Energy trade market effect on production scheduling: an Industrial Product-Service System (IPSS) approach

2021 ◽  
pp. 1-19
Author(s):  
Dimitris Mourtzis ◽  
N. Boli ◽  
E. Xanthakis ◽  
K. Alexopoulos
Keyword(s):  
Production Scheduling ◽  
Service System ◽  
Industrial Product ◽  
Product Service System ◽  
Market Effect ◽  
Product Service ◽  
Energy Trade ◽  
Trade Market

Machining capacity measurement of an industrial product service system for turning process

2011 ◽  
Vol 225 (3) ◽  
pp. 336-347
Author(s):  
Q Q Zhu ◽  
P Y Jiang
Keyword(s):  
Cutting Tool ◽  
Service System ◽  
Cutting Parameters ◽  
Multivariate Regression Analysis ◽  
Industrial Product ◽  
Time Interval ◽  
Capacity Measurement ◽  
Product Service System ◽  
Measurement Models ◽  
Product Service

Machining capacity measurement is of great importance in an industrial product service system for turning processes (TP-iPSS) owing to its roles in TP-iPSS evaluation, accounting, and optimization. In this paper, the concepts of potential machining capacity (MCp), real machining capacity (MCr), and total machining capacity (MCt) are presented. As for a configured TP-iPSS whose lathe is given and determined, MCp is majorly influenced by the lathe's attachments, especially the cutting tool, MCr is majorly correlative with cutting parameters (cutting depth, cutting velocity and feed) and workpiece properties besides parameters of cutting tool. Combining different cutting tool with the TP-iPSS, different MCp and potential machining area ( Ap) can be obtained, then the measurement models of MCp and Ap are established through using multivariate regression analysis, and MCr is calculated with the product of MCp and the ratio of Ap to Ar (real machining area). In addition, MCt in a time interval can be calculated with the sum of MCr in the time interval. Finally, a case is studied to demonstrate the MCp, MCr, and MCt models and their basic applications to TP-iPSS evaluation, accounting, and optimization.

scholarly journals Research on Designing an Industrial Product-Service System with Uncertain Customer Demands

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Fei Zhang ◽  
Liecheng Jia ◽  
Weizhen Han
Keyword(s):  
Clustering Algorithm ◽  
Service System ◽  
Industrial Product ◽  
Integration Scheme ◽  
Product Service System ◽  
Product Service ◽  
Function Domain ◽  
Whole Life Cycle ◽  
Ap Clustering ◽  
Customer Demands

The industrial product-service system (iPSS) is a kind of system engineering methodology, integration scheme, and business model to realize service value by adding intangible services in the whole life cycle. However, the design of the system involves many difficulties such as uncertain customer demands, strong subjectivity of the experience design, and long debugging times. Methods for solving upper problems are therefore essential. This paper presents a design model that integrates an improved affinity propagation (AP) clustering algorithm, quality function development (QFD), and axiomatic design (AD). The entire process of designing an iPSS can be split into three steps. First, uncertain customer demands is determined and standardized. Second, the functions of the product-service system are investigated. Finally, the structures of the system are determined. This paper examines the example of the control service of an iPSS for a water heater tank capping press. An improved AP clustering algorithm is used to determine standardized customer demands, the proposed QFD, and an AD integration model to initially establish a mapping between the customer demands domain and the function domain and clarify the design focus. Next, a QFD- and AD-integrated model is constructed to establish a mapping between the function domain and the structure domain and optimize the control scheme through the quality of its risk prediction. Finally the paper verifies that the upper process and methods can guide the design process effectively in production applications.

Which industrial product service system fits best?

2009 ◽  
Vol 20 (5) ◽  
pp. 640-653 ◽  
Author(s):  
Mario Rese ◽  
Wolf‐Christian Strotmann ◽  
Markus Karger
Keyword(s):  
Service System ◽  
Industrial Product ◽  
Product Service System ◽  
Product Service
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