map (VSM) together with root cause analysis tools. At the end, future state VSM was developed and the benefits due to implementation of LM principles were quantified. Findings: The study revealed that a traditional approach is currently being used on the shop floor thus increasing the opportunity for hidden wastes between the processes as well as increased repair time due to defective equipment. The results concluded that improved shop floor utilisation, reduction in preparation time and hidden wastes were identified on the shop floor. Originality/value: The review of literature indicated that implementation of the lean principles in the Caribbean oil and gas sector has not been explored. Further, the study results provide a road map for similar organisations to achieve operational improvement but also is valuable for academic and research community for practical implementation of lean principles.

Question: How have Lean Construction principles been applied in building projects, and what challenges and benefits have been identified in their implementation? Purpose: The purpose of this paper is to systematically review the application of lean principles in building projects to determine widely used tools, associated benefits, barriers, and research gaps. It aims to explore the evolution of the lean idea from a foundational approach to a digital-integrated framework. Research Method: A systematic literature review conducted using the PRISMA framework. Searches were conducted in Scopus, Web of Science, and Google Scholar using Specific Keywords. After applying the inclusion and exclusion criteria and removing duplicates, 83 studies published between 2007 and 2025 were included in the analysis. Findings: The review reveals that the Last Planner System® (LPS®) is the most widely implemented tool, offering quantifiable benefits in cost, time, and workflow. Value Stream Mapping (VSM) and 5S improve operational efficiency but remain limited in application. Tools such as Just-in-Time (JIT), Target Value Design (TVD), and Set-Based Design (SBD) are underexplored. Significant barriers include interoperability issues, less leadership initiative, and inadequate training. The integration of the Lean-BIM-Digital framework is evolving but lacks empirical validation. Limitations: Most reviewed studies are case-based and qualitative, making them difficult to generalize. Research is mainly focused on the construction phase, with minimal attention to design and procurement stages. Implications: The findings show the need for standardized performance indicators, stronger empirical methods, and broader application of lean-digital integration. Industry practitioners and policy makers can use these insights to improve lean implementation. Value for Authors: This review tries to connect fragmented knowledge, provides a comprehensive approach to lean practices in building projects, and guides future research toward quantifiable, technology-oriented solutions. Keywords: Lean Construction, Building projects, Last Planner System® (LPS®), BIM integration, Challenges, Benefits, Systematic literature review Paper type: Review Papers

PurposeOne of most important tools for lean production is value stream mapping (VSM), which identifies and reduces errors, losses, waiting time and improves value adding time, leading to enhanced product quality through empowering production unit in terms of production risk and cost reduction in the long term. This paper aims to present a general concept for production flow, such that value stream can be fully understood. For this purpose, this research investigates the effect of value stream on operational losses and analyzes the process that has been conducted in preview step operationally, using the discovered pattern.Design/methodology/approachIn this research, related processes were evaluated after the review of the relevant literature and after extracting operational basics of lean approach using a questionnaire, such that all factors affecting operational losses and VSM were assessed. Then comparison between the result of current state map and the result of future state map were done and analyzed. Cronbach’s alpha was calculated to test the designed questionnaire’s reliability, which resulted in an acceptable level of 0.845. The structural equation modeling method through SPSS and Smart–Partial Least Square was applied to analyze the data and test the hypotheses.FindingsThe results reveal that implementing required changes and corrections will lead directly to production process improvement, which, in turn, results in higher customer satisfaction because of cost reduction and quality enhancement. Also, tests of the hypotheses confirm that VSM affects six operational losses, namely, equipment failures, set-up and changeovers, idling and minor stoppages, reduced speed operation, scrap and rework and startup losses.Research limitations/implicationsThough this study was done in a single manufacturing company, the implementation of this study delivers important results that can be deployed in other such manufacturing companies.Practical implicationsThis tool helps to identify loss points, make right decisions, and choose the best methods and lean tools for improvement. The surveyed company can integrate lean principles and tools and achieve better results using this tool. Also, this tool could be used to analyze the process and to define necessary changes before changing the process components.Originality/valueThis study contributes to the body of knowledge in manufacturing research as the study regarding the effects of improvement opportunities identified through VSM on operational losses is still something new.

This paper describes two ways of mapping engineering processes in product development—Value Stream Mapping (VSM) and a simplified variant of VSM—which are compared with Process Mapping (PM). PM is closely related to VSM but applied differently although the goal—to identify possible process improvements—is often the same. The results of the study indicate that simplified ways of doing VSM are the most feasible. They are easier to get started with, they have a higher potential for improvement of the process and one gets an instant overview of the mapped process. Further, it is more likely that the improvement will be implemented when the users are committed through their involvement in the mapping process.

<title>ABSTRACT</title> <p>The International Council on Systems Engineering <ext-link ext-link-type="uri" xlink:href="https://www.incose.org/">https://www.incose.org/</ext-link> is a recognized standards body defining a system engineering knowledge-base, but this knowledge falls short of fully recognizing manufacturing in the Systems Engineering (SE) framework. To be inclusive, Manufacturing needs to join in the initiative of Model Based Systems Engineering to be relevant and succeed in the digital transformation in the field of systems engineering. This paper addresses this need in manufacturing by applying Model Based System Engineering (MBSE) to the identification and management of key characteristics so that a more relevant set of Manufacturing requirements can be introduced into the MBSE construct and help realize manufacturing resilience and become a full SE partner.</p> <p><bold>Citation:</bold> “Identification and Management of Key Characteristics in Product Development Using Model Based Systems Engineering,” In <italic>Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium</italic> (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.</p>