Requirements and Concept for a Manufacturing Service Management and Execution Platform for Customizable Products

2013 ◽  
Author(s):  
Ursula Rauschecker ◽  
Matthias Stöhr ◽  
Daniel Schel
Keyword(s):  
Flexible Manufacturing ◽  
Service Management ◽  
Cloud Manufacturing ◽  
Use Cases ◽  
It Infrastructure ◽  
Production Networks ◽  
Special Regard ◽  
Execution Platform ◽  
Manufacturing Resources ◽  
Internet Marketplace

Cloud manufacturing provides solutions for a number of tasks concerning the integration of manufacturing resources and production networks. Through it, new possibilities also arise for increasing product individualization. The paper describes how cloud manufacturing concepts allow an Internet marketplace to be established for flexible manufacturing services, which can be used to provide customized products. To do this, first of all use cases related to an appropriate IT infrastructure are analyzed with special regard to the management of manufacturing services which are used to represent manufacturing resources from a technical, financial, logistical, and contractual perspective. Furthermore, requirements on the platform which have to be fulfilled during execution of manufacturing services in a manufacturing cloud are explained and concepts and an architecture for realization of both are described.

Feature-Based Adaptive Manufacturing Equipment Control for Cloud Environments

2016 ◽  
Author(s):  
Göran Adamson ◽  
Lihui Wang ◽  
Magnus Holm ◽  
Philip Moore
Keyword(s):  
Resource Sharing ◽  
Service Management ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Manufacturing Equipment ◽  
Control Approach ◽  
Function Block ◽  
Feature Based ◽  
Cloud Environments ◽  
Manufacturing Resources

The ideas of on-demand, scalable and pay-for-usage resource-sharing in Cloud Manufacturing are steadily attracting more interest. For implementing the concept of Manufacturing-as-a-Service in a cloud environment, description models and implementation language for resources and their capabilities are required. A standardized approach for systemized virtualization, servisilisation, retrieval, selection and composition into higher levels of functionality is necessary. For the collaborative sharing and use of networked manufacturing resources there is also a need for a control approach for distributed manufacturing equipment. In this paper, the technological perspective for an adaptive cloud service-based control approach is described, and a supporting information model for its implementation. The control is realized through the use of a network of intelligent and distributable Function Block decision modules, enabling run-time manufacturing activities to be performed according to actual manufacturing conditions. The control system’s integration to the cloud service management functionality is described, as well as a feature-level capability model and the use of ontologies and the Semantic Web.

Hypergraph-Based Modeling of Manufacturing Services in Cloud Manufacturing

2017 ◽  
Author(s):  
Meng Yu ◽  
Wenjun Xu ◽  
Jiwei Hu ◽  
Zude Zhou ◽  
Duc Truong Pham
Keyword(s):  
Product Life Cycle ◽  
Service Management ◽  
Job Shop ◽  
Cloud Manufacturing ◽  
Proposed Model ◽  
Manufacturing Resources ◽  
Resources And Capabilities ◽  
Level Process ◽  
Process Level

Cloud manufacturing (CMfg) aims to realize the full-scale sharing, free circulation and transaction, and on-demand use of various manufacturing resources and capabilities in the form of manufacturing services. During the whole product life-cycle, the number of manufacturing services is huge, and services are highly dynamic and changeful. Without the effective operation and technical support of manufacturing service management, the implementation and aim of CMfg could not be achieved. In this paper, a multi-layer model of manufacturing service is proposed for a job shop in cloud manufacturing, in order to solve the description problem of different manufacturing services from different level view, e.g. machine level, process level and shop level. Consequently, a hypergraph-based network model of manufacturing service is developed, so as to facilitate the management of different services during the whole production process in job shop. A case study and some applications of the proposed model for supporting the manufacturing services management to practical manufacturing system are studied, to demonstrate the feasibility and efficiency of such model.

scholarly journals Multi-Objective Service Selection and Scheduling with Linguistic Preference in Cloud Manufacturing

2019 ◽  
Vol 11 (9) ◽  
pp. 2619 ◽  
Author(s):  
Wei He ◽  
Guozhu Jia ◽  
Hengshan Zong ◽  
Jili Kong
Keyword(s):  
Service Management ◽  
Service Selection ◽  
Cloud Manufacturing ◽  
Multiple Objectives ◽  
Second Phase ◽  
Time Cost ◽  
Two Phase ◽  
Preference Information ◽  
Multi Objective ◽  
Service Selection And Scheduling

Service management in cloud manufacturing (CMfg), especially the service selection and scheduling (SSS) problem has aroused general attention due to its broad industrial application prospects. Due to the diversity of CMfg services, SSS usually need to take into account multiple objectives in terms of time, cost, quality, and environment. As one of the keys to solving multi-objective problems, the preference information of decision maker (DM) is less considered in current research. In this paper, linguistic preference is considered, and a novel two-phase model based on a desirable satisfying degree is proposed for solving the multi-objective SSS problem with linguistic preference. In the first phase, the maximum comprehensive satisfying degree is calculated. In the second phase, the satisfying solution is obtained by repeatedly solving the model and interaction with DM. Compared with the traditional model, the two-phase is more effective, which is verified in the calculation experiment. The proposed method could offer useful insights which help DM balance multiple objectives with linguistic preference and promote sustainable development of CMfg.

Research on Mass Manufacturing Resource Sensory Data Management Based on Hadoop

2016 ◽  
Vol 693 ◽  
pp. 1880-1885 ◽  
Author(s):  
Kai Kai Su ◽  
Wen Sheng Xu ◽  
Jian Yong Li
Keyword(s):  
Distributed Storage ◽  
Cloud Manufacturing ◽  
Distributed File System ◽  
Service Platform ◽  
Sensory Data ◽  
Computing Model ◽  
Hadoop Distributed File System ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Management Method

Aiming at the management issue of mass sensory data from the manufacturing resources in cloud manufacturing, a management method for mass sensory data based on Hadoop is proposed. Firstly, characteristics of sensory data in cloud manufacturing are analyzed, meanings and advantages of Internet of Things and cloud computing are elaborated. Then the structure of the cloud manufacturing service platform is proposed based on Hadoop, the information model of manufacturing resources in cloud manufacturing is defined, and the data cloud in the cloud manufacturing service platform is designed. The distributed storage of mass sensory data is implemented and a universal distributed computing model of mass sensory data is established based on the characteristics of Hadoop Distributed File System (HDFS).

Cloud Manufacturing Resource Management Based on Metadata

2015 ◽  
Author(s):  
Chun Zhao ◽  
Lin Zhang ◽  
Xuesong Zhang ◽  
Liang Zhang
Keyword(s):  
Resource Management ◽  
Cloud Manufacturing ◽  
State Monitoring ◽  
Knowledge Resources ◽  
Centralized Management ◽  
Service Oriented ◽  
Manufacturing Resources ◽  
Resource Data ◽  
Manufacturing Platform ◽  
Management Approaches

Centralized management and sharing of manufacturing resources is one of the important functions of cloud manufacturing platform. There are many kinds of manufacturing resources, centralized management, optimized scheduling, quick searching for various manufacturing resources become important issues in a cloud manufacturing platform. This paper presents a resource management model based on metadata to realize the access and unified management of the hardware resources, software resources and knowledge resources. Two management approaches respectively for static and dynamic resource data are introduced to realize resource state monitoring and real-time information collecting. On this basis, the relationship between static and dynamic data is determined and service-oriented of resources is realized.

Research on Modeling Technology of Virtual Resources Cloud Pool for Group Enterprises Based on Ontology

2013 ◽  
Vol 347-350 ◽  
pp. 3287-3291
Author(s):  
Yun Xia Wang ◽  
Zhi Liang Wang ◽  
Cheng Chong Gao
Keyword(s):  
Cloud Manufacturing ◽  
Computation Method ◽  
Case Based Reasoning ◽  
Cnc Machine Tool ◽  
Cnc Machine ◽  
Modeling Technology ◽  
Manufacturing Resources ◽  
Similarity Computation ◽  
Virtual Resources ◽  
Group Enterprises

To realize cloud manufacturing (CMfg) production in group enterprises, manufacturing resources and modeling technologies of cloud pool were studied. According to the characteristics of group enterprises, manufacturing resources were analyzed and classified into human, equipment, materials, cooperation resources and so on. Then, the realization method which manufacturing resources mapped into virtual resources was researched, and a layer platform for cloud manufacturing was proposed. Taking CNC machine tool as an example, the ontology model was built with Semantic Web and OWL based on ontology theory. Finally, using semantic similarity computation method and case-based reasoning, the virtual resources were intelligent searched and matched so that manufacturing resources can realize unification, sharing and reuse.

Sign in / Sign up

Export Citation Format

Share Document