Case studies of computer integrated manufacturing systems: A view of uncertainty and innovation processes

The adoption and implementation of new manufacturing processes are conceptualized in terms of coping with uncertainty. Manufacturing management opts for new equipment in order to reduce certain long run, nagging uncertainties, but at the expense of introducing considerable short run uncertainty associated with the innovation. Various coping strategies must be employed to deal with the situation. Our ideas are explored and developed by comparing how four firms in different countries adopted and implemented computer integrated manufacturing systems (CIM). Qualitative interviews with managers at different hierarchical levels and in different functions brought answers to the following questions: 1) What were the reasons for adopting a CIM? 2) What strategies were employed in order to facilitate the introduction of CIM's into the Firm? 3) What were the significant implementation problems that were encountered? In spite of cultural and other differences among the firms, coping with uncertainty explains significant aspects of their innovation processes.     

Applications of decision support and expert systems in flexible manufacturing systems

Flexible manufacturing systems (FMS) increase the efficiency of operations by improving cost, quality, and lead time while decision support and expert systems (DSS&ES) improve the effectiveness of manufacturing by assisting the decision maker in coordinating all the elements and increasing the overall utilization of the factory, particularly in managing a complex system of flexible manufacturing. This article surveys a number of available decision support and expert systems applications in flexible manufacturing after reviewing the features of each one and then proposes additional potential applications.It appears that what is holding back the widespread use of FMS is not the technology, but is some management issues. Application of DSS&ES enables a manager to obtain a full flexibility of equipment in terms of machine flexibility, product flexibility, process flexibility, operation flexibility, routing flexibility, volume flexibility, expansion flexibility, and production flexibility. Many decisions are made in planning and operating FMS that can be categorized into three classes of strategic, tactical, and operational decisions. Each class can be further categorized into structured, semistructured, and unstructured decisions. The article provides examples of FMS decision in each of nine groups and show that use of DSS&ES can be productive.Illustrative cases are categorized into (1) DSS in FMS, (2) DSS in related manufacturing operations, (3) ES in FMS, and (4) ES in related manufacturing operations. The cases described include ICAM, REACT, KEE, PADMS, IMS, FADES, GARI, TOM, ISIS, and GENPLAN.The article finally provides hints for successful DSS and ES implementation. Subjects include getting management involved, choosing a key application, manage vendor involvement, paying attention to maintenance, assigning qualified personnel, paying attention to training, and always reviewing the results.FMS is basically a computer-based system and so are DSS and ES. There is an increased trend of integrating independent computer-based systems to take advantage of the possible synergy of such integration. At present, there is only a little evidence of DSS and/or ES applications in FMS. However, there is increasing evidence of applications in related manufacturing areas. Furthermore, the planning and operations of FMS require considerable expertise; DSS and ES techniques are aimed at supporting or even replacing such expertise. Therefore, it seems that there is a considerable potential for further application of DSS and ES in FMS.     

Investment decisions in manufacturing: assessing the effects of real oil prices and their uncertainty

We investigate the effects of real oil prices and their uncertainty on investment decisions. Making use of plant‐level data, we estimate dynamic, discrete‐choice models that allow modeling investment inaction, under different assumptions related to initial conditions and unobserved heterogeneity. We find that increases in real oil price changes and in real oil price uncertainty significantly reduce the likelihood of investment action, in line with the predictions of irreversible investment theory. We also document that investment decisions exhibit strong, pure state dependence and are also significantly affected by initial conditions. Copyright © 2012 John Wiley & Sons, Ltd.     

On the economic evaluation of future manufacturing systems

This paper stresses the need for technological competitiveness in order to maintain strength in domestic and foreign markets, reviews bases for developing and evaluating technological advances and suggests that computer-aided design (CAD) and computer-aided manufacturing (CAM) will prove significant advances in the years ahead.     

A process model for concurrent design in manufacturing enterprise information systems

In manufacturing enterprise information systems, concurrent design process is one of the focuses of research on design process management. This study proposes a novel process model for concurrent design based on unified modelling language (UML) and polychromatic sets theory. Model primitives and constructs of UML activity diagram, concurrent design activities, and dynamic changes of concurrent design process are described in the polychromatic sets contour matrix. Based on polychromatic sets theory, the model reduction rules and algorithm are proposed. With the feature-based part design and process planning, a UML model of concurrent design process is developed and mapped into polychromatic sets contour matrix model. The dynamic change, model reduction, path search and time consumption of concurrent design process are analysed, and the direction for improving concurrent design process and shortening product development cycle is suggested.     

Human capital enhancing HRM systems and frontline employees in Australian manufacturing SMEs

The current study seeks to answer a number of key questions concerning the strategic management of frontline employees (e.g. individuals who do not occupy an executive, managerial or supervisory role in functions such as production, maintenance, service and clerical functions) and their contributions towards the performance of small- and medium-sized manufacturing firms in Australia. This study adopts a human capital perspective to examine the employee and organisational performance of small and medium enterprises (SMEs) in Australia. We were also interested in seeking to examine the presence of the human resource management (HRM) function of SMEs in Australia and their contribution towards employee and firm performance. Findings from the partial least square analysis identified the antecedents and consequences of a human capital enhancing (HCE) approach for the strategic HRM of frontline employees in Australia's manufacturing industry. Strategic orientations of small- and medium-sized manufacturing firms mediate the contribution of the HRM function in adopting a set of HCE HRM systems. HCE HRM system was found to have a direct and indirect impact on manufacturing performance outcomes. Frontline employees' performance was found to mediate the impact of HCE HRM system on manufacturing performance outcomes. Theoretical and practical implications are discussed in relation to the management of frontline employees in enhancing perceived employee and manufacturing performance.     

在数学教学中提倡问题解决

问题是数学的心脏,问题是引导研究的,提出和发现数学问题是数学教学的起步,数学问题解决体现了数学教学的目的、过程和基本方法,是创造性的思维活动。问题解决作为教学方法,能体现知识的涵义和应用价值。     

Capacity planning techniques for manufacturing control systems: Information requirements and operational features

Substantial interest has been focused on techniques that determine the amount and timing of work center capacity to satisfy the master production schedule. Although several techniques have been developed for preparing work center capacity plans, very little analysis of the operational features and the application of these techniques has been reported. Four techniques, capacity planning using overall factors (CPOF), capacity bills, resource profiles, and capacity requirements planning (CRP), vary substantially in their complexity and the level of detail required to plan work center capacities. All four procedures require the use of the master production schedule to develop a capacity plan, but some have much more demanding data requirements. Important differences are the means by which capacity requirements are estimated by the techniques and the manner in which the bill of material, manufacturing lead time and inventory status information are incorporated into the capacity plan. The purpose of this paper is to describe the operational features of the four capacity planning techniques, the underlying data base requirements, and some key managerial issues in choosing among these techniques.     

Dynamic decision-making for reliability and maintenance analysis of manufacturing systems based on failure effects

A framework for reliability and maintenance analysis of job shop manufacturing systems is proposed in this paper. An efficient preventive maintenance (PM) policy in terms of failure effects analysis (FEA) is proposed. Subsequently, reliability evaluation and component importance measure based on FEA are performed under the PM policy. A job shop manufacturing system is applied to validate the reliability evaluation and dynamic maintenance policy. Obtained results are compared with existed methods and the effectiveness is validated. Some vague understandings for issues such as network modelling, vulnerabilities identification, the evaluation criteria of repairable systems, as well as PM policy during manufacturing system reliability analysis are elaborated. This framework can help for reliability optimisation and rational maintenance resources allocation of job shop manufacturing systems.     

Cloud manufacturing: a new manufacturing paradigm

Combining with the emerged technologies such as cloud computing, the Internet of things, service-oriented technologies and high performance computing, a new manufacturing paradigm – cloud manufacturing (CMfg) – for solving the bottlenecks in the informatisation development and manufacturing applications is introduced. The concept of CMfg, including its architecture, typical characteristics and the key technologies for implementing a CMfg service platform, is discussed. Three core components for constructing a CMfg system, i.e. CMfg resources, manufacturing cloud service and manufacturing cloud are studied, and the constructing method for manufacturing cloud is investigated. Finally, a prototype of CMfg and the existing related works conducted by the authors' group on CMfg are briefly presented.     

物料组织与供货风险解决技巧

文章对汽车行业主机厂生产物料供货组织流程进行了简单梳理,笔者结合近10年工作经验中的思考与见解,提出几点物料组织与供货风险解决的技巧,以有效提升相关从业人员的技能水平和相关组织的管理水平,减少供应链损失。     

Information systems for collaborating versus transacting: Impact on manufacturing plant performance in the presence of demand volatility

Research at the nexus of operations management and information systems suggests that manufacturing plants may benefit from the utilization of information systems for collaborating and transacting with suppliers and customers. The objective of this study is to examine the extent to which value generated by information systems for collaborating versus transacting is contingent upon demand volatility. We analyze a unique dataset assembled from non-public U.S. Census Bureau data of manufacturing plants. Our findings suggest that when faced with volatile demand, plants employing information systems for collaborating with suppliers and customers experience positive and significant benefits to performance, in terms of both labor productivity and inventory turnover. In contrast, results suggest that plants employing information systems for transacting in volatile environments do not experience such benefits. Further exploratory analysis suggests that in the context of demand volatility, these two distinct dimensions of IT-based integration have differing performance implications at different stages of the production process in terms of raw-materials inventory and finished-goods inventory, but not in terms of work-in-process inventory. Taken together, our study contributes to theoretical and managerial understanding of the contingent value of information systems in volatile demand conditions in the supply chain context.     

极端制造

极端制造（Extreme manufacturing）是指在极端条件下，制造极端尺度或极高功能的器件和功能系统，集中表现在微细制造、超精密制造、巨系统制造等方面。如汽车安全气囊、医疗用的微管道试剂测试设备等。[第一段]     

Human resource management systems and organizational performance: a test of a mediating model in the Greek manufacturing context

This paper investigates the relationship between systems of HRM policies and organizational performance. The research is based on a sample of 178 organizations operating in the Greek manufacturing sector. A mediation model is tested to examine the link between HRM and organizational performance. The results of this study support the hypothesis that the relationship between the HRM systems of resourcing–development and reward–relations, and organizational performance, is mediated through the HRM outcomes of skills and attitudes. The paper not only supports the theory that HRM systems have a positive impact on organizational performance but also explains the mechanisms through which HRM systems improve organizational performance.     

Inventory buffers in recoverable manufacturing

Recoverable manufacturing is becoming an increasingly important alternative to firms as they develop environmentally sound strategies aimed at minimizing waste and resources. It helps minimize costs and conserve resources through methods such as extending product life cycles via remanufacturing which uses only a fraction of the resources and energy associated with a new product. In this study the creation and location of inventory buffers (delay buffers) and their impact on other managerial operating decisions is examined in the context of a remanufacturing environment. It is shown that inventory buffer decisions are significantly impacted by the method used to release parts from the disassembly stage to the remanufacturing stage within the remanufacturing environment. Based on observations and on discussions with managers in remanufacturing facilities several managerial propositions are stated. These propositions are examined, via a simulation model of an operating facility, and recommendations as to the inventory buffer to use in conjunction with the disassembly release policy (for parts) are made for the remanufacturing environment.     

Global financial uncertainty

We estimate a novel measure of global financial uncertainty (GFU) with a dynamic factor framework that jointly models global, regional, and country-specific factors. We quantify the impact of GFU shocks on global output with a VAR analysis that achieves set identification via a combination of narrative, sign, ratio, and correlation restrictions. We find that the contraction in world output during the Great Recession would have been 13% milder in absence of GFU shocks. We also find support for a global finance uncertainty multiplier: the more global financial conditions deteriorate after a GFU shock, the larger the world output contraction is.     

Quantifying uncertainty in applying importance-performance analysis

In a traditional importance-performance analysis (IPA), the information of uncertainty for importance and performance does not normally take into account from the survey but does commonly exist in practice. To further consider the uncertainty for each item from the survey results, the IPA under uncertainty method is proposed in this study. The traditional IPA possesses the ease of calculation and can be further viewed as a special case of the proposed IPA under uncertainty method, which is more complicated for computation but provides much more information for a decision maker to judge the strengths and weaknesses effectively by considering sampling, instrument effects, measurement conditions, sample effects, computational effects, random effects, etc. Finally, a brief case is illustrated to show how the proposed IPA under uncertainty method works and what the differences are between the traditional IPA and proposed methods.