PLANNING RELOCATION OF PEOPLE FOR DEVELOPING SURFACE MINES IN DENSELY POPULATED AREAS: OPTIMIZATION OF MULTIPLE OBJECTIVES

Surface mining, often adopted for exploiting natural resources all over the world, is a major subject of debate as it causes major environmental impacts. It not only adversely alters the landscape but it also seriously hampers the traditional living conditions of numerous inhabitants, who may be dis...

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Veröffentlicht in:Asia-Pacific journal of operational research Jg. 28; H. 5; S. 563 - 583
Hauptverfasser: ZAHIR, SAJJAD, SARKER, RUHUL
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Singapore World Scientific Publishing Co. & Operational Research Society of Singapore 01.10.2011
World Scientific Publishing Co. Pte., Ltd
Schlagworte:
Algorithms
Coal mining
Compensation
Decision making
Goal programming
Hierarchies
Integer programming
Linear programming
Literature reviews
Mines
Mining
Multiple criteria decision making
Objectives
Operations research
Planning
Population
Relocation
Strategic planning
Strip mining
Studies
Supply chains
Bangladesh
multiple criteria analysis
multiple objective programming
OR in strategic planning
environment
OR in developing countries
Goal programming
ISSN:0217-5959, 1793-7019, 0217-5959
Online-Zugang:Volltext
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Zusammenfassung:Surface mining, often adopted for exploiting natural resources all over the world, is a major subject of debate as it causes major environmental impacts. It not only adversely alters the landscape but it also seriously hampers the traditional living conditions of numerous inhabitants, who may be displaced against their wishes without receiving necessary compensation. In this paper, goal programming is combined with the analytic hierarchy process to determine optimal decisions for the planned relocation of people where surface mining may take place in a densely populated environment, while addressing multiple conflicting objectives. The combined approach is illustrated with a numerical example highlighting its usage in other decision problems.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0217-5959
1793-7019
0217-5959
DOI:10.1142/S0217595911003442