A model, a heuristic and a decision support system to solve the earth observing satellites fleet scheduling problem

2009 ◽  
Author(s):  
Pei Wang ◽  
Peng Gao ◽  
Yuejin Tan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Scheduling Problem ◽  
The Earth

A decision support system for the courier vehicle scheduling problem

Omega ◽  
1988 ◽  
Vol 16 (4) ◽  
pp. 333-345 ◽  
Author(s):  
A.V. Hill ◽  
V.A. Mabert ◽  
D.W. Montgomery
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Vehicle Scheduling ◽  
Scheduling Problem

scholarly journals Penerapan Kombinasi AHP-WP Pada Sistem Pendukung Keputusan Pemilihan Lokasi Pembangunan Perumahan

2019 ◽  
Vol 4 (2) ◽  
pp. 95-102
Author(s):  
Rizka Putri Utami ◽  
Mujib Ridwan ◽  
Faris Mushlihul Amin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Criteria ◽  
Basic Needs ◽  
Housing Construction ◽  
Existing Problems ◽  
The Earth ◽  
Criteria Weights ◽  
The Right

As the age of the earth grows, so does the number of inhabitants who inhabit it. As we know, home or residence is one of the basic needs for humans. This is a very promising opportunity for housing developers, given the large number of residents, especially in Indonesia, who need housing. But there are some problems that must be faced by housing developers to choose the right place of development. One of them is the number of criteria that must be met for a place to be chosen. The purpose of this research is to facilitate and support in choosing housing construction locations. Decision Support System to be the right solution because complex calculations can be computerized to make it easier. Housing selection criteria are obtained based on interviews with PT Metro Perkasa Abadi for further processing. AHP and WP methods are suitable methods to be combined in solving existing problems. The AHP results are criteria weights, while WP generates location rankings.

A Decision Support System with EDA_PR Algorithm for the Hot Rolling Scheduling

2013 ◽  
Vol 756-759 ◽  
pp. 4466-4470 ◽  
Author(s):  
Xiao Xia Zhang ◽  
Yun Yong Ma
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Hot Rolling ◽  
Steel Production ◽  
Scheduling Problem ◽  
Hybrid Strategy ◽  
Novel Approach ◽  
Estimation Of Distribution ◽  
Scheduling Method

This paper presents a hybrid algorithm for the hot rolling scheduling problem, which is derived from the actual steel production, and some features make the solution methodology more difficult. The hybrid strategy is based on the solution construction mechanism of estimation of distribution algorithm (EDA) with path relinking (PR), an evolutionary method, which results in a novel approach that we call EDA_PR. Moreover, a decision support system in which the algorithm has been embedded for the hot rolling scheduling is designed. The computational experiments show that the EDA_PR method has more potential for improvement to solve the hot rolling scheduling problem compared with the manual scheduling method.

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