Optimization model for resource assignment problems of linear construction projects

Liu, Shu‐Shun; Wang, Chang‐Jung

doi:10.1016/j.autcon.2006.08.004

Cited by 69 publications

(35 citation statements)

References 21 publications

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“…There were a variety of RAP applications including project budget [18,1], portfolio optimization Fig. 15 Four different resource patterns [3], software testing [5], health care resource allocation [9], linear construction project [17]. Traditionally, mathematical programming techniques are adopted widely to solve the problem [6,23,10], but according to research it may fail to deliver exact solution with reasonable time for large scale problems.…”

Section: Comparison With Related Workmentioning

confidence: 99%

Optimizing lead time and resource utilization for service enterprises

2008

SOCA

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Lead time is generally defined as the period of time for which customers have to wait before receiving completed products or services from enterprises. In the key public utility markets, such as telecommunications market, that are tightly regulated by government watchdogs, service enterprises are obliged to provide equivalent services to all their customers. In the context of service lead time, this means that "standard lead times" should be universally applied to all customers. Existing industrial practice in deriving "standard lead time" is manual and erroneous. Regardless of the variances of demand and resource across geographical areas and across time horizon, service enterprises are generally confined to single fixed "standard lead times". Ill-derived "standard lead times" lead to wrong promises made to customers, which not only forces service engineers to work overtime to deal with overflowing jobs but also incur huge compensation costs due to delayed or failed customer services. In this paper, we set out to tackle the "standard lead time" problem. In particular, we devised an automated approach to testing the existence of legal optimal allocation schemes based on actual customer demand, enterprise resource and assumed standard lead time. We first modelled this as a combinatorial optimisation problem; we then experimented a heuristic local search method, namely "single day shift", inspired by previous work on virtual telescope scheduling; further on, we improved the first method by introducing a new heuristics, namely "multiple day spread", which achieved a speed of search for optimal solutions, 1.29 times faster than the first method. A case study on comparisons between existing default "standard lead time" and the calculated one using our approach for a telecommunication service provider was conducted to demonstrate the necessity and effectiveness of this approach. Finally, we compared our approach with related work. We concluded that our approach is more suitable for the problem of optimizing lead time and resource utilisation, and the results from our work are widely applicable to various industry sectors that concern equivalent customer services, balanced work load and optimal lead times.

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Section: Comparison With Related Workmentioning

confidence: 99%

Optimizing lead time and resource utilization for service enterprises

2008

SOCA

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“…In addition, inadequate planning may delay the project resource supply due to material shortages (Tserng et al 2006). Singh and Wilkinson (2008) suggested proper scheduling of resource utilization and pre-planning whereas Liu and Wang (2007) advocated 'project duration compression' to ensure resource availability.…”

Section: Department 2005)mentioning

confidence: 99%

“…(Padilla and Carr 1991;Khattab and Soyland 1996;Hegazy and Kassab 2003;Liu and Wang 2007)). However, these outcomes are not easily applied to reconstruction work after a disaster, because in most cases of post-disaster rebuilding, resources required for a project are no longer easy to secure in comparison with pre-event situations.…”

Section: Introductionmentioning

confidence: 99%

An integrated approach: managing resources for post‐disaster reconstruction

Yan

Wilkinson

Brunsdon³

et al. 2011

Disasters

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Abstract:The availability of resources allows for the rapid and cost-effective delivery of a construction project. For rebuilding programs after a disaster, the need for better understanding of factors affecting resource availability and their potential impacts on resourcing outcomes can be of crucial importance to desirable reconstruction performance. This research attempts to empirically identify the critical factors affecting resource availability for post-disaster reconstruction projects. The results show that the top ten factors with significant influence on resource availability in post-disaster situations are: legislation and policy, project schedule, competency of resourcing manager, qualification of contractor, project resourcing plan, quantity of resources required, resource procurement lead time, general economic environment and resource transportation cost and method. This ranking hierarchy helps draw attention to areas in which policy makers and reconstruction practitioners should make efforts to ensure resource available for post-disaster rebuilding projects.

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“…The objective was to optimize total construction cost with a genetic algorithm procedure to search for the optimum schedule. Liu and Wang [1] presented a flexible model depending on constraint programming for linear scheduling problems that accommodates different optimization objectives such as minimizing project total cost or duration. Ipsilandis [2] presented a multi objective linear programming model for scheduling linear repetitive projects, which takes into consideration cost elements regarding the project's duration, the idle time of resources, and the delivery time of the project's units.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore effective resource management is very important in terms of project total cost, duration, and interruption time. Interruption time in repetitive projects is the queuing time between two activities of the same type at two consecutive units (Liu and Wang) [1].…”

Section: Introductionmentioning

confidence: 99%

Scheduling Repetitive Construction Projects Using Fuzzy Linear Programming

El-Kholy¹

2012

IOSRJMCE

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Optimization model for resource assignment problems of linear construction projects

Cited by 69 publications

References 21 publications

Optimizing lead time and resource utilization for service enterprises

Optimizing lead time and resource utilization for service enterprises

An integrated approach: managing resources for post‐disaster reconstruction

Scheduling Repetitive Construction Projects Using Fuzzy Linear Programming

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