ALSI has compiled the presentation material and seeks to collaborate with industry peers in exploring development strategies for the transformation and upgrading of manufacturing enterprises.

APS demands exceptionally high data precision. Beyond leveraging data from ERP and MES systems, APS refines data granularity to a more meticulous level, even down to the various parameters of each individual piece of equipment.

By implementing an intelligent equipment management system, both component inspection and maintenance scheduling can be dramatically streamlined, reducing staff workload, boosting managerial efficiency, and extending the equipment’s service life.

Data serves as the cornerstone for the digital transformation and upgrading of manufacturing enterprises. However, in the current construction of smart factories, companies commonly face the challenge of dealing with redundant, disorganized, and fragmented equipment data, which hinders production efficiency and prevents the realization of cost reduction and performance enhancement.

The term Value Stream Mapping (VSM) originates from the 1999 bestseller *Learning to See* by Mike Rother and John Shook. The authors also coined the terms Value Stream Analysis (VSA) and Value Stream Design (VSD), and established a standardized set of symbols commonly used in value stream mapping.

Implementing predictive maintenance strategies is essential for building smart factories, as it slows the progression of minor early-stage faults into significant failures, thereby reducing equipment failure rates and optimizing production costs.

Conventional equipment data acquisition solutions often suffer from functional limitations and insufficient monitoring comprehensiveness.

JIT is the ideal state of production management, where parts are delivered in the required quantity, at the required time, and to the required location, without delays, without waiting, and without excess (original Japanese text: "Isn't it about providing what is needed, in the quantity needed, at the time needed?").

Addressing the challenges in spare parts management, the ALSI Smart Maintenance System incorporates a dedicated spare parts management module that enables real-time online inventory management.

Jidoka, a Japanese term coined by Toyota, refers to the ability of machines to make decisions like humans—sometimes called human-triggered automation. In a lean environment, Jidoka must be employed to identify and halt problems from escaping the process (eliminating waste).