علوم مهندسیمهندسی صنایع و مواد

Decision Support Systems: An Overview

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Decision Support Systems: 1 An Overview

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4 DSS Definitions = Little (1970) “model-based set of procedures for processing data and judgments to assist a manager in his decision making” Assumption: that the system is computer-based and extends the user’s capabilities. = Alter (1980) Contrasts DSS with traditional EDP systems (Table 3.1)

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‘TABLE 3.1 DSS versus EDP. Dimension DSS EDP Use Adive Passive User ‘Line and staff Clerical management, Goal Effectiveness Mechanical efficiency Time ‘Present and future Past Horizon Objective Flexibility Consistency للل+7لللل77ل_ل-(-لا-- هيج ‎Se‏

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= Moore and Chang (1980) 1. Extendible systems 2. Capable of supporting ad hoc data analysis and decision modeling 3. Oriented toward future planning A. Used at irregular, unplanned intervals = Bonczek et al. (1980) A computer-based system consisting of 1. A language system -- communication between the user and DSS components 2. A knowledge system 3. A problem-processing system--the link between the other two components

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=" Keen (1980) DSS apply “to situations where a ‘final’ system can be developed only through an adaptive process of learning and evolution” =" Central Issue in DSS support and improvement of decision making

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TABLE 3.2 Concepts Underlying DSS Definitions. Source DSS Defined in Terms of Garry and Scott Morton [1971] _ Problemtype, system function upport) Little [1970] System function, interface Alter [1980] Usage pattem, system objectives Moore and Chang [1960] Usage pattem, system capabilities Bonczak, et al. [1996] System components Keen [1980] Development process

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Working Definition of DSS = A DSS is an interactive, flexible, and adaptable CBIS, specially developed for supporting the solution of a non-structured management problem for improved decision making. It utilizes data, it provides easy user interface, and it allows for the decision maker’s own insights = DSS may utilize models, is built by an interactive process (frequently by end-users), supports all the phases of the decision making, and may include a knowledge component

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Characteristics and Capabilities of 5 . Provide support in semi-structured and unstructured situations, includes human judgment and computerized information . Support for various managerial levels . Support to individuals and groups . Support to interdependent and/or sequential decisions . Support all phases of the decision-making process . Support a variety of decision-making processes and styles . Are adaptive . Have user friendly interfaces (ease o fuse) . Goal: improve effectiveness of decision making 10. The decision maker controls the decision-making process 11. Refinement of system 12. End-users can build simple systems 13. Utilizes models for analysis 14, Provides access to a variety of data sources, formats, and types (knowledge) ۲ تچ نب خر ۵ هات مه قي

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Characteristics and Capabilities of 4 As. ‘Semi- 2 100 0000 ‏ا‎ ‎a ‎eam ‎52 5 = ‏سس‎ ‎aoe or sequential wae Se | ‘decisions oo ‏ا‎ ‏تسم م‎ Ettectweness, | 8 ‏جعي‎ ‏يوه‎ Ease flexibility. FIGURE 9.1. The Ideal Characteristics and Capabilities of DSS.

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Major Benefits of DSS Support the solution of complex situation Fast response to unexpected situation Ability to try several different strategies under different configuration, quickly and objectively New insight and learning Facilitated communication Improved management control and performance Cost saving Objective decision Improve managerial effectiveness Improved productivity of analysts

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11 ma DSS Components 1. Data Management Subsystem 2. Model Management Subsystem 3. Knowledge-based (Management) Subsystem 4. User Interface Subsystem (Dialog mngt)

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12 DSS Components Other computer-based systems Data Model management management Ny Knowiedge ۱ menage Dialog management | Manager (user} 7 Data; external and internat 1 ا -

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The Data Management Subsystem DSS database Collection of interrelated data organized corresponds to the needs and structure of an organization Can be used by more one person for than one apllication Database management system = Database created, accessed and updated by a DBMS. = Function : storage, retrieval, control Data directory = Catalog of all the data in the database Query facility = Elements that provide the basis for access to data 13

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The Data Management Subsystem سس ‎‘sources Finance | | Marketing‏ — اسموست ‎a‏ ‏0 ‎amy ep: | Onsen ampere‏ ‎aa na‏ 1 3 تسد ود رن ‎ee are‏ ‎sam‏ ۳ ‎Data ۰ tnquiry management‏ ‎directory ["—*] + Update‏ ‎Samed‏ ‏ع ‎isi‏

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DSS Database Issues Data warehouse Data mining Special independent DSS databases Extraction of data from internal, external, and private sources Web browser data access Web database servers Multimedia databases Special GSS databases (like Lotus Notes / Domino Server) Online Analytical Processing (OLAP) = Object-oriented databases Commercial database management systems (DBMS) 16

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The Model Management tem Model base = Contains routine and special statistical, financial, management science and other quantitative models that provide the analysis capabilities in DSS = Model base management system = Software system with functions: = model creation, using subroutines and other building blocks = Generation new routines and reports = Model updating and changing = Data manipulation =" Modeling language Model directory = Catalog of all models in the model base Model execution, integration, and command processor 17

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18 Management + Strotegic, tactical, operational ‘* Statistical, financial, marketing, management science, accounting, engineering, etc. ‘+ Model building blocks ‘+ Modeling commands: creation ‘+ Maintenance—update + Database interface * Modeling language Dialog Knowledge management| | management | The Model Data management

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4 Model Management Issues Model level: Strategic, managerial (tactical), and operational =" Modeling languages = Lack of standard MBMS activities. WHY? " Use of AI and fuzzy logic in MBMS 19

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he Knowledge Based (Management) stem = Provides expertise in solving complex unstructured and semi- structured problems = Expertise provided by an expert system or other intelligent system = Advanced DSS have a knowledge based (management) component = Leads to intelligent DSS = Example: Data mining

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The User Interface (Dialog) tem = Includes all communication between a user and the MSS =" Graphical user interfaces (GUI) = Voice recognition and speech synthesis possible = To most users, the user interface is the system 5 ۲

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Dialog management Data Management || Knowledge | | Mode! Management 5000605 | {Management| | ۵۵ ع ‎oes‏ User

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The User Different usage patterns for the user, the manager, or the decision maker = Managers " Staff specialists = Intermediaries 1. Staff assistant 2. Expert tool user 3. Business (system) analyst 4. GSS Facilitator 23

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DSS Hardware Evolved with computer hardware and software technologies Major Hardware Options Mainframe Workstation Personal computer Web server system = Internet = Intranets = Extranets 24

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4 Classification of DSS Data-oriented vs model oriented (Alter, 1980) = Institusional vs Ad Hoc DSS (Donovan & Madnick, 1977) = Degree of Nonprocedurality (Bonczek, et al, 1980) = Personal, Group and Organizational Support (Hackathorn & Keen, 1981) = Individual vs Group DSS = Custom-made vs ready-made system

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مس ‎Caan oe‏ لت سوه 2 0 ‎a‏ ‎Sogn‏ | 3 سحي ال | مدا [ 1۷925 تمیق 5 سس م 0 ا ل و د م ‎Seam Seen‏ ‎aoa‏ ‏ادا وا ,= Co User [External Data] ors Characcenstics oes and Fees مسج و مس وس بو و 3 Personal Data Executive Preferences ‘teods Towerd Fisk Big Picture of DSS

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