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Record W4313316881 · doi:10.20849/iref.v6i4.1304

The Impact of Supplier Base Consolidation on Procurement, Delivery, and Production Costs: Supply Chain Operations Optimization and Vendor Consolidation

2022· article· en· W4313316881 on OpenAlexaboutno aff
Kenechukwu Nwuka Ochonogor, Gbolahan Solomon Osho, Cyril O. Anoka, Onochie Jude Dieli

Bibliographic record

VenueInternational Research in Economics and Finance · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOutsourcing and Supply Chain Management
Canadian institutionsnot available
Fundersnot available
KeywordsProcurementBusinessConsolidation (business)Supply chainIndustrial organizationVendorSupply chain managementCost reductionPortfolioCommerceMarketingFinance

Abstract

fetched live from OpenAlex

With all these mergers and acquisitions, it is particularly important to consolidate and manage the number of vendors inherited or absorbed via these acquisitions. This is also an avenue to build strong relationships with their selected suppliers because working with fewer vendors helps to optimize their entire supply chain and improves efficiency across procurement, delivery, production, assets management, and customer satisfaction. Another benefit will come from increased discounts due to preferential, scale, and volume pricing not to mention cost reduction in the areas of their supply chain management. Some companies have production plants in Texas, Tennessee, Florida, Ohio, Indiana, China, Canada, Mexico, and India, and the main aim is to identify suppliers close to those plants and streamline their logistics and distribution cost. There is also a high level of l risk associated with this exercise, If the supply is interrupted for any re-organization will face lots of difficulties meeting up demand, the absence of healthy competition will diminish the ability to negotiate SLAs (Service Level Agreements), and pricing against a supplier competitor but the business goal is to: Invest in Innovations, research and develop new products to be able to remain competitive, this cannot be achieved without the optimization of Procurement, Sourcing and Vendor Management. Be able to automate Procurement and Sourcing operations to increase business dynamism. This consolidation will reduce costs and free up funds to achieve their broader business goal and a bloated suppliers portfolio scattered all over the world conceals a lot of opportunities to get more with less. There were lots of political issues uncovered and encountered during this project which was anticipated but was carefully managed. Companies should think ahead and move from strong market position, growth, and reaching critical customers to accelerating profitable growth. Push the organization from a push/OEM channels a to pull strategy a with focus on end users. Ensure their product offering moves from a specific specialized brand to global recognition. Strong technological know-how to become a true and trusted innovative leader. Move from presence in new markets to leader in all markets. It is also advisable for companies to consider Vertical Integration which is a different alternative to Supplier Consolidation, and conduct financial and regression analyses for better decision-making and recommendations that will give a very big boast to their bottom line. This integration will avoid any supply disruption and organizations will have full control of their supply chain. Since Suppliers are known to dictate terms, pricing, and availability of materials, with this Integration, costs will be reduced, and production slowdowns caused by negotiations and other internal tussles will be prevented. This does not go without some risks because there is always a huge capital investment to set this up, to buy the factories and, to ensure that the plant is running efficiently and effectively.

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.

How this classification was reachedexpand

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 score0.131
Threshold uncertainty score0.346

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 integrity0.0000.000
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 head0.030
GPT teacher head0.292
Teacher spread0.262 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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