Computer Aided Formulation

A Manual for Implementation

Inbunden, Engelska, 1990

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Formulation chemists and engineers, along with their research managers, have long known the difficult nature of formulation problems. This book is a manual to help them to identify key issues, design efficient experiments, and develop math models to resolve conflicting objectives. Specific solved examples, co-authored by chemists, show how well these methods work on industrial-strength problems and document the power and efficiency of computer aided formulation.This book is the first one to combine techniques of operations researching decision science, and statistics to solve formulation problems. Readers will appreciate its chapters on experimental design, which are easy to read and enjoyable.

Produktinformation

Utgivningsdatum1990-08-15
Mått163 x 243 x 20 mm
Vikt652 g
FormatInbunden
SpråkEngelska
Antal sidor320
FörlagJohn Wiley & Sons Inc
ISBN9780471187899

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Biokemisk teknik inom Naturvetenskap och teknik

Authors Note on Text ContributorsChapter 1The Formulation ProblemIntroductionBasic Principles of FormulatingMany IngredientsMeasuring Product QualityConflicting GoalsAdditional ChallengesIdentifying Experimental VariablesImplicit Formula and Process ConstraintsAlternate Forms of Independent VariablesControlling the Effects of Background NoiseApproaches to FormulationThe Artsy ApproachThe Modeling-Graphical ApproachThe Math-Programming ApproachInteractive Goal ProgrammingPrioritizing GoalsMath-Programming FormatComputer Aided FormulationExpert SystemsOther Expertise NeededImplementationSummaryDefinitionsBibliographyChapter 2The Experimental ProcessIntroductionDefining the Experimental SystemIndependent VariablesSystem ParametersUncontrolled VariablesSystem ConstraintsSummaryDefinitionsBibliographyChapter 3Experimental DesignIntroductionExperimental ModelsOne-Factor-at-a-Time (OFAT) DesignsSearch Approaches to Experimental DesignTwo-Factor-at-a-Time (TFAT) DesignsFactorial DesignsPartial Factorial DesignsPractical ConsiderationsBox-Wilson DesignsSimplex Centroid DesignsSummaryDefinitionsBibliographyChapter 4Fundamentals of Math ProgrammingIntroductionMath ProgrammingLinear ProgrammingProduct MixBlendingTransportationMultiperiod SchedulingPortfolio SelectionCoveringLinear Programming ModelingLinear Programming FormulationThe Graphical SolutionSensitivity AnalysisEconomic Impact of Changes to Right-Hand-Side ValuesComputation of Dual PricesComputation of Right-Hand-Side RangesReduced CostsNonlinear ProgrammingMultiple Objectives ModelsGoal ProgrammingSummaryDefinitionsBibliographyChapter 5Multiple Goal Decision MethodsIntroductionMultiple Objective ScenariosMultiobjective OptimalityFinding Efficient SolutionsDecision Space versus Objective SpaceUtility AnalysisProblems in Comparing AlternativesWhat Is Utility?Assessing Single Objective UtilityUsing Utility to Compare AlternativesPreference StructureRanking and WeightingUtility CurvesMultiobjective Decision ApproachesThe Weighting MethodThe Goal ApproachMultiattribute Utility AnalysisSummaryDefinitionsBibliographyChapter 6Expert System DesignPrinciples and Solved ExampleDeveloping Effective Regression ModelsSolved ExampleBackgroundExperimental ObjectiveWorking HypothesisExperimental SystemTestingRegression ModelingMeasured Moistness versus Variables ListedInteractive Nonlinear Goal ProgrammingObjective FunctionConstraintsGoal ConstraintsInteractive ProcessConclusionThe Integrated Expert SystemSummaryDefinitionsBibliographyAppendix 6.1Appendix 6.2Chapter 7An Analytic Hierarchy Approach for Evaluating Product FormulationsIntroductionThe Analytic Hierarchy ProcessAn Example of the ProcessExtensions to the Analytic Hierarchy ProcessAn Alternative Approach to Evaluate Product FormulationsSummaryDefinitionsBibliographyAppendix 7.1Chapter 8Plastics Compounding and FormulationIntroductionGetting StartedOverview of the Formulation ProblemSelection of the PolymerA General Overview of PolymersPolymer Properties and Screening TestsAdditives Used in Compounding PlasticsSome Tips to Speed the WorkSolved ExampleSummaryDefinitionsBibliographyChapter 9Formulating Laundry DetergentsDetergent PerformanceBleaching and BrighteningFresheningFabric SofteningSoilsFabricsProduct SafetyProduct StabilityProcessingFormulating FundamentalsParticulate SoilsOily SoilsStarchy SoilsFatty SoilsProteinaceous SoilsFabricsCleaning ConsiderationsSurfactantsWater HardnessAlkalinityApplication MethodSolved ExampleBackgroundProcedureLaboratory ConfirmationSummaryDefinitionsBibliographyChapter 10Case Study: Silica-Based DefoamersIntroductionDefinitionsFoam Problems in IndustryMechanisms of DefoamersSide EffectsSilica in DefoamersForms of SilicaMaking Silica HydrophobicPrior State of the ArtObjectivesProperties of the Perfect AntifoamOptimizing In-Situ Silica FormulationsExperimental DesignDependent VariablesIndependent VariablesUncontrolled VariablesSystem ParametersSystem ConstraintsResultsDevelopment of a Performance IndexChoosing the SiliconeChoosing the SilicaOptimizing the Promoter LevelOptimizing the Silicone LevelOptimizing the Cost-EffectivenessOptimizing the Mineral Oil LevelOptimizing the Dose RateOptimizing the Performance to Cost RatioSummaryDefinitionsBibliographyIndex