Intelligent Management Information System

2010 ◽  
pp. 329-356
Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Management Information System ◽  
Management Information ◽  
Intelligent Decision ◽  
Development Direction ◽  
Human Decision ◽  
Intelligent Management

The Intelligent Management Information System (IMIS) has the potential to transform human decision making by combining research in Artificial Intelligence, Information Technology, and Systems Engineering. The field of Intelligent Decision Making (IDM) is expanding rapidly, due in part to advances in artificial intelligence and networkcentric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to the human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. It is the development direction of modern management science and technology. In this chapter, firstly we introduce the introduction and background of IMIS, and briefly, the related design conception. Subsequently, the Intelligent Decision Support System (IDSS) is depicted, which is the most significant technology of IMIS and related activities in the manufacturing process. The applications of IDSS and two cases for industrial manufacturing are then presented, representing the future development direction of manufacturing management. Lastly, a summary of this chapter is given. IMIS researchers and technologists have built and investigated Decision Support Systems (DSS) for more than 35 years. The developments in DSS began with building model-oriented DSS in the late 1960s which were followed by theory developments in the 1970s, and the implementation of financial planning systems and Group DSS in the early and mid-1980s. During the mid-1980s, Intelligent DSS were implemented through combining knowledge systems with DSS. These developments are discussed below, as well as the origins of Executive Information Systems, On-line Analytical Processing (OLAP), Business Intelligence, and the implementation of Web-based DSS in the mid-1990s, which quickly became a topic for active discussion, and whose influence spread widely.

Effectivness of Health Information System Applications: Clinical Information and Diagnosis-Treatment Systems in Turkey

2017 ◽  
Vol 5 (1) ◽  
pp. 122
Author(s):  
Assist. Prof. Dr. Demokaan DEMİREL
Keyword(s):  
Decision Making ◽  
Information System ◽  
Information Systems ◽  
Management Information System ◽  
Health Sector ◽  
Health Information System ◽  
Clinical Information ◽  
Clinical Decision ◽  
Clinical Information Systems ◽  
Management Information

The distinctive quality of the new social structure is that information becomes the only factor of production. In today's organizations, public administrators are directly responsible for applying information to administrative processes. In addition to his managerial responsibilities, a knowledge based organization requires every employee to take responsibility for achieving efficiency. This has increased the importance of information systems in the decision-making process. Information systems consist of computer and communication technology, data base management and model management and include activity processing system, management information system, decision support systems, senior management information system, expert systems and office automation systems. Information systems in the health sector aim at the management and provision of preventive and curative health services. The use of information systems in healthcare has the benefits of increasing service quality, shortening treatment processes, maximizing efficiency of the time, labour and medical devices. The use of information systems for clinical decision making and reducing medical errors in the healthcare industry dates back to the 1960s. Clinical information systems involve processing, storing and re-accessing information that supports patient care in a hospital. Clinical information systems are systems that are directly or indirectly related to patient care. These systems include electronic health/patient records, clinical decision support systems, nurse information systems, patient tracking systems, tele-medicine, case mix and smart card applications. Diagnosis-treatment systems are information-based systems used in the diagnosis and treatment of diseases. It consists of laboratory information systems, picture archiving and communication system, pharmacy information system, radiology information system, nuclear medicine information system. This study aims to evaluate the effectiveness of health information system applications in Turkey. The first part of the study focuses on the concept of information systems and the types of information systems in organization structures. In the second part, clinical information systems and applications for diagnosis-treatment systems in Turkey are examined. Finally, the study evaluates applications in the health sector qualitatively from the new organizational structure, which is formed by information systems.

Decision Making for Energy Management in Smart Grid

2019 ◽  
pp. 264-297
Author(s):  
Vira Shendryk ◽  
Olha Boiko ◽  
Yuliia Parfenenko ◽  
Sergii Shendryk ◽  
Sergii Tymchuk
Keyword(s):  
Decision Making ◽  
Information System ◽  
Smart Grid ◽  
Energy Management ◽  
Management Information System ◽  
Information Technologies ◽  
Information Flows ◽  
Management Information ◽  
Microgrid Energy Management ◽  
Planning And Operation

The chapter discusses the problem of energy management in Smart MicroGrid. The strategies of Smart MicroGrid energy management and objectives of Smart MicroGrid operation have been analyzed. The chapter emphasizes the potential of information technologies implementation to achieve energy management goals and provide a description of energy management information system which is used for MicroGrid planning and operation. The information flows which are used for making decision on Smart MicroGrid energy management have been analyzed.

scholarly journals KONSEP DASAR DAN LANGKAH-LANGKAH DALAM PENGEMBANGAN SISTEM INFORMASI MANAJEMEN

2019 ◽  
Author(s):  
Dina febiyola
Keyword(s):  
Decision Making ◽  
Information System ◽  
Management Information System ◽  
System Analysis ◽  
Decision Making Process ◽  
Management Information ◽  
Literature Study ◽  
Organization Management ◽  
Present Information ◽  
Implementation Stage

The purpose of this study is to find out how the step to develop management information system. In this article, researchers ute the literature study method. Management Information System is a human / machine system that is integrated to present information to suppor the operational functions of the organization, management, and decision-making process whitin an organization. The steps in its development are conducting the system investigation stage, the system analysis stage, the system design stge, and the system implementation stage.

scholarly journals METODE ANALYTICAL HIERARCHY PROCESS (AHP) DALAM PEMILIHAN BUDIDAYA IKAN LAUT (STUDI KASUS PADA BALAI PERIKANAN BUDIDAYA LAUT (BPBL) BATAM)

Jursima ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 60
Author(s):  
Zainul Munir Munir
Keyword(s):  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Management Information System ◽  
Management Information ◽  
Hierarchy Process

Sistem  Pendukung  Keputusan  (SPK)  atau  dikenal  dengan  Decision  Support    System  (DSS), pada  tahun  1970-an  sebagai  pengganti  istilah  <em>Management    Information  System</em>  (MIS).  Batam  merupakan  pulau  kaya  raya,  dimana  mempunyai  laut  yang  terdapat  ikan  melimpah ruah.  Penelitian  ini bertujuan  merancang  sistem  penunjang  keputusan  untuk  budidaya  ikan  laut  dengan  pendekatan metode  Analytical  Hierarchy  Process  (AHP),  sehingga  dapat  membantu  nelayan  dalam  memilih ikan  yang  mudah  dibudidayakan. Tahapan  penelitian  ini  yaitu  menetapkan  alternatif-alternatif dan  kriteria  dalam  sebuah  sistem  penunjang  keputusan  untuk  budidaya  ikan  laut. Dalam  hal budidaya  ikan  laut,  ada  beberapa  kriteria  dan  alternatif  agar  menjadi  ekonomis  dan menguntungkan,  antara  lain  kriteria  jenis  ikan  dan  alternatif-alternatif  yaitu  PH  air,  Jumlah Pakan,  Suhu,  dan  luas  keramba. Tahapan  yang  dilakukan  yaitu  menghitung  bobot  kriteria  mencari  normalisasi  matrik  setiap  bobot dan  kriteria,  mengecek  konsistensi  dengan  cara  mengitung  konsistensi  setiap  langkah-langkah yang  akan  dilakukan,  maka  kriteria  atau  jenis  ikan  yang  dibudidaya  akan  mendapatkan  nilai bobot  tertinggi,  selanjutnya  akan  dilakukan  perbandingan  setiap  kriteria  dan  alternatif-alternatif, Hasil  yang  didapatkan  adalah  nilai  bobot  dari    masing-masing  alternatif  yang  dirangking  dari tertinggi  sampai  terendah.  Hasil  nilai  alternatif  budidaya  ikan  yang  telah  diberi  rangking  tersebut dapat  digunakan  sebagai  pendukung  keputusan  dalam  menentukan  budidaya  pemilihan  ikan terbaik  di  Balai  Perikanan  Budidaya  Laut  Batam.

scholarly journals Pengembangan Sistem Informasi Manajemen

2021 ◽  
Author(s):  
Nita Maharani Harahap
Keyword(s):  
Decision Making ◽  
Information System ◽  
Information Systems ◽  
Management Information System ◽  
Management Information Systems ◽  
Base Layer ◽  
Management Information ◽  
Precise Information ◽  
Increase Productivity ◽  
Incorrect Information

The Management Information System is a series of information subsystems that cover thewhole and have been arranged in an integrated manner that is able to move data so that itbecomes information through several ways to increase productivity similar to the model andnature of managers on the basis of predetermined criteria. The management informationsystem is defined as a pyramid building whose base layer is information then followed by anexplanation, status explanation, and so on. Management information systems rely heavily onelements that will produce an information system that suits their needs. imbalances that meetin an embodiment of these elements which will create a slightly incorrect information whichwill result in errors in every decision making in an organization or company. Therefore it isvery necessary to understand an understanding of the elements in a management informationsystem, especially operators that produce very accurate and precise information for a groupor company.

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