Edge computing provides physical resources closer to end users, becoming a good complement cloud computing. With the rapid development of container technology and microservice architecture, orchestration has become hot issue. However, container-based scheduling problem in edge is still urgent be solved. In this paper, we first formulate as multi-objective optimization problem, aiming optimize n...

The increased demand for highly customized products and the need shortening lead times competitive advantage has also affected automotive industry. Companies that handle markets in a multi-faced network of demand, like Europe, to be flexible, responsive, follow customer-focused policy. Therefore, there is an automated solutions not only product design but manufacturing section. Such replace man...

The cloud has been widely used as a distributed computing platform for running scientific workflow applications. Most of the providers encourage use their underutilized resources spot instances much cheaper prices compared with common on-demand instances, however, promise lower costs results in volatility such that can be interrupted at any time by providers. Many scheduling algorithms have pro...

Increased blood demand and limited supply make shortages a significant problem in the chain, which may cause immeasurable losses. The objective of this paper is to develop scheduling scheme products during shortages, considering supply. For purpose, bi-objective mixed-integer programming model proposed, one minimises maximum shortage hospitals as well other latest arrival time. To solve model, ...

this study investigates the coordination of production scheduling and maintenance planning in theflow shop scheduling environment. the problem is considered in a bi-objective form, minimizing themakespan as the production scheduling criterion and minimizing the system unavailability as themaintenance planning criterion. the time interval between consecutive maintenance activities as well as the...