首页> 外文期刊>International Journal of Physical Distribution & Logistics Management >Centralised grocery supply chain planning: improved exception management
【24h】

Centralised grocery supply chain planning: improved exception management

机译:集中式杂货供应链计划:改进的异常管理

获取原文
获取原文并翻译 | 示例
           

摘要

Purpose - The purpose of this paper is to present an operations model for retail replenishment collaboration and identifies its expected benefits and limitations for the members of a grocery supply chain. Design/methodology/approach - A case study is conducted on a development project between a grocery wholesaler and two grocery product suppliers. Data are collected through semi-structured interviews with key respondents from four different companies. Findings - Despite advances in collaborative practices in grocery supply chains, retail store replenishment management faces challenges. In particular, demand exceptions management is a challenge in the grocery industry. A replenishment model called Collaborative Buyer-Managed Forecasting (CBMF) creates a proactive planning approach and a platform for close collaboration in the supply chain. The centralised forecasting transforms retailer sales data into a plan which serves the whole supply chain by creating one-order forecast. The CBMF model facilitates efficient demand management, improves demand responsiveness and promotes better availability of products in retail stores. Research limitations/implications - CBMF provides a replenishment planning model for the whole supply chain. It is tested to a limited extent in one supply chain. Practical implications - The study provides managers with a better understanding of the benefits of centralised forecasting and closer replenishment collaboration, especially during periods of exceptional demand. Originality/value - A new approach for managing demand in grocery supply chains with centralised forecasting is provided.
机译:目的-本文的目的是提出零售补货协作的运营模型,并确定其对杂货供应链成员的预期收益和限制。设计/方法/方法-对杂货批发商和两个杂货产品供应商之间的开发项目进行了案例研究。数据是通过对来自四家不同公司的主要受访者进行的半结构化访谈来收集的。调查结果-尽管杂货供应链中的协作实践有所进步,但零售商店补货管理仍面临挑战。特别是,需求例外管理是杂货业的一项挑战。一个称为“合作者购买者管理的预测”(CBMF)的补货模型创建了一种主动的计划方法和一个用于在供应链中进行紧密协作的平台。集中式预测将零售商的销售数据转换为通过创建一阶预测而服务于整个供应链的计划。 CBMF模型有助于有效的需求管理,提高需求响应能力,并促进零售商店中产品的更好可用性。研究局限性/意义-CBMF为整个供应链提供补货计划模型。在一个供应链中进行了有限程度的测试。实际意义-该研究使管理人员对集中预测和更紧密的补货协作的好处有了更好的了解,尤其是在需求异常时期。原创性/价值-提供了一种通过集中预测来管理杂货供应链需求的新方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号