Inventory Replenishment Policies for Two Successive Generations of Technology Products Under Permissible Delay in Payments

Gaurav Nagpal, U. Chanda, Himanshu Seth, N. Ruparel
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Abstract

In this age of digitalization, when every industry is undergoing technological disruption, there is a big role of digital gadgets and technology products. A key feature of these digital gadgets is the short length of the product life cycle, since the newer and more advanced generations of technologies are developed regularly to replace the earlier conventional technologies. The traditional EOQ models that assume a constant demand cannot be used here. This research paper formulates an inventory optimization model for the multi-generational products under the trade credits and the credit-linked and innovation diffusion dependent demand. The study also performs a numerical illustration of the proposed model, and establishes important dynamics among the key variables. It also performs the sensitivity analysis with the cost of credit and the trade credit period. The paper concludes with the managerial implications for the inventory practitioners and the possible areas of extension for this research in the future.
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允许延迟付款情况下连续两代技术产品的库存补充政策
在这个数字化时代,当每个行业都在经历技术颠覆时,数字设备和技术产品扮演着重要的角色。这些数码产品的一个主要特点是产品生命周期短,因为更新和更先进的技术是定期开发的,以取代早期的传统技术。假设需求恒定的传统EOQ模型不能在此使用。本文建立了贸易信用、信用关联需求和创新扩散依赖需求下的多代产品库存优化模型。该研究还对所提出的模型进行了数值说明,并建立了关键变量之间的重要动态关系。并对信贷成本和贸易信贷期限进行了敏感性分析。最后,对库存从业者的管理意义和未来可能的推广领域进行了总结。
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来源期刊
CiteScore
1.90
自引率
43.80%
发文量
59
期刊介绍: The International Journal of Information Systems and Supply Chain Management (IJISSCM) provides a practical and comprehensive forum for exchanging novel research ideas or down-to-earth practices which bridge the latest information technology and supply chain management. IJISSCM encourages submissions on how various information systems improve supply chain management, as well as how the advancement of supply chain management tools affects the information systems growth. The aim of this journal is to bring together the expertise of people who have worked with supply chain management across the world for people in the field of information systems.
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