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This paper explores the applications of lean thinking in re-evaluating the business school curriculum, syllabus and intended learning objectives to enhance the employability of graduates through identifying and eliminating non–value-added activities.

The research employed multilevel qualitative methodology, where 55 semi-structured interviews were conducted to collect data from academics, students and graduates from several private and public universities in Jordan.

The study finds that the application of lean thinking in the business school is twofold – it helps the developer of the school curriculum to get rid of many superfluous and non–value-added activities and also emphasises and reinforces the value-added activities. Value stream mapping, with a consideration for internal and external outputs, has been found to be a useful tool for developing an employability-focussed curriculum that equips business school students with the required competences and skills in the labour market.

The study is based on a qualitative research approach. The generalisability of the findings is difficult to assess, and future research would benefit from the insights obtained from the quantitative data

In practice, this study has identified different types of non–value-added and unnecessary activities in business school curriculum and has made suggestions for the development of a more employability-focussed curriculum.

This paper investigates the non–value-added activities of the business school curriculum, syllabus and the intended learning objectives to enhance the employability of graduates in Jordan.

The evaluation of time-based performance is a valued approach in the lean management thinking which is based on delivering value from customer's perspective. This approach contributes for long-term competitiveness and success in today's business environment. The focus of this study is to analyse the cycle time and manufacturing lead time with value stream mapping (VSM) in the preparatory stage of the textile fabric manufacturing process and to identify and improve the non-value adding activities in the value chain (VC). The study presents an insight on the translation of performance improvement across functions and how upstream supply chain (SC) segments can be linked in the performance improvement program. It also covers how the application of VSM improves visibility and planning flexibility in textile fabric manufacturing process.

The time-based performance was evaluated using VSM and recording of the activity times in the existing process. The impact of the quality of supplier's raw material was also measured contributing to identify the strategy for procurement and the means to establish a feedback system to the upstream segments of the SC. The methodology of VSM, observation of the practice and the expertise of the individuals involved with the process were utilised to develop the value stream maps and to identify value adding activities, non-value adding activities, existing gaps and plans for improvement.

The means for improving the time-based performance were identified and their impact was measured. The factors responsible for improvement are related to the production system and with the procurement strategy. The improvement was achieved in terms of available capacity utilisation, balancing the work flow in the preparatory stages, visibility of the process by measuring its capability and flexibility for the planning function. The study revealed that the effectiveness and enhancement of VSM and related tools should be adopted to address the issue of limiting success rates of long term and repeating application of such tools. Continuous improvement, innovations and the systematic embedding of VSM in the process life cycle provide the ways for achieving long-term success.

The paper presents a real and in-depth study on the application of VSM in the textile manufacturing process. The scope of the study is broad; it covers activities across functions with actual estimates of activity times in the manufacturing process for the focused value streams. It offers researchers the opportunity to analyse the translation of productivity improvement across functions and how upstream SC segments can be linked in a performance improvement program.

The study offers useful insight for the managers in textile manufacturing and other sectors for improving the time-based performance and achieving higher utilisation of capacity. It identified the production factors and their impact on warping and sizing cycle time in selected value streams and those which share common activities. It also identified the directions for future research when repeating the application of VSM in the continuous improvement cycle. Furthermore, since the industries need to progress towards advanced systems including Industry 4.0 standards, adoption of advanced VSM tool with relevant technology can align their production systems to develop the required capability. This will also bring a sustainable competitive advantage in the system.

The focused sector is stagnant in terms of productivity and innovation. The adoption of the advanced tools can facilitate the implementation of continuous improvement and innovation strategies.

The main focus of this study is to analyse and improve the cycle time in the preparatory stage of the fabric manufacturing process. This has impact on other important and tangible measures including capacity utilisation and work flow and intangible measures including production planning flexibility and process visibility. The improvement impact is across departments.

This paper focuses on the management of the learning curve in overseas capacity expansions. The purpose of this paper is to unravel the direct as well as indirect influences on the learning curve and to advance the understanding of how these affect its management.

The paper builds on the offshoring, capacity expansion and learning curve literature. The existing scholarship often lacks detailed insights into the factors surrounding the globalisation of production, and how constructing and operationalising new capacities overseas should be implemented. The paper employs qualitative methodology and draws on a longitudinal, factory-level analysis of an in-depth case study of a Danish wind turbine manufacturer.

This study goes beyond a simplistic treatment of the lead time and learning required to establish a new capacity. The authors examined the dimensions of the learning process involved in a capacity expansion project and identified the direct and indirect labour influences on the production learning curve. On this basis, the study proposes solutions to managing learning curves in overseas capacity expansions. Furthermore, the paper concludes with measures that have the potential to significantly reduce the non-value-added time when establishing new capacities overseas.

The paper uses a longitudinal in-depth case study of a Danish wind turbine manufacturer and goes beyond a simplistic treatment of the lead time and learning required to establish a new capacity.

The calculation of quotations has been proven to be an extremely challenging matter in customized manufacturing requirements. There are significant wastages, which are attributed to activities related to the quotation preparation process (QPP) and their influence on an offer of delivery time to a customer. Hence, the purpose of this paper is to develop a tailor-made value stream mapping (VSM) approach, combined with a set of performance indicators for QPP performance measurement and management, to decrease the lead time of QPP.

Current and future state value stream maps have been developed to measure the performance of QPP. To minimize the weaknesses of the cycle efficiency indicator, additional indicators, assessing improvements to value- and non-value-added activities, external interested parties’ influence on lead time, etc., have been developed for QPP performance management. To illustrate the usefulness of the proposed indicators, a case study has been performed.

Only when all appropriate indicators are calculated than we have the whole overview of the current and future state in a QPP.

The proposed indicators were used only in one case study. If they are used in different case studies from different companies and operating in different industries, it will be possible to discover whether the presented indicators are enough to fully understand the analyzed process.

The proposed methodology is ready to be used in industry practice.

The presented VSM methodology, combined with a set of performance indicators for QPP, provides the originality of the work.

The global manufacturing industry is becoming more competitive. Munjal Showa, a shock absorber manufacturer in India, is using indigenous development of lean machines by incorporating concepts of lean manufacturing and low-cost automation techniques to increase their competitiveness. This new approach has helped the company to reduce cost of manufacturing and to increase productivity by reducing cycle time and down time. The purpose of this paper is to offer an in depth study of how at Munjal Showa Ltd lean machines are being developed and manufactured. This paper explores how a cumbersome machine was transformed into a lean machine.

This paper explores how a cumbersome machine was transformed into a lean machine.

This new approach has helped the company to reduce cost of manufacturing and to increase productivity by reducing cycle time and down time.

The paper discusses the process of converting one cumbersome machine to a lean machine.

Creativity before capital. In lean, team brainstorming of ideas and solutions is emphasized instead of spending large sums of money on capital expenditures

The cockpit model eases pressure of incumbents on the shop floor.

The concepts espoused in the paper has increased productivity by 3.45 times and reduced costs.

The increasing demand for market‐oriented production leads to shorter product life‐cycles, growing product variety and, therefore, changing lot sizes. These critical lot sizes vary greatly in number. Because of this, the question of whether or not to prioritize fully automated or manual assembly arises. The intention to meet the requirements of a turbulent market leads to hybrid assembly systems in which automated and manual assembly stations operate together flexibly. This hybrid system, supported by modular structures with defined interfaces and process software, allows a fast reaction to any change in products, variants and lot sizes. Owing to the difficulty in accessing materials, traditional assembly systems have a high contingent of non‐value adding procedures. By collecting materials in advance within one main area and distributing them to the work stations simultaneously for the production of a good, a minimized quantity of material is present on the assembly line, thus making the process more efficient.

This paper proposes to apply the lean philosophy principle of minimizing or eliminating non-value adding activities combined with 4D building information modeling (BIM) simulations to reduce transportation waste in construction production processes.

This study adopts design science research (DSR) because of its prescriptive character to produce innovative constructions (artifacts) to solve real-world problems. The artifact proposed is a set of constructs for evaluating the utility of 4D BIM simulations for transportation waste reduction. The authors performed two learning cycles using empirical studies in projects A, B and C. The construction process of cast-in-place (CIP) reinforcement concrete (RC) was selected to demonstrate and evaluate 4D BIM's utility. The empirical studies focused on understanding the current transportation waste, collecting actual performance data during job site visits and demonstrating the usage of 4D BIM.

In the first cycle, 4D BIM successfully allowed users to understand the CIP-RC process's transportation activities, which were modeled. In the second cycle, 4D BIM enabled better decision-making processes concerning the definitions of strategies for placing reusable formworks for CIP concrete walls by planning transportation activities.

In Cycle 2, three different scenarios were simulated to identify the most suitable formwork assembly planning, and the results were compared to the real situations identified during the job site visits. The scenario chosen demonstrated that the 4D BIM simulation yielded an 18.75% cycle time reduction. In addition, the simulation contributed to a decrease in transportation waste that was previously identified.

The original contribution of this paper is the use of 4D BIM simulation for managing non-value adding activities to reduce transportation waste. The utility of 4D BIM for the reduction of those conflicts considered three constructs: (1) the capacity to improve transportation activity efficiency, (2) the capacity to improve construction production efficiency and (3) the capacity to reduce transportation waste consequences.

The Six Sigma and Lean Production methodologies suggest that creating value for customers is the objective of a production process or an organisation. In the production context, “added value” dominates the discussion about the creation of value to customers. However, “added value” is often only defined conceptually or discussed at a strategic level, and the link between added value and customer value has not yet been well conceptualised. Therefore, the purpose of the paper is to develop a methodology to measure added value in order to complement the existing performance measures in Six Sigma and Lean Production by conceptualising the link between customer value and added value. The conceptual link “confirms” that quality, time, and costs are the elements of added value, which are transformed into a metric to express customer value. The implementation of the metric recommends the adoption of Lean (Six) Sigma and Lean Accounting (Activity Based Costing), which thus implies that “leanness” is an important “feature” of added value.

A comprehensive literature review was conducted to identify the lean principles and the challenges of building refurbishment. To have an in-depth investigation of the application of lean principles to address the challenges of refurbishment projects, ten expert interviews following a qualitative research approach were utilised in this research. Data were analysed using manual content analysis to derive the framework.

The refurbishment of buildings has attracted the attention of the present construction industry. However, uncertain project characteristics, information deficiency, limited space for construction activities and less stakeholder involvement make it complex. Since the lean concept effectively deals with complex and uncertain projects, this study focusses to investigate the application of lean principles to overcome the challenges of refurbishment projects in Sri Lanka by developing a framework.

It was found that the five main lean principles of customer value, value stream, value flow, pull and perfection are appropriate for building refurbishment projects in Sri Lanka. Precise identification of clients and end-users, value adding and non-value adding activities, interruptions and stakeholder communication chains, setting scope, examining the possible technologies and taking measures to deliver the exact product to ensure the successful application of lean principles for refurbishment projects. Further, 27 benefits of five lean principles were identified which can be used to address the 13 identified challenges of building refurbishment of projects. Finally, a framework has developed portraying the application of lean principles in building refurbishment.

The framework developed is beneficial for the building refurbishment project team to address the barriers of refurbishment projects by applying lean principles.

This framework can be used as a guideline for the implementation of building refurbishment projects by addressing their challenges with lean principles.

This paper aims to deploy Lean Six Sigma (LSS) framework to facilitate defect reduction and enhance bottom line results of an automotive component manufacturing organization.

LSS is a business process improvement strategy widely used in the manufacturing field for enhancing manufacturing organization performance. The integration of Lean and Six Sigma will enable the attainment of defects reduction by eliminating non-value-adding activities from production line. LSS framework has been developed with the integration of define–measure–analysis–improve–control (DMAIC) tools and techniques.

The finding of this study is that the LSS framework has been successfully implemented in automotive component manufacturing organization, and non-value-adding activities and defects from assembly line have been reduced. The proposed LSS framework applies lean tools within Six Sigma DMAIC approach to facilitate waste elimination and defect reduction. The developed framework with linkage of DMAIC tools and techniques reduces defects and non-value-adding activities with enhanced bottom line results. The implementation of proposed LSS framework shows effective improvement in key metrics.

The developed framework has been test implemented in an automotive component manufacturing organization. In future, more number of studies could be conducted. Further, advanced lean tools and techniques could be included in the framework for increasing the effectiveness of production line.

The proposed LSS framework with linkage of DMAIC tools and techniques has been successfully implemented in an assembly line of automotive component manufacturing organization. This method is presently applied for an automotive component manufacturing organization; in future, the approach could be applied in different industrial sectors with addition of new tools and techniques for improving its effectiveness.

LSS framework has been designed and test implemented in an assembly line of an automotive component manufacturing organization. Hence, the inferences are practical and key results of the study.