Green manufacturing (especially the right production scale) and optimization of logistics transportation to ensure economic benefits) have become challenging issues. This paper focuses on planning scheduling dynamic supply chain via H∞ control scheme. considers scale resource complex under impact COVID-19 pandemic.Firstly, information green is collected, a new mathematical model including multi...

This paper examines and compares various manufacturing policies which manufacturer may adopt so as to improve the performance of a vendor managed inventory (VMI) partnership. The goal is to maximize the combined cumulative profit of supply chain while minimizing relevant inventory management costs. The supply chain is a two-level system with a single manufacturer and single retailer at each lev...

Due to the highly complex nature of a dynamic supply chain, modeling and analyzing of supply chain processes using formal and quantitative approaches is a challenging task. Modeling and analysis of such a complex system is crucial for performance evaluation and for comparing competing supply chains. Since today's manufacturing enterprises are more strongly coupled in terms of material, informat...

Some dynamic supply chain problems are instances of a class of distributed optimization problems that TAEMS and other intelligent agents were made to address. In this paper we define a sanitized version of a discrete distributed dynamic supply chain management problem and specify how TAEMS agents, equipped with new coordination mechanisms, are being used to automate and manage the supply chain.

In the presence of fuzzy or linguistic and dynamic variables, dynamic modeling of real-world systems is a challenge to many decision makers. In such environments with fuzzy time-dependent variables, the right decisions and the impacts of possible actions are not precisely known. The presence of linguistic variables in a dynamic environment is a serious cause for concern to most practicing decis...

There are many stakeholders involved in supply chain management, and the supply chain itself is a complex, dynamic network that involves suppliers, manufactures, warehouses, retailers, and customers. Ontologies on the other hand are semantic primitives that specify a shared domain of knowledge. Having ontologies for supply chain management will facilitate knowledge sharing and communication amo...

In this paper, a bi-objective model is presented for dynamic and integrated network design of a new entrant competitive closed-loop supply chain. To consider dynamism and integration in the network design problem, multiple long-term periods are regarded during planning horizon, so that each long-term period includes several short-term periods. Furthermore, a chain to chain competition between t...

the manufacturing organizations today are having a competition of supply chain versus supply chain. existing research work fails to relate human metrics with supply chain performance. the authors intend to empirically assess the effects of human metrics on supply chain performance in the context of indian manufacturing organizations. a rigorous literature review has identified 12 variables. the...

nowadays, in turbulent and violate global markets an agile supply chain (asc) network is frequently considered as a dominant competitive advantage for survival. to achieve the competitive advantage, companies must align with suppliers and customers to streamline operations, as well as agility beyond individual companies. there are many definitions and models about agile supply chain and most of...

regarding to the diversified needs of domestic and global customers and various products of domestic and global competitors, importance of agility in supply chain management becomes more important. suppliers have to provide materials and essential resources of manufacturers in a short time without any lead time.in this research, we identified many criteria for agility in sanitation supply chain...