A Comparative Analysis between Small and Medium Scale Manufacturing Company through Total Quality Management Techniques
Notice bibliographique
Résumé
Objective is strategic goal, set by the organization through its strategic planning process for attainment of vision in larger frame of the future. Today, find much literature which abounds with case studies of successful companies, descriptions of quality concepts, and quality improvement approaches. However, most of this literature is rather weak in providing benchmark data or a framework that managers can use to evaluate and modify their own quality improvement efforts. This framework is important because it can be used to assess the status of quality practices in organizations and guide managers in their quality improvement initiatives, without being dependent on outside consultants. It is also useful in providing initial benchmark data about the strengths and weaknesses that exist within the firm in the process of pursuing a quality improvement program. Smaller firms are likely to face more risk in attempting technological or organizational change. Because large and medium companies can assess greater resources, they are more likely to survive a stumble when adopting a new technology or trying a new management concept such as TQM. Consequently, this causes smaller firms to place great importance on doing it right the first time. They may not get a second chance. It is also helped small and medium size enterprises--would be able to design and implement their own less expensive and easy to follow TQM criteria, which ultimately will produce competent internal results for their company. In this respect, primary objective of TQM can be simply states as to ensure 'Performance Superiority' of the company over competitors by delivering total customer satisfaction. Secondary objectives of TQM are- 1. Continuous improvement of the organizational processes and output, which must be equal or superior to the competition 2. Continual and relentless cost reduction and value addition to products and services 3. Continuous and relentless thrust for improvement of manufacturing processes, product and services 4. Creation of an organizational work culture where by everyone is involved in the process of customer satisfaction and value creation for its customers 5. Making the organization market and customer focused 6. Guiding the organization its values, vision, mission and goal set through 'strategic planning' process 7. Changing the organization from 'function' focused to 'customer' focused, where customer's priorities come first in all activities 8. Making the organization flexible and learning oriented to cope with change; change in market place,business-environment, opportunities for improvements as well as organizational culture 9. Creating an organization where people are at the core of every activity, and are encouraged and empowered to work in teams 10. Promoting a transparent leadership process to lead the organization to excellence in its chosen field of business
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,004 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».