A Study on the Effect of New Technologies on Supply Chain Coordination
Notice bibliographique
Résumé
In this globalized economy, the fierce competition in the market, added to the increasingly exigences from customers demanding products with more added value and lower prices, force organizations to be always at the vanguard to maintain their positioning in the market. One critical ingredient for maintaining the competitive advantage is the acquisition and implementation of new technologies for achieving process and product enhancement. This is specially the case for high tech industries in sectors like aerospace, pharmaceutic and telecommunication, to name but a few. But investment in new technologies is a challenging decision due to their complexity for implementation and the cost involved. Therefore, it is of utmost importance to understand the effect of new technologies on the performance of the acquiring company and on its supply chain. Although the existence of an ample number of empirical studies in the current literature describing the relation between supply chain (SC) operation and new technologies acquisition, analytical research on this matter is quite scarce. In this thesis, our objective is to model and analyze the effect of new technologies on the SC members performance. We propose two main directions of research: (1) impact of technology transfer among SC members; and (2) impact of technology investment in the SC. In the first direction, we consider that an existing technology in the supply chain is transferred from its owner to a different member in the system. In the second direction, we assume that the new technology is independently acquired by an organization in the supply chain, i.e. obtained from a third-party or through internal R&D. Furthermore, we analyze the impact of new technologies on the performance of different system structures. On the first stream of research, we discuss the effect of technology transfer on a one-supplier one-manufacturer supply chain system involving technology transfer and market sharing. We consider the technology transfer decision to be made by the manufacturer, the key technology owner, as the decision affects its market share. It is proposed three models for analyzing the system performance: (i) a supply chain without technology transfer, (ii) a supply chain with technology transfer but without supplier’s market sharing, and (iii) a supply chain with technology transfer and supplier’s market sharing. Findings show that the optimal profit of the manufacturer in a supply chain with technology transfer and market sharing is typically greater than those without technology transfer or market sharing. The analysis also provides the conditions for the manufacturer to enhance technology transfer when the supplier’s market is open to the final products. On the second stream of research, we explore the impact of technology investment on supply chain coordination. We first investigate the optimal pricing and technology investment decisions in a system consisting of one manufacturer and two competing retailers. On one hand, the manufacturer is required to invest in new technologies in order to improve its performance. On the other hand, the retailers compete in the same market with different products. We determine the conditions at which the cost-revenue sharing contract and the two-part tariff contract are capable of coordinating the one-manufacturer two-retailer supply chain system. Lastly, we analyze a system consisting of multiple complementary suppliers and a single manufacturer. It is assumed that the suppliers are required to invest in new technologies in order to participate in the supply chain negotiations. While the manufacturer initially offers a wholesale price contract to the suppliers. We compare both the decentralized and centralized settings, and show that if the supply chain members decide to cooperate and coordinate the system, they could increase the overall expected profit by at least 1/3 compared to the non-cooperative scenario. We then find that although the cost-sharing contract is unable to coordinate the system, the cost-revenue sharing contract is capable of coordinating the multi-supplier and single-manufacturer supply chain. Moreover, we establish the conditions at which the cost-revenue sharing contract offers a win-win profit scenario to all parties of the negotiation and review how bargaining analysis can lead to the optimal negotiation ability of each member.
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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 | 0,012 |
| 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 | 0,003 | 0,004 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 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 ».