Real Optimization with SAP® APOSpringer Science & Business Media, 2 thg 9, 2006 - 321 trang Optimization is a serious issue, touching many aspects of our life and activity. But it has not yet been completely absorbed in our culture. In this book the authors point out how relatively young even the word “model” is. On top of that, the concept is rather elusive. How to deal with a technology that ?nds applicationsinthingsasdi?erentaslogistics,robotics,circuitlayout,?nancial deals and tra?c control? Although, during the last decades, we made signi?cant progress, the broad public remained largely unaware of that. The days of John von Neumann, with his vast halls full of people frantically working mechanical calculators are long gone. Things that looked completely impossible in my youth, like solving mixed integer problems are routine by now. All that was not just achieved by ever faster and cheaper computers, but also by serious progress in mathematics. But even in a world that more and more understands that it cannot a?ord to waste resources, optimization remains to a large extent unknown. R It is quite logical and also fortunate that SAP , the leading supplier of enterprise management systems has embedded an optimizer in his software. The authors have very carefully investigated the capabilities and the limits of APO. Remember that optimization is still a work in progress. We do not have the tool that does everything for everybody. |
Nội dung
2 | 21 |
Model Building in SAP APO Supply Network Planning | 41 |
4 | 79 |
Planning in Semiconductor Manufacturing | 105 |
Consumer Products | 119 |
Customized Optimization Solutions for the Automotive | 125 |
Operative Planning in the Process Industry | 143 |
9 | 204 |
Summary Visions and Perspective | 253 |
A The Hitchhikers Guide to SAP APO 273 | 272 |
Glossary | 297 |
List of Figures | 303 |
About the Authors | 313 |
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Thuật ngữ và cụm từ thông dụng
ABAP Advanced Planning bucket cartridge components compute constraints CPLEX created defined delivery demand points developed evolutionary algorithms example extruder feasible point forecast goal goal programming heuristics ILOG implemented infeasible input integer linear programming integration inventory Kallrath linear programming load location product LP problem LP relaxation master data mathematical optimization maximize methods MILP minimize mixed integer mode changes mySAP ERP objective function optimal solution optimization model optimization problems optimization run penalty costs period planner planning book planning run planning version plant PP/DS procurement production planning quantity reactor safety stock SAP AG SAP APO SAP R/3 scenario scheduling screen Sect semiconductor setup shipments simplex algorithm smelter SNP optimizer SNP planning solved specific srpk supply chain management supply chain model supply chain planning Supply Network Planning tanks tion TP/VS transportation lanes variables
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