A Study of Solution of Combinatorial of New Product Problem Using Constraint Programming Planning and Simulation
DOI:
https://doi.org/10.29070/n0qt9q07Keywords:
combinatorial, new product problem, constraint programming, planning, simulation, decision support solutions, target costs, manufacturing, promotion, product development, prototyping, limited satisfaction, parametric estimates, relationships, restrictive programming, project requirement, resources, alternative scenarios, production process limits, total costs, declarative approach, product reliabilityAbstract
Currently used decision support solutions allow decision-makers to estimate and compare the cost to the target costs of developing a new product, its manufacturing and promotion. These solutions are however insufficient to support simulation of conditions for identifying the specific costs. The proposed approach provides a framework to look for potential variants to achieve the target cost of production. This paper deals with the product development prototyping problem described in terms of the problem of limited satisfaction. The proposed method uses parametric estimates to identify relationships between different variables and restrictive programming to find variants to complete the project within the resources and project requirement of the company. Experiment results show that restrictive programming provides effective search strategies to find acceptable solutions. The proposed approach therefore provides decision makers with the option of obtaining alternative scenarios within production process limits. This exceeds current methods dedicated to the assessment of a new product's total costs. This paper uses the declarative approach to shape cost of production, but can be expanded easily to other aspects of product development (e.g., product reliability).Downloads
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