Study of Supply Chain of an Indian Shipping Company using Modified SAP-LAP Framework
Notice bibliographique
Résumé
Purpose - The purpose of the present work is to study the supply chain of an Indian Shipping Company (SC) which has posted an audited loss of Rs 147.47 crores in the F Y 2013-14 and the three quarter reports of 2014-2015 is also not very encouraging as financial position of case company still indicate southward trend. It is a matter of surprise to everyone that during the same period other private companies have reported profits in their fleet operation. This shows that the cost cutting measures, such as: Reduction in expenses incurring towards ship repairs and dry-docking at least by 50% because the average age of ships has come down to nine years, taken SC management are not sufficient. It has been also noticed that manning agents to provide above personnel engaged by management are not performing their duties with dedication and their services are not of good quality. There is dissatisfaction among permanent floating staff personnel as they are given biased treatment as compared to contract personnel as far as their posting on the vessels. The purpose of this paper is to develop a case of a shipping company and to gain learning insights towards current situation of the company with the help of SAP (Situation-Actor- Process)-LAP (Learning-Action- Performance) framework. The case study points out limitations of the Shipping Company (SC) and suggests modifications and some actions for improving its competitiveness in near future. Approach: With the help of modified SAP - LAP framework, the working of the shipping company in the present scenario have been analyzed. The analysis has been carried out with the help of discussion with the experts of the company having more than ten years of experience. The case study makes some suggestions after analyzing the present situation, so that company can make operational profit in financial year 2016- 17 onwards. Findings - Through development of SAP- LAP framework, past and present situation of the case company has been studied with the focus on direct actors and indirect actors responsible for the growth of the case company. The process of the company has been analyzed from strategic, tactic and operational point of view. Learning is gained for the present and future situation. Actions have been proposed to improve the present situation and for sustainable future growth. Originality - The paper is an original paper which applies SAP-LAP framework with modification. In the development of SAP-LAP framework, the help of experienced experts has been obtained. The questions were prepared after reviewing the related literature and annual reports of the case company and its competitors. The case study suggests simple but effective solutions that may be adopted by the case company for her sustainable growth in future.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».