Enabling Vendor Diversifiable Enterprise Integration

Author(s):  
Lloyd Rebello

Without effective architectural oversight, enterprises risk stifling their ability to innovate, because vendor products are too tightly woven into their key business processes, which impedes the evolution of their technology environment in support of business needs. Vendors gain negotiation leverage due to monopoly on the technology that supports key enterprise processes and capabilities. The goal of this chapter is to provide practical guidance on business flexibility advantages through carefully managed vendor diversification options for enterprises that are implementing Service-driven applications and integration solutions. The approach presented in this chapter recommends adherence to four basic principles, namely, owning the ability to control delivery channels and integration, compartmentalizing concepts into fulfillment roles in the Service-driven enterprise, using a vendor agnostic enterprise service interface, and owning the key data. The dual reinforcing concepts of ownership and control underpin the vendor diversification opportunities. A reference architecture is presented that distills these principles into a conceptual model that can be applied to any enterprise. A real world transportation and logistics business enterprise integration project is used as an example to illustrate the advantages of using vendor agnostic principles in a Service-driven environment.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Steven Gross ◽  
Katharina Stelzl ◽  
Thomas Grisold ◽  
Jan Mendling ◽  
Maximilian Röglinger ◽  
...  

PurposeProcess redesign refers to the intentional change of business processes. While process redesign methods provide structure to redesign projects, they provide limited support during the actual creation of to-be processes. More specifically, existing approaches hardly develop an ontological perspective on what can be changed from a process design point of view, and they provide limited procedural guidance on how to derive possible process design alternatives. This paper aims to provide structured guidance during the to-be process creation.Design/methodology/approachUsing design space exploration as a theoretical lens, the authors develop a conceptual model of the design space for business processes, which facilitates the systematic exploration of design alternatives along different dimensions. The authors utilized an established method for taxonomy development for constructing the conceptual model. First, the authors derived design dimensions for business processes and underlying characteristics through a literature review. Second, the authors conducted semi-structured interviews with professional process experts. Third, the authors evaluated their artifact through three real-world applications.FindingsThe authors identified 19 business process design dimensions that are grouped into different layers and specified by underlying characteristics. Guiding questions and illustrative real-world examples help to deploy these design dimensions in practice. Taken together, the design dimensions form the “Business Process Design Space” (BPD-Space).Research limitations/implicationsPractitioners can use the BPD-Space to explore, question and rethink business processes in various respects.Originality/valueThe BPD-Space complements existing approaches by explicating process design dimensions. It abstracts from specific process flows and representations of processes and supports an unconstrained exploration of various alternative process designs.


Author(s):  
Sargis Galstyan ◽  
Karlos Margaryan

This article is a scientific research, where are highlighted such issues as effective management and control of the financial resources. Taking as a basis international experience and own approaches, we offer some solutions, which can significantly contribute to the improvement of the business processes within an organization. In particular, giving businesses the right to operate more freely by reducing administrative impact, and automating various processes within the organization will enable the transition from resource-intensive management to resource-saving management, which in the long run will improve organization’s competitiveness in both domestic and foreign markets. In this article the authors also refer to the system of cost normalizations within The Eurasian Economic Union (EAEU) member states, revealing the gaps in some legislative acts and provisions, and suggesting the use of alternative mechanisms.


2010 ◽  
Vol 20 (3) ◽  
pp. 100-105 ◽  
Author(s):  
Anne K. Bothe

This article presents some streamlined and intentionally oversimplified ideas about educating future communication disorders professionals to use some of the most basic principles of evidence-based practice. Working from a popular five-step approach, modifications are suggested that may make the ideas more accessible, and therefore more useful, for university faculty, other supervisors, and future professionals in speech-language pathology, audiology, and related fields.


2007 ◽  
Vol 158 (8) ◽  
pp. 235-242 ◽  
Author(s):  
Hans Rudolf Heinimann

The term «precision forestry» was first introduced and discussed at a conference in 2001. The aims of this paper are to explore the scientific roots of the precision concept, define «precision forestry», and sketch the challenges that the implementation of this new concept may present to practitioners, educators, and researchers. The term «precision» does not mean accuracy on a small scale, but instead refers to the concurrent coordination and control of processes at spatial scales between 1 m and 100 km. Precision strives for an automatic control of processes. Precision land use differs from precision engineering by the requirements of gathering,storing and managing spatio-temporal variability of site and vegetation parameters. Practitioners will be facing the challenge of designing holistic, standardized business processes that are valid for whole networks of firms,and that follow available standards (e.g., SCOR, WoodX). There is a need to educate and train forestry professionals in the areas of business process re-engineering, computer supported management of business transactions,methods of remote sensing, sensor technology and control theory. Researchers will face the challenge of integrating plant physiology, soil physics and production sciences and solving the supply chain coordination problem (SCCP).


SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402110061
Author(s):  
Ana Maria Magalhães Correia ◽  
Clarissa Figueredo Rocha ◽  
Luiz Carlos Duclós ◽  
Claudimar Pereira da Veiga

This study proposes a management model by business processes for science parks based on the premises and concept of enterprise architecture (EA). The model offers integrating business processes with activities and information that can be generated by adopting customized information systems to meet the science parks’ needs. The proposed model’s main contributions included EA as a means for shaping and enabling reconfiguration through descriptions of the structures of business processes and information systems that connect these structures, forming business and information architecture frameworks. In association with these frameworks, the managers need to define a coherent set of patterns, policies, procedures, and principles that sustain the business processes integrated with the information systems. As a result of the study, this model can help management execute and control activities related to business processes in the parks through interaction and alignment with the information system intended to facilitate the execution. The model will also lead to greater agility and efficiency in these business processes, considering their specific nature and the relationship with the parks’ actors. As a practical contribution, knowledge of these processes aids the management of the parks in their drive for a competitive advantage by maintaining and developing their management models.


Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6672
Author(s):  
Rob Bemthuis ◽  
Maria-Eugenia Iacob ◽  
Paul Havinga

The sooner disruptive emergent behaviors are detected, the sooner preventive measures can be taken to ensure the resilience of business processes execution. Therefore, organizations need to prepare for emergent behaviors by embedding corrective control mechanisms, which help coordinate organization-wide behavior (and goals) with the behavior of local autonomous entities. Ongoing technological advances, brought by the Industry 4.0 and cyber-physical systems of systems paradigms, can support integration within complex enterprises, such as supply chains. In this paper, we propose a reference enterprise architecture for the detection and monitoring of emergent behaviors in enterprises. We focus on addressing the need for an adequate reaction to disruptions. Based on a systematic review of the literature on the topic of current architectural designs for understanding emergent behaviors, we distill architectural requirements. Our architecture is a hybrid as it combines distributed autonomous business logic (expressed in terms of simple business rules) and some central control mechanisms. We exemplify the instantiation and use of this architecture by means of a proof-of-concept implementation, using a multimodal logistics case study. The obtained results provide a basis for achieving supply chain resilience “by design”, i.e., through the design of coordination mechanisms that are well equipped to absorb and compensate for the effects of emergent disruptive behaviors.


Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2416
Author(s):  
Marina Dorokhova ◽  
Fernando Ribeiro ◽  
António Barbosa ◽  
João Viana ◽  
Filipe Soares ◽  
...  

The energy efficiency requirements of most energy-consuming sectors have increased recently in response to climate change. For buildings, this means targeting both facility managers and building users with the aim of identifying potential energy savings and encouraging more energy-responsible behaviors. The Information and Communication Technology (ICT) platform developed in Horizon 2020 FEEdBACk project intends to fulfill these goals by enabling the optimization of energy consumption, generation, and storage and control of flexible devices without compromising comfort levels and indoor air quality parameters. This work aims to demonstrate the real-world implementation and functionality of the ICT platform composed of Load Disaggregation, Net Load Forecast, Occupancy Forecast, Automation Manager, and Behavior Predictor applications. Particularly, the results obtained by individual applications during the test phase are presented alongside the specific metrics used to evaluate their performance.


Author(s):  
Meng Lyu ◽  
Xiaofeng Bao ◽  
Yunjing Wang ◽  
Ronald Matthews

Vehicle emissions standards and regulations remain weak in high-altitude regions. In this study, vehicle emissions from both the New European Driving Cycle and the Worldwide harmonized Light-duty driving Test Cycle were analyzed by employing on-road test data collected from typical roads in a high-altitude city. On-road measurements were conducted on five light-duty vehicles using a portable emissions measurement system. The certification cycle parameters were synthesized from real-world driving data using the vehicle specific power methodology. The analysis revealed that under real-world driving conditions, all emissions were generally higher than the estimated values for both the New European Driving Cycle and Worldwide harmonized Light-duty driving Test Cycle. Concerning emissions standards, more CO, NOx, and hydrocarbons were emitted by China 3 vehicles than by China 4 vehicles, whereas the CO2 emissions exhibited interesting trends with vehicle displacement and emissions standards. These results have potential implications for policymakers in regard to vehicle emissions management and control strategies aimed at emissions reduction, fleet inspection, and maintenance programs.


2013 ◽  
Vol 10 (4) ◽  
pp. 1585-1620 ◽  
Author(s):  
Verislav Djukic ◽  
Ivan Lukovic ◽  
Aleksandar Popovic ◽  
Vladimir Ivancevic

In this paper, we present an approach to development and application of domain-specific modeling (DSM) tools in the model-based management of business processes. The level of Model-to-Text (M2T) transformations in the standard architecture for domain-specific modeling solutions is extended with action reports, which allow synchronization between models, generated code, and target interpreters. The basic idea behind the approach is to use M2T transformation languages to construct submodels, client application components, and operations on target interpreters. In this manner, M2T transformations may be employed to support not only generation of target platform code from domain-specific graphical language (DSGL) models but also straightforward use of models and appropriate DSM tools as client applications. The applicability of action reports is demonstrated by examples from document engineering, and measurement and control systems.


PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245344
Author(s):  
Jianye Zhou ◽  
Yuewen Jiang ◽  
Biqing Huang

Background Outbreaks of infectious diseases would cause great losses to the human society. Source identification in networks has drawn considerable interest in order to understand and control the infectious disease propagation processes. Unsatisfactory accuracy and high time complexity are major obstacles to practical applications under various real-world situations for existing source identification algorithms. Methods This study attempts to measure the possibility for nodes to become the infection source through label ranking. A unified Label Ranking framework for source identification with complete observation and snapshot is proposed. Firstly, a basic label ranking algorithm with complete observation of the network considering both infected and uninfected nodes is designed. Our inferred infection source node with the highest label ranking tends to have more infected nodes surrounding it, which makes it likely to be in the center of infection subgraph and far from the uninfected frontier. A two-stage algorithm for source identification via semi-supervised learning and label ranking is further proposed to address the source identification issue with snapshot. Results Extensive experiments are conducted on both synthetic and real-world network datasets. It turns out that the proposed label ranking algorithms are capable of identifying the propagation source under different situations fairly accurately with acceptable computational complexity without knowing the underlying model of infection propagation. Conclusions The effectiveness and efficiency of the label ranking algorithms proposed in this study make them be of practical value for infection source identification.


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