contributor author | Atilla Damci | |
contributor author | David Arditi | |
contributor author | Gul Polat | |
date accessioned | 2017-05-08T21:40:00Z | |
date available | 2017-05-08T21:40:00Z | |
date copyright | September 2013 | |
date issued | 2013 | |
identifier other | %28asce%29co%2E1943-7862%2E0000723.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/58873 | |
description abstract | Line-of-balance (LOB) methodology produces a work schedule in which resource allocation is automatically performed to provide a continuous and uninterrupted use of resources, but the distribution of resources could be further improved by resource leveling even if multiple resources are involved. The objective of this study is to develop a genetic algorithm (GA)-based multiresource leveling model for schedules that are established by LOB. The proposed model postulates that the production rate and duration of an activity are governed by the resource that requires the longest duration in completing a unit. Once the LOB schedule is established, resource leveling is performed according to the principle of | |
publisher | American Society of Civil Engineers | |
title | Multiresource Leveling in Line-of-Balance Scheduling | |
type | Journal Paper | |
journal volume | 139 | |
journal issue | 9 | |
journal title | Journal of Construction Engineering and Management | |
identifier doi | 10.1061/(ASCE)CO.1943-7862.0000716 | |
tree | Journal of Construction Engineering and Management:;2013:;Volume ( 139 ):;issue: 009 | |
contenttype | Fulltext | |