scholarly journals IoT-Driven Workflows for Risk Management and Control of Beehives

Diversity ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 296
Author(s):  
Charbel Kady ◽  
Anna Maria Chedid ◽  
Ingred Kortbawi ◽  
Charles Yaacoub ◽  
Adib Akl ◽  
...  

The internet of things (IoT) and Industry 4.0 technologies are becoming widely used in the field of apiculture to enhance honey production and reduce colony losses using connected scales combined with additional data, such as relative humidity and internal temperature. This paper exploits beehive weight measurements and builds appropriate business rules using two instruments. The first is an IoT fixed scale installed on one hive, taking rich continuous measurements, and used as a reference. The second is a portable nomad scale communicating with a smartphone and used for the remaining hives. A key contribution will be the run and triggering of a business process model based on apicultural business rules learned from experience and system observed events. Later, the evolution of the weight of each individual hive, obtained by either measurement or inference, will be associated with a graphical workflow diagram expressed with the business process model and notation (BPMN) language, and will trigger events that inform beekeepers to initiate relevant action. Finally, the BPMN processes will be transformed into executable models for model driven decision support. This contribution improves amateur and professional user-experience for honeybee keeping and opens the door for interoperability between the suggested model and other available simulations (weather, humidity, bee colony behavior, etc.).

Author(s):  
Luis Oliverio Chaparro Lemus

Resumen Los Sistemas de Gestión de Procesos de Negocio (BPMS) tienen por objetivo facilitar la actividad empresarial, permitiendo el control automatizado de los procesos de las organizaciones. Sin embargo, no es deseable que los modelos de proceso de negocio, generados por estos BPMS, incluyan las reglas de negocio dentro de sí. Esto representa un serio problema para la modularidad y flexibilidad del modelo, pues cuando se requiere modificar una regla que se usa en distintos puntos del modelo, es necesario modificar el modelo en todos los puntos donde se utilice la regla. En este artículo se hace una propuesta para separar las reglas de negocio del modelo de proceso y manejarlas de forma independiente mediante un motor de reglas de negocio. Esto implica guardar las reglas de negocio en un repositorio que controla un motor de reglas de negocio y una técnica para invocar la regla desde el modelo. Con este trabajo se hace un aporte al mejoramiento del diseño de los actuales BPMS que se traduciría en modelos de negocios muy flexibles y modulares. Palabras Claves:Regla de negocio, Motor de Reglas de Negocio, Proceso de Negocio, Modelo de Proceso de Negocio, Suite de Gestión de Procesos de Negocio (BPMS).   Abstract Systems Business Process Management (BPMS) are intended to facilitate business, allowing automated control of the processes of organizations. However, it is not desirable that the business process models generated by these BPMS, business rules included within. This presents a serious problem for modularity and flexibility of the model, because when you want to change a rule that is used in different parts of the model, it would be necessary to change the model at all points where the rule is used. In this paper a proposal to separate business from process model and manage it independently using a business rules engine is done. This involves keeping the business rules in a repository that controls a business rules engine and a technique to invoke the rule from the model. This paper is a contribution to improving the design of existing BPMS that would result in highly flexible business models and modular. Keywords: Business Ruler, Business Process Engine, Business Process, Business Process Model, Business Process Management System (BPMS).


2019 ◽  
Vol 16 (2) ◽  
pp. 657-688 ◽  
Author(s):  
Drazen Brdjanin ◽  
Danijela Banjac ◽  
Goran Banjac ◽  
Slavko Maric

Existing approaches to business process model-driven synthesis of data models are characterized by a direct synthesis of a target model based on source models represented by concrete notations, where the synthesis is supported by monolithic (semi)automatic transformation programs. This article presents an approach to automated two-phase business process model-driven synthesis of conceptual database models. It is based on the introduction of a domain specific language (DSL) as an intermediate layer between different source notations and the target notation, which splits the synthesis into two phases: (i) automatic extraction of specific concepts from the source model and their DSL-based representation, and (ii) automated generation of the target model based on the DSL-based representation of the extracted concepts. The proposed approach enables development of modular transformation tools for automatic synthesis of the target model based on business process models represented by different concrete notations. In this article we present an online generator, which implements the proposed approach. The generator is implemented as a web-based, service-oriented tool, which enables automatic generation of the initial conceptual database model represented by the UML class diagram, based on business models represented by two concrete notations.


2015 ◽  
Vol 38 (3) ◽  
pp. 21
Author(s):  
Scot Ausborn ◽  
Julia Rotondo ◽  
Tim Mulcahy

Mapping the General Social Survey to the Generic Statistical Business Process Model: NORC's Experience


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