Reengineering the supply chain in a paint company
Bibliographic record
Abstract
Purpose The purpose of this paper is to outline the importance and benefits an organisation can achieve through supply chain integration. These benefits are primarily in the area of achieving superior customer service and operating with lower working capital. Design/methodology/approach A three level framework for achieving the integration has been proposed which is in the form of structural integration, process integration and performance integration. The paper also describes in detail the factors influencing an organisations working capital needs and how this integration mechanism allows the organisation to exercise control over these factors. The framework has been described in the form of a case study in a paints company. Findings The research findings reveal that most of the Indian organisations have aligned their supply chain objectives with their business objectives. They are now on course for aligning their processes and management focus. Enhanced levels of competitiveness would require Indian organisations to manage the three‐dimensional alignment of achieving the agenda set by the business strategy. Research limitations/implications Further research work should focus on assessing the current level of supply chain integration. It is essential that structure and strategy should be aligned to achieve the business objective of providing superior customer service at the lowest cost. Practical implications This paper provides a detailed study to help supply chain managers improve supply chain efficiency through reengineering. Dramatic improvements have been achieved with the improvement of service levels (OTIF) by more than 20 per cent across all regions. Planning orientation and organisational integration resulted in process optimisation across the supply chain. Originality/value The benefits of re‐engineering have increased company's commitment to the integration of the Supply Chain Organisation and it is driving further business improvement initiatives through this organisation. This framework can also be used as a guiding source to carry out organisational transformation process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".