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This study aims to examine the impact of Lean 4.0 practices on value co-creation in the dairy ecosystem.

Data collection were carried out through a questionary application with 126 professionals linked to the dairy ecosystem, including milk producers, milk cooperatives and milk transporters. The data were analyzed using Cluster Analysis, Mann-Whitney test and Chi-Square test.

A strong relation was found between the use of Lean 4.0 tools and the increase in operational performance, in addition to milk quality. Moreover, it can be noted that the use of digital technologies from Industry 4.0 has a strong relation with dairy production optimization, in other words, it is possible to be more efficient in the dairy process via Lean 4.0 adoption.

The study is limited to analyzing the Brazilian dairy ecosystem. The results presented may not reflect the characteristics of the other countries.

Once the potential empirical impacts of the relation between Lean 4.0 and value co-creation are elucidated, it is possible to direct strategies for decision-making and guide efforts by researchers and professionals to deal with the waste mitigation present in the dairy sector.

Lean 4.0 proves to be a potential solution to improve the operational performance of the dairy production system. Lean 4.0, linked to value co-creation, allows the integration of the production sector with consumers, through smart technologies, so new services and experiences can be provided to the consumer market. Additionally, the consumer experience can be stimulated based on Lean 4.0, once the quality specification is highlighted based on data science and smart management control.

To the best of the authors’ knowledge, this is the first study that analyzes the interrelationship between the Lean 4.0 philosophy and the value co-creation in the dairy ecosystem. In this sense, the study reveals the main contributions of this interrelation to the dairy sector via value co-creation, which demonstrates a new perspective on the complementarity of resources, elimination of process losses and new experiences for the user through digital technologies integrated with the Lean Thinking approach.

Lean manufacturing, a philosophy that revolutionized the manufacturing industry, is often linked to the Toyota Production System (TPS). At the core of a lean company, one can observe proper implementation of lean manufacturing tools and practices such as just-in-time, work teams, cellular manufacturing, lean layout, etc. The goal of lean production is to minimize the waste producing activities while offering the same or enhanced quality to customers.

The aim of this research is to investigate the implementation degree of lean manufacturing and its tools and practices focusing on the case of an SME in Albania as a concrete example. Higher attention is given to some of the pillars of lean manufacturing such as just-in-time and cellular manufacturing.

In this case study, researchers observed a variety of features of lean production. Just-in-time was implemented to a certain extent and cellular manufacturing at a more surprising level, which was facilitated especially by the U-shaped facility layout designs observed during the site visits. The value stream mapping showed a proper group technology in place and the management displayed signs of engagement and future advancement desire regarding this philosophy.

Large public companies restructure themselves on a regular basis with the primary goals of achieving better financial performance and demonstrating responsiveness to shareholder interests. However, it is well know that such discontinuities typically result in great stress and confusion amongst employees, particularly over how to achieve new stretch goals. Key functions such as engineering, manufacturing, purchasing, quality, and finance often pursue separate paths to achieve function‐specific goals. This paper utilizes the principles and tools of lean production to decode the CEO’s mandates and deliver practical, solutions‐oriented tools to employees to help achieve stretch business goals. This creates an effective bridge between the language of the CEO and engineering, manufacturing, purchasing, quality, and finance functions. Coupled with LEAN BEHAVIORS^SM, an environment can be created that enables widespread employee alignment and commitment to challenging business conditions. The result is the first framework that unifies technical and behavioral components of management.

The purpose of this paper is to investigate the effects of lean production practices and lean duration (the duration for which lean production is in operation) on manufacturing performance.

The survey was used as the main method of data collection. In addition to survey data collected from 1,189 respondents from export-based textile and apparel firms operating in Sri Lanka, longitudinal data were collected over a period of seven months from a firm in the study sample to corroborate the survey findings.

The findings revealed that lean production practices significantly enhance manufacturing performance. Further findings revealed the importance of the duration of lean production in operation in achieving higher levels of manufacturing performance. This provides empirical support for the contention that the adoption of lean production can only be achieved through time.

Findings have implications for practices of export-based textile and apparel producing countries from Asia, Latin and Central America, the Caribbean, Eastern Europe, and North Africa, which are competing intensively with each other for their market share in the global export-based textile and apparel production.

Manufacturing firms are adopting production methods and management practices to become leaner and fitter to create a new labour intensive production model that generate distinctive internal capabilities for survival and growth in international markets. Academics and practitioners in the field of manufacturing technologies will be interested in better understanding how lean production practices would enhance manufacturing performance from a non-western developing country context.

Rising energy costs and potential scarcity are driving energy reduction initiatives in manufacturing companies. The reduction in energy use is complementary to the classic lean production philosophy and the lean and green literature implies that reducing energy waste supports lean objectives. The purpose of this paper is to examine this perceived positive correlation and identify the impact level of energy reduction of lean product flow.

To achieve this, published case studies and practices from interview were gathered and categorised against a waste management hierarchy.

Energy reduction activities implicitly reduce waste which is compatible with the lean waste objective, however, when applying the waste hierarchy principle to energy efficiency practice, lean product flow is progressively constrained or compromised towards the lower levels of the hierarchy.

The hierarchical classification seeks to communicate how reported energy efficiency improvements will/will not impact on flow. The research focuses on the modification of existing discrete part production facilities towards greater energy efficiency and neglects alternative production technologies and new build. The results suggest that as manufacturers seeking to be more energy efficient move away from preventative actions to more reduce and reuse actions then production flexibility could become restricted and the design of production facilities make re-think the fast, linear and short flow of product.

Examples of industrial practices are provided to show the implications of energy reduction practice on production flow.

Categorises the relationship between classic lean and industrial low-energy initiatives to provide insight to how higher energy cost could impact on production.

The authors analyze the principles and results of lean production and compare the lean production philosophy with the six sigma quality process and the principles of total quality management (TQM). At the end of the paper, it is discussed how to build the necessary company culture for having success with these principles/management philosophies.

Literature search and comparative analysis complemented with a Danish case on wastage in a core process.

It is shown that the lean production philosophy and the six sigma steps are essentially the same and both have developed from the same root – the Japanese TQM practices. The improvement process from six sigma, the DMAIC process, can be regarded as a short version of the Quality Story, which was developed in Japan in the 1960s as a standard for QC‐circle presentations. We conclude that the roadmaps of lean production and six sigma quality are examples of new alternative TQM roadmaps. We also conclude that especially with lean production and six sigma quality there seems to be too much focus on training people intools and techniques and at the same time too little focus on understanding the human factor, i.e. how to build the right company culture.

The detailed and historical analysis of six sigma quality, lean production and TQM combined with a focus on the human factor and the needed corporate culture.

Using a theory of translation of ideas, the purpose of this paper is to investigate how the mining industry has implemented and practices lean production as well as the form of this practice.

The study reviewed the scientific literature on lean production in the mining industry, as well as in the reported practice of the concept in a mining company. The results were then analyzed using content analysis.

Lean production has not seen a full implementation in the mining industry. Rather, select practices are focused, though the literature covers several more. The findings suggest that the form and extension of lean production in mining differ from other industries owing to characteristics of the industry itself.

The scientific literature on the subject is limited. Additional material was used to attempt to offset this. However, there are still blind spots relating to practice that is not reported in the type of material investigated.

This paper contributes to understanding the evolution of lean production in a unique industry. It suggests why lean implementation may be unsuccessful in this type of industry while also identifying the focal point of its lean production practice.

Proposes a framework (developed from an analysis of the existing literature) which will be useful to research the linkages between work organization and lean production practices. The framework considers two types of work organization practices: type (a) which is directly linked to lean production practices such as JIT/TQM (worker autonomy, multifunctional employees, feedback to workers, etc.) and type (b) which influences the setting up and the maintenance of type (a) practices (training, compensation, etc.). Tests hypotheses concerning the practices which can be said to be directly linked to JIT/TQM on data collected on 43 manufacturing plants through valid and reliable measurement instruments. The results show that lean production plants seem to use more teams for problem solving, to take employees’ suggestions more seriously, to rely more heavily on quality feedback both for workers and supervisors, to document production procedures more carefully and to have employees able to perform a greater variety of tasks including statistical process control. Lean production plants, however, show almost no differences with regard to aspects of work organization which involve hierarchy.

Building on the routine dynamics literature, this paper aims to expand our philosophical, practical and infrastructural understanding of implementing lean production. The authors provide a process view on the interplay between lean operating routines and continuous improvement (CI) routines and the roles of different actors in initiating and establishing these routines.

Using data from interviews, observations and document analysis, retrospective comparative analyses of three embedded case studies on lean implementations provide a process understanding of enacting and patterning lean operating and CI routines in manufacturing SMEs.

Incorporating the “who” and “how” next to the “what” of practices and routines helps explain that rather than being implemented in isolation or even in conjunction with each other, sustainable lean practices and routines come about through team leader and employee enactment of the CI practices and routines. Neglecting these patterns aligned with unsustainable implementations.

The proposed process model provides a valuable way to integrate variance and process streams of literature to better understand lean production implementations.

The process model helps manufacturing managers, policy makers, consultants and educators to reconsider their approach to implementing lean production or teaching how to do so.

Nuancing the existing lean implementation literature, the proposed process model shows that CI routines do not stem from implementing lean operating routines. Rather, the model highlights the importance of active engagement of actors at multiple organizational levels and strong connections between and across levels to change routines and work practices for implementing lean production.

Develops a model which operationalizes the different principles in lean production, with a focus on those that concern the work organization in the manufacturing part of a company. The model has been developed using available theory and has also been tried out in a clinical field study. The model has implications both for research and practice. For research, it can be used as a model for operationalizing lean production to be able to study change processes properly. In practice, the model can be used as a tool to assess the development taking place in an effort to become lean. Finally, it can be used as a checklist for what to aim at when trying to implement lean production. Lean should be seen as a direction, rather than as a state to be reached after a certain time and, therefore, the focus lies on the changes in the determinants, not on their actual values.