The increasing steel price makes a tool with a high quality algorithm to reduce steel estimation ... more The increasing steel price makes a tool with a high quality algorithm to reduce steel estimation waste more important. The optimization of reinforced steel bar estimates is a classical cut-optimization problem with one exception, because reinforced steel bars are cut in different lengths with five standard measuring units (6-m, 7.5-m, 9-m, 10.5-m, and 12-m), the algorithm should be able to select the best possible steel length with lesser scrap waste therefore minimizing the cost and steel wastage. This paper evaluated and identified weaknesses of existing bin packing and cutting stock algorithm when applied to steel estimation but suggests a modification to optimize the process. The evaluation of the bin packing and cutting stock algorithm when used for estimating steel cuts and scrap reveals several weaknesses as compared with the modified bin packing and cutting stock algorithm that proves to be able to optimize reinforced steel bar estimates. The proponents are still open to the idea that other researchers delve to identify another type of bin packing and cutting stock problem optimization that provides the best fit through finding the length of steel that automatically categorizes not only the best scrap but also can maximize space. Other researchers should focus on a combinatorial process of cuts for bin packing.
The increasing steel price makes a tool with a high quality algorithm to reduce steel estimation ... more The increasing steel price makes a tool with a high quality algorithm to reduce steel estimation waste more important. The optimization of reinforced steel bar estimates is a classical cut-optimization problem with one exception, because reinforced steel bars are cut in different lengths with five standard measuring units (6-m, 7.5-m, 9-m, 10.5-m, and 12-m), the algorithm should be able to select the best possible steel length with lesser scrap waste therefore minimizing the cost and steel wastage. This paper evaluated and identified weaknesses of existing bin packing and cutting stock algorithm when applied to steel estimation but suggests a modification to optimize the process. The evaluation of the bin packing and cutting stock algorithm when used for estimating steel cuts and scrap reveals several weaknesses as compared with the modified bin packing and cutting stock algorithm that proves to be able to optimize reinforced steel bar estimates. The proponents are still open to the idea that other researchers delve to identify another type of bin packing and cutting stock problem optimization that provides the best fit through finding the length of steel that automatically categorizes not only the best scrap but also can maximize space. Other researchers should focus on a combinatorial process of cuts for bin packing.
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This paper evaluated and identified weaknesses of existing bin packing and cutting stock algorithm when applied to steel estimation but suggests a modification to optimize the process.
The evaluation of the bin packing and cutting stock algorithm when used for estimating steel cuts and scrap reveals several weaknesses as compared with the modified bin packing and cutting stock algorithm that proves to be able to optimize reinforced steel bar estimates.
The proponents are still open to the idea that other researchers delve to identify another type of bin packing and cutting stock problem optimization that provides the best fit through finding the length of steel that automatically categorizes not only the best scrap but also can maximize space. Other researchers should focus on a combinatorial process of cuts for bin packing.
This paper evaluated and identified weaknesses of existing bin packing and cutting stock algorithm when applied to steel estimation but suggests a modification to optimize the process.
The evaluation of the bin packing and cutting stock algorithm when used for estimating steel cuts and scrap reveals several weaknesses as compared with the modified bin packing and cutting stock algorithm that proves to be able to optimize reinforced steel bar estimates.
The proponents are still open to the idea that other researchers delve to identify another type of bin packing and cutting stock problem optimization that provides the best fit through finding the length of steel that automatically categorizes not only the best scrap but also can maximize space. Other researchers should focus on a combinatorial process of cuts for bin packing.