A review on integrated process planning and scheduling <s> IPPS in support of distributed and collaborative manufacturing <s> An Effective Approach for Distributed Process Planning Enabled by Event-Driven Function Blocks Web-based Polishing Process Planning Using Data Mining Techniques Integration of Rule-based Process Selection with Virtual Machining for Distributed Manufacturing Planning CyberCut: A Coordinated Pipeline of Design, Process Planning and Manufacture Process Planning, Scheduling and Control for One-of-a-Kind Production Setup Planning and Tolerance Analysis Scheduling in Holonic Manufacturing Systems Agent-based Dynamic Scheduling for Distributed Manufacturing A Multi-agent System Implementation of an Evolutionary Approach to Production Scheduling Distributed Scheduling in Multiple-factory Production with Machine Maintenance Resource Scheduling for a Virtual CIM System A Unified Model-based Integration of Process Planning and Scheduling A Study on Integrated Process Planning and Scheduling System for Holonic Manufacturing Managing Dynamic Demand Events in Semiconductor Manufacturing Chains by Optimal Control Modelling A Parameter Perturbation Approach to Replanning Operations STEP into Distributed Manufacturing with STEP-NC <s> BIB001 </s> A review on integrated process planning and scheduling <s> IPPS in support of distributed and collaborative manufacturing <s> This paper presents methodologies of web-based decision making for collaborative manufacturing, including web-based knowledge sharing, distributed process planning, dynamic scheduling, real-time monitoring and remote control, targeting distributed yet collaborative manufacturing environments. The web-based decision making is enabled by a framework that allows users to plan and control manufacturing operations based on information either gathered via the Web or collected from manufacturing devices. The objective of this research is to develop an integrated system for web-based collaborative planning and control, supported by real-time monitoring for dynamic scheduling. Details on the principle of the framework, system architecture, and a proof-of-concept prototype are reported in this paper. An example of remote machining is chosen as a case study to demonstrate the effectiveness of this framework toward web-based collaborative manufacturing. <s> BIB002
In the 21st century, to win the competition in a dynamic marketplace, which demands short response time to changing markets and agility in production, the manufacturers need to change their manufacturing system from centralised environment to a distributed environment BIB001 . In this case, owing to recent business decentralisation and manufacturing outsourcing, the distributed and collaborative manufacturing is very important for the manufacturing companies. In the distributed manufacturing system, there are many unpredictable issues like job delay, urgent-order insertion, fixture shortage, missing tool, and even machine breakdown, which are challenging manufacturing companies. And, engineers often demand adaptive planning and scheduling capability in dealing with daily operations in a distributed manufacturing environment BIB001 . Process planning and scheduling are two of the most important sub-systems in distributed manufacturing systems. To overcome the above-mentioned uncertain issues in distributed manufacturing system, the development of process planning and scheduling is very important. Many researches have focused on process planning and scheduling to improve flexibility, dynamism, adaptability, agility and productivity of distributed manufacturing system BIB001 . While process planning and scheduling are crucial in distributed manufacturing, their integration is also very important BIB002 . Without the IPPS, a true ComputerIntegrated Manufacturing System (CIMS), which strives to integrate the various phases of manufacturing in a single comprehensive system, may not be effectively realised. And, IPPS can also improve the flexibility, adaptability, agility and global optimisation of the distributed and collaborative manufacturing. Therefore, the research on IPPS is necessary. And, it can well support the distributed and collaborative manufacturing system.