Orscheln Farm & Home Improves Efficiency with MercuryGate TMS
公司规模
1,000+
地区
- America
国家
- United States
产品
- MercuryGate TMS
技术栈
- Supplier Portals
- Control Tower Visibility
- Data Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 功能应用 - 运输管理系统 (TMS)
适用行业
- 零售
适用功能
- 物流运输
- 仓库和库存管理
用例
- 车队管理
- 库存管理
- 预测性维护
- 供应链可见性(SCV)
服务
- 软件设计与工程服务
- 系统集成
关于客户
Orscheln Farm & Home is a family-run retailer that has been in business since 1961. The company operates 167 stores across nine states in the Midwestern United States and is continually growing. Orscheln manages a private fleet of 57 trucks and handles both inbound and outbound freight with in-house transportation professionals. The company uses multiple modes of transportation, including LTL, truckload, ocean import containers, and small packages. In 2008, Orscheln sought to improve its efficiency and key performance indicators (KPIs) by increasing supply chain visibility and enhancing supplier accountability.
挑战
Orscheln Farm & Home aimed to enhance internal efficiency by improving collaboration with suppliers to reduce misshipments and ensure compliance with transportation requirements. The company needed a single TMS system to manage various modes of transportation, including LTL, truckload, ocean import containers, and small packages. Their objectives were to increase supply chain visibility and heighten supplier accountability. The challenge was to create a system that could handle both outbound freight and 300 containers a year of inbound freight, while also reducing mis-shipments and enforcing compliance.
解决方案
In 2008, Orscheln decided to implement MercuryGate TMS to improve supplier accountability and internal efficiency. MercuryGate designed and implemented custom supplier portals, allowing suppliers to manage their shipments and collaborate in the process from the initial load tender to the final settlement. The TMS technology also helped Orscheln create a paperless work environment and increase supply chain visibility. The MercuryGate TMS architecture features control tower visibility with data analytics, enabling Orscheln to monitor every shipment at every stage. This comprehensive solution allowed Orscheln to reduce mis-shipments, enforce compliance, and diagnose problems proactively.
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
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.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.
