云制造中资源服务提供商与多产品、多机器、多工人成本函数集成的差异定价

IF 0.6 Q3 ENGINEERING, MULTIDISCIPLINARY
Summyia Qamar, M. H. Aziz
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引用次数: 0

摘要

云制造(CMfg)平台提供了一个开放的市场,资源服务提供商(RSP)可以从价格歧视(PD)中获益,以换取特定的服务。然而,文献主要关注基于运营商的定价,而忽视了RSP的定价控制。因此,本研究制定了一个利润函数,其中收入通过根据客户类型调整价格来增加,而成本会计则通过基于资源分配的物料流成本会计(MFCA)来完成,因为MFCA为最小化浪费提供了全面的指导方针。将该模型转化为多因素的MINLP问题,如;零件类型,批量大小,零件路线,机器类型,能源消耗,工人类型和材料处理成本以及价格敏感的客户行为和需求。进一步,运用方差分析进行因子分析。结果表明,客户类型与需求呈正相关,而零件、机器和工人类型与利润呈负相关。并将该模型与参考价格效应和固定定价策略进行了比较。结果证明,为了从CMfg的多样化客户行为中获益,PD与最优资源配置为利润最大化提供了有效的解决方案。并将模型与参考价格效应和固定定价策略进行了比较,验证了模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differential pricing integrated with multi-product, multi-machine, multi-worker cost function for resource service providers in cloud manufacturing
Cloud manufacturing (CMfg) platform offers an open marketplace, where a Resource Service Provider (RSP) can benefit from Price Discrimination (PD) in return for specific services. However, the literature focused mainly on operator-based pricing and overlooked RSP pricing control. Therefore, this study formulates a profit function in which revenue is enhanced by adjusting prices according to customer types, while cost accounting is done by resource allocation based Material Flow Cost Accounting (MFCA) because MFCA provides a comprehensive guideline towards waste minimization. The proposed model is formulated into MINLP problem with multiple factors such as; part types, batch size, part routes, machine types, energy consumption, worker types and material handling cost as well as price sensitive customer behaviour and demand. Further, ANOVA is applied for factors analysis. The results suggests that customer types and demand are positively correlated, while parts, machines, and worker types are negatively correlated with profit. The model is also compared with reference price effect and fixed pricing strategy. Results validate that to benefit from diverse customer behaviour in CMfg, PD along with optimal resource allocation provides an effective solution for profit maximization. Model is also compared with reference price effect and fixed pricing strategy to validate its effectiveness.
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