Process Warehouse Research Articles

Diagnóstico de las estrategias empleadas en producción de las bodegas de aceituna en la región sur del Perú año 2020

El tema de Investigación se desarrolla en el sector olivícola, principal actividad económica de la region Tacna; la cual ha experimentado importantes fluctuaciones de producción las mismas han obedecido a aspectos internos (Bajos niveles de productividad, diversificación de productos, entre otros ) y externos (increment de producción de los países competidores a través incentivos, optimizando procesos con equipos que agilizan la producción y politicas de comercialización (Inteligencia Comercial)). El sector olivícola al conformarse como una actividad importante para la Región y observer las fluctuaciones negativas y el contexto en el cual se encuentra el sector, motiva para que se realice el mencionado trabajo de investigacion en tres etapas: Primera Etapa: Diagnóstico de las Bodegas de procesamiento de aceituna; las cuales estan inmersas en la Asociación de Productores de la Yarada y los Palos que procesan y comercializan aceituna de mesa. Segunda Etapa: En función al diagnóstico de las Bodegas y considerando las exigencias del mercado internacional se evalúa la aplicación de la producción limpia y su implicancia en el manejo de efluentes. La aplicación de la Producción Limpia se hará referencia a la metodología de la “Guía para la Implementación de la Producción más Limpia” (GP 900.200:2007) la misma que se elaborado por el Comité Técnico de Normalización de Gestión Ambiental, Sub Comité de Producción Más Limpia según R.0052-2007/INDECOPI-CRT. Publicada el 2007-06-20. Tercera Etapa: Por ultimo, se identificará una empresa representativa que este implementando la metodología de la Producción Limpia para analizar sus implicacias en diferentes ambitos económico, financiero, ambiental, etc. En tal sentido, en el presente articulo cientifico se enfocará a la primera etapa del trabajo de investigacion. En esta Primera Parte se concluye: La gestión administrative debe mantener, fortalecer y mejorar los procesos productivos en las bodegas de la Asociación de Productores y Comercializadores de Aceituna de Yarada y los Palos, es fundamental para que se garantice continuidad de una producción en función a las exigencies sanitarias, fitosanitarias, ambientales y de calidad para insertarse de manera eficiente en el comercio exterior y pueda responder a las exigencies del Mercado interno sobre todo de los importantes grupos retail del país con la finalidad de mejorar su rentabilidad y posición financiera.

PRANAS: A Process Analytics System Based on Process Warehouse and Cube for Supply Chain Management

Most organizations need to monitor and assess their business activities. In order to support the performance analysis of the business activities in a more systematic manner, in this research, we introduce a PRocess ANalytics System, called PRANAS. The system adopts process warehouses and process cubes to support process-oriented analysis, as well as data-oriented analysis. In this research, the process warehouse and cube were designed to assess business performances for supply chain management, specifically under the SCOR standard models. Furthermore, the process cube was constructed based on process-related dimensions such as time, case type, and event class to support process mining. Finally, we exemplify how the system can be applied to process analytics with three use cases of process discovery, data analytics, and decision point analysis. It is expected that the proposed system can be a helpful reference model when business process analyst designs process analytics systems in the process-oriented perspective, as well as in the data-oriented perspective.

Effect of delayed cob drying on maize (Zea mays L.) seed vigor

Maize seed vigor was affected by its processing stage. The process must be continue from one stage to another. Delayed one stage in seed processing will affect its vigor. The research aims to study effect of delayed cob drying to maize seed vigor. The research was carried out in Bajeng Experimental Farm and seed laboratory of Indonesian Cereal Research Institute, from February 2018 until April 2019. Bisma and Provit A1 of OPV was used and after harvest, the unhusk cob were store in the processing warehouse and treated by, 0 (immediately drying), 8, 12, 16, 20, 24 days delayed drying. After drying, seeds were store in the room temperature (26-32°C) for one year with observation period every two months. The treatments were arranged using completely randomized design with three factors; varieties, duration of delayed cob drying, and duration of seeds store. Observation were recorded data of seed moisture content, germination, germination rate dry weight, root and shoot length, root and shoot dry weight, electrical conductivity of seed soaking water. The results showed that delayed cob drying significantly affect its seed moisture content, germination percentage, germination rate, root length, shoot length, electrical conductivity of seed soaking water. Delayed cob drying until 24 days were significantly decrease its seed moisture content by 17.5% on Bisma and decreased 17.6% on Provit A1. Delayed cob drying until 12 days could maintain high vigor seeds in term of conductivity leakage value which lower than 25 μS cm−1g−1.

Methods of structural analysis of business processes

The article outlines selected methods for analyzing business processes: their definitions and instances. The methods for analytical processing of processes constitute a component of the Business Intelligence environment - process warehouses, including methods for analytical processing and exploration of the collected process definitions and instances - i.e. process mining. One of the main elements of the analysis of processes is to determine the similarity between them. In systems for analyzing large sets of elements, the method of determining similarity should be efficiency because is the basis for others analysis methods, e.g. clustering, classification, etc. A method for analyzing structural similarity of business processes, based on the similarity of sequences of genetic tags of such processes, was presented using the similarity analysis methods based on the editing distance and the developed methods of structural similarity: GNM, DNM, GCM, DCM. The presented similarity methods were used to clustering processes and to determine the central element of the cluster. The developed methods form the basis for the development of similarity methods extended to aspects of semantic similarity of business processes and methods of analysis and exploration of processes.

ABOUT DATA MODELING SUBJECT DOMAINS PRACTICE-ORIENTED DIRECTION FOR UNIVERSAL SYSTEM OF STORAGE AND PROCESSING DATA

This article describes data modeling for practice-oriented subject domains they are basis of general data model for data warehouse creation. Describes short subject domains characteristic relationship to different types of any human activities at the current time. Offered appropriate data models, considered relationship between them as data processing and data warehouse creation, which can be built on information data storage technology and which has some characteristics as extensible complex subject domain, data integration, which get from any data sources, data time invariance with required temporal marks, relatively high data stability, search necessary compromises in data redundancy, system blocks modularity, flexibility and extensibility of architecture, high requirements to data storage security. It’s proposed general approach of data collection and data storage, appropriate data models, in the future, will integrate in one database scheme and create generalized scheme of data warehouse as type «constellation of facts». For getting of data models applies structural methodology and consider general principles of conceptual design. Using complex system, which can work with some information sources and represent data in convenient view for users will in-demand for analysis data selected subject domains and determination of possible relationships.

PEMANFAATAN FASILITAS TEMPAT PENDARATAN IKAN

This study was carried out at Merbau district fishing port. Purpose of this study is to know type, capacity and optimalization of utilizing level on fishing port’s facilities by survey method. The survey result showed, the available facilities at Merbau district fishing port is jety, manuver area, heigbour, dolphin, fish processing warehouse, base camp and fishing gear warehouse, Capacity and optimalization of utilizing level were 13.37 and 7.48% respectively. Meanwhile, the water depth of manuver area was 0.7 m and optimalization of utilizing level was 140%. Capacity of heigbour was 84,03 kg, with optimalization of utilizing level was 11.9%.

Analytical processing system of business processes, methods of exploration of business process definitions and instances

The article tackles the topics related to systems, methods and mechanisms for storing process definitions and instances for the purpose of their analytical processing - process warehouses and general architecture of such process warehouses, including tools allowing their extract, transform, load (ETL) as well as analytical processing and exploration of stored process definitions and instances - i.e. the process mining. Furthermore, the article describes a mechanism for storing processes, with the use of a network database, and one of the methods for researching into similarities of the processes through the tagging of generic processes.

Process Oriented Data Virtualization Design Model for Business Processes Evaluation(PODVDM) Research in Progress

During process enactment in the business process management (BPM) lifecycle, information collected on execution plans are stored in the form of log files and database tables by using information systems (IS). In the past decade, a new approach based on the applications of Business Intelligence (BI) in business process management has emerged. The approach implements process-oriented data warehouse and mining techniques. However, the main issue is providing the right information at the right time to facilitate process evaluation that can be used for performance analysis and improve business process. Existing techniques have limitations, including huge data in database log files, performance of Process Warehouse (PW), which is highly dependent on specific design), complexity of PW design, lack of convergence between business processes and PW specifications, and the need for real data during process evaluation stage. Objects such as processes, storage, and data repositories can be virtualized to address these limitations. The main aim of this study is to propose a process-oriented data virtualization design model for process evaluation in BPM. The model will be validated through expert reviews and prototype development as well as through a case study. In this paper, we describe the research motivation, questions, approach, and methodology related to addressing the described limitations by designing a model for evaluation in business processes using the Data Virtualization technique.

제조협업 성과분석을 위한 협업 프로세스 웨어하우스 개발

Most manufacturing companies participate in various types of active collaboration to enhance competitive advantages in their arenas. In this paper, we introduce a data warehouse system that is designed for manufacturing collaboration. Just as enterprise information systems, collaboration support systems also need functions of performance measurement and monitoring. For this reason, we devise a new approach to measuring and evaluating performance of manufacturing collaboration. Specifically, we first present a concept of process warehouses for manufacturing collaboration. Next, we design a data schema of collaborative process warehouses to store and monitor collaboration performances. Finally, we implement a prototype system to support performance management of manufacturing collaboration. The proposed system can be used to effectively maintain and continuously improve collaboration in manufacturing industry.

Process warehouses in practice: a goal‐driven method for business process analysis

SUMMARYProcess analysis and improvement, one of the core phases in the business process management life cycle, is reaching the top of the agenda for many enterprises and organizations. An emerging approach to analyzing business processes involves the use of process‐oriented data warehouses to collect information about executed processes to enable their detailed analysis and thereby provide bases for possible improvements. However, very little work has been carried out on employing business orientation in the design and utilization of a process warehouse. The approach presented in this study addresses that limitation by proposing a method that relates business goals to the information from the warehouse. To do so, we start by defining a desired goal structure that concerns an existing business process. The obtained goal model is firstly utilized for scoping and designing a corresponding data model for a process warehouse, and further for retrieving the information from the warehouse to examine the fulfillment of the goals of interest. The key benefits of the proposed method are the provision of the relevant and accurate business process information as well as tracing the process‐related goals to the process execution data and further to the analysis of the process. As validation of the proposed method, we develop a prototype, and a healthcare process is used as an illustrative example. Also, to demonstrate the method quality, we perform an experiment on the effectiveness of the information access and retrieval. Copyright © 2011 John Wiley & Sons, Ltd.

Special issue on business process lifecycle: design, deployment, operation and evaluation

Keywords: Business Process ; Lifecycle ; Deployment Reference EPFL-ARTICLE-176301doi:10.1002/smr.559View record in Web of Science Record created on 2012-04-19, modified on 2017-05-12

Virtual enterprise — Information system and networking solution

The term “virtual enterprise” has been used in articulating the strategy for the 21 st century global manufacturing enterprises. One of the key requirements is to develop an Information System infrastructure to integrate and control the interoperability of the distributed, heterogeneous and concurrent systems in the participating organizations. This article presents an innovative Information System infrastructure and it's Networking Solution to help describing global information technology support for inter-organizational enterprises with the background of modern information and communication technology. Three types of technology are focused on: Data warehouse, Process warehouse and Intranet/Extranet. A project of a “Plug-and-Play” Virtual Enterprise is also presented.

Morphological Comparisons between Two Species of Blattella (Dictyoptera: Blattellidae)

Asian, Blattella asahinai Mizukubo, and German cockroaches, Blattella germanica (L.), exhibit behavioral differences but are morphologically similar. Rcently, the Asian cockroach, has been introduced into Florida; it lives indoors and outdoors, is moving northward, and is a potential vector of disease. The German cockroach is cosmopolitan, lives indoors, has been found in food processing firms and warehouses, and is a known vector of disease. It has become a necessity in the food and pest control industry to differentiate between Asian and German cockroaches. A proper method of extermination may be developed by determining the species. The morphological differences in 4 body structures (left mandible, right tegmen, hind-wings, and cerci) that may be used to differentiate the 2 species are presented.

An Inter-Organizational Information System Infrastructure for Extended (or Virtual) Enterprises

Abstract The terms “extended enterprise” and “virtual enterprise” have been used in articulating the 21 st century global manufacturing enterprise strategy. One of the key requirements is to develop an Information System (IS) infrastructure to control the interoperability of the distributed, heterogeneous and concurrent systems in the participating organizations. This article presents an innovative IS infrastructure to help describing global information technology support for these inter-organizational enterprises with the background of modem information and communication technology. Three types of technology are focused on: Data warehouse, Process warehouse and Intranet/Extranet.