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  5. Process Control System
  6. Slotting optimization

Slotting optimization

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last updated:Jan 22, 2021

マンハッタン・アソシエイツ
マンハッタン・アソシエイツ
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By using a scientific approach, we present analysis results to ensure optimal picking and support rational decision-making.

Location is Everything Within the warehouse, the location of products directly impacts productivity, worker safety, and order accuracy. Fast-moving items should be placed in the most accessible locations for picking, heavy items should be stored in areas that minimize damage, and optimizing the overall storage capacity of the warehouse is also crucial. Challenges such as similar orders, an increase in the number of SKUs, unstable demand, and the need to respond to short lead-time orders require continuous optimization of warehouse space. In logistics operations that meet the requirements of omnichannel retailing, optimizing slotting has become essential for controlling costs and meeting customer expectations. The Best Approach to Optimization By recommending the best locations for each inventory item, employee labor efficiency improves, order processing cycles are shortened, and throughput can be maximized. Additionally, strategically grouping items for fulfillment and updating recommended layouts based on trends and demand for new products enhances customer service. *For more details, please download the PDF or contact us.*

    Process Control System
スロット最適化.jpg

Slotting optimization

スロット最適化.jpg
スロット最適化.jpg
  • Related Link - https://www.manh.com/ja-jp/products/slotting-optim…

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The Slotting Optimization application, fully web-based and utilizing advanced mathematical models to determine optimal slotting, takes into account seasons, sales trends, and product variations while maintaining grouping by popular item order and categorization. It is designed with the capability to handle very complex warehouses. Features and Functions: - The ability to adjust picking locations within the warehouse multiple times to align with new product demand, changes in consumer expectations, and operational constraints. - Grouping products for rapid fulfillment and executing layout updates based on trends and changes. - Calculating optimal locations based on relative values, product characteristics, and turnover rates. - Summing the prices of all products and comparing millions of shipping combinations against user-defined strategies. - Scenario management functionality to simulate different rule sets and find the optimal configuration. - Ensuring the right inventory is in the best location at the optimal time. It identifies the optimal storage locations for all products in the logistics center, improving picking efficiency, reducing replenishment frequency, and maximizing throughput.

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[Warehouse Management System Case Study] Food Service Wholesaler Bidfood

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[Warehouse Management System Case Study] American Sports Brand Under Armour

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[Inventory Optimization Case Study] U.S. Healthcare Pharmaceuticals Harvard Drug

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[Inventory Demand Forecasting Solution Case Study] Food Wholesaler KeHE

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[Warehouse Management System Case Study] Automotive Parts and Maintenance Retailer Norauto

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Warehouse Management System SCALE Implementation Case: Online Food Retailer RedMart

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[Inventory Demand Forecasting Solution Case Study] Pharmaceutical Wholesale and Retail Pharmacy Industry - WALGREENS BOOTS ALLIANCE

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[Inventory Demand Forecasting and Replenishment Solution Case Study] Food Service Provider SYSCO Corporation

[Inventory Demand Forecasting and Replenishment Solution Case Study] Food Service Provider SYSCO Corporation

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[Inventory Demand Forecasting and Replenishment System Case Study] UK Pharmaceutical Wholesaler and Pharmacy Retailer

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■Implemented System Manhattan Active Inventory Demand Forecasting and Replenishment Solution ■Challenges Walgreens Boots Alliance needed to replace its proprietary replenishment system to align with enhanced logistics capabilities. Walgreens Boots Alliance was established in December 2006 through the merger of Alliance UniChem PLC and Boots Group PLC. The company provides a variety of products and services to customers in 20 countries through its owned businesses, joint ventures, and associates. The group has two core sectors: pharmaceutical wholesale and retail pharmacy. *For more details, please refer to the PDF document or feel free to contact us.*

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[Warehouse Management System Case Study] Automotive Parts and Maintenance Company Norauto

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■Introduced System Warehouse Management System and Slotting Optimization Solution ■Challenges Norauto's expensive and inefficient proprietary warehouse system had become outdated. To support the company's growth and replace the outdated system, Norauto decided to embark on a business engineering project to completely redesign its business processes and IT infrastructure. This project included key objectives such as: - Improving operational productivity, particularly in the logistics sector - Complying with tracking standards in the automotive industry - Increasing order accuracy in the fulfillment process to 99.9% - Implementing a proven, reliable, and upgradeable supply chain execution system *For more details, please refer to the PDF document or feel free to contact us.*

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[Warehouse Management System Case Study] Sports Manufacturer New Balance

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■Implemented Systems Warehouse Management System, Supply Chain Intelligence, Slotting Optimization, Audit Payment & Billing ■Challenges There were issues with customer compliance due to major retailers actively engaging in chargeback programs, as well as numerous delivery compliance issues. New Balance manufactures and sells innovative technology and a wide range of sizes in performance footwear and apparel. The company operates two distribution centers: one in Lawrence, Massachusetts, covering 360,000 square feet, and another in Ontario, Canada, covering 650,000 square feet. Each DC has 135 employees, holds 30,000 SKUs, and the average annual shipment volume for both DCs is 24 million units. Facing an end-of-support warehouse management product, the company was looking for a new supply chain partner that is an industry leader and can provide ongoing services. *For more details, please refer to the PDF document or feel free to contact us.*

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[Inventory Optimization Case Study] U.S. Healthcare Pharmaceuticals - Harvard Drug

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■Issue Despite a significant increase in catalog products, Harvard Drug's buyers were managing inventory across four warehouses using Excel sheets. The vertical structure within the organization was creating further inefficiencies. Harvard Drug is a robust company that offers a wide range of brand-name pharmaceuticals, generic drugs, over-the-counter medications, and supplements to over 15,000 wholesalers and retailers. A series of acquisitions that began in 2006 has led to the current offering of over 18,000 products across multiple divisions. Currently, it provides over 18,000 products across several divisions, including the Pharmaceutical Division, Wholesale Division, Retail Division, Medical Division, Pharmacy Division, and Animal Health Division. *For more details, please refer to the PDF document or feel free to contact us.*

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マンハッタン・アソシエイツ

マンハッタン・アソシエイツ

IT/Telecommunications

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By integrating the front-end sales process with the back-end supply chain, we aggregate information both inside and outside the company. Advanced software, platform technologies, and extensive achievements and experience strongly support the growth and revenue assurance of retailers, wholesalers, manufacturers, and logistics providers across various industries. Furthermore, by providing solutions developed based on cutting-edge cloud and on-premise environments to stores, distribution networks, and logistics centers, we lead businesses to success in the omnichannel market. Global Locations: Atlanta (Headquarters) | Tokyo | Bangalore | Barcelona | Chile | Düsseldorf | Melbourne | Paris | Shanghai | Sydney | Singapore | England | Milan | Netherlands

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