Abstract
AbstractThere are usually some leftovers (usable pieces of raw material) and scraps (unusable pieces of raw material).generated after the completion of a manufacturing process. These leftovers consist of many different types, materials, styles and sizes so the use of such materials is difficult to manage, resulting in a significant material management problem for manufacturers. This study examines ways to use these leftovers and proposes the application of a genetic algorithm to handle the problem of matching usable leftovers to incoming orders. In order to verify the feasibility of the solution, a decision support system was implemented, based on a genetic algorithm. With lots of experimental results, we conclude this method is thus of considerable value to the managers of manufacturing factories.
Highlights
After the completion of a manufacturing procedure, there is usually a certain amount of scraps and leftovers generated
Since the sizes of usable leftovers differ from the sizes of the raw materials, which are of a fixed size, an efficient and flexible Bill of Material (BOM) listing all the parts and sub-assemblies required to manufacture a product has to be designed in order to utilize these leftovers The research problem becomes more complicated with the increasing number and quantity of very different leftovers and an efficient method is needed to solve the problem
After the data were obtained, study adopted a bootstrap simulation of the usable leftover pieces of raw material, which was used to increase the number of samples
Summary
After the completion of a manufacturing procedure, there is usually a certain amount of scraps (unusable leftover material) and leftovers (usable pieces of raw material) generated. Cherri et al.[12] regarded the usable leftovers, consisting of nonstandard objects, as another stock reduction problem, and solved it using a heuristic algorithm. We constructed a GA procedure to solve the problem of focal optimization For both the manufacturing and services industries, the researchers of the problems facing real-world operations should take advantage of the continual innovations in information technology, as they can help to improve a firm’s competitive advantage[26]. On the basis of the results of these earlier studies, this study applied a heuristic algorithm to solve the problem of matching and using leftovers. By using this algorithm to develop a DSS, the results obtained can be clearly and presented. This system was tested using a simulation of a real case to validate the usefulness and reliability of the method
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