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供应链可见性
概述
供应链可视性解决方案提供对原材料、组件和成品从供应商到制造商再到最终买家的移动的可视性。解决方案通常建立在基于云的集中平台上,该平台集成来自多个系统的数据,包括合作伙伴的数据。智能传感器、RFID 和数字分类帐协议等技术可以实现附加功能。例如,数字账本技术可以以安全的方式保存网络上发生的所有交易的日志,同时为供应链合作伙伴提供对特定数据的访问权限。可见性解决方案可以提高供应链的效率和透明度,记录产品在供应链节点之间易手时的数量和转移,跟踪变更订单和采购订单,处理发货通知,管理贸易文件和收据,将实物产品链接到Bar编码,并与供应商、物流供应商和客户共享有关加工或制造过程的信息。
适用行业
- 运输
适用功能
- 维护
- 物流仓储
市场规模
到 2023 年,GPS 跟踪设备系统市场预计将增长 25.3 亿美元,2017 年至 2023 年间的复合年增长率为 11.9%。
资料来源:市场研究未来
商业观点
货运跟踪技术有什么商业价值?
它使托运人能够控制他们的运输并在运输途中的任何时间点定位货物。
基于物联网的货运跟踪和监控解决方案如何帮助您的供应链?
- 提高产品质量和一致性
- 降低仓储成本
- 减少缺货的影响
- 在供应链中断期间保持积极主动
- 减少产品收缩和保险成本
- 贸易路线分析
- 降低劳动力成本
- 改善品牌保护
技术观点
运输跟踪技术是如何构成的?
它由三部分组成:传感器、连接性和应用程序。
传感器可以让您了解集装箱的位置,并且连接件(在海上特别困难)将该位置数据传输回应用程序。通常,航运公司会将位置数据从 API 中提取出来,并将其放入他们的物流平台,在那里可以对数据进行分析。
哪些系统能够控制运输?
运输管理系统 (TMS) 上提供跟踪和追踪功能。借助这项技术,公司可以在管理物流时深入了解承运人绩效、运输成本和市场趋势。
数据观点
系统如何获取数据?
有不同的方式,如 BLE 标签、GPS 或 WiFi。
案例研究.
Case Study
Sirqul and Catalyst Workplace Activation Reveal the Future of Smart Offices
This partnership will disrupt the “traditional” office furniture conversation by examining the intersection of people, place, and technology. We realize it is increasingly evident that the design of spaces is an enabler to meaningful interactions between people and fosters a sense of community and culture by taking on the challenges of designing for a more productive, collaborative, and inspiring workplace, leveraging technology to process data on how people work, communicate and engage with one another.
Case Study
Improving Recycling Collection Performance
In 2015, HFTH, members of the Western New York Coalition for Donated Goods (WNYCDG) and the City of Buffalo diverted 4,800 tons of unwanted clothing and textiles for reuse. In an age of growing consumerism, HFTH’s ambition is to provide even greater support for the homeless. Its management team’s aim is to expand their recycling and collection capabilities, with the goal of achieving zero waste to landfill from its operation. HFTH was founded in 1990, starting out with a small number of recycling collection containers around the WNY area. Nick Calandra, COO and Corporate Secretary of HFTH, describes the management of those containers saying, “We personally checked every container and it was easy to memorize locations and estimate fill speeds in order to organize our truck routes and collections.” However, as the organization grew and the collection points spread across a wider area, manual logistics planning became more complex and efficiency dropped. It got to the point where containers were being emptied when only 30% full, simply because they were located on the regular collection routes. HFTH sought a solution that would allow them to scale operations, optimize collections and, wherever possible, automatically adjust routes to maximize collection efficiency.