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Record W2548380795

Production scheduling and routing problem in the textile industry

2013· article· en· W2548380795 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

VenueIndustrial Engineering and Systems Management (IESM), Proceedings of 2013 International Conference on · 2013
Typearticle
Languageen
FieldEngineering
TopicVehicle Routing Optimization Methods
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsColumn generationScheduling (production processes)SolverInteger programmingLinear programmingMathematical optimizationComputer scienceJob shop schedulingRouting (electronic design automation)AlgorithmMathematicsEmbedded system
DOInot available

Abstract

fetched live from OpenAlex

In this paper we propose a two-phase solution approach to solve a combined routing and scheduling problem occurring in the textile industry where all fabrics are dyed by dye-jets and transported by forklifts. The objective is to minimize the cost of unproductive activities consisting of setup time due to dye-jets cleaning and forklifts waiting time. The first phase solves an integer linear program to assign jobs (fabrics) to dye-jets while minimizing the setup cost. We compare in this phase an arc formulation and a path-based formulation. In the second phase we use a mixed-integer linear program to deal with dye-jets scheduling and both routing and scheduling of forklifts. Experiments are performed on real data provided by a major multinational company and have been conducted using Cplex 12.4.0 and a column generation solver. Optimal solution is obtained in reasonable time.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.250
Teacher spread0.207 · 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