Measures for auditing performance and integration in closed‐loop supply chains
Notice bibliographique
Résumé
Purpose In a growing number of competitive sectors with closed‐loop supply chains, the reverse component has become an inherent part of the business, not to mention a core competence; hence the need to have performance measures that can be used to provide an accurate diagnosis of the state of the supply chain by addressing both its forward and its reverse components. It is also important to identify the level of existing integration between parties, as this has been associated with supply chain performance. This paper seeks to address this issue. Design/methodology/approach Elements gathered from the literature reviewed are used to present a set of measures that can be applied for auditing purposes in: the forward supply chain; product returns and reverse logistics; flows of materials and information and integration between supply chain tiers. To illustrate the use of the proposed set of measures for auditing purposes a case study involving a major European mobile phone network operator was analysed using the operator's own brand of handsets characterised for having a closed‐loop supply chain. Findings The proposed set of measures for auditing purposes provide an overall picture of the performance of a closed‐loop supply chain by revealing high levels of stock for the products analysed, consequence of the difficulty to generate accurate forecasts and the accumulation of high quantities of product prior to launch. Also the methodology presented in this paper identifies links between product returns (faulty and non‐faulty) to operations in the forward component of the supply chain (design, sourcing, manufacturing and forecasting) and also indicates how performance is affected because of integration. Research limitations/implications The proposed set of measures for auditing purposes is relevant to closed‐loop supply chains which are related to products with short life cycles and during their lifetime can experience faulty and non‐faulty returns. The scope of the study presented may look limited; however, the application of the performance measures presented in this research can become a fundamental component of larger audit exercises. Further research should be carried out with supply chains on products with lifetime cycles that span long periods of time. Practical implications For industry sectors with closed‐loop supply chains, the availability of a set of measures that address the forward and reverse components plus integration can provide a detailed picture of the performance of value streams over traditional approaches to measurement that focus on only one component of the supply chain. The set of measures has the potential to be used to achieve better customer service and reduction in costs involving shipping, warehousing, labour and call centres. Originality/value The contribution of this research on closed‐loop supply chains is a methodology that defines performance measures for auditing purposes of the forward and reverse components of supply chains and assists in assessing the importance of integration between different tiers of supply chains.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,004 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».