Agile manufacturing: Enablers and an implementation framework

Tougher competitive situations have led to increasing attention being paid to customer satisfaction, of which timely and customized services are the key concepts. As the product life cycle becomes shortened, high product quality becomes necessary for survival. Markets become highly diversified and global, and continuous and unexpected change become the key factors for success. The need for a method of rapidly and cost-effectively developing products, production facilities and supporting software, including design, process planning and shop floor control system has led to the concept of agile manufacturing. Agile manufacturing can be defined as the capability to survive and prosper in a competitive environment of continuous and unpredictable change by reacting quickly and effectively to changing markets, driven by customer-designed products and services. This article details the key concepts and enablers of agile manufacturing. The key enablers of agile manufacturing include: (i) virtual enterprise formation tools/metrics; (ii) physically distributed manufacturing architecture and teams; (iii) rapid partnership formation tools/metrics; (iv) concurrent engineering; (v) integrated product/production/business information system; (vi) rapid prototyping tools; and (vii) electronic commerce. A conceptual framework for the development of an agile manufacturing system and future research directions are presented in this paper. This framework takes into account the customization and system integration with the help of business process redesign, legal issues, concurrent engineering, computer-integrated manufacturing, cost management, total quality management and information technology.     

Multiproduct Kanban-like Control Systems

Kanban Control Systems are widely used to control the release of parts in multistage manufacturing systems operating under a pull mechanism, i.e. production of new parts is triggered based on the actual demands arriving to the output of the system. Most of the work on Kanban Control Systems deals with single-product manufacturing systems, although Kanban Control Systems have also been used in multiproduct environments. The aim is to study in detail the behaviour of Kanban Control Systems in the context of multiproduct manufacturing systems. In addition to the classical Kanban Control System, we also consider two more general Kanban-Like Control Systems known as Generalized Kanban Control System and Extended Kanban Control System. When extending these pull control mechanisms to multi-product systems, we distinguish two cases, whether kanbans are dedicated to a single part type or shared among the different part types. We provide an in-depth analysis of each of the resulting control mechanism and discuss some important issues arising from the study.     

Towards intelligent manufacturing planning and control systems

In this paper, we review some well-known manufacturing planning and control (MPC) systems and models, and highlight both their advantages and major drawbacks. The analysis indicates that various important planning and control problems, as they arise in industry, are not properly addressed by current MPC systems. A well-known production system typology, illustrated by industrial examples, is briefly discussed to further highlight these planning and control problems. Next, we define a basic framework architecture for planning and control in both make-to-stock and make-to-order systems. The emphasis in this framework is on an integration of technological and logistics planning, and on an integration of capacity planning and materials coordination issues. In addition to this architecture, we further define an algorithmic framework that explicitly aims at the latter integration. To complete the architecture, we suggest a variety of procedures and algorithms to implement in the various modules.     

Virtual reality-based approach to manufacturing process planning

Increasing the quality and flexibility of manufacturing process planning is very important to achieve productivity improvements and speed up the design cycle. The emphasis on versatility and intelligence leads to new challenges such as intelligent design and concurrent work. Such goals can be accomplished by using virtual reality technology. An overview is given of a concept of a virtual reality-based manufacturing and layout planning system that is being developed under the author's responsibility.     

生产系统的集成规划及案例分析

在分析以往制造系统设计存在不足的基础之上,论述面向生产工程的虚拟制造内涵、提出了虚拟制造环境下大批量生产的制造系统集成规划的解决方案,它包括系统布局规划、仿真规划和虚拟漫游规划3个阶段,各个阶段解决系统规划的不同优化问题,并以来自企业的应用案例进行分析,为企业设计优化的生产系统,减少投资风险。     

Concurrent process planning and scheduling in distributed virtual manufacturing

With the fast development of the world economy, distributed virtual manufacturing is becoming increasingly important since it can respond rapidly to market changes and make resource sharing more efficient among manufacturing partners. In this environment, partners may be located at different geographical locations, and co-operation among partners is a vital task and thus concurrent planning and scheduling has become a challenging research topic. This paper presents a computerized model that can integrate these manufacturing functions and resolve some of the critical problems in distributed virtual manufacturing, such as virtual cooperation, optimal partner selection, etc. This integration model is realized through a multi-agent approach that provides a practical approach for software integration in a distributed environment. A cost function is proposed and adopted for optimal partner selection in a virtual enterprise, which not only considers a partner's manufacturing capability and process requirements, but also the processing time, partner's location and product due date. Through establishing a virtual manufacturing model in a simulated environment, the proposal was validated with a case study. It shows that the proposed methodology can satisfy the distribution and agility requirements. This approach is able to contribute to the reduction of product cost, improving product quality and shortening lead time, compared to the sequential approach in the normal engineering and production practice.     

Project Management and Coordination of Distributed Cooperative Product Design in a Virtual Enterprise

The architecture of project management of distributed concurrent product design in a virtual enterprise is put forward. The process of project management and its functions are presented. Product design process coordination is also discussed. First, based on the analysis of traditional project management, project management and coordination of distributed cooperative product design in the virtual enterprise is put forward. Then, aiming at the characteristics of a distributed concurrent product design process, the inherent rules and complex interrelations in product development are studied. Accordingly, the architecture of project management of distributed cooperative product design in a virtual enterprise is presented to adapt to distributed concurrent development of complex products. The main advantages of the architecture are also discussed. Finally, the emphasis is placed on the project management process. Its main functions are set forth, such as projectdefinition, task decomposition and distribution, resource cortstraints and dynamic resource scheduling, process fusion, task scheduling and monitoring, project plan, cost and quality evaluation, etc.     

Developing a virtual machining model to generate MTConnect machine-monitoring data from STEP-NC

The ability to predict performance of manufacturing equipment during early stages of process planning is vital for improving efficiency of manufacturing processes. In the metal cutting industry, measurement of machining performance is usually carried out by collecting machine-monitoring data that record the machine tool’s actions (e.g. coordinates of axis location and power consumption). Understanding the impacts of process planning decisions is central to the enhancement of the machining performance. However, current methodologies lack the necessary models and tools to predict impacts of process planning decisions on the machining performance. This paper presents the development of a virtual machining model (called STEP2M model) that generates machine-monitoring data from process planning data. The STEP2M model builds upon a physical model-based analysis for the sources of energy on a machine tool, and adopts STEP-NC and MTConnect standardised interfaces to represent process planning and machine-monitoring data. We have developed a prototype system for 2-axis turning operation and validated the system by conducting an experiment using a Computer Numerical Control lathe. The virtual machining model presented in this paper enables process planners to analyse machining performance through virtual measurement and to perform interoperable data communication through standardised interfaces.     

Structured approach to the design of a production data analysis facility. Part 1: Conceptual design and information requirements

The paper reports research into a workshop-oriented machine and inspection framework for a contemporary metalworking small manufacturing enterprise (SME) that cannot be satisfactorily achieved by the rigid scaled-down versions of software applications employed within larger companies. It identifies a structured approach to the design and conceptualization of a production data analysis framework that is supported by the use of order and manufacturing data. A major feature of the framework is its generic applicability and totally integrated approach to provide rapid manufacturing control from intelligent feedback data from the inspection and manufacturing data analysis activities of manufactured components. This production data analysis approach is formally expressed through the combined application of both the activity analysis formalism of IDEF0 and object-oriented information analysis methodology of Booch. The systematic approach employed by the integrated production data analysis framework provides both product and manufacturing process control in order to close the manufacturing feedback loop. These integrated phases are described and involve the concurrent machine operation and inspection planning, simultaneous production code generation, comparative tolerance analysis, and manufacturing data analysis of manufactured components. The final part of the paper provides a critical discussion on a number of major issues of the approach and identifies the advantages and limitations of the research.     

Repair-control of enterprise systems using RFID sensory data

This paper presents an architecture for implementing real-time enterprise planning, scheduling and control processes based on information provided by radio frequency identification (RFID) sensing systems. It introduces a new paradigm, called repair, for modeling enterprise processes that is based on the idea of incremental performance improvements and disruption minimization. The proposed model is expressed using differential equations with discontinuous right-hand sides. The repair framework is suitable for implementing enterprise feedback control systems that can easily be interfaced with an existing enterprise resource planning infrastructure. RFID sensing systems have the potential to provide the real-time data needed to implement enterprise feedback functionality.     

Design and implementation of a virtual information system for agile manufacturing

In the new and emerging agile manufacturing paradigm, where multiple firms cooperate under flexible virtual enterprise structures, there exists a great need for a mechanism to manage and control information flow among collaborating partners. In response to this pressing need, this paper addresses the design and implementation of an agile manufacturing information system integrating manufacturing databases dispersed at various partner sites. We propose a framework in which: (1) information is modeled in a hierarchical fashion using object-oriented methodology (OOM); (2) information transactions are specified by the workflow hierarchy consisting of partner workflows; (3) information flow between partners is controlled by a set of distributed workflow managers (WM) interacting with partner knowledge bases, which reflect partner specific information control rules on internal data exchange, as well as inter-partner mutual protocols for joint partner communications; (4) the prototype system is accomplished using the World Wide Web based on a client-server architecture. The overall approach and system provides within a dynamic environment, where virtual partnerships are synthesized in response to specific business initiatives, a dynamic and flexible mechanism to support partner information exchange and to keep the dispersed information consistent.     

The industrial management of SMEs in the era of Industry 4.0

Industry 4.0 provides new paradigms for the industrial management of SMEs. Supported by a growing number of new technologies, this concept appears more flexible and less expensive than traditional enterprise information systems such as ERP and MES. However, SMEs find themselves ill-equipped to face these new possibilities regarding their production planning and control functions. This paper presents a literature review of existing applied research covering different Industry 4.0 issues with regard to SMEs. Papers are classified according to a new framework which allows identification of the targeted performance objectives, the required managerial capacities and the selected group of technologies for each selected case. Our results show that SMEs do not exploit all the resources for implementing Industry 4.0 and often limit themselves to the adoption of Cloud Computing and the Internet of Things. Likewise, SMEs seem to have adopted Industry 4.0 concepts only for monitoring industrial processes and there is still absence of real applications in the field of production planning. Finally, our literature review shows that reported Industry 4.0 projects in SMEs remained cost-driven initiatives and there in still no evidence of real business model transformation at this time.     

混合型生产方式中动态调度问题的研究

讨论了介于按库存制造和按定单装配之间的混合型生产方式的车间层生产动态调度问题,探讨了调度过程中的信息及其处理。对实际企业生产计划的控制过程进行分析后,归纳出“虚拟发装”的概念,并将其作为一种动态调度方案。最后应用信息技术,实现虚拟发装的工段动态调度,以达到提高决策的透明度,增强生产管理信息系统的实施效用的目的。     

Relative impact of different ERP forms on manufacturing organisations: an exploratory analysis of a global manufacturing survey

There are many types of enterprise resource planning (ERP) systems, ranging from very large and very functional vendor products such as those provided by SAP and Oracle, through in-house systems, and smaller vendor products. Thus, there is a substantial range of enterprise computing support available for manufacturing organisations and their manufacturing planning and control. The Global Manufacturing Research Group (GMRG) has collected a systematic survey of manufacturing organisations around the world, providing a picture of manufacturing operations. We have taken GMRG data and organised it around seven levels of ERP functionality, and analysed these data to determine effectiveness in terms of how ERP systems are used in global manufacturing firms, their role in accomplishing manufacturing planning and control, the relationship between ERP forms and data-management practices, the satisfaction firms have across ERP forms, and finally, relative perceived benefits and costs across ERP forms.     

Computer-aided production management issues in the engineer-to-order production of complex capital goods explored using a simulation approach

This paper describes the exploration of manufacturing planning and control issues in the capital goods industry using a simulation approach. The companies produce products which have deep and complex product structures and are produced in low volume on an engineer- or make-to-order basis (ETO, MTO). The work reported here draws on the results of surveys of companies involved in the manufacture of capital goods which identified their characteristics of ETO and MTO capital goods companies and their strategic issues. The planning and control approaches adopted in the manufacturing facilities and the difficulties experienced in the application of computer-aided production management (CAPM) systems were also examined. The simulation model developed enables complex manufacturing systems to be modelled and was configured to represent a typical ETO/MTO facility using industrial data. A series of full factorial experiments were performed to explore a number of production management problems identified in surveys including capacity planning, assembly planning and scheduling strategies. Conclusions are drawn on the effects on performance and capacity of: applying minimum set-up and processing times for both major and minor activities; using different data update periods and assembly lead times; and adopting various scheduling and despatching approaches. These results are compared with those obtained by other workers who used survey techniques alone, and have implications for the manufacturers of capital goods.     

Distributed product and facility prototyping in extended manufacturing enterprises

In order to reduce the cost at the early product development stages, the planners need methodologies and tools that would allow them to judge upon the implications of the product design on the required manufacturing processes and facilities for their production. This paper reports on a new theoretical platform and a pilot implementation of a decision-making environment for distributed product and facility prototyping in an extended enterprise. The approach is based on an exchange of requests and information between collaborative autonomous agents that support the design, manufacturing planning and facility formation activities. The decision-making is formalized as iterative matching of design, process and facility attributes using multilevel resource capability representation within the extended enterprise. The system is implemented as an XML/CORBA-based environment for conveying design and manufacture messages across traditional technology boundaries. The reported research aims to provide the designers with a rapid manufacturing feasibility assessment tool to be used at different design and planning stages in extended manufacturing enterprises.     

The impact of supply chain analytics on operational performance: a resource-based view

This study seeks to better understand the role of supply chain analytics (SCA) on supply chain planning satisfaction and operational performance. We define the architecture of SCA as the integration of three sets of resources, data management resources (DMR), IT-enabled planning resources and performance management resources (PMR), from the perspective of a resource-based view. Based on the data collected from 537 manufacturing plants, we test hypotheses exploring the relationships among these resources, supply chain planning satisfaction, and operational performance. Our analysis supports that DMR should be considered a key building block of manufacturers’ business analytics initiatives for supply chains. The value of data is transmitted to outcome values through increasing supply chain planning and performance capabilities. Additionally, the deployment of advanced IT-enabled planning resources occurs after acquisition of DMR. Manufacturers with sophisticated planning technologies are likely to take advantage of data-driven processes and quality control practices. DMR are found to be a stronger predictor of PMR than IT planning resources. All three sets of resources are related to supply chain planning satisfaction and operational performance. The paper concludes by reviewing research limitations and suggesting further SCA research issues.     

Collaboration of large equipment complete service under cloud manufacturing mode

This paper focuses on the need of the large equipment manufacturing industry to adapt collaborative operation to transform the industry to cloud manufacturing services and to solve the new problem of federal resources coordination in complete service operation. We systematically study federal resources cooperation under cloud manufacturing mode to complete a large complex project. The primary research contents are divided into four points. First, a system structure of cloud manufacturing service mode is presented. Second, a synergy logic framework from the global system perspective is designed based on generalised partial global planning. Third, a multi-level system coordination mechanism is established by integrating various methods, including the bidding game mechanism for enterprise external resources, the planning control mechanisms for enterprise internal resource and the global collaborative optimisation mechanism for enterprise global federal resources. Finally, a cloud manufacturing service platform for a typical enterprise is developed by combining theory with practice. The results can realise collaborative management in resource selection and configuration, service process planning control and service information feedback in cloud manufacturing service, as well as achieve overall synergy effect for the system.     

Assessing the effects of manufacturing infrastructure preparation prior to enterprise information-systems implementation

Reports on the success or failure of enterprise information system (EIS) implementation have been decidedly mixed. In this study, we focus on manufacturing infrastructure preparation prior to EIS implementation and report the results of a survey of 152 US manufacturing companies that have implemented EIS. We have provided four major findings in this study: (1) the requirements from customers and trading partners are more powerful drivers motivating US manufacturing firms to implementing enterprise systems than internal business planning needs; (2) one manufacturing infrastructural issue often has implications for other infrastructural items in implementing technology, so various manufacturing infrastructural issues should be prepared simultaneously; (3) manufacturing infrastructure preparation prior to EIS implementation has significant positive effects on customer-focused performance, production/operations performance, and financial performance; and (4) better customer-focused performance contributes to better financial performance.     

包装设计虚拟制造技术的应用探析

虚拟设计结合虚拟制造技术应用在包装设计中不仅可以让设计和制造高度集成,推动生产力的提升,还可以降低生产风险和成本,改进生产、节约资源。当前,可通过精益生产、并行工程、敏捷制造和绿色设计及制造等方式来进行包装设计的虚拟制造。