Publication | Closed Access
An Approach to Decision-Based Design With Discrete Choice Analysis for Demand Modeling
252
Citations
27
References
2003
Year
Mathematical ProgrammingDesign DecisionEngineeringDiscrete Choice AnalysisSmart ManufacturingDbd FrameworkMarket DesignMultiple-criteria Decision AnalysisQuality Function DeploymentOptimal System DesignOperations ResearchChoice ModelCost EngineeringManagementLogisticsSystems EngineeringDbd ApproachMulticriteria EvaluationChoice-process DataDecision TheoryQuantitative ManagementDemand ManagementSingle CriterionDesignDemand ForecastingManufacturing SystemsUtility-driven ModelMarketingProduction PlanningDemand ModelingDecision-based DesignDecision ScienceDecision Technology
The paper argues for a single‑criterion Decision‑Based Design, extending Hazelrigg’s framework by using producer economic benefit as the sole criterion for alternative selection. It introduces Discrete Choice Analysis to build a product demand model that informs the economic benefit criterion, demonstrates the method on an academic universal motor design problem, and focuses on illustrating the approach rather than detailed design outcomes. When applied correctly, the enhanced DBD framework can unambiguously select the preferred alternative in a rigorous manner. The authors note open research issues for implementing the DBD approach.
In this paper, we present the importance of using a single criterion approach to Decision-Based Design (DBD) by examining the limitations of multicriteria approaches. We propose in this paper an approach to DBD as an enhancement to Hazelrigg’s DBD framework that utilizes the economic benefit to the producer as the single criterion in alternative selection. The technique of Discrete Choice Analysis (DCA) is introduced for constructing a product demand model, which is crucial for the evaluation of both profit and production cost. An academic universal motor design problem illustrates the proposed DBD approach. It appears that DBD, when applied correctly, is capable of unambiguously selecting the preferred alternative in a rigorous manner. Open research issues related to implementing the DBD approach are raised. The focus of our study is on demonstrating the approach rather than the design results per se.
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