Trend Of Servitization Research Articles

Grey relation analysis of 4S service pilot in high-end equipment manufacturing industry

Servitization has a significant impact on the upgrading and reform of the equipment manufacturing industry. From the perspective of application of high-end servitization theory in business practice of equipment manufacturing industry, based on the review of relevant literature, this paper analyzes the concept of integration delay strategy mechanism of cooperative production between enterprises and customers, and thus constructs the theoretical model framework of 4S service pilot high-end equipment manufacturing product-customer interaction experience. With the Liaoning equipment manufacturing industry as a case for quantitative analysis, the feasibility of using delay strategy in the 4S service pilot program is demonstrated, and the three-stage development plan of Liaoning 4S service pilot is outlined. The results show that: At present, in the trend of servitization of China’s equipment manufacturing enterprises, 4S service pilot high-end manufacturing product model enables equipment manufacturing enterprises to delay production time and produce according to customer orders, improve service efficiency and optimize resource allocation, and help enterprises to obtain new exclusive competitive advantages.

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Modular production requires new service provision under the trend of servitization. This paper is to explore the issue of module-based service associated with three different power structurers in a two-echelon supply chain that consists of a module supplier and a manufacturer. The manufacturer considers to delegate its upstream module supplier to provide services for downstream consumers. We divide the market into two types: the price-sensitive market and the service-level sensitive market. Different power structures and market types have a great impact on the service levels, prices and the profitability of each member in the supply chain. When the manufacturer (the supplier) acts as the leader in the supply chain, the module supplier should provide the highest (lowest)-level service and the manufacturer will charge the highest (lowest) price for the bundled product and service. The module supplier can benefit from the service-delegation relationship while the manufacturer will be hurt. There is an opportunity for the module supplier to offer the service, especially when the module supplier is in a dominated position.

Module-based service provision under different power structures

Modular production requires new service provision under the trend of servitization. This paper is to explore the issue of module-based service associated with three different power structurers in a two-echelon supply chain that consists of a module supplier and a manufacturer. The manufacturer considers to delegate its upstream module supplier to provide services for downstream consumers. We divide the market into two types: the price-sensitive market and the service-level sensitive market. Different power structures and market types have a great impact on the service levels, prices and the profitability of each member in the supply chain. When the manufacturer (the supplier) acts as the leader in the supply chain, the module supplier should provide the highest (lowest)-level service and the manufacturer will charge the highest (lowest) price for the bundled product and service. The module supplier can benefit from the service-delegation relationship while the manufacturer will be hurt. There is an opportunity for the module supplier to offer the service, especially when the module supplier is in a dominated position.

How Does Servitization Affect Firm Performance?

Although the trend of servitization of manufacturing firms continues to grow in recent years, there are still on-going debates and controversial arguments on whether servitization can increase firm performance, which implies a great need to gain further insights into underlying mechanisms linking servitization and ?rm performance. Using a survey data set of 334 Chinese manufacturing firms, we examine how servitization affects firm performance, as well as the contingent role of platform-based innovation. Our results show that servitization enhances the latent needs identification while increases the dominant logics conflict. We also find the double-edged sword effect of platform-based innovation on moderating the servitization-performance relationship. This research contributes to extant literature by identifying underlying mediating effects between servitization and ?rm performance to explain how servitization affects ?rm performance. The findings also contribute to the addressing of “service paradox”.

A rough–fuzzy approach integrating best–worst method and data envelopment analysis to multi-criteria selection of smart product service module

The revolutionary development and implementation of smart technologies have triggered the manufacturers’ servitization trend towards smart product service system (PSS). Accurate selection of smart product service (SPS) module is critical to successful planning and development of smart PSS concept. This study constructs a list of criteria for SPS module selection from the perspectives of service implementation, value symbiosis and smart capability. The selection can be deemed as a multi-criteria decision-making process including two parts: weight determination of criteria and module ranking, in which the intrapersonal linguistic ambiguousness and interpersonal preference randomness are involved. The best–worst method (BWM) is widely acknowledged as an efficient method for weight determination due to its superiority in quickly finding optimal weight with scant decision data. The data envelopment analysis (DEA) method is proven feasible to prioritize alternatives with cost-based and benefit-based criteria. However, these two methods cannot handle the uncertainties involved in the selection process which may lead to imprecise results. Moreover, the previous research rarely studies simultaneous handling of these two types of uncertainty in the realm of BWM and DEA. Therefore, the current study proposes a novel rough–fuzzy BWM-DEA approach to SPS module selection, with fully capturing both the intrapersonal and interpersonal uncertainties. The application of the proposed approach in the smart vehicle service module selection and the comparisons with other methods demonstrate the validity and effectiveness of the proposed approach.

Servitization Trend in Big Data to Personal Styling Service

Servitization is a customer service with integrated product-service offerings, called product-service systems. This study aims to analyze consumer awareness and user behavior of servitization and focus the personal styling service in fashion industry. We used the social network and text mining techniques to capture social network service communications, which is a great source of useful information close to customers. Frequency analysis, centrality analysis, clustering analysis, and network visualization were conducted to investigate consumer awareness and user behavior using big data in social media. “Shoes” and “clothes” were the most frequently apparent keywords with the notion of “servitization,” and the keywords “home” and “fashion” had the highest degree of centrality in the network. Four clusters were found on the notion of servitization: fundamentals, fashion, home, and job seeking. A significant transition toward servitization is ongoing in various industries, especially the fashion industry, according to the clustering analysis. To gain a better understanding of this transition, a commercially available personal styling service was investigated. Three major companies were selected by sales volume and reputation, and the names of these companies were used as search keywords to acquire related data on social media. The keywords “men’s fashion” and “subscription box” appeared frequently apart from common fashion-related hashtags. In betweenness centrality, “best quality” and “low price” were the most important keywords in the market. This study contributes to the investigation on the trend of servitization and provides insights to service providers on consumer awareness and user behavior toward this trend via social media.

Intelligent Task Resource Planning Based on Adaptive Dynamic Resource Composition Model

With the rapid development of information technology, various resources, including computing, network, storage and application, generally present the trend of servitization. In order to plan these resources dynamically in a short time according to the task requirement and allocate them properly, this paper propose an adaptive dynamic resource composition model which can realize fast searching and matching of resources through automatic classification of resources based on type, Hierarchical Task Network (HTN) planning to implement the task planning and resource allocation algorithm to implement the resource allocation. We design a task resource intelligent planning system with a specific scenario to verify our theory and method.

Servitization trend in the machine-tools market: comparing value from turnkey and specialized IoT-based analytics solutions using TOPSIS

In the context of Industry 4.0 and the Internet of Things (IoT), machine-tools producers are adopting servitization as a way to develop and sell new specialized data-oriented services already imbedded in their machines, providing analytics. However, large companies producing automation services and products offer generic turnkey IoT-based solutions, which can be implemented in any type of machinery to extract data and provide analytics. These generic solutions can be an important threat to the specialized ones, mainly those developed by SME manufacturers. In this context, this paper aims to investigate to what extent specialized solutions can be compared to generic solutions regarding perceived value. We performed an exploratory study employing a case-based method combined with TOPSIS, in which known generic solutions are compared to one specialized solution provided by a machine-tools producer SME. From the academic point of view, our results provide a better understanding of the requirements of an IoT-based analytics solution in the field. In addition, we propose an approach that can be used by other researchers for value-added analysis of companies embarking on a servitization process. Practical contributions include a method allowing manufacturer to make an informed decision about the solution to be selected for their factories. Moreover, machine-tool manufacturers and service providers will be able to better identify and evaluate their strengths and weaknesses. This project was performed in the context of a living lab for Industry 4.0 and its results are being employed to create a learning factory for research, development, education and training purposes.

中国における製造業のサービス化動向～インターネット＋と中国製造2025～

中国における製造業のサービス化動向～インターネット＋と中国製造2025～

An Analysis of Service Trade Regulations in Korea, China, and Japan and its Policy Implications

Over the past 40 years, the share of world services trade in world total services has significantly increased. The technological developments in the ICT and transportation sectors, along with movements toward trade liberalization have contributed to this increase. The share of services trade in total trade for Korea, China and Japan has increased as well. However, the services trade's share of GDP still remains low compared to that in developed countries. Meanwhile, the growing trend of servitization across the world resulted in the services sector gaining recognition as the new growth engine in Korea, China and Japan. In this regard, all three countries are actively promoting policies to upgrade the competitiveness of their services sector, and services trade liberalization is one of the many policy options they can consider. In this report, we analyze the regulatory factors which restrict the trade in services of Korea, China and Japan to derive implications for Korea to enhance competitiveness in its services sectors by promoting trade in services in the three countries.

Measuring servitization progress and outcome: the case of ‘advanced services’

The purpose of this paper is to establish a framework for assessing the progress and outcome of a manufacturer’s transformation towards becoming a provider of ‘advanced services’ – a complex bundling of products and services, whereby manufacturers offer capabilities and outcomes instead of products alone. ‘Advanced services’ represent the most complex offering in the current servitization trend amongst manufacturers. However, current performance measures lack the breadth and focus to assess progress or outcomes, and so support research and practice of organisational transformation efforts required. To address this gap the paper investigates how a manufacturer’s efforts to become an ‘advanced services’ provider can be comprehensively measured, and develops a framework for assessing the transformation journey towards becoming an ‘advanced services’ provider. The research method is based on (1) a systematic literature review process to create a comprehensive set of service-related performance measures that are available to assess a manufacturer’s servitization efforts, followed by (2) an engagement with an expert panel to synthesise the identified measures and create a set of ‘advanced services’ performance measures. The proposed framework is presented as a scorecard that can be used in practice to assess the progress and outcome of a manufacturer’s transformation towards becoming a provider of ‘advanced services’.

ドイツにおける製造業のサービス化動向（2）～企業視点でのIndustrie 4.0～

ドイツにおける製造業のサービス化動向（2）～企業視点でのIndustrie 4.0～

An approach for process control of responsive service processes

Abstract Statistical process control (SPC) for manufacturing processes has been a well-established and indispensable tool for producing tangible products consistently. With the continuing trend of servitization, most service processes, however, require highly dynamic process behavior to satisfy individual customers. Conventional process control, without the facility to consider the process context, has hence not been capable to adequately control such processes in response to respective needs. This paper addresses this issue, firstly, by considering the dependence of the process from its context explicitly and, secondly, by utilizing stochastic frontier analysis to determine context-dependent control targets. A simple case study shows promising results for achieving a consistent process control under today's widely dynamic environments.

A Study on United Kingdom Trend of Servitization in Manufacturing

A Study on United Kingdom Trend of Servitization in Manufacturing

A Study on Germany Trend of Servitization in Manufacturing –Industrie 4.0–

A Study on Germany Trend of Servitization in Manufacturing –Industrie 4.0–