Dec 20, 2014 · The paper summarizes the results of research on the modeling and implementation of advanced planning and scheduling (APS) systems done in recent twenty years. It discusses the concept of APS...

Advanced planning and scheduling (APS, also known as advanced manufacturing) refers to a manufacturing management process by which raw materials and production capacity are optimally allocated to meet demand. [1]

Key words: advanced planning and scheduling, optimization, simulation, reference modeling, architectural modeling. 1. Introduction. Advanced planning and scheduling (APS) systems already have a long, more than twenty years history. A plenty of research papers discussing the various aspects of APS systems were published in these years.

Dec 1, 2024 · This study introduced various models that efficiently design and implement digital twin (DT)-based advanced planning and scheduling (APS). The proposed methods define functionalities, facilitate processes for the resilient production, and design integration models based on asset administration shell principles, ANSI/ISA-95, and AutomationML.

Advanced planning and scheduling (APS) refers to a manufacturing management process by which raw materials and production capacity are optimally allocated to meet demand. APS is especially well-suited to environments where simpler planning...

Supply Chain Management, Enterprise Resources Planning (ERP), and Advanced Planning Systems (APS) are important concepts in order to organize and optimize the flow of materials, information and financial funds.

However, it was only recently that advanced planning and scheduling systems (APS), making use of these models, started being more widely used and discussed. This work presents the results of a systematic literature review, developed by applying the ProKnow-C method, on APS systems.

Jan 1, 2014 · In this study, we develop improved and extended mixed integer programming formulations for APS systems at the factory planning level.

This work consists of two parts, with the first part addressing the design of reference and mathematical models, bottleneck models and multi-criteria models and presenting various sample models. It describes demand-forecasting methods and also includes considerations for aggregating forecasts.

Jan 30, 2025 · Initially, we will define advanced planning and scheduling in the era of Industry 4.0, then we will outline the challenges in finding near-optimal solutions for scheduling. Subsequently, we will explore the advantages and practical applications …