Systematic method for big manufacturing data integration and sharing

Defining one product data for a product

“…This is because once product design phase is completed, much of the master data cannot be changed from the SC perspective. Material management Component data Siddiqui et al, 2004;Tao et al, 2017;Terzi et al, 2010;Xiang et al, 2017) Geometrical-dependent data: dimensions Terzi et al, 2010;Johansson and Medbo, 2004) Geometrical and material data: weight, sharpness, handling requirements Johansson and Medbo, 2004) Material data: sensitivity to surface material, dust and temperature, ecological impact, inflammable/explosive Tao et al, 2017) Others: electrostatic discharge (ESD), identifiable, liable to theft Product structure groups Johansson and Medbo, 2004;Tao et al, 2017) Component variants (interchangeable component in different variants) (Johansson, 2007;Johansson and Medbo, 2004) Parts materials and generic item data (Li et al, 2011) Parts batch and number, craft parts information (Li et al, 2011) Production Methods…”

“…(Kropsu-Vehkapera, 2012; Kropsu-Vehkapera and Tao et al, 2017;Xiang et al, 2017) Assembly and parts manufacturing methods, component assembling process (Li et al, 2011) Final producing methods, processing equipment, tooling (Li et al, 2011) Parts, computer-aided process planning, parts processing operations, parts assembly sequences (Li et al, 2011) (Fujimoto et al, 2003) Production outline and plan, production type, working hours (Li et al, 2011) Manufacture resource and workshop (Li et al, 2011) Delivery Packing instructions: compliance and document requirements, package identification marking (Baghdadi, 2014;Kropsu-Vehkapera, 2012;Kropsu-Vehkapera and Haapasalo, 2011) Information on shipping lot size and guidance for pickup (Baghdadi, H4: SC-related product data has considerable impact on master data, which highlights the importance of early inclusion of SC requirements in NPD. The importance of SC process related product data is emphasised by the product master data directly linking to the execution of various vital processes.…”

“…Service levels (Ala-Risku, 2009) Instructions for troubleshooting, testing and system set-ups (Kropsu-Vehkapera, 2012;Kropsu-Vehkapera and Haapasalo, 2011) Secure access to information for local contracting partners (Saaksvuori and Immonen, 2008) User privileges and information security (second sources product specifications data etc.) (Saaksvuori and Immonen, 2008;Stark, 2004) Customer service documentation/information (Li et al, 2011;Saaksvuori and Immonen, 2008) Customer's product structures (Li et al, 2011;Saaksvuori and Immonen, 2008) Item bill of materials (BOMs) for material orders, spare parts, remote maintenance, technical support (Ala-Risku, 2009;Saaksvuori and Immonen, 2008) Spare part manual (Saaksvuori and Immonen, 2008) Technical manuals (Pham et al, 1999;Stark, 2004) Sales or delivery project documents for modernisations (Ala-Risku, 2009) Accessories sales information (Li et al, 2011) Product documents and manuals for technical support (Ala-Risku, 2009) Maintenance handling tools and needed skills (Stark, 2004) Field data management (Stark, 2004) Maintenance plans, warranty issues (Ala-Risku, 2009;Stark, 2004) Performance data maintenance for preventive maintenance plan (Stark, 2004) Software correction packages and information on new software releases (Kropsu-Vehkapera, 2012; Kropsu-Vehkapera and Change information for products and supporting infrastructure (Kropsu-Vehkapera, 2012; Kropsu-Vehkapera and Information about the versions of manufactured and delivered products (Saaksvuori and Immonen, 2008) original equipment manufacturer, manufacturing data, bills of materials, operational conditions, usage plans (Ala-Risku, 2009) Prior service data (Ala-Risku, 2009;Xiang et al, 2017) H5: Product data relevant to the service and care process covers product installation and the care and repair life-cycle. It highlights the importance of providing up-to-date data to support service and care transactions.…”

A new knowledgeable encapsulation method of steel production scheduling model

“…With the application of knowledge engineering, intelligent modeling and human–computer interaction can improve the reusability of scheduling model. 16–19…”

“…With the application of knowledge engineering, intelligent modeling and human-computer interaction can improve the reusability of scheduling model. [16][17][18][19] The scheduling modeling based on knowledge engineering used the knowledge to solve the problems. In the agent of steel scheduling, Liu et al 20 proposed a digital twin agent driven by cyber-physical systems and realized the scheduling model dynamic construction.…”