Module division and configuration modeling of CNC product–service system

Abstract

Product-service system is a new globally optimized production system with high-degree integration of product and service, which is formed under the product lifecycle management thinking of manufacturing enterprises. This paper applies the modular design method in the development of CNC product-service system and studies the module division and configuration modeling method oriented to configuration design process. First, a service module division method based on design structure matrix is proposed, and the relationship of service activities is established through directed graph and the module division of service activities is determined by calculating reachable matrix. Next, the productservice integration strategy is analyzed, the product-service integration model is built, and the organic integration of product and services is achieved. Then, the meaning of configuration model of product-service system is introduced and the configuration model is established. At last, the economical turning center is selected as an example of CNC to implement the module division and configuration modeling of CNC product-service system and to verify the feasibility of proposed methods.

Modularization of smart product service: A framework integrating smart product service blueprint and weighted complex network

“…Then, Sakao, et al (Sakao et al, 2017) presented a general process for service modularization including five steps, namely, describe customers' needs, determine level of granularity, gather service components, assign interactions and create service modules. Sheng, et al (Sheng et al, 2017) introduced three parts, i.e. service module division, productservice integration and configuration of product-service system to constitute a holistic framework for PSS module partition and configuration.…”

“…Third, for the SPS module partition based on the obtained correlation evaluation results, the efficiency of the previous partition methods, such as fuzzy clustering algorithm (Sun et al, 2017), mapping matrix (Li et al, 2012), fuzzy graph (Song et al, 2015;Song and Sakao, 2017), transitive closure method (Geng et al, 2019;Sheng et al, 2017) and morphological matrix (Li et al, 2018), would markedly decrease and easily suffered in local optima (Sayama et al, 2013). Most of these methods cannot be capable to acquire optimal SPS module partition schemes in terms of a larger calculation scale and workload, and to provide a visualization way to directly understand the partition process.…”

A Method of Capturing and Transferring Customer Value in Product Service System

“…Similarly, the mean ( ) ( , , , , , ) of the cloud model ( ) ( , , )(1 ≤ ≤ ) of the performance characteristics is first calculated. Next, the relative preference relation between the cloud model and the mean is calculated using Formula (2). The importance of the performance characteristics is obtained and denoted as ( ( ) , ( )).…”

“…Made in China 2025 pointed out the acceleration of the coordinated development of manufacturing and service and the promotion of the transformation of production-oriented manufacturing to service-oriented manufacturing [1]. The product service system (PSS) is a production system with a high-degree integration of product and service [2]. The overall solution of "product + service" provided by the PSS can adapt to the strategic transformation from productionoriented manufacturing to service-oriented manufacturing.…”

“…Dai et al [8] formed a multidimensional demand classification system composed of the life cycle, supply chain, and characteristic dimensions through a comprehensive analysis of the demand characteristics, time, and space distribution. Sheng et al [2] took the PSS of the numerical control machine as the research object and established the customer demand model. Cao et al [9] constructed the customer preference model to analyze the customer demand.…”