ABSOLUTE: AN INFORMATION VISUALIZATION SYSTEM FOR DECISION SUPPORT IN SOURCING

2002 ◽  
Vol 02 (01) ◽  
pp. 1-20 ◽  
Author(s):  
JUHNYOUNG LEE
Keyword(s):  
Decision Support ◽  
Information Visualization ◽  
Business Environment ◽  
General Purpose ◽  
Visualization System ◽  
Data Manipulation ◽  
Decision Making Problem ◽  
Complex Decision Making ◽  
Direct Data ◽  
Complex Decision

ABSolute is a general-purpose, multi-dimensional decision support system which has a highly sophisticated visualization-based user interface for direct data manipulation. The interface and analysis facilities of this system enable the users to effectively view, explore, search, compare and classify data items to make discoveries, decisions or explanations about patterns, groups of items, or individual items with the highest level of confidence and knowledge. The usefulness of this system is demonstrated in solving a complex decision-making problem in a business environment: a bid evaluation and selection problem in corporate procurement using a RFQ (Request-For-Quotes) process.

scholarly journals Integration of AHP and GTMA to Make a Reliable Decision in Complex Decision-Making Problems: Application of the Logistics Provider Selection Problem as a Case Study

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 766
Author(s):  
Danijela Tuljak-Suban ◽  
Patricija Bajec
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Third Party ◽  
Selection Problem ◽  
New Method ◽  
Analytic Hierarchy ◽  
Decision Making Problem ◽  
Network Process ◽  
Complex Decision Making ◽  
Complex Decision

When solving a Multi-Criteria Decision-Making problem of any degree of complexity, many researchers rely on the analytic hierarchy process (AHP). To consider mutual connections between criteria and clusters at the same level and not only the hierarchical structure between criteria and subcriteria, researchers often upgrade from AHP to the Analytic Network Process (ANP), which also examines the interdependency of criteria. However, the ANP method requires a large number of pairwise comparisons. In the case of a complex decision-making problem, the authors of this paper suggest upgrading the AHP method with the graph theory and matrix approach (GTMA) for several reasons: (1) The new method is based on digraphs and permanent value computation, which does not require a hypothesis about interdependency; (2) in case of similar alternatives, the distinguishable coefficient of the new method is higher than those computed for AHP and ANP; (3) the new method allows decision makers to rank comparable alternatives and to combine structurally similar methods without increasing the number of comparisons and the understanding of the results. The developed method (AH-GTMA) is validated by a numerical example of a complex decision-making problem based on a symmetrical set of similar alternatives, a third party logistic provider (3PLP) selection problem.

Using an AHP Rating Model to Select a Suitable Approach to Intellectual Capital Management

2014 ◽  
Vol 6 (3) ◽  
pp. 22-42 ◽  
Author(s):  
Daniela Carlucci ◽  
Paula Kujansivu
Keyword(s):  
Intellectual Capital ◽  
Critical Issue ◽  
Management Approach ◽  
Factors Affecting ◽  
For Profit ◽  
Not For Profit ◽  
Decision Making Problem ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Rating Model

Although a large number of models and tools for managing Intellectual Capital (IC) have been introduced in the literature, the practical operationalisation of IC management still remains challenging. In particular, how managers can better evaluate and select a proper IC management approach represents a critical issue. Selecting a suitable IC management approach is a complex decision-making problem which involves a set of factors affecting the choice. As many factors should be taken into account in that decision, the problem can be tackled using multi-criteria methods. Through a synthesis of management literature regarding the approaches to IC management and the factors affecting their choice, the paper develops an AHP rating model, which keeps in focus the most meaningful elements to be considered in making decision on IC management. The paper presents the results of the application of the model within a not-for-profit organization.

scholarly journals AN INTEGRATED DECISION-MAKING MODEL FOR EFFICIENCY ANALYSIS OF THE FORKLIFTS IN WAREHOUSING SYSTEMS

2021 ◽  
Vol 19 (3) ◽  
pp. 537
Author(s):  
Eldina Mahmutagić ◽  
Željko Stević ◽  
Zdravko Nunić ◽  
Prasenjit Chatterjee ◽  
Ilija Tanackov
Keyword(s):  
Decision Making ◽  
Daily Basis ◽  
Data Envelopment ◽  
Business Applications ◽  
Decision Making Problem ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Warehousing Systems ◽  
Using Data ◽  
Decision Making Model

In the logistics world, special attention should be given to warehousing systems, cost rationalization, and improvement of all the factors that affect efficiency and contribute to smooth functioning of logistics subsystems. In real time industrial practice, the issue of evaluating and selecting the most appropriate forklift involves a complex decision-making problem that should be formulated through an efficient analytical model. The forklifts efficiency plays a very important role in the company. The forklifts are being used on a daily basis and no logistical processes could be done without them. Therefore, it has been decided to determine their efficiency, which will contribute to the optimization of the process in this logistics subsystem. This study puts forward an integrated forklift selection model using Data Envelopment Analysis (DEA), Full Consistency Method (FUCOM) and Measurement Alternatives and Ranking According to the Compromise Solution (MARCOS) methods. Five input parameters (regular servicing costs, fuel costs, exceptional servicing costs, total number of all minor accidents and damage caused by forklifts) and one output parameter (number of operating hours) were first identified to assess efficiency of eight forklifts in a warehousing system of the Natron-Hayat company using the DEA model. This step allows sorting of efficient forklifts which are subsequently evaluated and ranked using FUCOM and MARCOS methods. A sensitivity analysis is also performed in order to check reliability and accuracy of the results. The findings of this research clearly show that the proposed decision-making model can significantly contribute to all spheres of business applications.

Determinanten der Standortattraktivität Deutschlands für die Ernährungswirtschaft – Ergebnisse einer Expertenbefragung

2020 ◽  
Vol 69 (1) ◽  
pp. 19-30
Author(s):  
Julia Höhler ◽  
Svenja Mohr ◽  
Anne Piper
Keyword(s):  
Structural Equation ◽  
Food Industry ◽  
Public Perception ◽  
Equation Model ◽  
Location Factors ◽  
The Public ◽  
Decision Making Problem ◽  
Complex Decision Making ◽  
Survey Results ◽  
Complex Decision

Die Standortwahl stellt ein komplexes Entscheidungsproblem dar. Besonders in der Ernährungswirtschaft spielen dabei neben den bekannten Standortfaktoren auch zunehmend weitere Faktoren, wie die Wahrnehmung der Branche in der Öffentlichkeit, eine Rolle. Im Rahmen einer Expertenbefragung wurden 70 Experten aus vier Bereichen der Ernährungswirtschaft um ihre Einschätzung zu verschiedenen Standortfaktoren gebeten. Die Befragungsergebnisse wurden in einem Strukturgleichungsmodell genutzt, um die Relevanz der verschiedenen Einflussfaktoren für die wahrgenommene Standortattraktivität zu bestimmen. Die Wahrnehmung (in) der Öffentlichkeit erweist sich dabei als besonders bedeutsame Determinante. The choice of location is a complex decision-making problem. Particularly in the food industry, other factors, such as the public perception of the sector, are playing an increasingly important role in addition to the known location factors. As part of an expert survey, 70 experts from four areas of the food industry were asked to assess various location factors. The survey results were used in a structural equation model to determine the relevance of the various influencing factors for the perceived attractiveness of the location. The perception of (or in) the public proves to be a particularly important determinant.

SEIU Local 36 Benefits Office

2011 ◽  
pp. 456-467
Author(s):  
Ira Yermish
Keyword(s):  
Decision Making ◽  
Small Business ◽  
Personal Growth ◽  
Management Strategies ◽  
Business Environment ◽  
Service Organization ◽  
Technological Innovations ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Compliance Issue

This case describes how a service organization approached the Y2K compliance issue and how a complex decision-making process led to near operational disaster. We will see how software vendor relations can be complicated by vendor viability and technological innovations. Another issue we will explore concerns opportunities for personal growth and expanded responsibility in a small business environment. We will see how turnover creates stresses, particularly in an organization of this size. Changes in focus from developing in-house expertise to more extensive use of outside support will be examined. Finally, we will examine the relationships that exist among the various service suppliers and how data is interchanged between these suppliers and the organization. While standards exist in other fields, none have been adopted here. Case readers will be encouraged to formulate upto- date management strategies that address these issues head-on.

Agent-Based Wellness Indicator

2013 ◽  
pp. 300-330 ◽  
Author(s):  
Chitsutha Soomlek ◽  
Luigi Benedicenti
Keyword(s):  
Decision Support ◽  
Information Visualization ◽  
Positive Feedback ◽  
Healthcare Professionals ◽  
Well Being ◽  
Measuring System ◽  
Automatic Measuring ◽  
Visualization System ◽  
Agent Based ◽  
Measuring Devices

An agent-based wellness indicator is an information visualization system designed to present wellness and decision-support information to individuals and their caregivers by elaborating the data provided by measuring devices utilizing the unique characteristics of software agents. The wellness indicator is constructed from an operational wellness model we developed. The model allows an automatic measuring system to calculate the wellness level for a number of indicators resulting in an overall wellness level. These results can be presented in a simple graphical format. The software has been evaluated by following the steps provided in the framework for testing a wellness visualization system. The evaluation is carried out by both general users and healthcare professionals. The results show positive feedback on various aspects of the indicator; and confirm that the wellness indicator can assist people to have a better understanding of their personal state of well-being and can support caregivers in delivering their services.

Agent-Based Wellness Indicator

2015 ◽  
pp. 559-590
Author(s):  
Chitsutha Soomlek ◽  
Luigi Benedicenti
Keyword(s):  
Decision Support ◽  
Information Visualization ◽  
Positive Feedback ◽  
Healthcare Professionals ◽  
Well Being ◽  
Measuring System ◽  
Automatic Measuring ◽  
Visualization System ◽  
Agent Based ◽  
Measuring Devices

An agent-based wellness indicator is an information visualization system designed to present wellness and decision-support information to individuals and their caregivers by elaborating the data provided by measuring devices utilizing the unique characteristics of software agents. The wellness indicator is constructed from an operational wellness model we developed. The model allows an automatic measuring system to calculate the wellness level for a number of indicators resulting in an overall wellness level. These results can be presented in a simple graphical format. The software has been evaluated by following the steps provided in the framework for testing a wellness visualization system. The evaluation is carried out by both general users and healthcare professionals. The results show positive feedback on various aspects of the indicator; and confirm that the wellness indicator can assist people to have a better understanding of their personal state of well-being and can support caregivers in delivering their services.

scholarly journals AN INTERACTIVE DECISION SUPPORT METHOD FOR REAL ESTATE MANAGEMENT IN A MULTI-CRITERIA FRAMEWORK – REMIND

2014 ◽  
Vol 18 (3) ◽  
pp. 265-278 ◽  
Author(s):  
Franck Taillandier ◽  
Irène Abi-Zeid ◽  
Patrick Taillandier ◽  
Gérard Sauce ◽  
Régis Bonetto
Keyword(s):  
Decision Support ◽  
Housing Stock ◽  
Action Plan ◽  
Interactive Decision Support ◽  
Complex Decision Making ◽  
Complex Decision ◽  
The One ◽  
The Individual ◽  
Real Estate Management ◽  
Decision Support Method

Managing a housing stock involves complex decision making such as the design of a multiyear action plan pertaining to the maintenance and upgrading of the properties. In order to address this problem, we developed a novel interactive decision support method (REMIND) to assist a housing stock manager in the progressive design and choice of a multiyear action plan based on multiple criteria. It uses a filtering approach both at the individual action level and at the global scenario level where the housing stock manager can gradually express preferences and conduct what-if analyses. An optimization component based on Tabu search allows the decision-maker to obtain a set of good plans from which he can choose the one to implement. The quality of a plan is defined in terms of how well it meets the goals on each criterion. The application of the method was tested in a leading French property management company.

Sign in / Sign up

Export Citation Format

Share Document