下载PDF
Supply Chain Optimization for A Major Retailer: Choosing the Right Location for Warehouses
技术
- 分析与建模 - 预测分析
- 功能应用 - 库存管理系统
- 功能应用 - 仓库管理系统 (WMS)
适用行业
- 零售
适用功能
- 仓库和库存管理
- 物流运输
用例
- 库存管理
- 供应链可见性(SCV)
- 仓库自动化
服务
- 软件设计与工程服务
- 系统集成
挑战
Eldorado Company, a huge electronics retailer in Russia, with stores in 350 cities, needed to determine the optimal number of warehouses, and where they should be situated, in order to better fulfill customer demand and minimize delivery and storage expenses. The analysis showed that the problem could be solved with introduction of the anyLogistix supply chain optimization system. Input data provided by the customer described potential warehousing points: rent cost, investments for building new or modernizing old warehouses, average level and cost of storage, overall costs for staffing and security, etc. In addition, the anyLogistix simulation model considered the warehouse and retail store GIS coordinates, and distances between cities.
关于客户
Eldorado Company is a major electronics retailer in Russia, operating in 350 cities across the country. The company is known for its extensive network of retail stores and its commitment to providing a wide range of electronic products to its customers. With a large customer base and a significant number of stores, Eldorado faces the challenge of efficiently managing its supply chain to meet customer demand while minimizing costs. The company sought to optimize its warehouse locations and operations to improve delivery times, reduce storage expenses, and enhance overall customer satisfaction. By leveraging advanced supply chain optimization tools, Eldorado aimed to streamline its logistics and maintain its competitive edge in the market.
解决方案
The introduced system allowed the client to simulate, in detail, several kinds of activities: • Daily basis (model time): goods are sold in stores, and losses from the shortage of demanded goods are counted. • Weekly basis: inventory is supplemented to target level, transportation costs are counted, and deferred payments to suppliers are planned. • Monthly basis: warehouse levels are renewed according to monthly sales levels of stores, transportation routes from warehouses to stores are generated, and franchisee shipments are planned. Monthly sales numbers conform to average sales numbers, while daily sales are generated stochastically. Users can carry out several experiments with the model: • In a simple simulation experiment, a user manually chooses warehouses from the list to test the desired scenario, and launches the model in order to receive statistics for this specific network configuration. • Parameter variation experiment checks all possible scenarios of warehouse positioning, taking into account “fixed” warehouses and their maximum number. The result of this experiment is the best combination of warehouses that cost the least amount of money. • Based on this configuration of the supply chain, optimization experiment can calculate in-store warehouses’ floor space.
运营影响
数量效益
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.
