By Irfan M. Ovacik
The manufacturing facility scheduling challenge, that of allocating machines to competing jobs in production amenities to optimize or not less than enhance method functionality, is encountered in lots of diverse production environments. Given the aggressive pressures confronted via many businesses in state-of-the-art quickly altering international markets, superior manufacturing facility scheduling may still give a contribution to a flrm's good fortune. notwithstanding, although an in depth physique of study on scheduling types has been in life for a minimum of the final 3 many years, many of the recommendations presently in use in are particularly simplistic, and feature no longer made use of this physique of data. during this ebook we describe a scientific, long term learn attempt geared toward constructing powerful scheduling algorithms for complicated production amenities. We specialise in a speciflc business context, that of semiconductor production, and check out to mix wisdom of the actual creation method with the equipment and result of scheduling learn to increase potent approximate answer methods for those difficulties. the category of equipment we propose, decomposition equipment, represent a large family members of heuristic ways to giant, NP-hard scheduling difficulties that are utilized in different environments as well as these studied during this book.
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Additional info for Decomposition Methods for Complex Factory Scheduling Problems
Simon(1981) discusses systems of the latter type as "nearly decomposable" systems, in which interactions between subsystems are weak but not negligible. Thus, in the context of FSPs, a decomposition method which works well in a given shop configuration may perform quite poorly in another. The development of a decomposition method for a given FSP thus involves the following issues: 1) The choice of the appropriate decomposition for the system under consideration. This involves partitioning the constituent parts of the system into subsets, which we shall refer to as subproblems.
Decomposition Methods for Complex Factory Scheduling Problems © Kluwer Academic Publishers 1997 32 Chapter 3 - Review of Decomposition Methods problem is solved. This solution is then implemented until the next decision point, where the available information is updated and the process repeated. We can also decompose FSP's in different ways based on sets of scheduling entities. These decomposition procedures we shall refer to as entity-based decompositions. These can be based on workcenters, jobs or individual operations.
An interesting aspect of these decompositions is that the information base necessary to use them, real-time shop-floor status information that allows predictions of future events to be made with reasonable accuracy, is available in many commercial factory control systems today. It is also encouraging that although for many problems it is difficult to obtain enough accurate information about future events far enough into the future to guarantee optimal solutions, the use of relatively short forecast horizons leads to considerable improvements in computational performance over myopic procedures.
Decomposition Methods for Complex Factory Scheduling Problems by Irfan M. Ovacik