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Integrated Process Planning and Scheduling in Networked Manufacturing Systems for I4.0: a Review and Framework Proposal

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Integrated Process Planning and Scheduling in Networked Manufacturing Systems for I4.0: a Review and Framework Proposal Wireless Networks https://doi.org/10.1007/s11276-019-02082-8 (0123456789().,-volV)(0123456789().,- volV) Integrated process planning and scheduling in networked manufacturing systems for I4.0: a review and framework proposal 1 1 2 3 Maria L. R. Varela • Goran D. Putnik • Vijay K. Manupati • Gadhamsetty Rajyalakshmi • 4 5 Justyna Trojanowska • Jose´ Machado Ó The Author(s) 2019 Abstract Integrated process planning and scheduling in networked manufacturing systems plays a crucial role nowadays and in the forthcoming context of Industry 4.0 to enable effective and efficient decisions, and to improve the business market, based on collaboration, along with computer-based distributed manufacturing and management functions. In this paper some insights regarding a literature review carried out about this main subjects analysed are presented and discussed. Moreover, a framework for integrated process planning and scheduling in networked manufacturing systems is proposed and briefly described, along with some main underlying issues, which are further discussed. Thus, the main purpose of this research consists on presenting a proposed methodology, based on the study conducted, to enable to further assist either academia or industry to develop new tools, techniques and approaches for integrated process planning in networked manufacturing environments. The findings and contributions of this research can help in the implementation and improvement in dis- tributed manufacturing environments, to be linked with small and medium enterprises, to further expand their potentialities through well suited integrated process planning and scheduling decision making processes. Keywords Integrated process planning and scheduling Á Networked manufacturing Á I4.0 1 Introduction to shift manufacturing and management paradigms from deterministic to a more rigorous, autonomous and In order to respond to today’s intensely competitive envi- dynamically adaptive control based on a flexible, agile and ronment and to obtain high product variety and cus- collaborative manufacturing. A befitting answer to this tomization, along with short product life cycles, networked need is based on integrated production planning and manufacturing environments, along with integrated pro- scheduling through networked manufacturing (NM). Liu duction planning and scheduling systems play a crucial role et al. [1] define networked manufacturing as a set of manufacturing activities ranging from market control, 1 & Justyna Trojanowska Department of Production and Systems, School of [email protected] Engineering, University of Minho, Guimaraes, Portugal 2 Maria L. R. Varela Department of Mechanical Engineering, NIT Warangal, [email protected] Hanamkonda, India 3 Goran D. Putnik School of Mechanical Sciences, VIT University, Vellore, [email protected] Tamil Nadu, India 4 Vijay K. Manupati Chair of Management and Production Engineering, Faculty [email protected]; [email protected] of Mechanical Engineering and Management, Poznan University of Technology, Poznan, Poland Gadhamsetty Rajyalakshmi 5 [email protected] Department of Mechanical Engineering, School of Engineering, University of Minho, Guimaraes, Portugal Jose´ Machado [email protected] 123 Wireless Networks manufacturing technologies and manufacturing systems referred to and discussed further in this paper. The structure that can help enterprises to improve the business manage- of the paper is as follows. Section 2 briefly describes net- ment and enhance their competitiveness in the market. worked manufacturing systems. Section 3 discusses inte- Therefore, the study and analysis of networked manufac- grated production planning and scheduling, in general, and turing has become a necessity due to its advantages in through underlying requisites regarding knowledge acqui- current competitive atmosphere, as it meets a number of, sition, and learning paradigms, along with knowledge often conflicting, objectives and goals, such as reducing the management, data visualization and interpretation issues. manufacturing cycle time, shorter lead times, better inter- Section 4 refers to enterprise modelling and integration, in operability, and maintaining the production flexibility a broad sense, and presents a proposed framework for an leading to many feasible process plans, and all these IIPS in the context of I4.0. Finally, Sect. 5 provides some requirements can be fulfilled through IPPS based on main conclusions and planned future work. appropriate supporting technologies for enabling integra- tion, interoperability and digitalization, for reaching imperative main and common enterprise goals. 2 Networked manufacturing systems Although the monolithic approach of traditional manu- facturing has its own advantage, it is not sufficient in the In networked manufacturing, job requests come from dif- current highly dynamic changing manufacturing environ- ferent customers with competitive relationships, i.e. the job ment occurring in the scope of I4.0. However, several scheduling concentrates on satisfying the individual problems related to the traditional manufacturing approach objectives of each job. However, in a networked manu- have been clearly stated [2]. To overcome these problems, facturing environment, the machines with different capa- researchers have realized that there is a need to integrate bilities are distributed geographically to perform various both the functions and the means to achieve better per- operations of the products. formance of the system. Subsequently, the need to integrate As a new and advanced manufacturing paradigm, net- both of these issued activities have found the basis in the worked manufacturing pattern suits the global trends context of networked and collaborative manufacturing towards a knowledge-based economy and global manu- environments. facturing environment. In networked manufacturing envi- However, no conventional shop floor control system ronments, the mode of production has shifted from make- based on centralized or hierarchical control architecture to-stock to make-to-order, in which the active participation can handle the required adaptive and autonomous control of customers, submitting job requests, which tend to be of manufacturing system. Therefore, the control architec- highly customized, to the manufacturing system are ture is gradually being shifted to the distributed, decen- accomplished [3]. tralized and autonomous control (DDAC) architecture. A networked manufacturing system (NMS) can be Since DDAC shop floor control system may have complete defined as a manufacturing-oriented network that employs local autonomy, governing the reconfigurability, scalability the Internet and other related technologies to cater the as well as fault tolerance, which it is suitable for a needs of distributed manufacturing environments. It has the dynamically changing environment in the scope of I4.0. capability to encapsulate the manufacturing enterprises’ To achieve the successful information and knowledge information and to provide the manufacturing services exchange between different facilities, there is a need for through which interoperability between enterprises can be internet and communication technology IoT (internet of achieved. things) through which it can be possible to link all of them. The networked manufacturing environment is distinct Some of the key literature reviews for planning and from the traditional manufacturing environment in many scheduling and their integration, regarding learning and ways, and summarized information about NMS is pre- other AI-based approaches, for instance based on multi- sented in Table 1. As can be realised through the infor- agent systems (MAS), or on other kind of approaches, such mation presented in Table 1, there is a set of fundamental as simulation based, among others, are further detailed in functionalities required to enable to reach appropriate this paper. NMS. The main objective of this paper is to analyse, synthesise As mentioned by Li and Chaoyong [4], in the case of the and present a comprehensive systematic literature review traditional manufacturing systems, process planning and (SLR) of the role of integrated process planning and scheduling functions aim to acquire optimal results for all scheduling in networked manufacturing environments. the jobs, which are different from individual optimal results In an initial analysis of the selected literature of 51 for each job. In networked based manufacturing, owing to research papers a framework was designed, which was the role played by the competition factors among different used to elaborate on findings of this review, which will be 123 Wireless Networks jobs, the objectives for process planning and scheduling is scheduling algorithm in job shop environment to minimize slightly different from that in traditional manufacturing. the makespan and to balance the load for machines. Later, In traditional manufacturing, the machines associated with the integration approach, the performance of the man- with jobs are located and constrained in a single workshop ufacturing system has been improved. Subsequently, several or enterprise. However, for networked based manufactur- issues involved in the integration of manufacturing functions ing jobs and machines are distributed in different work- are addressed [14]. In their work, a dynamic feedback shops or enterprises located globally at larger distances. mechanism was introduced for effective coordination among Thus it can be
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