下载PDF
Increased Throughput & Efficient Material Flow
技术
- 功能应用 - 仓库管理系统 (WMS)
- 自动化与控制 - 自动化与过程控制系统
适用行业
- 零售
- 食品与饮料
适用功能
- 仓库和库存管理
- 物流运输
用例
- 仓库自动化
- 库存管理
- 预测性维护
服务
- 系统集成
- 硬件设计与工程服务
- 软件设计与工程服务
挑战
ASKO ROGALAND AS faced significant challenges due to changing supply chains and general market growth. To maintain their position as Norway's leading wholesaler and distributor of groceries, they needed to enhance their logistics strategy. The primary challenge was to automate their distribution centers to stay ahead in the market. The existing manual processes were not sufficient to handle the increasing demand and complexity of operations. The company needed a solution that could optimize space utilization, improve pick accuracy, and reduce dependency on labor. Additionally, they aimed to enhance ergonomics for operators and reduce costs associated with damaged goods and human resources.
关于客户
ASKO ROGALAND AS is a subsidiary of ASKO NORGE AS, Norway's leading wholesaler and distributor of groceries. They serve grocery and convenience stores, institutional households, and service trading customers across Norway. The distribution center in Skurve, SouthWest Norway, spans 32,000 m², with 4,000 m² dedicated to automated processes. The center covers a distribution area from Moi in the South to Bømlo in the North. ASKO ROGALAND employs 230 people and had a turnover of 470 million EUR in 2014. The parent company, ASKO NORGE AS, has over 3,000 employees and a turnover of 5.7 billion EUR in 2013.
解决方案
Swisslog provided the automated intralogistics solutions for three of ASKO's distribution centers, including the central DC in Eastern Norway. The solution included a space-efficient High Bay Warehouse with energy-efficient stacker cranes that automatically replenish pallet locations in the picking aisles. An automated conveyor system was also implemented, reducing ASKO's reliance on trucks for internal transport. Inbound goods are delivered on pallets from external suppliers and production sites. Truck drivers unload pallets onto an in-feed conveyor system within the inbound goods area. Pallets travel through a profile check station and, depending on the pallet quality, load dimensions, and ID, they are either approved for transportation to the high bay warehouse or rejected for manual intervention. For infeed into the High Bay Warehouse, the pallets travel to a mezzanine level via a vertical conveyor. They are then stored in the High Bay via one of three automated stacker cranes, each equipped with a RackCarrier. These RackCarriers travel in channels in the racking and transport pallets between the cranes and the respective storage locations, both for infeed and outfeed. The freestanding rack system has a storage capacity of 4,600 pallets and an additional 318 pallets at the picking level.
运营影响
数量效益
相关案例.
Case Study
The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
Case Study
HEINEKEN Uses the Cloud to Reach 10.5 Million Consumers
For 2012 campaign, the Bond promotion, it planned to launch the campaign at the same time everywhere on the planet. That created unprecedented challenges for HEINEKEN—nowhere more so than in its technology operation. The primary digital content for the campaign was a 100-megabyte movie that had to play flawlessly for millions of viewers worldwide. After all, Bond never fails. No one was going to tolerate a technology failure that might bruise his brand.Previously, HEINEKEN had supported digital media at its outsourced datacenter. But that datacenter lacked the computing resources HEINEKEN needed, and building them—especially to support peak traffic that would total millions of simultaneous hits—would have been both time-consuming and expensive. Nor would it have provided the geographic reach that HEINEKEN needed to minimize latency worldwide.
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
Energy Management System at Sugar Industry
The company wanted to use the information from the system to claim under the renewable energy certificate scheme. The benefit to the company under the renewable energy certificates is Rs 75 million a year. To enable the above, an end-to-end solution for load monitoring, consumption monitoring, online data monitoring, automatic meter data acquisition which can be exported to SAP and other applications is required.
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.
