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A Multi-item EPQ Model with Variable Demand in an Imperfect Production Process

机译:一种多项目EPQ模型,在不完美的生产过程中具有变量需求

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Nowadays, to survive and promote the market competition, multi-item business strategy is more effective for any production/manufacturing sector. Here, an attempt has been made to develop a multi-item production inventory model, especially for seasonal products for a finite time horizon. Production process is not 100% reliable, and for this reason some imperfect quality items are produced, and these items are immediately remanufactured incurring some cost to get back its originality. Both demands and production rate of the items are time-sensitive. It is also assumed that production cost per unit varies with defective rates as well as production rates. Imposing two constraints, space and investment, profit maximization model is formulated. Incorporating inflation and time value of money into the model, total profit is represented as a definite integral with time period as its upper limit. The profit function becomes an optimal control problem. The defective rates of the production process are determined by variational calculus. As today's competitive business transaction is full of uncertainty, another model is considered with fuzzy constraints and solved. Fuzzy constraints are converted to the crisp one, following fuzzy possibility. For the illustration of the developed models, numerical experiments and also some sensitivity analyses are performed and presented.
机译:如今,为了在市场竞争中生存和促进市场竞争,多项目业务战略对任何生产/制造业更有效。这里,已经尝试开发多项生产库存模型,特别是对于有限时间范围的季节性产品。生产过程不100%可靠,因此产生了一些不完美的质量项目,并且这些物品立即再制造了一些成本以恢复其原创性。物品的需求和生产率都是时间敏感的。还假设每单位的生产成本因缺陷而异,以及生产率而异。强加两个限制,空间和投资,制定了利润最大化模型。将金钱的通货膨胀和时间价值纳入模型中,总利润被代表为一个明确的时间,随着时间段的上限。利润函数成为最佳控制问题。生产过程的缺陷率由变分微积分确定。由于今天的竞争性商业交易充满了不确定性,另一种模型被认为是模糊的限制和解决。在模糊可能性之后,模糊约束被转换为清晰的一个。对于开发模型的说明,进行数值实验和一些敏感性分析并呈现。

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