Integrating discrete event simulation (DES) and system dynamics (SD) on single platform for simulating construction operations
Notice bibliographique
Résumé
Decisions in construction operation are taken at two levels, strategic and operational (Pena-Mora et al. 2008). Currently, in construction operations simulation area, there is a little understanding of how decisions at strategic level interact with operational level and how results of interactions could influence the outcomes of operations. The common practice in construction simulation is simulating operations in isolation to strategic/context level. Two methods of simulation have gained prominence in construction operations simulation are discrete event simulation (DES) and system dynamics (SD) (Alvanchi 2011). DES has been widely used in modeling construction operations; however, it lacks the ability to model the global/context aspects of operations being modeled and ignores the complex cause-effect relationships among variables. DES and SD provide a valuable decision support tool but none is individually capable of capturing the holistic picture of the operations being modeled, in addition, DES seems to overcome the SD limitations and vise versa. In this context, SD is utilized to circumvent those limitations associated with DES and to benefit from its holistic modeling capabilities. To address those issues, a hybrid simulation system capable of integrating DES and SD on a single platform is presented. The propose system applicable to modeling and simulating construction operations, and encompasses five stages: 1) identifying objectives and criteria; 2) building DES and SD models; 3) interfacing formalism; 4) time synchronization; and 5) DES_SD executer. In stage (1), objectives of operations requiring hybrid simulation are identified, and then project's operations are decomposed based on criteria developed from the unique characteristics of DES and SD. The decomposition results in units, when modeled using DES or SD, are called modules. Stage (2) focuses on building the simulation modules. The norms of building DES and SD models are used. Hybrid model structure is defined in this stage based on problem's requirements. Three possible structures are identified. First, if context variable effects on operation being modeled need to be accounted for, then those variables are modeled using SD and their effects are fed into interface variables in DES model. Second, when impacts of the strategic level on operational level need to be account for, then operational level represented in DES model components are allowed to interact only within framework set by strategic level. Third, where global SD model is built and failed to account for operational aspects, then DES is mobilized to compute operational variables, and then feed them into SD model through interfaces. Interface variables that act as contact points between modules' variables to receive or export data are selected in this stage. For stage (3), in order to facilitate integrating and interfacing of variables in the hybrid environment, formalism is used to describe the variables to the DES_SD executer. A novel synchronization method that utilizes Time Bucket concept is developed in stage (4) (Alzraiee et. al 2012). It provides an algorithm to deal with DES and SD simulation clocks. The final stage (5) involved developing the executer, which assembles the elements of the proposed hybrid simulation system on single platform. The proposed methodology was initially tested successfully through utilizing DES and SD simulation engines using circular hybrid simulation technique. Consequently, a pseudo code that results in a computer simulation application (hybrid system) is developed. Final testing and validation process is conducted to assure the reliability and validity of the application. This research is expected to be of value in hybrid modeling and simulating construction operations and understanding the impact of various factors on time and cost of the operations being simulated. This allows for improvements in planning and execution of construction work with cost and timesaving.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».