A Technique For Timeliness Measurement In Information Manufacturing System (IMS)

Timeliness is one of the major dimensions in the field of data quality. Freshness or obsoleteness of data is determined by timeliness data quality dimension. Generally, timeliness is calculated by currency and volatility. Currency is calculated by age, delivery time and input time. On the other side, volatility of data is the duration of the validity of data. Currency and volatility of IMS depend on the factors like refreshment period, waiting period of data in the system, expiry time of the data and the query response time for query requests. Therefore, development a technique for measuring the timeliness of data in IMS is the purpose of this paper

Improvement of data quality with timeliness in information manufacturing system (IMS)

Nowadays in the digital world, organizations or enterprises like banks, hospitals, telecommunications or retail shops etc. has an information manufacturing system (IMS) for storing the organization’s data in digital format. Every day, a large quantity of data is manipulated (inserted, deleted and updated) to the information manufacturing system of those enterprises or organizations. To be successful, the IMS must maintain the data and transform it into useful information for decision makers or users. Much of the value will rest in the quality of the data, which may be divided into two classes; objective and time related. In seeking to maintain quality both these classes the completeness, accuracy and consistency of the data and the timeliness of the information generation may be required. As a further complication, Objective data quality class may not be independent. It could be dependent on timeliness of time related class. The main purpose of this research is the improvement of data quality with timeliness in IMS. This starts with observing the reasons for the change of objective data quality over time by using both theoretical and experimental data quality measurements. Novel approaches to ensuring the best possible information quality is developed and evaluated by observing the change of objective data quality scenario with timeliness in a purpose built IMS

Maintenance Knowledge Management with Fusion of CMMS and CM

Abstract- Maintenance can be considered as an information, knowledge processing and management system. The management of knowledge resources in maintenance is a relatively new issue compared to Computerized Maintenance Management Systems (CMMS) and Condition Monitoring (CM) approaches and systems. Information Communication technologies (ICT) systems including CMMS, CM and enterprise administrative systems amongst others are effective in supplying data and in some cases information. In order to be effective the availability of high-quality knowledge, skills and expertise are needed for effective analysis and decision-making based on the supplied information and data. Information and data are not by themselves enough, knowledge, experience and skills are the key factors when maximizing the usability of the collected data and information. Thus, effective knowledge management (KM) is growing in importance, especially in advanced processes and management of advanced and expensive assets. Therefore efforts to successfully integrate maintenance knowledge management processes with accurate information from CMMSs and CM systems will be vital due to the increasing complexities of the overall systems. Low maintenance effectiveness costs money and resources since normal and stable production cannot be upheld and maintained over time, lowered maintenance effectiveness can have a substantial impact on the organizations ability to obtain stable flows of income and control costs in the overall process. Ineffective maintenance is often dependent on faulty decisions, mistakes due to lack of experience and lack of functional systems for effective information exchange [10]. Thus, access to knowledge, experience and skills resources in combination with functional collaboration structures can be regarded as vital components for a high maintenance effectiveness solution. Maintenance effectiveness depends in part on the quality, timeliness, accuracy and completeness of information related to machine degradation state, based on which decisions are made. Maintenance effectiveness, to a large extent, also depends on the quality of the knowledge of the managers and maintenance operators and the effectiveness of the internal & external collaborative environments. With emergence of intelligent sensors to measure and monitor the health state of the component and gradual implementation of ICT) in organizations, the conceptualization and implementation of E-Maintenance is turning into a reality. Unfortunately, even though knowledge management aspects are important in maintenance, the integration of KM aspects has still to find its place in E-Maintenance and in the overall information flows of larger-scale maintenance solutions. Nowadays, two main systems are implemented in most maintenance departments: Firstly, Computer Maintenance Management Systems (CMMS), the core of traditional maintenance record-keeping practices that often facilitate the usage of textual descriptions of faults and actions performed on an asset. Secondly, condition monitoring systems (CMS). Recently developed (CMS) are capable of directly monitoring asset components parameters; however, attempts to link observed CMMS events to CM sensor measurements have been limited in their approach and scalability. In this article we present one approach for addressing this challenge. We argue that understanding the requirements and constraints in conjunction - from maintenance, knowledge management and ICT perspectives - is necessary. We identify the issues that need be addressed for achieving successful integration of such disparate data types and processes (also integrating knowledge management into the “data types” and processes)

A rule based approach to data certification - applying DQXML for system independent data certification

Many researchers and practitioners have been attracted to improve data quality due to its monumental importance as a key success factor. Mathematical and statistical models have been deployed to information systems to introduce constrain and transaction based mechanisms to prevent data quality related problems. Entire management of the process and roles involved in data generation has also been scrutinized. Vast amount of knowledge base progressed in this area are mostly limited from practical perspective. Quality related meta data is absent from most information systems. Neither process mapping nor data modelling provides sufficient provision to measure quality or certification of data in the information systems. Furthermore, on-going monitoring of data for quality conformance through a separate process is expensive and time consuming. Recognising this limitation and aiming to provide a practical-orient comprehensive approach, I propose a process centric quality focused solution incorporating data product quality, conformance monitoring and certification. I base my work on DQXML developed by Ismael Caballero and deploy rigour of design science to construct InfoGuard. InfoGuard consists of DQXML incorporating quality meta data and an independent data quality monitor that provides certification of data through a rule based process centric framework for on-going data quality monitoring

Timeliness of Materials on Reading Recommendation System

An improved fuzzy logic recommendation method named TFLRS is presented in this paper. The timeliness of reading materials is focused. The upload time of reading materials is attached as an important input parameter, and the numeric weights of input factors are further revised. The experiment result demonstrates that the recommendation ranking order of the latest and the out-of-date reading materials has obviously improved in comparison to the previous FLRS method. It solves the problem that the new reading materials cannot be timely discovered but the out-of-date reading materials always in the front of the recommendation ranking. The timeliness of reading materials effectively guarantees the user preferred newer materials are always at the higher level than the older materials in the recommendation ranking result and the accuracy of reading recommendation system has significantly improved

Operations research and computers

operational research

A holonic multi-agent methodology to design sustainable intelligent manufacturing control systems

[EN] The urgent need for sustainable development is imposing radical changes in the way manufacturing systems are designed and implemented. The overall sustainability in industrial activities of manufacturing companies must be achieved at the same time that they face unprecedented levels of global competition. Therefore, there is a well-known need for tools and methods that can support the design and implementation of these systems in an effective way. This paper proposes an engineering method that helps researchers to design sustainable intelligent manufacturing systems. The approach is focused on the identification of the manufacturing components and the design and integration of sustainability-oriented mechanisms in the system specification, providing specific development guidelines and tools with built-in support for sustainable features. Besides, a set of case studies is presented in order to assess the proposed method.This research was supported by research projects TIN2015-65515-C4-1-R and TIN2016-80856-R from the Spanish government. The authors would like to acknowledge T. Bonte for her contribution to the NetLogo simulator of the AIP PRIMECA cell.Giret Boggino, AS.; Trentesaux, D.; Salido Gregorio, MÁ.; Garcia, E.; Adam, E. (2017). A holonic multi-agent methodology to design sustainable intelligent manufacturing control systems. Journal of Cleaner Production. 167(1):1370-1386. https://doi.org/10.1016/j.jclepro.2017.03.079S13701386167

Business planning; Management advisory services practice aids. Small business consulting practice aid, 06

https://egrove.olemiss.edu/aicpa_guides/1082/thumbnail.jp

The development of an information management system at the Custodian of the Two Holy Mosques Institute of Hajj Research, Saudi Arabia

The main aim of the Two Holy Mosques Institute of the Hajj Research (CTHMIHR) is to establish an information resource about the pilgrimage to Makkah made by Muslims (Hajj) and services provided to them, which is one of the fifth pillar of Islam. In fact, that each Muslim should make the visit to Makkah at least once in his or her lifetime. When complete, this information resource will comprise a comprehensive scientific reference source that will provide factual evidence and anecdotes to assist in the planning of services and utilities required for the Hajj. Information management at CTHMIHR poses a number of problems; particularly in the rapid increase in the number of records (each individual making the Pilgrimage will have a record), duplication of records, disaggregated information throughout the Institute, and lack of information control. The Dean and Heads of Department are aware of these problems, but they cannot identify the root of the issues nor the people responsible for them. This research study aims to develop and implement an Information Management System (IMS) at CTHMIHR. This IMS would help staff and users to access information about the Hajj easily and more effectively at a time when it is needed. Soft Systems Methodology (SSM, mode 1) and Interpretive Structural Modelling (ISM) have been combined to develop a novel multi-methodology that has been applied to the problem issues exhibited within the CTHMIHR. The main reasons for combining methodologies (SSM and ISM) in this research study is to match the variety in the real world problem; situation at CTHMIHR, which is highly complex and multi-dimensional. SSM (Mode 1) was applied to discover and express the problem situation (Stages I and 2), to develop conceptual models (II separate systems are considered) and make comparisons with the real world (stages 2 and 5), and to study subsequent change (that is, change which is systemically desirable and culturally feasible) and then to take action to improve the problem situation (Stages 6 and 7). ISM was used to discover the relationships between these 11 systems in order to find a method of implementing them through interpretations with participants. Following implementation, both the staff development training system, which, in turn, will indicate the make-up of the staffing system, and the security system can be determined. When all of these are combined, the records management system can be described; this will indicate the design of the database management system, and consequently, this will satisfy user needs. Furthermore, the research study also suggests five types of change to improve the problem situation: structural, procedural, policy, attitudinal and cultural. The major findings of this research study are that CTHMIHR not only needs to develop clear information strategies, but it also needs to develop a system for strategic planning. In this way information strategies to establish an information resource about Hajj can be formulated