Lead time analysis and reduction at Alfa Laval DC Lund
Notice bibliographique
Résumé
Alfa Laval DC Lund is both a spare part manufacturer and distributer. The spare parts that Alfa Laval DC Lund supplies are used for the heat transfer business unit of Alfa Laval. Sometimes orders need to be produced fast as customers may have breakdowns in production and sometime orders arrive months earlier than customers want to receive delivery as scheduled services occur at the customer. Problem A problem today is that the time it takes Alfa Laval DC Lund to produce and send an order to a customer is perceived as too long. It is not known where in the process the majority of time is spent as well as what can be done to reduce it. Purpose The purpose is to perform a thorough analysis of the lead time for manufacturing orders from that the customer order arrives at Alfa Laval DC Lund to the customers receive delivery. Objective A solution that will reduce lead time for manufacturing orders should be created and implemented. Deliverables The project should deliver savings/profit of 5000 euro per year and/or a process improvement of 25%. Methodology The research has had a systems approach which was helpful to provide a holistic perspective. A combination of a case study and action research has been used to build a thorough understanding of the business before trying to improve it. Data has been gathered through interviews, observations, literature studies and from measuring processes and extracting data from the ERP system’s database. During the research, emphasis has been on ensuring that reliable and valid data has been used. Results The production lead time data in Movex was adjusted to better fit the actual production lead time. The result was a decrease in lead time which could be seen directly after implementation. Conclusion The benefits of the implemented solution will be a 30% decrease in internal lead time when material is available from start and a 10% decrease in internal lead time when material is not available from start. This will in turn generate a total of approximately 14 000 euro per year in savings from less tied up capital and profits from earlier revenue. The analysis has also yielded information that Alfa Laval DC Lund can use to start new projects with the purpose to reduce lead time and/or improve their business. It has been concluded that human interference with as well as wrong data in the ERP system drives lead times. The research also demonstrates the importance of working with the ERP system and using its features in a correct way instead of working beside and overriding it.
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,014 | 0,003 |
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 ».