労働力の最適化は、企業が人的リソースを適切に活用し、高い生産性でタスクを達成するのに役立ちます。このブログ投稿では、金融、製造、港湾、倉庫業、その他の部門の企業がシミュレーションによってどのように労働力を組織し、その生産性を理解し、スタッフのコストを最適化することができるかについてご説明します。
Walmart, the world’s largest seller of groceries, recently began piloting first-of-a-kind automation for its popular online grocery pickup service.
Our partners at MOSIMTEC used AnyLogic to develop the simulation model behind the system’s development. Read on for more about the material handling system, videos of the robots in action, and MOSIMTEC's case study.
Being #26 in last years’ Fortune 500 list, Cardinal Health is a billion dollar pharmaceutical distribution and logistics company. Its clients are hospitals, pharmacies, physicians, and individual consumers. They face a multitude of typical distribution warehouse challenges that are further complicated by the nature of pharmaceutical products, which are smaller in size, consumable, expensive, and could be life critical. Company’s warehouses have narrow passages, and workers operate big multilevel trolleys. That increases the probability of employees’ mistakes and makes these mistakes costly.
This short tutorial shows how to build a simulation model based on a real-world problem description, using an example of a simple warehouse unloading process model. Also, it teaches to set animation and choose what-if scenarios to test. The AnyLogic User Support Team created the tutorial. The model simulates the arrival of trucks with two types of cartons to a warehouse. Workers unload the cartons, which then move on conveyors to the pallet stacking zone. After palletizing, the goods are moved by forklift trucks to the storage zone. Download the tutorial and accompanying material via our website.