Two-Stage Scheduling Model for Resource Leveling of Linear Projects

Tang, Yuanjie; Liu, Rengkui; Sun, Qiang

doi:10.1061/(asce)co.1943-7862.0000862

Cited by 33 publications

(42 citation statements)

References 19 publications

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“…Some studies focusing resource leveling of linear projects have been performed based on linear scheduling techniques, such as those by Georgy (), Mattila and Abraham (), Tang et al. (, b), and Hsie et al. (); however, these studies were all LSM‐based rather than LOB‐based.…”

Section: Literature Reviewmentioning

confidence: 99%

Resource Leveling Based on Line of Balance and Constraint Programming

Tang

Sun

Liu

et al. 2018

Computer aided Civil Eng

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This study investigated resource leveling problems concerning linear construction projects based on the line of balance (LOB) technique and constraint programming. In addition, an LOB‐based scheduling optimization model for resource leveling is proposed. This model retains the advantages of the conventional models, including multiple‐resource management and natural rhythm concept, and showcases new abilities: scheduling optimization without specifying a fixed schedule; scheduling optimization on more comprehensive optimization objects and variable values; maintaining continuity of resource while completely eliminating the occurrence of idle time; handling more comprehensive constraints after the addition of logical constraints and explicit expression of certain new constraints. The flexibility, practicality, and solution quality of the proposed model were enhanced accordingly. Further, a scheduling system was developed to assist in schedule optimization and visualization. Lastly, effectiveness of the proposed model was verified based on four case studies involving three case projects investigated in extant LOB‐based studies.

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Section: Literature Reviewmentioning

confidence: 99%

Resource Leveling Based on Line of Balance and Constraint Programming

Tang

Sun

Liu

et al. 2018

Computer aided Civil Eng

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“…Other approaches related to construction projects deal with RLP in Line‐of‐Balance Scheduling (Damci et al., ,b), linear projects (Tang et al., ; Georgy, ), highway projects (Arditi and Bentotage, ), considering uncertainty in activity durations (Li et al, ), allowing activity splitting (Hariga and El‐Sayegh, ; Alsayegh and Hariga, ; Hossein Hashemi Doulabi et al., ; Son and Mattila, ), or considering generalized precedence relationships (Benjaoran et al., ). Construction‐related problems derived from multimode RLP were studied by Menesi and Hegazy (), whereas Heon Jun and El‐Rayes () analyzed those related to multiobjective optimization.…”

Section: Literature Reviewmentioning

confidence: 99%

A Parallel Branch and Bound Algorithm for the Resource Leveling Problem with Minimal Lags

Ponz-Tienda

Salcedo-Bernal

Pellicer

2016

Computer aided Civil Eng

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The efficient use of resources is a key factor to minimize the cost while meeting time deadlines and quality requirements; this is especially important in construction projects where field operations make fluctuations of resources unproductive and costly. Resource Leveling Problems (RLP) aim to sequence the construction activities that maximize the resource consumption efficiency over time, minimizing the variability. Exact algorithms for the RLP have been proposed throughout the years to offer optimal solutions; however, these problems require a vast computational capability (“combinatorial explosion”) that makes them unpractical. Therefore, alternative heuristic and metaheuristic algorithms have been suggested in the literature to find local optimal solutions, using different libraries to benchmark optimal values; for example, the Project Scheduling Problem LIBrary for minimal lags is still open to be solved to optimality for RLP. To partially fill this gap, the authors propose a Parallel Branch and Bound algorithm for the RLP with minimal lags to solve the RLP with an acceptable computational effort. This way, this research contributes to the body of knowledge of construction project scheduling providing the optimums of 50 problems for the RLP with minimal lags for the first time, allowing future contributors to benchmark their heuristics methods against exact results by obtaining the distance of their solution to the optimal values. Furthermore, for practitioners, the time required to solve this kind of problem is reasonable and practical, considering that unbalanced resources can risk the goals of the construction project.

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“…In addition to the available algorithms for constructing and optimizing the calendar plans, mainly considered in the works of foreign authors [1][2][3][4][5][6][7][8][9][10], this article proposes a two-stage instrument that allows the General Contractor Organization to first isolate the permissible amount of work for transfer to the subcontractor balance, and then proceed to the formation of a calendar plan and resource schedules (Fig. 3).…”

Section: Fig 1 Scheme Of Production Planningmentioning

confidence: 99%

Optimization of the annual construction program solutions

Oleinik

Yurgaytis

2017

MATEC Web Conf.

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Abstract. The article considers potentially possible optimization solutions in scheduling while forming the annual production programs of the construction complex organizations. The optimization instrument is represented as a two-component system. As a fundamentally new approach in the first block of the annual program solutions, the authors propose to use a scientifically grounded methodology for determining the scope of work permissible for the transfer to a subcontractor without risk of General Contractor's management control losing over the construction site. For this purpose, a special indicator is introduced that characterizes the activity of the general construction organization -the coefficient of construction production management. In the second block, the principal methods for the formation of calendar plans for the fulfillment of the critical work effort by the leading stream are proposed, depending on the intensity characteristic.

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Two-Stage Scheduling Model for Resource Leveling of Linear Projects

Cited by 33 publications

References 19 publications

Resource Leveling Based on Line of Balance and Constraint Programming

Resource Leveling Based on Line of Balance and Constraint Programming

A Parallel Branch and Bound Algorithm for the Resource Leveling Problem with Minimal Lags

Optimization of the annual construction program solutions

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