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Record W2617849701

Defining the lean logistics learning enterprise: Examples from Toyota's North American supply chain.

2004· article· en· W2617849701 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDeep Blue (University of Michigan) · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsnot available
Fundersnot available
KeywordsSupply chainBusinessLean manufacturingManufacturing engineeringOperations managementProcess managementIndustrial organizationMarketingEngineeringKnowledge managementComputer science
DOInot available

Abstract

fetched live from OpenAlex

Lean manufacturing, as based on the Toyota Production System, is frequently attempted in manufacturing facilities all over the world. In order to reap the true benefits of the lean philosophy, it is necessary that firms expand their lean thinking beyond their own doors. This dissertation looks at lean logistics as the next logical step. First, lean logistics is defined based on the principles of the Toyota Production System, as a logistics system which seeks to shorten lead time by eliminating all of the varying wastes in the system. The philosophy of lean logistics is described using the analogy of a house comprised of a roof, walls, and a foundation (based on the Toyota Production System house). The roof represents the goal of the logistics system. The walls holding up the roof are just-in-time delivery and quality systems. The foundation is made up of the operational systems necessary for the proper functioning of the just-in-time delivery and the quality systems. To complete the house, respect for humanity is located in the center. Examples from Transfreight, Inc. are used to illustrate the definition of lean logistics. Transfreight is a logistics company originally formed as a joint venture at the behest of Toyota to serve as Toyota's sole inbound logistics partner for the vehicle assembly plant in Cambridge, Ontario. Transfreight is at the center of Toyota's transfer of its just-in-time philosophy to North America. Transfreight, which uses the lean manufacturing philosophy in all of its operations, now serves many Toyota plants in North America as well as other customers. Second, to consider a broader perspective of logistics systems, a conceptual model of logistics is developed and seven case studies of logistics systems are placed in the model. The first of the models' two dimensions is the scope of the supply chain that a firm considers when it attempts to optimize its value chain ranging from a single link to a supply chain. The second dimension is whether the firm focuses their improvement efforts on the technical systems or takes a sociotechnical systems approach. Most logistics research falls toward the single link end of the continuum and takes a purely technical systems perspective. In contrast Toyota's approach views the supply chain as a sociotechnical system integrating people, process, and technology. Finally, lean logistics is placed in the framework of the learning enterprise. Here, the logistics systems of Toyota, Ford, and CAMI (a GM-Suzuki joint venture served by Transfreight) are evaluated for their use, or failure to develop, learning characteristics. The ability to successfully learn is arguably the critical competitive advantage for long-term sustainability of an enterprise.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.183
Teacher spread0.173 · 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