Individual Adoption of ERP System in Intelligent Manufacturing Supply Chain Based on System Dynamics

Fierce competition in the global markets forced companies to improve the design and management of supply chains, because companies are always looking for more profit and higher customer satisfaction. The emergence of the green supply chain is one of the most important developments of the last decade. It provides an opportunity for companies to adjust their supply chains according to environmental goals and sustainability. The integrated production-inventory-routing is a new field that aims to optimize these three decision-making levels. It can be described as follow: a factory produces one or more products, and sells them to several customers (by direct delivery or a specific customer chain). The current study aims to model a production-inventory-routing system using a system dynamics approach to design a green supply chain under uncertain conditions. For this purpose, first, the association between selected variables was determined. Then, the proposed model was validated. Finally, to identify variables with the highest influence, four scenarios were developed. The results indicated that minimum total transportation cost, the total warehouse capacity of the supply chain, and the maximum production rate are the most influential strategies to achieve ideal condition.

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Research on the influence of relation embeddedness on innovation performance of manufacturing supply chain alliances using expert fuzzy rule –intermediary role of shared mental model

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189651 ◽

2021 ◽

pp. 1-8

Author(s):

Guo Lifang ◽

Cui Yuwen ◽

Wu Yamin ◽

Ma Jiaqi

Keyword(s):

Supply Chain ◽

Mental Model ◽

Fuzzy Rule ◽

Innovation Performance ◽

Market Demand ◽

Shared Mental Model ◽

Rule Based System ◽

Manufacturing Supply Chain ◽

Intermediary Role

The innovation and development of manufacturing supply chain alliance is an important way for enterprises to meet the increasing market demand and maintain the competitive advantage. From the perspective of embeddedness, the research model of relation embeddedness on innovation performance of manufacturing supply chain was constructed based on AMOS. Shared mental model was selected as intermediary variable to study the influence of relation embeddedness, shared mental model and innovation performance of manufacturing supply chain alliances. Expert fuzzy rule based system is utilized for measuring the performance of manufacturing supply chain alliances. The conclusion shows that relation embeddedness is significantly positive shared mental model and innovation performance. Shared mental model is positively affects alliance innovation performance and plays a part of intermediary role between relational embedding and alliance innovation performance. Practice implicates that enhance the level of relation embeddedness can promote the formation of shared mental model and improve the innovation performance of manufacturing supply chain alliance.

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