Integrate Manufacturing Planning to Cloud Manufacturing Framework

Author(s):  
Xiangyun Li ◽  
Luping Zhang ◽  
Chunxia Yu

We provide a cloud manufacturing based manufacturing planning framework for small and medium-sized enterprises. Manufacturing planning is conducted by separate units in the cloud instead of in corporations or manufacturing platforms. Disorders can be removed by the adoption of our newly-introduced units. To retain the workability of our new framework, three assumptions are imposed. A concrete case on process planning and scheduling is used for illustration of the necessity of our assumptions and operational mechanism of our design. Finally, a preliminary discuss on how intellect resources as well as small and medium-sized enterprises are involved to create a sustainable environment for small and medium-sized enterprises is placed.

2005 ◽  
Vol 5 (2) ◽  
pp. 53-62
Author(s):  
Terrance M. Brueck

Utilities today must adapt quickly to complex changes in workforce, infrastructure, technology, and regulations, as well as outside factors of the economy, security issues, and societal trends. Linear, cause-and-effect strategic planning does not work well in today's world. Given these uncertainties, how can utilities develop meaningful and useful strategic plans? Faced with these challenges, a group of 18 leading international utilities, assisted through IWA, has developed new ways of strategic planning. This project, sponsored by AwwaRF and conducted by EMA, has created a dynamic and flexible strategic planning framework. A new framework, coupled with many of these utilities' experiences in strategic planning, is the subject of this paper.


Author(s):  
Halil Ibrahim Demir ◽  
Onur Canpolat

Process planning, scheduling and due-date assignment are three important manufacturing functions in our life. They all try to get local optima and there can be enormous loss in overall performance value if they are handled separately. That is why they should be handled concurrently. Although integrated process planning and scheduling with due date assignment problem is not addressed much in the literature, there are numerous works on integrated process planning and scheduling and many works on scheduling with due date assignment. Most of the works in the literature assign common due date for the jobs waiting and due dates are determined without taking into account of the weights of the customers. Here process planning function is integrated with weighted shortest processing times (WSPT) scheduling and weighted slack (WSLK) due date assignment. In this study unique due dates are given to each customer and important customers gets closer due dates. Integration of these three functions is tested for different levels of integration with genetic algorithms, evolutionary strategies, hybrid genetic algorithms, hybrid evolutionary strategies and random search techniques. Best combinations are found as full integration with genetic search and hybrid genetic search. Integration of these three functions provided substantial improvements in global performance.


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