MétaCan
Menu
Back to cohort
Record W3148011496 · doi:10.1108/ci-03-2020-0039

Exploiting digitalization for the coordination of required changes to improve engineer-to-order materials flow management

2021· article· en· W3148011496 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueConstruction Innovation · 2021
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsWorkflowProcess (computing)Computer scienceProcess managementSystems engineeringDisseminationMaterials managementEngineering managementEngineeringOperations managementDatabase

Abstract

fetched live from OpenAlex

Purpose The dynamic nature and complexity of construction projects make it challenging to ensure that the engineer-to-order (ETO) materials supplied onsite match changing needs. The quick and efficient communication of required changes in material fabrication, delivery and use, due to changes in the design and construction schedules, is needed to address the challenges. This study aims to provide a novel integrated management framework with its embedded informatics to help major stakeholders efficiently absorb agility during communication to deal with required changes and improve workflows. Design/methodology/approach An integrated management framework is developed that integrates the milestones in look-ahead plans and structured iterative processes for major supply chain stakeholders to quickly disseminate information emanating from changes in design, schedules, production and transportation. A prototype system is devised including the informatics to support the framework, which consists of BIM-RFID functional modules and a central database and uses a client-server architecture. The usefulness of the prototype is illustrated using a construction of part of a fictive but realistic high-rise building. Findings The integrated management framework with the informatics provides major stakeholders with the ability to coordinate their activities efficiently and stimulate their agility (measured by process time) in planning and controlling material information. Although only a fictive example was used, it is shown that the use of the system is likely to result in a substantial reduction in the time required to deal with required changes when delivering ETO materials onsite (by 18% in the example). Research limitations/implications The functionalities of the prototype system can be easily scaled up to coordinate changes in the design and scheduling of other types of materials. More functional developments are needed to show the extent of the possible improvement for entire construction projects. Future work should focus on investigating the possible improvements for other types and sizes of construction projects, and eventually in real-world construction projects. Practical implications By fitting the look-ahead plans into structured iterative processes through digital data sharing, stakeholders increased their capability to quickly capture required change information and resolve associated problems. This is particularly useful for the management of ETO supply chain processes, where prefabricated elements such as ductwork, plumbing, and mechanical systems typically have to be modified because of last-minute design and schedule changes. Originality/value Unlike traditional information technology (IT) based supply chain management practices, this research is characterized by a process-centered management framework that provides explicit decision points over iterative planning processes for major stakeholders to manage material information. The iterations through digital data sharing allow stakeholders to quickly respond to last-minute changes on site, which fundamentally achieves workflow agility in the construction supply chain context.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.225
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it