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Recently, increasing costs and competitive pressure have accelerated the search for different business models in both the production and service sectors. The rapid development of technology has increased the importance of digitalization, especially in developing new and different strategies. The digital service business model has also become a new business model that companies have recently preferred. In addition to its many advantages, it is a business model in which different barriers arise in practice. When we look at the literature, there are very few studies, especially on digital servitization. The purpose of this study is to integrate the concept of digital servitization with the Industry 4.0 perspective.

To achieve this aim, first, the authors identify various challenges and barriers in front of digital servitization based on the Industry 4.0 perspective. Later, they determine the relative importance of these barriers critical to the success of digital servitization. Lastly, one multi-criteria decision-making method, the fuzzy decision-making trial and evaluation laboratory method, is used to analyze the cause-and-effect relationship between each barrier based on the Industry 4.0 perspective

Based on the results, the most crucial cause-and-effect barriers are insufficient infrastructure/lack of IT infrastructure and high implementation, respectively. Therefore, this study offers the reader the possible barriers to sustainable digital servitization with Industry 4.0 perspective implementations and comprehensive solutions for these barriers. In addition, this study draws a roadmap for disseminating digital service applications.

There is no study, to the best of the authors’ knowledge, about determining barriers and problems with merging digital servitization with the Industry 4.0 perspective. So, there is still a significant gap in the literature about investigating these two essential topics from the Industry 4.0 perspective.

This study aims to analyze lean wastes for the poultry sector in Turkey and link lean tools to this study, focusing on identifying each lean waste that affects poultry production and proposing solutions for preventing these lean wastes in the sector. The proposed solutions aim to improve processes by suggesting different lean tools and their applications for the poultry sector.

The study consists of two different applications. First, the waste relationship matrix (WRM) was created to reveal the relationship between seven lean wastes and their importance order. Then, after determining lean tools for eliminating lean wastes, the optimum weight ranking and consistency ratio of the most suitable lean tools were calculated for these wastes and ranked with the best-worst method (BWM).

Results showed that overproduction is the most critical waste that impacts other wastes, followed by defect waste. Due to the nature of the sector, these wastes not only result in economic loss for the company but also in food waste and loss and issues related to animal welfare. Furthermore, the Kaizen approach and 5S implementation are the methods to eliminate these wastes. Detailed discussion on the link between lean tools and lean wastes is provided for the poultry sector.

This is the first study that theoretically and empirically identifies the potential lean waste affecting the poultry sector and provides lean tools for eliminating these wastes. Sector-specific explanations and discussions are presented in the study to show the applicability of lean approaches in the poultry sector to eliminate waste. In addition, this study is the first to integrate the WRM and BWM.