scholarly journals An Immune Memory and Negative Selection Based Decision Support System to Monitor and Control Public Bus Transportation Systems

2016 ◽  
Vol 49 (5) ◽  
pp. 143-148 ◽  
Author(s):  
Salima Mnif ◽  
Sabeur Elkosantini ◽  
Saber Darmoul ◽  
Lamjed Ben Said
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Negative Selection ◽  
Transportation Systems ◽  
Immune Memory ◽  
And Control ◽  
Monitor And Control ◽  
Bus Transportation

Pemilihan Transportasi Bus Antar Kota Antar Provinsi (AKAP) Dengan Metode Simple Additive Weighting (SAW), Weighted Product (WP), dan Promethee Berbasis Android

2021 ◽  
Vol 5 (3) ◽  
pp. 247
Author(s):  
Achmad Riyadi ◽  
Septi Andryana ◽  
Winarsih Winarsih
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Non Local ◽  
Simple Additive Weighting ◽  
Local Companies ◽  
Bus Transportation

The migrants who have increased every year made bus transportation be one of the most widely used transportation for the Wonogiri’s people to go home to their hometowns. In Wonogiri district, bus transportation is available from various companies, ranging from local companies and non local who have primacy facilities, services, and a diverse bus fleet. The application of a decision support system is to make it easier for prospective passengers to make choices according to the desired criteria can be done using the Simple Additive Weighting, Weighted Product, and Promethee methods. The methods calculates the value of each criteria, weight criteria, criteria type, and is easy to apply to solve problems related to multi-criteria. There are 5 criteria used and 17 different bus companies as alternatives. The existence of this system is expected to make it easier for prospective passengers to decide the bus according to the desired criteria.Keywords:Promethee; Simple Additive Weighting; Weighted Product.

Plant design and control in food service industry. A multi-disciplinary decision-support system

2018 ◽  
Vol 103 ◽  
pp. 72-85 ◽  
Author(s):  
Alessandro Tufano ◽  
Riccardo Accorsi ◽  
Federica Garbellini ◽  
Riccardo Manzini
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Service Industry ◽  
Food Service ◽  
Plant Design ◽  
And Control

Development of a Decision Support System for Unscheduled Maintenance MRO Component Safety Stock

2007 ◽  
Author(s):  
D. Tsakatikas ◽  
M. Sfantsikopoulos
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Inventory Control ◽  
Support System ◽  
Industrial Production ◽  
Failure Modes ◽  
System A ◽  
And Control ◽  
Functional Components ◽  
Criticality Analysis

The paper presents a methodology for the establishment of the MRO (Maintenance, Repair and Operation) material criticality that is focused on the Industrial Unplanned Maintenance needs. The thus obtained criticality is used to rationalize the efficiency of the Plant MRO-material Inventory. Through an appropriately adapted Top-Down FMECA (Failure Modes Effects and Criticality Analysis) the concept of the Component Dynamic Criticality is introduced and calculated for all the functional components of an industrial production facility. The components are assigned with characteristic code numbers. MRO-material Inventory control is then carried out within the frame of the developed Decision Support System. A case study demonstrates the method. The use of the developed Decision Support System considerably increases not only the efficiency of the Plant MRO-Material Inventory and control of the Unplanned Maintenance Downtime, but also its continuously updated and highly constructive System Dynamic Database of Component Failure Modes and their Effects benefits the Conventional Maintenance Schemes, e.g. Scheduled and/or Predictive Maintenance, as well. MRO-Material Inventory control for rational Unplanned Maintenance Downtime has not been addressed to this date in a systematic way. By addressing this issue the present approach contributes to an increased availability of industrial production facilities and to a better performance of CMMS and/or ERP tools.

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