A Neural Network for Resource Constrained Project Scheduling Programming

Özkan, Ömer; Gülçiçek, Ümit

doi:10.3846/13923730.2013.802723

Cited by 9 publications

(3 citation statements)

References 25 publications

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“…Browning and Yassine [41] tested 20 heuristic priority rules on 12,320 problems. Özkan and Gülçiçek [42] found the optimum heuristic rules for specific project types using artificial neural networks. Heuristic priority rules can be classified as (1) rules that use network characteristics, (2) rules that use time values, (3) rules that use resource parameters, and (4) rules that use a combination of the previous three rules [31,43].…”

Section: Heuristic Priority Rulesmentioning

confidence: 99%

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Comparison of Heuristic Priority Rules in the Solution of the Resource-Constrained Project Scheduling Problem

2021

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Resource-constrained project scheduling (RCPS) aims to minimize project duration under limited resource availabilities. The heuristic methods that are often used to solve the RCPS problem make use of different priority rules. The comparative merits of different priority rules have not been discussed in the literature in sufficient detail. This study is a response to this research gap. It compares 17 heuristic priority rules and seeks the best performing heuristic priority rule. This is the first study ever that compares heuristic priority rules by considering combinations of variations in (1) resource allocation procedures, (2) number of activities, (3) number of resource constraints, and (4) resource supply levels. The objective is to understand the relative merits of heuristic rules used in solving the RCPS problem. The findings indicate that the “minimum late finish time” rule generates the shortest predicted project duration when used in parallel resource allocation, whereas the “minimum late start time”, “minimum late finish time”, and the “highest rank of positional weight 2” rules perform best in serial resource allocation. It was also found that parallel resource allocation is slightly superior to serial resource allocation in most instances.

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Section: Heuristic Priority Rulesmentioning

confidence: 99%

“…The activity is picked according to Bedworth's [42] heuristic rule HRU1 (see clarification in the text below).…”

Section: Stfd Min Lsj-esjmentioning

confidence: 99%

Comparison of Heuristic Priority Rules in the Solution of the Resource-Constrained Project Scheduling Problem

2021

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“…As we can known, most of the research on the in uencing factors of construction period focuses on resource constraints [24][25][26] . However, in some emergency situations, construction resources are su cient to ensure rapid construction, so as to avoid huge losses [27][28][29] .…”

Section: Introductionmentioning

confidence: 99%

Research on the Factors of Extremely Short Construction Period under the Sufficient Resources based on Grey- DEMATEL-ISM

Peng

Wang

et al. 2021

Preprint

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Under the condition of sufficient resources, there are many factors affecting the realization of extremely short construction period of engineering construction projects. Based on literature review and questionnaire survey, this paper firstly selected 17 influencing factors from the five dimensions of design, management, technology, policy and environment. And the factor analytic hierarchy process model was established based on Grey-DEMATEL-ISM. The model introduced the improved grey system theory and combined decision-making trial and evaluation laboratory (DEMATEL) with interpretative structural modeling method (ISM). In addition, the model can not only identify the critical factors in the system, but also present the internal logical relationship between the influencing factors through the multi-level hierarchical structure diagram. Finally, through the analysis of the influencing factors of extremely short construction period under the sufficient resources, it defined that the key factor is construction technology and the secondary factor is construction safety organization. The research results provide a theoretical basis for managers to realize the extremely short construction period under the sufficient resources.

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A multi-objective optimization approach to project scheduling with resiliency criteria under uncertain activity duration

Yeganeh

Zegordi

2019

Ann Oper Res

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A Neural Network for Resource Constrained Project Scheduling Programming

Cited by 9 publications

References 25 publications

Comparison of Heuristic Priority Rules in the Solution of the Resource-Constrained Project Scheduling Problem

Comparison of Heuristic Priority Rules in the Solution of the Resource-Constrained Project Scheduling Problem

Research on the Factors of Extremely Short Construction Period under the Sufficient Resources based on Grey- DEMATEL-ISM

A multi-objective optimization approach to project scheduling with resiliency criteria under uncertain activity duration

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