What are the problems of internal supply in car manufacturer?
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The internal supply chain in the car manufacturing industry faces several challenges. These include issues such as optimizing supply routes within car assembly factories , dealing with fluctuations in demand and offering a wide range of optional features to mitigate reduced demand effects , and enhancing internal control measures to reduce risks of Damage in Transit (DIT) and Missing and Discrepancy (MAD) when exporting cars overseas . Additionally, the Chinese automotive industry struggles with internal competition, high logistics costs, and a lack of driving force to improve supply chain management, impacting overall industry development . These problems highlight the complexity and importance of efficient internal supply chain management in the car manufacturing sector.
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| Papers (5) | Insight |
|---|---|
Open access 01 Jun 2017 1 Citations | Internal control issues, such as Damage in Transit (DIT) and Missing and Discrepancy (MAD), impact car manufacturers' supply chain when exporting cars overseas, leading to increased costs and operational challenges. |
2 Citations | Internal supply problems in car manufacturing include inflexible production systems, lack of total cost-based planning tools, and the need for integrated production systems with suppliers to enhance customer service and reduce costs. |
Open access•Journal Article 1 Citations | Internal supply chain issues in the Chinese automobile industry include internal competition, high logistics costs, and a lack of driving force for supply chain management improvement, hindering industry development. |
| The internal supply issues in the car manufacturing industry include national tax variations, consumer requirements, distribution methods, and currency fluctuations, necessitating specific interventions for the internal market's development. | |
03 Dec 2017 3 Citations | The main problem addressed is optimizing internal supply routes in car manufacturing, aiming to enhance logistics efficiency and performance through route optimization and simulation-based evaluation. |
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