Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Multi-Project Multi-Resource Leveling Using Mixed Integer Programming
Date
2018-11-16
Author
Altun, Murat
Sönmez, Rifat
Akçamete Güngör, Aslı
Metadata
Show full item record
Item Usage Stats
188
views
0
downloads
Cite This
In construction projects, resource leveling aims to provide efficient resource planning during project implementation by reducing possible fluctuations in resource usage. Decision makers mostly focus on the single project to optimize its resource usage by applying various objective functions of resource leveling problem. However, in real life, multiple projects may be performed in the same time period. Hence, leveling the resources of each project separately generates sub-optimal solutions since interactions between projects due to common resource usages are ignored. Therefore, the projects with shared resources should be leveled together to reach the global optimum solution. In this study, an optimization model is developed using Mixed Integer Programming (MIP) to minimize peak usage of multiple types of trades in multiple construction projects. Performance of the model is tested with two 300-activity construction projects and three different resource trades. The results show that MIP model offers the optimal solution to the tested multi-project multi-resource leveling problem.
Subject Keywords
Multiple project
,
Resource leveling
,
Shared resource optimization
,
Scheduling
,
Mixed integer programming
URI
http://pcmc2018.ciu.edu.tr/index.php/ipcmc-2018-proceedings/
https://hdl.handle.net/11511/72458
Conference Name
5th International Project and Construction Management Conference IPCMC2018 (16 - 18 Kasım 2018)
Collections
Department of Civil Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Development of high performance heuristic and meta-heuristic methods for resource optimization of large scale construction projects
Abbasi Iranagh, Mahdi; Sönmez, Rifat; Department of Civil Engineering (2015)
Despite the importance of resource optimization in construction scheduling, very little success has been achieved in solving the resource leveling problem (RLP) and resource constrained discrete time-cost trade-off problem (RCDTCTP), especially for large-scale projects. The major objective of this thesis is to design and develop new heuristic and meta-heuristic methods to achieve fast and high quality solutions for the large-scale RLP and RCDTCTP. Two different methods are presented in this thesis for the R...
Resource Constrained Multi-project Scheduling: Application in Software Company
Kurt, Pelin Akyil; KEÇECİ, BARIŞ (2019-01-01)
Project scheduling is a common problem of today's companies, which have project type production system. Project scheduling is a mechanism to communicate what tasks need to get done and which organizational resources will be allocated to complete those tasks in what timeframe. In this study, it is aimed to find the shortest completion time of projects and the starting/ending time of each activity as well in a software company, which is running simultaneous projects including multiple activities with predeces...
DAILY OPERATION OF A MULTIPURPOSE RESERVOIR SYSTEM
Yazıcıgil, Hasan; TOEBES, GERRIT H (1983-01-01)
An optimization model that may be used by reservoir system operators to improve daily, real‐time operations and to evolve better long‐term operating guidelines is developed and tested. The four multipurpose reservoirs in the Green River Basin (GRB) of Kentucky are used as a case study. The GRB Operation Optimization Model (GRBOOM) is a linear program constructed to imitate the decision‐ making process that results in actual reservoir release decisions. The model is easily modifiable and very flexible, which...
LP relaxation-based solution algorithms for the multi-mode project scheduling with a non-renewable resource
Azizoğlu, Meral; Pamir, Selin Kirbiyik (2015-01-01)
In this study, we consider a multi-mode resource allocation problem with a single non-renewable resource. We assume the resource is released at defined time points and at defined quantities. We also assume that the activity costs are charged once they are completed. Our aim is to minimise the project completion time. We formulate the problem as a pure integer programming model and show that it is strongly NP-hard. We find lower bounds by pure and mixed integer linear programming relaxations of the model and...
Hybrid meta-heuristic algorithms for the resource constrained multi-project scheduling problem
Uysal, Furkan; Sönmez, Rifat; Department of Civil Engineering (2014)
The general resource constrained multi-project scheduling problem (RCMPSP) consists of simultaneous scheduling of two or more projects with common resource constraints, while minimizing duration of the projects. Critical Path Method and other scheduling methods do not consider resource conflicts and practically used commercial project management software packages and heuristic methods provide very limited solutions for the solution of the RCMPSP. Considering the practical importance of multi-project schedul...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Altun, R. Sönmez, and A. Akçamete Güngör, “Multi-Project Multi-Resource Leveling Using Mixed Integer Programming,” Lefkoşa, Kıbrıs, 2018, p. 1300, Accessed: 00, 2021. [Online]. Available: http://pcmc2018.ciu.edu.tr/index.php/ipcmc-2018-proceedings/.
