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An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach

机译:考虑概率需求和协作方法的不完美生产系统的EPQ库存模型

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Purpose-The purpose of this paper is to propose an economic production quantity (EPQ) inventory model considering imperfect items and probabilistic demand for a two-echelon supply chain. The production process is imperfect and the imperfect quality items are removed from the lot size. The demand rate of the inventory system is random and follows an exponential probability density function and the demand of the retailers is depending on the initiatives of the sales team. Design/methodology/approach - Two approaches are examined. In the non-collaborative approach, any member of the supply chain can be the leader and takes decisions to optimize the profits, and in the collaborative system, all members make joint decisions about the production, supply, sales and inventory to optimize the profits of the supply chain members. The calculus approach is applied to find the maximum profit related to the members of the supply chain. Findings - A numerical example is presented to illustrate the performance of the EPQ model. The results show that collaborative approach generates greater profits to the supply chain and the market's demand represents the variable behavior and uncertainty that is generated in the replenishment of a supply chain. Originality/value - The new and major contributions of this research are: the inventory model considers demand for products is random variable which follows an exponential probability distribution function and it also depends on the initiatives of sales teams, the imperfect production system generates defective items, different cycle time are considered in manufacturer and retailers and collaborative and non-collaborative approaches are also studied.
机译:目的 - 本文的目的是提出经济生产量(EPQ)库存模型,考虑到两个梯度供应链的不完美物品和概率需求。生产过程是不完美的,不完美的质量项目从批量中取出。库存系统的需求率是随机的,遵循指数概率密度函数,零售商的需求取决于销售团队的举措。设计/方法/方法 - 检查两种方法。在非协同方法中,供应链的任何成员都可以是领导者,并决定优化利润,并在合作系统中,所有成员都有关于生产,供应,销售和库存的联合决定,以优化利润供应链成员。应用微积分方法以查找与供应链成员有关的最大利润。调查结果 - 提出了一个数字示例以说明EPQ模型的性能。结果表明,协作方法对供应链产生更大的利润,市场的需求代表了在供应链的补充中产生的可变行为和不确定性。原创性/价值 - 本研究的新和主要贡献是:库存模型考虑对产品的需求是随机变量,其遵循指数概率分布功能,而且还取决于销售团队的举措,不完美的生产系统产生有缺陷的物品,在制造商和零售商中考虑了不同的循环时间,也研究了零售商和协作和非协同方法。

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