Resource Planning for the Installation of Industrial Product Service Systems

被引:14
作者
Alexopoulos, Kosmas [1 ]
Koukas, Spyros [1 ]
Boli, Nikoletta [1 ]
Mourtzis, Dimitris [1 ]
机构
[1] Univ Patras, Dept Mech Engn & Aeronaut, Lab Mfg Syst & Automat, Patras 26500, Greece
来源
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: THE PATH TO INTELLIGENT, COLLABORATIVE AND SUSTAINABLE MANUFACTURING | 2017年 / 514卷
基金
欧盟地平线“2020”;
关键词
Industrial Product Service Systems (IPSS); Resource planning; Decision making; DESIGN;
D O I
10.1007/978-3-319-66926-7_24
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In product-oriented Industrial Product Service Systems (IPSSs) the customers benefit from the combination of a product which offers some functionalities and a set of services. IPSS supports the provision of services which can be offered by the product manufacturer. The services can offer a wide range of functionalities that can range from ensuring the product's original functionality to augmenting the original functionality of the product. The shifting of a company to IPSS poses many challenges such as the changing of the company's business model. One of the most important challenges for the establishment of IPSS is the appropriate planning of the resources for production, deployment, and installation into the customers' site. However, companies that provide IPSS solutions are lacking the proper tools for resources' planning in a dynamic environment. In this work, a multi-criteria resource planning method and tool for optimizing the production, delivery, and installation of IPSS is presented. The proposed solution generates alternative IPSS's production and installation plans and evaluates them on performance measures for production and installation such as time and cost. Moreover, through the integration of the planning tool with the IPSS design phase, information for generating the Bill of Process and Materials is presented. The planning tool has been designed using the Software-as-a-Service (SaaS) approach and has been applied and validated in a pilot case from the laser cutting industry.
引用
收藏
页码:205 / 213
页数:9
相关论文
共 18 条
[1]  
Bagheri S., 2015, CUSTOMER KNOWLEDGE M, P3
[2]  
Chryssolouris G., 1992, International Journal of Flexible Manufacturing Systems, V4, P309, DOI 10.1007/BF01324885
[3]  
Chryssolouris G., 1985, Annals of the CIRP, V34, P413, DOI [10.1016/S0007-8506(07)61801-0, DOI 10.1016/S0007-8506(07)61801-0]
[4]   Planning of manufacturing networks using an intelligent probabilistic approach for mass customised products [J].
Doukas, M. ;
Psarommatis, F. ;
Mourtzis, D. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 74 (9-12) :1747-1758
[5]   Adaptable design [J].
Gu, P ;
Hashemian, M ;
Nee, AYC .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2004, 53 (02) :539-557
[6]  
Jain A.S., 1998, A state-of-the-art review ofjob-shop scheduling techniques
[7]   Robust capacity planning for the delivery of Industrial Product-Service Systems [J].
Lagemann, Henning ;
Meier, Horst .
2ND CIRP ROBUST MANUFACTURING CONFERENCE (ROMAC 2014), 2014, 19 :99-104
[8]   Towards a new collaborative framework supporting the design process of industrial Product Service Systems [J].
Maleki, Elaheh ;
Belkadi, Farouk ;
Zhang, Yicha ;
Bernard, Alain .
ADVANCES ON MECHANICS, DESIGN ENGINEERING AND MANUFACTURING, 2017, :139-146
[9]   An Integrated Collaborative Platform for managing Product-Service across their Life Cycle [J].
Matsas, Markos ;
Pintzos, George ;
Kapnia, Anna ;
Mourtzis, Dimitris .
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE IN THROUGH-LIFE ENGINEERING SERVICES, 2017, 59 :220-226
[10]   Agile scheduling and control for industrial product-service systems [J].
Meier, H. ;
Uhlmann, E. ;
Raue, N. ;
Dorka, T. .
EIGHTH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING, 2013, 12 :330-335