Size-dependent behaviour of functionally graded sandwich microbeams based on the modified couple stress theory

Abstract Static bending, buckling and free vibration behaviours of size-dependent functionally graded (FG) sandwich microbeams are examined in this paper based on the modified couple stress theory and Timoshenko beam theory. To avoid the use of a shear correction factor, equilibrium equations were used to compute the transverse shear force and shear stress. Two types of sandwich beams were considered: (1) homogeneous core and FG skins and (2) FG core and homogeneous skins. Numerical results were presented to illustrate the small scale effects on the behaviours of FG sandwich beams. The results reveals that the inclusion of the size effects results in an increase in the beam stiffness, and consequently, leads to a reduction of deflections and stresses and an increase in natural frequencies and critical buckling loads. Such effects are more pronounced when the beam depth was small, but they become negligible with the increase of the beam depth

Semantic business process management: a vision towards using semantic web services for business process management

Business process management (BPM) is the approach to manage the execution of IT-supported business operations from a business expert's view rather than from a technical perspective. However, the degree of mechanization in BPM is still very limited, creating inertia in the necessary evolution and dynamics of business processes, and BPM does not provide a truly unified view on the process space of an organization. We trace back the problem of mechanization of BPM to an ontological one, i.e. the lack of machine-accessible semantics, and argue that the modeling constructs of semantic Web services frameworks, especially WSMO, are a natural fit to creating such a representation. As a consequence, we propose to combine SWS and BPM and create one consolidated technology, which we call semantic business process management (SBPM

Hybrid process modelling within business process management projects

Business Process Management (BPM) is still an important research topic amongst both academics and businesses. The recent recession has forced businesses to focus on cost control and efficiency in order to better cope with the economic downturn. Many companies in this situation turn to BPM software as a means of improving their efficiency and costs by reducing aspects of the business such as process lead-times and material costs. In order to identify areas of the business and its processes which require changing the business will most likely adopt a method of modelling their business processes. Because of the large number of available techniques decision makers usually struggle to decide the best approach. Recent literature has also pointed out that prevalent modelling techniques are designed to serve one specific purpose and may not be capable of modelling the whole picture. The key relationship between the information systems and the human behaviour is one example of where existing techniques are biased towards opposite ends of the scale. This paper proposes the use of a hybrid modelling notation composed of multiple existing notations in order to bridge this. The hybrid notation was applied to a BPM project at a company in the construction industry and a case study conducted with its users

Autonomous Agents for Business Process Management

Traditional approaches to managing business processes are often inadequate for large-scale organisation-wide, dynamic settings. However, since Internet and Intranet technologies have become widespread, an increasing number of business processes exhibit these properties. Therefore, a new approach is needed. To this end, we describe the motivation, conceptualization, design, and implementation of a novel agent-based business process management system. The key advance of our system is that responsibility for enacting various components of the business process is delegated to a number of autonomous problem solving agents. To enact their role, these agents typically interact and negotiate with other agents in order to coordinate their actions and to buy in the services they require. This approach leads to a system that is significantly more agile and robust than its traditional counterparts. To help demonstrate these benefits, a companion paper describes the application of our system to a real-world problem faced by British Telecom

Google matrix of business process management

Development of efficient business process models and determination of their characteristic properties are subject of intense interdisciplinary research. Here, we consider a business process model as a directed graph. Its nodes correspond to the units identified by the modeler and the link direction indicates the causal dependencies between units. It is of primary interest to obtain the stationary flow on such a directed graph, which corresponds to the steady-state of a firm during the business process. Following the ideas developed recently for the World Wide Web, we construct the Google matrix for our business process model and analyze its spectral properties. The importance of nodes is characterized by Page-Rank and recently proposed CheiRank and 2DRank, respectively. The results show that this two-dimensional ranking gives a significant information about the influence and communication properties of business model units. We argue that the Google matrix method, described here, provides a new efficient tool helping companies to make their decisions on how to evolve in the exceedingly dynamic global market.Comment: submitted to European Journal of Physics

ANALISA JBPM (BUSINESS PROCESS MANAGEMENT) SEBAGAI GENERATOR KODE BERDASARKAN BISNIS PROSES (ANALYSIS OF JBPM (BUSINESS PROCESS MANAGEMENT) AS CODE GENERATOR BASED ON BUSINESS PROCESS)

ABSTRAKSI: Penetapan suatu proses bisnis, merupakan langkah awal dalam pembangunan sebuah aplikasi. Pada tahap selanjutnya diikuti oleh pembuatan modeling berdasarkan Business Process Management (BPM) dan mengimplementasikannya dengan meng-generate kode program sesuai bahasa pemrogramannya. Pada proses meng-generate kode program, dalam perkembangannya tidak hanya dapat di generate oleh developer atau programmer namun dapat dilakukan secara otomatis oleh sebuah BPMS (Business Process Management System) yaitu jBPM (java Business Process Management).Pada jbpm-jpdl-3 mendukung 8 fungsionalitas untuk mengimplementasikan model yang sudah ada menjadi aplikasi siap pakai. Seorang bisnis analis dapat secara langsung menggunakan beberapa fungsionalitas seperti State, Fork, Join, Node dan Task Node untuk meng-generate kode secara otomatis. Sedangkan fungsionalitas lainnya seperti Decsion, Process State dan Super State seorang bisnis analis harus bekerja sama dengan developer atau programmer agar dapat meng-generate aplikasi secara optimal/sesuai yang diharapkan.Kata Kunci : Bisnis Proses, JBPM, Generator KodeABSTRACT: Determination of business process is first of state for develop application. The next state is make modeling use Business Process Management (BPM) and then implementation with generate code program according to language programming. In generate process code program, now not only can be generate by developer or programmer but also can be doing according to automate by the BPMS (Business Process Management System) that is jBPM (java Business Process Management).In jbpm-jpdl-3.2.GA support 8 functionality to implementation from modeling to application ready to use. A business analyst can be direct use some of functionality that is : State, Fork, Join, Node and Task Node. And the other functionality that is Decision, Process State and Super State, a business analyst must be cooperation with developer or programmer so that generate application with optimal.Keyword: Business Process, JBPM, Code Generato

Business process management

This article describes the key benefits of using business process management and the most common business process modeling techniques

Interaction-driven definition of e-business processes

Business-to-business interaction (B2Bi) is the next step for corporate IT [1]. Business relationships become increasingly dynamic, and new requirements emerge for data and process management. Standardisation initiatives are successfully targeting business ontology [4]. Still, business agility mainly depends on the flexibility of the business processes of a company. In the B2B space, traditional approaches to process modelling and management are inadequate. Today more than ever, traditional workflow management is crucial for the internal effectiveness of a company. Internal efficiency is a prerequisite for external agility. From both a technical and a business perspective, internal workflow management relies on specific assumptions in terms of resources involved in the process, as well as the process itself [2]. Level of control, availability, reliability, and cost stability are parameters that traditional process models and technology can almost take for granted. A single authority ruling on the process definition and the total control over process execution are also basic concepts for internal workflows. From a business perspective, a big upfront investment is put in the complete definition of process specifications. A different conceptual framework is required for the definition and management of e-business processes [3, 5]. The intrinsic capability to adapt to rapidly changing business requirements becomes crucial. The line of research explored in this paper derives from an approach to process modelling and management that explicitly targets the peculiarities and dynamics of B2Bi. In the model we propose, the upfront specification of the interaction logic of a company can be limited to partially specified processes and basic interaction rules. Specific information is then gathered from the observation of actual instances of business interaction, and used to refine and extend the initial model. In addition to the enforcement of explicit business requirement, the goal is to capture and leverage implicit operational knowledge. In the following sections, we present an overview of the methodology we are currently experimenting with for the inference of complex processes from business interaction flows. For our initial experiments, we focus on business messages compliant with the RosettaNet standard [4]