China
Africa
Explore chapters and articles related to this topic
General introduction
Published in Adedeji B. Badiru, Handbook of Industrial and Systems Engineering, 2013
IDEF is a suite of modeling languages developed in the 1970s from the US Air Force Integrated Computer-Aided Manufacturing program that leveraged computer technology to increase manufacturing productivity (Menzel and Meyer, 2006). IDEF uses a hierarchical decomposition approach to systematically break higher-level activities into manageable functions. Each function can be represented using one or more inputs, controls (constraints under which the function operates), outputs, and mechanisms (resources that are available for the function). IDEF has been used to model a blood transfusion process (Staccini et al., 2001), simulation of patient safety hazards (Jin et al., 2006), mapping a radiotherapy process (Mutic et al., 2010), community health service information (Yang et al., 2012), care processes within a hospital (Staccini et al., 2005), and emergency department performance improvement (Ismail et al., 2010).
Concepts of In-Process Measurement and Control
Published in Stephan D. Murphy, In-Process Measurement and Control, 2020
Figure 1.1 shows an IDEF (ICAM definition, where “ICAM” is integrated computer-aided manufacturing) model which represents the basic process and the basis for in-process control. In order to produce a part, raw material is required, a resource such as a machine tool is needed to effect the process, and something to describe quantitatively the amount of material to be removed—the part drawing or data from the drawing—is required. Normally, the engineering function of the manufacturing facility assures that the tooling design is done in such a way as to minimize changeover time for a new part and minimize operating loading variability. In some cases there may be an engineering trade-off between speed of changeover and the amount of variability in loading.
Process management
Published in John Oakland, Marton Marosszeky, Total Quality in the Construction Supply Chain, 2006
John Oakland, Marton Marosszeky
More than 25 years ago, the US Airforce adopted ‘Integration Definition Function Modelling’ (IDEF-0), as part of its Integrated Computer-Aided Manufacturing (ICAM) architecture. The IDEF-0 modelling language, now described in a Federal Information Processing Standards Publication (FIPS PUBS), provides a useful structured graphical framework for describing and improving business processes. The associated ‘Integration Definition for Information Modelling’ (IDEF-1X) language allows the development of a logical model of data associated with processes, such as measurement.
Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system
Published in International Journal of Production Research, 2019
Qiang Liu, Hao Zhang, Jiewu Leng, Xin Chen
Conventional MSD study usually focuses on the system modelling aspect. Typical modelling methods used in the MSD include Axiomatic Design (AD) (Suh 1995), Graph with Results and Actions Interrelated (GRAI) (Guy 1989), Structured Analysis and Design Technique (SADT) (Santarek and Buseif 1998), Integrated computer-aided manufacturing DEFinition (IDEF) (Cheng-Leong, Pheng, and Leng 1999), EXPRESS-G/STEP-CNC (Xu, Wang, and Rong 2006) and Petri Net (Li, Dai, and Meng 2009). Moreover, integration modelling with other techniques such as virtual reality, data envelopment analysis, fuzzy logic, multi-agent systems and complex network analytics (Leng and Jiang 2018) are found as emerging ways. For instance, Yang et al. (2015) presented a collaborative design platform for manufacturing systems, which enables a holistic use of virtual factory tools at various levels. Cochran, Foley, and Bi (2017) followed the principles of manufacturing system design decomposition to make effective cost and production system design decisions. These modelling-based methods mainly focus on the definitions of functional requirements, design parameters and process flow of a manufacturing system, which provide solid theoretical foundation to generate and evaluate design solutions of manufacturing systems. However, little attention has been devoted to the coupling relationship among different elements, and no single model is suitable for addressing all types of problems in MSD.
Enterprise systems’ life cycle in pursuit of resilient smart factory for emerging aircraft industry: a synthesis of Critical Success Factors’(CSFs), theory, knowledge gaps, and implications
Published in Enterprise Information Systems, 2018
Asif Rashid, Tariq Masood, John Ahmet Erkoyuncu, Benny Tjahjono, Nawar Khan, Muiz-ud-din Shami
ES/ERP is a development from the philosophy of computer-integrated manufacturing (CIM) (Gunasekaran et al. 1994; Gunasekaran and Thevarajah 1997). The emerging automation requirements for 21st centenary is a spin-off of US Air Force’s (USAF) integrated computer-aided manufacturing (ICAM) project (USAF, Command et al. 1981). The CIM is an umbrella term used for automation of factory, machines, information, method, processes, product-development, and latent functional-domains for optimum human–computer interaction. The ES-CSFs has two distinct research approach or perspectives, the Process-(life cycle)-approach (Markus et al. 2000a), (Somers and Nelson 2004) and the Variance-(factor)-approach (Robey and Ross et al. 2002), which are discussed in subsequent subsection.
The effectiveness of an integrated BIM/UAV model in managing safety on construction sites
Published in International Journal of Occupational Safety and Ergonomics, 2020
Sepehr Alizadehsalehi, Ibrahim Yitmen, Tolga Celik, David Arditi
IDEF0 is an acronym for ICAM definition for function modeling, where ICAM stands for integrated computer aided manufacturing [75]. IDEF0 is a methodology that can describe manufacturing functions such as safety practices, and that allows for the development, analysis and integration of systems such as BIM and UAVs [76]. The proposed model represents a safety management model for construction sites. The model is described schematically as an IDEF0 diagram. As seen in Figure 4, the model illustrates the relationship between the design (planning) and construction (implementation) phases. The boxes in Figure 4 describe the safety monitoring processes.