A 0/1 integer programming model for the office space allocation problem

We propose a 0/1 integer programming model to tackle the office space allocation (OSA) problem which refers to assigning room space to a set of entities (people, machines, roles, etc.), with the goal of optimising the space utilisation while satisfying a set of additional requirements. In the propos...

Full description

Bibliographic Details
Main Authors: Ulker, Ozgr, Landa-Silva, Dario
Format: Article
Published: Elsevier 2010
Subjects:
Online Access:https://eprints.nottingham.ac.uk/35596/
_version_ 1848795117251461120
author Ulker, Ozgr
Landa-Silva, Dario
author_facet Ulker, Ozgr
Landa-Silva, Dario
author_sort Ulker, Ozgr
building Nottingham Research Data Repository
collection Online Access
description We propose a 0/1 integer programming model to tackle the office space allocation (OSA) problem which refers to assigning room space to a set of entities (people, machines, roles, etc.), with the goal of optimising the space utilisation while satisfying a set of additional requirements. In the proposed approach, these requirements can be modelled as constraints (hard constraints) or as objectives (soft constraints). Then, we conduct some experiments on benchmark instances and observe that setting certain constraints as hard (actual constraints) or soft (objectives) has a significant impact on the computational difficulty on this combinatorial optimisation problem.
first_indexed 2025-11-14T19:26:59Z
format Article
id nottingham-35596
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:26:59Z
publishDate 2010
publisher Elsevier
recordtype eprints
repository_type Digital Repository
spelling nottingham-355962020-05-04T16:29:23Z https://eprints.nottingham.ac.uk/35596/ A 0/1 integer programming model for the office space allocation problem Ulker, Ozgr Landa-Silva, Dario We propose a 0/1 integer programming model to tackle the office space allocation (OSA) problem which refers to assigning room space to a set of entities (people, machines, roles, etc.), with the goal of optimising the space utilisation while satisfying a set of additional requirements. In the proposed approach, these requirements can be modelled as constraints (hard constraints) or as objectives (soft constraints). Then, we conduct some experiments on benchmark instances and observe that setting certain constraints as hard (actual constraints) or soft (objectives) has a significant impact on the computational difficulty on this combinatorial optimisation problem. Elsevier 2010-08-01 Article PeerReviewed Ulker, Ozgr and Landa-Silva, Dario (2010) A 0/1 integer programming model for the office space allocation problem. Electronic Notes in Discrete Mathematics, 36 . pp. 575-582. ISSN 1571-0653 space planning problem formulation mathematical programming exact algorithms http://www.sciencedirect.com/science/article/pii/S1571065310000740 doi:10.1016/j.endm.2010.05.073 doi:10.1016/j.endm.2010.05.073
spellingShingle space planning
problem formulation
mathematical programming
exact algorithms
Ulker, Ozgr
Landa-Silva, Dario
A 0/1 integer programming model for the office space allocation problem
title A 0/1 integer programming model for the office space allocation problem
title_full A 0/1 integer programming model for the office space allocation problem
title_fullStr A 0/1 integer programming model for the office space allocation problem
title_full_unstemmed A 0/1 integer programming model for the office space allocation problem
title_short A 0/1 integer programming model for the office space allocation problem
title_sort 0/1 integer programming model for the office space allocation problem
topic space planning
problem formulation
mathematical programming
exact algorithms
url https://eprints.nottingham.ac.uk/35596/
https://eprints.nottingham.ac.uk/35596/
https://eprints.nottingham.ac.uk/35596/