A review on Integrated Process Planning and Scheduling

Abstract

Traditionally, process planning and scheduling for parts were carried out in a sequential way, where scheduling was done after process plans had been generated. Considering the fact that the two functions are usually complementary, it is necessary to integrate them more tightly so that performance of a manufacturing system can be improved greatly. In this paper, we present a review of the reported research in Integrated Process Planning and Scheduling (IPPS), discuss the extent of applicability of various approaches and suggest some future research trends.

Demand-supply chain management: systems implications in an SME packaging business in the UK

“…The Infor system is now running the stock control and planning functions and one major benefit is the generation of an integrated manufacturing schedule which optimises utilisation of packaging machines and the company's multiskilled operatives, who are capable of working on a number of different packaging operations. Li et al (2010) have pointed out the benefits of integrating planning and scheduling, and this integration in the Infor system allows the calculation of labour requirements, shift patterns and break cover in order to fulfil actual customer demand. In addition, the new software provides a control system for raw materials and free issue stock, and a system for calculating raw material planning requirements from actual demands by the customer, harnessing the interrelationships between demand and supply chains.…”

Synthesis of Petri Net based Model of a Discrete Event Manufacturing System for Nonlinear Process Plan

“…To increase effectiveness of both process planning and scheduling the need of integration of these two tasks was recognized and many researchers approached the problem. References [9][10][11] present extensive reviews of the research in the area of process planning and scheduling integration. Authors classify all the approaches into three main groups: nonlinear, closedloop and distributed process planning.…”

“…The methods mentioned above aim at generation reliable and effective production scheduling. However in real manufacturing systems there are unpredictable situation, referred to as disturbances, such as machine breakdown, tool damage, shortage of power supply [9]. This means that some schedules, worked out as optimal, at the time when manufacturing starts, have to be modified.…”

“…To effectively build and manage real scale DEMS models a modular approach has been developed [9,16]. The model in this case is considered as a collection of modules that, in using different symbols and mathematical relations, represents the knowledge and data of the manufacturing system.…”

Handling machine breakdown for dynamic scheduling by a colony of cognitive agents in a holonic manufacturing framework

“…The agent-based approach benefits the manufacturing scheduling in various ways, the most prominent being the integration of process planning and scheduling (IPPS) functions. IPPS facilitates information exchange in real-time to make the planning and scheduling a realistic one and also to optimize both simultaneously as a single problem, considering the constraints of both domains (Tan & Khoshnevis, 2000;Shen et al, 2006b;Wong et al, 2006b;Wang et al, 2006;Cai et al, 2009;Li et al, 2010;Phanden et al 2011).…”