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Lozier's Digital Transformation: Maximizing Efficiency with Oracle
技术
- 功能应用 - 企业资源规划系统 (ERP)
- 功能应用 - 制造执行系统 (MES)
适用行业
- 消费品
- 零售
适用功能
- 设施管理
- 采购
用例
- 添加剂制造
- 库存管理
服务
- 系统集成
- 培训
挑战
Lozier Corporation 是一家领先的零售商产品制造商,由于其过时的 ERP 系统而面临着重大挑战。该系统驻留在老化的大型机上,无法提供可靠的业务管理系统、整合的数据和高效的流程。由于这些不同的系统,公司的业务流程有时效率低下。例如,客户的数字订单必须由 Lozier 的团队手动处理,这不仅耗时,而且还增加了不准确和错误的风险。 Lozier 的领导团队认识到需要现代 ERP 系统和行业最佳实践来推动卓越运营并确保公司在零售行业持续取得成功。
关于客户
Lozier Corporation 总部位于内布拉斯加州奥马哈,是零售商商店和仓库所依赖产品的领先制造商。该公司在五个州设有工厂,员工超过 2,100 人。 Lozier 是一家家族企业,已经营超过 65 年,其愿景是通过卓越的运营来支持零售业的现在和未来。该公司的客户包括美国各地数千家零售商,他们依赖 Lozier 提供高效、有效的产品和服务。
解决方案
Lozier 于 2019 年与 Hitachi Vantara 合作,将其基于大型机的解决方案替换为 Oracle EBS。此次合作始于一系列培训课程,以帮助关键用户更好地理解主数据。培训成功后,洛齐尔聘请团队协助数字化转型。 Oracle EBS 的推出包括 Oracle Cloud CPQ 以及报价到现金、制造、调度、财务管理和电子数据交换 (EDI) 等功能。这使得该公司能够无缝管理数字订单。该项目于 2020 年 8 月开始,经过广泛测试以确保每个部门都对新系统感到满意,于 2021 年 11 月投入使用。
运营影响
数量效益
相关案例.
Case Study
Improving Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.