Quality solution of scheduling is one of the key factors to make FMS profitability high. The scheduling problems may be solved by sophisticated operational research approaches and as well with simple heuristic methods. Having a solution for a scheduling problem it is a natural wish to improve it. On some stage, at the original formulation of the problems, these improvements become very difficul...

An improved fruit fly optimization algorithm (iFOA) is proposed in this paper for solving the lot-streaming flow-shop scheduling problem (LSFSP) with equal-size sub-lots. In the proposed iFOA, a solution is represented as two vectors to determine the splitting of jobs and the sequence of the sub-lots simultaneously. Based on the encoding scheme, three kinds of neighborhoods are developed for ge...

Assembly job shop problem (AJSP) is an extension of classical job shop problem (JSP). AJSP first starts with a JSP and appends an assembly stage after job completion. Lot Streaming (LS) technique is defined as the process of splitting lots into sub-lots such that successive operation can be overlapped. In this paper, the previous study of LS to AJSP will be extended by introducing resource cons...

Lot Quality Assurance Sampling (LQAS) applications in health have generally relied on frequentist interpretations for statistical validity. Yet health professionals often seek statements about the probability distribution of unknown parameters to answer questions of interest. The frequentist paradigm does not pretend to yield such information, although a Bayesian formulation might. This is the ...

This paper deals with scheduling problems of the Flexible manufacturing systems (FMS). The objective is to improve the utilization of FMS. Lot Streaming (LS) is used to meet this objective. In this paper a comparative study is performed between the applications of new methods: Brute Force method (BFM) and Joinable Schedule Approach (JSA). Case studies for Flow Shop Systems (FSS) are performed. ...

Distributed live streaming has brought a lot of interest in the past few years. In the homogeneous case (all nodes having the same capacity), many algorithms have been proposed, which have been proven almost optimal or optimal. On the other hand, the performance of heterogeneous systems is not completely understood yet. In this paper, we investigate the impact of heterogeneity on the achievable...

Many new data centres have been built in recent years in order to keep up with the rising demand for server capacity. These data centres require a lot of electrical energy and cooling. Big data and video streaming are two heavily used applications in data centres. This paper experimentally investigates the possibilities and benefits of using cheap, low power and widely supported hardware in the...

With the change in people's music consumption patterns, streaming media enterprises have attracted more and attention. Spotify is one of largest at present, its rapid development has been attracting As market becomes increasingly competitive, Spotify's single business model limited. Through combination qualitative quantitative research, this paper concludes that main problems current are as fol...