CAX-ICT/ERP技术对敏捷制造战略决策的调节效应

本文从战略的市场观出发,探讨敏捷制造战略的决策机理,以及数字化制造技术对决策模型的影响.通过对敏捷制造战略、制造战略一致性、使能技术等理论的研究,本文认为竞争优先权在市场环境认知对敏捷制造战略的作用中不仅仅起到了间接效应,还有可能起到中介效应.而且企业数字化制造技术和信息技术的应用程度对于敏捷制造战略的决策起到了调节作用.在理论假设的基础上,本文构建了结构方程模型,包括市场环境认知对敏捷制造战略的总效应模型,以及竞争优先权的中介效应模型.在国际制造业战略调查2005(International Manufacturing Strategy Survey,IMSSⅣ)的支持下,本文对假设进行验证分析.实证结果显示,竞争优先权具有显著的中介效应,甚至是完全中介效应.而数字化制造技术和信息技术的应用程度,也对敏捷制造战略的决策起到了显著的调节效应.     

Adaptive agent-based manufacturing control and its application to flow shop routing control

The manufacturing industry is currently facing unprecedented challenges from changes and disturbances. The sources of these changes and disturbances are of different scope and magnitude. They can be of a commercial nature, or linked to fast product development and design, or purely operational (e.g. rush order, machine breakdown, material shortage etc.). In order to meet these requirements it is increasingly important that a production operation be flexible and is able to adapt to new and more suitable ways of operating. This paper focuses on a new strategy for enabling manufacturing control systems to adapt to changing conditions both in terms of product variation and production system upgrades. The approach proposed is based on two key concepts: (1) An autonomous and distributed approach to manufacturing control based on multi-agent methods in which so called operational agents represent the key physical and logical elements in the production environment to be controlled – for example, products and machines and the control strategies that drive them and (2) An adaptation mechanism based around the evolutionary concept of replicator dynamics which updates the behaviour of newly formed operational agents based on historical performance records in order to be better suited to the production environment. An application of this approach for route selection of similar products in manufacturing flow shops is developed and is illustrated in this paper using an example based on the control of an automobile paint shop.     

Supply chain reconfiguration opportunities arising from additive manufacturing technologies in the digital era

Abstract

The aim of this study is to explore the impact of additive manufacturing (AM) technologies on the configuration opportunities of supply chains (SCs) within the digital manufacturing era. To this effect, we first conduct a critical taxonomy of existing research efforts and then propose an integrated decision-making process for the design and management of SCs defined by digital manufacturing technologies. Following, we provide an integrated framework for future SC reconfiguration opportunities arising from the adoption of AM on a supply network setting. Our analysis demonstrates the significant ramifications of AM techniques on SC configuration and sustainability performance as opposed to conventional value networks; however, existing research is evidently limited due to scope related challenges and the inherent complexity at the manufacturing echelon of the respective supply networks.     

Redistributed Manufacturing and the Impact of Big Data: A Consumer Goods Perspective

Abstract

Digitalization and the growth of big data promise greater customization as well as change in how manufacturing is distributed. Yet, challenges arise in applying these new approaches in consumer goods industries that often emphasize mass production and extended supply chains. We build a conceptual framework to explore whether big data combined with new manufacturing technologies can facilitate redistributed manufacturing (RDM). Through analysis of 24 consumer goods industry cases using primary and secondary data, we investigated evolving manufacturing configurations, their underlying drivers, the role of big data applications, and their impact on the redistribution of manufacturing. We find some applications of RDM concepts, although in other cases existing manufacturing configurations are leveraged for high volume consumer goods products through big data analytics and market segmentation. The analysis indicates that the framework put forward in the paper has broader value in organizing thinking about emerging interrelationships between big data and manufacturing.     

A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework

Increasing global competition on product quality and production costs, and the need for flexibility in production petition for transformed production processes which enable high level of connectivity and integration between business processes and systems. Much of the conventional computer- integrated efforts and advanced manufacturing technologies are limited in scope and restricted to only some organisational areas. Such limited scope, which stems from limited connectivity and integration between manufacturing and enterprise systems, confines the achievement of full potential of these systems within manufacturing. Industry 4.0, characterised by computing developments, can create a platform for addressing integration challenge through enabling comprehensive connectivity. Hence, this paper, through following deductive research paradigm and using systems theory as the theoretical base, aims to investigate recent academic research and industrial reports in the area of Industry 4.0 and smart manufacturing to provide detailed insights on execution of Industry 4.0, and to propose a theoretical framework for operationalisation of Industry 4.0 in manufacturing.     

The emergence of sustainable manufacturing practices

Sustainable manufacturing appears to be a rapidly developing field and it would be expected that there is a growing body of knowledge in this area. Initial examination of the literature shows evidence of sustainable work in the areas of product design, supply chain, production technology and waste avoidance activities. Manufacturers publish metrics showing significant improvements in environmental performance at high level but information on how these improvements are achieved is sparse. Examining peer-reviewed publications focused on production operations there are few cases reporting details and there has been little prior analysis of published sustainable manufacturing activity. Moreover, the mismatch between academic and practitioner language leads to challenges in interpretation. This article captures and analyses the types of sustainable manufacturing activities through literature review. In turn, this can help manufacturers to access examples of good practice and help academics identify areas for future research.     

Developing an understanding of lean thinking in process industries

The research described in this article has set out to determine the extent to which lean thinking is being adopted as a manufacturing philosophy by process industries. It concerns the application and examination of key lean manufacturing principles, namely, the alignment of production with demand, the elimination of waste, the integration of suppliers (IS) and the creative involvement of the workforce in improvement activities, to a range of process industry types based on Dennis and Meredith's taxonomy of process industry transformation systems [Dennis, D. and Meredith, J., 2000a. An empirical analysis of process industry transformation systems. Management Science, 46 (8), 1085–1099]. Seventy-nine process industry product streams across 62 sites were studied. In addition, a five-site investigative field study was also undertaken. The findings demonstrate that lean practices associated with the elimination of waste are consistently used for improving manufacturing performance throughout the taxonomy of process industries but practices associated with other lean principles are inconsistently applied. In addition, explanations are provided on the appropriateness of lean thinking as a manufacturing philosophy and a strategy for improving manufacturing performance in different process industry types, and on the extent to which lean principles and practices are dependent on the characteristics of process industry transformation systems.     

Interpretive structural modeling-based framework for mass customisation enablers: an Indian footwear case

Abstract

In the epoch of open economy and with the emergence of availability of individualised products over the Internet, Indian manufacturing industries are facing an enormous pressure to become more flexible and responsive, to accomplish customer’s varied and increasing demands. Mass customisation (MC) is about developing a customised product on demand for a particular customer after reception of a real order and producing it with the similar operational efficiency as one would anticipate from a mass-produced product. MC takes into account the merits of both the earlier systems of production, i.e. mass production and craft production. The craft production satisfies the personalised demands of customers and the mass production produces a limited variety of products at lower cost. Industries in developing countries such as India confront pressure from several perspectives to adopt MC. This study has been presented in the context of Indian manufacturing industries, and particularly for footwear industries to examine the enablers of MC. Achieving MC, however, require certain enabling technologies and processes in place. Several such enablers have been identified from the research literature. The objective of this study it to key out significantly important enablers for MC using interpretive structural modelling (ISM), and develop a hierarchy of these enablers for the Indian footwear units. ISM results show that modularity-based practices, digital manufacturing practices and supply chain integration are the most important MC enablers. Enhanced flexibility and responsiveness in the footwear production system can be achieved through modular and reconfigurable production system.     

Production Competence and Business Strategy: Do They Affect Business Performance?

The purpose of this article is threefold. First, a comprehensive measure of production competence that assesses the level of support that manufacturing provides for the strategic objectives of a firm is developed. Second, hypotheses relating production competence to several financial measures of business performance are tested using data from a large sample of firms (n=65) in the furniture industry. Third, the impact of business strategy both directly on performance and as a moderating variable in relation to production competence is analyzed. The results of the study suggest that production competence may have more of an effect on business performance for certain strategies than for others.     

Understanding the emergence of redistributed manufacturing: an ambidexterity perspective

Abstract

This paper extends operations strategy theory on efficiency and flexibility trade-offs to the emergent phenomenon of redistributed manufacturing (RDM). The study adopts a multiple-case design including five small and five large pharmaceutical firms. We propose that organizations can gain the efficiency benefits of centralized manufacturing and the flexibility advantages of RDM by building an ambidexterity capability. To build such a capability, large firms can structurally partition their manufacturing and supply management functions, with one sub-unit managing centralized production and the other RDM. Smaller enterprises can build an ambidexterity capability by creating the right organizational context, where multi-skilled workers switch between efficient and flexible tasks. This paper contributes to theory by explaining the emergence of RDM using an organizational ambidexterity lens, laying the groundwork for new theory development in the field. We provide managers with a practical example of how to build an ambidexterity capability to realize flexibility and efficiency advantages.     

Redistributing food manufacturing: models for the creation and operation of responsive and agile production networks

Abstract

The food industry is a mature industry where its profit margins are thin and its R&D failure rate for new products is substantial. Both facts indicate that decent return on development investment cannot be provided and that the food industry cannot still rely on its traditional way of thinking and innovating. New product development cycles should involve not only the product itself but also the entire manufacturing and distribution network. Hence, collaborative manufacturing and servitization models are key elements for the rapid transformation of the new food industry. Moreover, recent developments in technology have the potential to shift manufacturing production away from large scale manufacturing plants to a network of distributed, smaller scale localized and customizable manufacturing facilities. Such a network is the crucial enabler for the on-demand manufacture of new or even, existing food products to rapidly respond to the consumers´ demands.     

A heterarchical generic discrete manufacturing simulation model and its application in a world class manufacturing environment

Current factory design and evaluation is very primitive. Factory components are designed in many cases independently. Product and process design are not well integrated. An encompassing framework is needed for iterating through a series of total factory designs, searching for optimal performance. In addition, a vehicle is needed for predicting the performance of a proposed advanced manufacturing system, so that engineers may have a sound means for evaluating such proposals. A heterarchical discrete manufacturing SIMNET II simulation model (SIMCELLS) was developed as a comprehensive methodology for designing and evaluating discrete manufacturing systems. SIMCELLS allows manufacturing systems engineers to experiment with alternative system structures and control strategies while seeking that combination of design features that will produce the desired overall system performance. The model in combination with a modernization programme is enabling a firm to successfully manufacture and sell trucks meeting international standards. The SIMNET II model     

Implementing lean sigma in an Indian rotary switches manufacturing organisation

The manufacturing organisations have been witnessing a transformation in the manufacturing paradigm. Lean sigma and six sigma are the two business process improvement strategies widely employed by organisations to enhance their manufacturing performance. To achieve dramatic result in cost, quality and time, best strategies need to be applied to enhance the process performance. Lean sigma and six sigma are two powerful and effective strategies, enabling the organisation to overcome their weakness and for retaining their improvement. Lean sigma combines the variability reduction tools and techniques drawn from six sigma with the waste and non-value added elimination tools and techniques from lean manufacturing to achieve savings in the organisations. This study uses an integrated lean sigma framework to reduce the defects occurring in the final product, thereby contributing savings to the organisation. The proposed framework integrates lean tools within six sigma methodology to enhance the bottom-line results and to win customer loyalty. The implementation of the proposed framework shows dramatic improvement in key metrics and substantial financial savings to be generated by the organisation.     

Implementation of holonic scheduling and control in flow-line manufacturing systems: die-casting case study

The success of a flow-line manufacturing system depends on effective production scheduling and control. However, it has been found that current flow-line manufacturing scheduling and control algorithms lack the flexibility to handle interruptions or resource breakdowns; hence, system performance drops automatically and rapidly when interruptions occur. The objective of this research is to investigate if the performance of a flow-line manufacturing system can be improved by integrating agent-based, holonic scheduling and production control. A holonic manufacturing scheduling model has been developed and implemented into a die-casting manufacturing flow line throughout a simulation model. The analysis takes into account the comparisons of overall performances of the system models with the holonic scheduling and conventional scheduling approaches. Simulation results indicate that the holonic manufacturing scheduling and control can significantly increase the uptime efficiency and the production rate of the flow-line manufacturing system.     

An integrated lean and green approach for improving sustainability performance: a case study of a packaging manufacturing SME in the U.K.

Abstract

Competitive landscape, informed consumers and stringent regulations have forced many manufacturing small- and medium-sized enterprises (SMEs) to focus on operational efficiency along with sustainability issues in recent years. While many manufacturing organisations have been taking lean initiatives for the past few years for operational excellence, an impulsive rush to adopt lean without a strategic deployment vision has led to scattered implementation of lean tools and projects without desired success. Many researchers and practitioners prescribe value stream mapping as a foundation for lean transformation initiatives; however, little empirical work is available on the symbiosis of lean and green paradigms to reap maximum benefits. This research, through a systematic methodology and a novel tool called Green Integrated Value Stream Mapping (GIVSM), integrates both paradigms in a case study on a U.K. packaging-manufacturing SME. Applying the GIVSM demonstrates that simultaneous deployment of lean and green paradigms have synergistic effect for improving both operational efficiency and environmental performance. In addition, continuous improvement framework with sustainable procurement is proposed to overcome the lean-green misalignments. This study also provides a guiding reference for practitioners to undertake similar improvement projects and identifies opportunities to expand this academic research on integrated lean-green approach into other industry sectors.     

Examining the cross-level relationship between shared leadership and learning in teams: Evidence from China

The current study extends the literature on shared leadership by exploring the questions of whether, how, and when shared leadership makes an impact on team and individual learning behaviors. Specifically, the current research proposed that shared leadership has a positive impact on both team and individual learning and this impact was realized through the mediating role of team psychological safety. Furthermore, the study introduces job variety as a potential moderator in the relationships between shared leadership on team and individual learning behaviors through team psychological safety, such that the indirect effects are more positive when team members perceived high job variety. Using 263 members from 50 teams in China, the hypotheses were largely supported. Theoretical contributions, practical implications and future research directions are discussed.     

Re-distributed manufacturing and the food-water-energy nexus: opportunities and challenges

Abstract

Addressing the intersection of two important emerging research areas, re-distributed manufacturing (RDM) and the food-energy-water (FEW) nexus, this work combines insights from engineering, business and policy perspectives and explores opportunities and challenges towards a more localized and sustainable food system. Analysis centred on two specific food products, namely bread and tomato paste reveals that the feasibility and potential of RDM vary with the type of food product and the supply chain (SC) components. Physically, energy efficiency, water consumption and reduction of waste and carbon footprint may be affected by scale and location of production activities and potentials of industrial symbiosis. From the business perspective, novel products, new markets and new business models are expected in order for food RDM to penetrate within the established food industry. Studies on policies, through the lens of public procurement, call for solid evidence of envisioned environmental, social and economic benefits of a more localized food system. An initial integrated framework is proposed for understanding and assessing food RDM and the FEW nexus.     

The roles of supply network centralities in firm performance and the moderating effects of reputation and export-orientation

Abstract

This study explores how supply network degree, closeness, and betweenness centralities affect firm performance, and the moderating effects of organizational reputation (measured by PageRank centrality) and export-orientation. The supply chain relationship empirical data are drawn from manufacturing and manufacturing service companies in Hong Kong, China. Social network analysis and moderated regression analysis were adopted to test the hypotheses for a sample of 814 focal firms with 3086 supply chain ties. The results indicate that in-degree and closeness centralities improve firm performance. Reputation is found to positively moderate the relationship between closeness and sales performance, but negatively moderates the relationship between betweenness and sales performance. Export-orientation has no effect on relationships. This study contributes to the literature by providing additional empirical evidence on the role of supply network position in firm performance. It also introduces PageRank centrality as a new measure of organizational reputation in a supply network.     

Performance measurement systems and time-based manufacturing

Today's production environment is often undermined by control mechanisms that were designed for another era. Specifically, most organizations control manufacturing wholly or in part using cost-based performance measurement systems. Depending upon the firm's objectives and key manufacturing task(s), too much attention upon cost considerations can have devastating effects upon overall performance. This paper discusses this issue in the context of corporations that increasingly find themselves competing for business on the dimension of time. A case study is presented to illustrate how time-based companies can be adversely affected by an overemphasis upon cost.