Sentence examples for coordinating decisions from inspiring English sources

In the absence of a strong Federal response, adjacent states may have trouble coordinating decisions over bridge closings and other shared infrastructure.

The proposed tools can be used for coordinating decisions on the water supply of regional economic systems with actual and projected indicators of socio-economic development of the respective regions for a strategic perspective.

Despite the undeniable appeal and importance of coordinating decisions across products design, manufacturing process design, and supply chain design to both science and practice, we know very little about how to do so to maximize operational, supply chain, and firm performance.

We found that our mobile learning experience and its external representations supported the following: (a) engagement in deep learning in the natural setting as evidenced by coordinating decisions with photographic evidence; (2) use of procedural or tactical strategies to approach the problem; and (3) use of real-time decision making strategies about tree life cycles.

Whereas the lead organization is in charge of coordinating decisions made by the network members, the members are responsible for applying the decisions.

On the contrary, it may have advantages, thanks to coordinating decisions at corridor level.

Taleizadeh and Noori-daryan (2016) optimized the total cost of the supply chain network by coordinating decision-making policy using Stackelberg Nash equilibrium.

This ability to integrate clinical and financial information, across health and social care, is viewed as important for monitoring cost-effectiveness, as well as for facilitating service planning, identifying high risk patients, and coordinating decision making across providers [ 29, 30, 39, 40].

The paper presents an approach to design optimal contracts to coordinate decisions within a supply chain.

Decision and control processes must be distributed such that pursuers can make coordinated decisions on their own.

Agents use advanced optimization and risk assessment methods for decision support, and allow to model decentralized yet coordinated decisions about performance and risk management (e.g., maintenance or restoration), mimicking behavior and system response observed in practice.