In the current paper, we study the concept of dynamic scheduling in flexible flow Shop with limited carrier under stochastic machine breakdowns and processing time. In most flexible flow shop scheduling methods reported in the literature consider a determinist environment, where all data of the problem are known in advance. Most of these works focused on the development of methods to produce a ...

This research considers a fresh-product supply chain consisting of a single-buyer, a single-supplier for deteriorating products where the market demand is dependent on the retail price, fresh rate, and remaining rate. Firstly, in a competitive model, the primary decision variables (i.e., the supplier's wholesale price and preservation-technology investment and also buyer's order quantity and re...

In recent years, comprehensive researches have provided ample support for the supply chains in the coordinated decision-making framework. However, the issue of closed-loop supply chain coordination considering various transportation modes has not yet been addressed in the literature. In this paper, a two-echelon closed-loop supply chain consisting of a manufacturer and a retailer is investigate...

A centralized scheduler can become a bottleneck for placing the tasks of many-task application on heterogeneous cloud resources. We have previously demonstrated that decentralized vector scheduling approach based performance measurements be used successfully this task placement scenario. then extended to latency measurements. Each node collects from its neighbors an overlay graph, measures comm...

The class of low-cost, distributed ubiquitous systems represents a computing mode where a system has small, inexpensive networked processing devices, distributed at all scales throughout business activities and everyday life. The unique features of such a class of ubiquitous systems make the security analysis different from that for the centralized computing paradigms. This paper presents a hol...

Using reinforcement learning technologies to learn offloading strategies for multi-access edge computing systems has been developed by researchers. However, large-scale are unsuitable learning, due their huge state spaces and behaviors. For this reason, work introduces the centralized training decentralized execution mechanism, designing a model systems. Considering cloud server several servers...

Pricing is one of the major aspects of decision making in supply chain. In the previous works mostly a centralized environment is considered indicating the retailers cannot independently apply their decisions on the pricing strategy. Although in a two-echelon decentralized environment it may be possible that supply chain contributors have encountered with different market power situations which...