基于服务化的制造企业与服务提供商的演化博弈分析

制造企业从传统制造向服务型制造转变是其转型升级、提升竞争力的重要路径之一。而企业在转型过程中受自身资源约束,往往需要服务提供商的配合。本文在构建制造企业与服务企业的收益函数基础上,建立两方非对称演化博弈模型,探究制造企业与服务提供商合作实施服务化策略的规律,并运用MATLAB仿真,深入研究相关因素对制造企业与服务提供商合作实施服务化策略的影响作用。研究表明,制造企业对服务提供商所提供服务的依赖度、服务化制造企业与未服务化制造企业间的差异化竞争度、双方合作前后的收益和成本、合作不成功造成的损失、收益的分配等因素是合作意愿的重要影响因素,且差异化竞争度比服务依赖度对合作意愿的影响作用更强烈、与收益相比博弈主体对成本的变化更敏感、服务提供商更易动摇合作的意愿、存在最优的收益分配系数使制造企业与服务提供商采取合作策略的意愿最强。     

Capacitated qualification management in semiconductor manufacturing

In semiconductor manufacturing, machines are usually qualified to process a limited number of recipes related to products. It is possible to qualify recipes on machines to better balance the workload on machines in a given toolset. However, all machines of a toolset do not have equal uptimes and may further suffer from scheduled and unscheduled downtimes. This may heavily impact an efficient recipe-to-machine qualification configuration. In this paper, we propose indicators for recipe-to-machine qualification management based on the overall toolset workload balance under capacity constraints. The models, deployed in industry, demonstrate that the toolset capacity must be considered while managing qualifications. Industrial experiments show how capacity consideration leads to an optimal qualification configuration and therefore capacity utilization.     

Managing Quality in a Heterogeneous Contract Manufacturing Environment

The outsourcing of production is a prominent strategy across industries. While the strategy can have many benefits, the popular press reports numerous examples of quality issues originating with contract manufacturers (CMs). Observing these quality issues, multiple scholars call for the quality management (QM) literature to be extended to explicitly address the challenges of managing quality in an inter‐organizational context. Additionally, QM researchers recognize the need to consider contextual contingencies for the effectiveness of specific QM practices. Responding to these calls, we focus on the potential contingent factor of CM heterogeneity (i.e. the degree of product and process diversity at the CM plant). We first test the direct relationship between CM manufacturing heterogeneity and CM quality conformance performance, as reported by the CM's customers, brand‐owning firms. Next, we evaluate the effectiveness of multiple practices that these brand‐owning firms can employ to mitigate the anticipated negative effect of heterogeneity on their CM's conformance quality. We utilize paired dyadic data on 106 contract manufacturing relationships in the food, drug, and medical device industries to test our hypothesized model. The results of our analysis reveal a negative association between heterogeneity at CM facilities and their conformance quality performance. Our results also identify cooperative relationships, contractual coordination provisions, and formal performance assessment programs as practices that brand‐owning firms can employ to largely eliminate the negative impact of heterogeneity on CMs’ conformance quality performance.     

Optimal timing of investments in advanced manufacturing systems under competition

Large initial investment in advanced manufacturing systems (AMS) makes it imperative to develop economic justification methods. Once the new system has been properly justified, a critical issue facing the firm is the optimal timing of the installation in an industry. In this paper we use a game-theoretic model by which the optimal timing of the investments in AMSs is analysed. The existence of timing equilibria is demonstrated and simple decision rules of optimal strategy are provided. Economic interpretations of the decision rules are subsequently made clear. Finally, illustrative examples are used to demonstrate the correctness and usefulness of the analysis.     

Multimedia in manufacturing

Multimedia is promoted as the technology for the future from the perspective of applications and its role in improving enterprise integration and management effectiveness. As yet few useful applications are found in business and manufacturing. Nevertheless, a growing number of businesses are looking to multimedia for real-life business solutions. Computerized production management systems have enjoyed the same growth and popularity as the personal computers and workstations on which they run. The application of multimedia in various functional areas of manufacturing such as marketing, design and engineering, production and distribution has tremendous potential, taking into account its capacity to integrate text, drawings, full-vector graphics, and full-motion video. Multimedia can also be used as an open development framework for manufacturing applications, especially in CAD, CAE and CAM, by providing users with tools to re-engineer and integrate product and process information. Advances in telecommunications and associated technological developments. Like the personal communicator and the video phone will increasingly add to the importance of multimedia in modern manufacturing. In addition, the future of manufacturing depends crucially on a well-trained employee base. Consequently, interactive video-based training programs appear ideal for jobs that have a high level of human error. In factories, computers and interactive video have been widely used. Realizing the importance of multimedia in manufacturing, especially in the process of enterprise integration and integrating the functional areas of manufacturing, an attempt has been made to investigate the applications of multimedia and identify some future research directions.     

Study of the behaviour of flexible production systems using neural nets

Owing to high development and acquisition costs, production systems require very detailed analysis for pre-design specifications, and an adjustment in operating philosophies. Detailed simulation models are one of the most important instruments to achieve this goal; normally the simulator must be custom-built, based on an accurate study of the specific industrial problem. The proposed management and economical analysis uses mathematical meta-models obtained from experimental designs produced by the simulator; today the detail level and precision required is very high, so these kinds of meta-model operate very close to their limit. Here we present a new methodology based on artificial neural networks that produces new types of meta-models which can correctly represent complex industrial systems. In this work we propose an application of this methodology together with a detailed analysis of the model development phase to highlight the potential of this instrument.     

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.     

Survey of manufacturing curricula from around the world

In the manufacturing organization cost or more specifically cost reduction is an everyday obsession with managers and engineers. To compete globally and win new contracts, manufacturing firms need to learn how to be responsive, lean and efficient. On the other hand, in order to retain and motivate workers, improve systems efficiency and conform to various regulations including health, safety and the environment, manufacturing firms need to continuously invest. Both opposing pressures create a challenging environment for manufacturing managers and engineers. This paper introduces research into how the manufacturing environment is changing and in particular the type of issues that manufacturing managers and engineers need to learn. The paper presents the first results of a study being conducted by a number of academic institutions and industries from around the world into manufacturing education issues. The principle aim of the research consortium is to anticipate the needs of manufacturing organization of the future and to provide a framework for curriculum development within universities that meet these needs. This paper specifically outlines the results of a study of existing manufacturing curricula from around the world and takes an in-depth look at four recently developed masters programmes.     

Multi-objectives exception management model for semiconductor back-end environment under turnkey service

On-time delivery is the need for customer satisfaction which is a critical factor in the survival of the semiconductor industry. The on-time-delivery performance of the whole semiconductor turnkey service depends on the performance of the back-end factories. Unfortunately, undesirable and inevitable production variations make it difficult to maintain and improve a factory's performance and more objectives such as cycle time, throughput rate and the due-date accuracy need to be simultaneously considered. This paper presents an exception management model in order to compromise the contradicting needs of delivery accuracy, throughput rate and cycle time. The exception model can be divided into three parts: (1) an integrated performance index is proposed to compromise multiple performance measures; (2) an AWDL (available WIP deviation level) determination model is designed to gather proper AWDLs for triggering exceptions and (3) a WIP correction action is proposed to make abnormal WIP levels back to normal levels as soon as possible. To evaluate the proposed WIP exception management model, a simulation model is constructed and experiments are then conducted. The simulation results show that the proposed model helps back-end factories to set proper exception triggering conditions, reduce uncertainty occurrences and achieve better performances on due dates.     

Validity and reliability of proposed framework of manufacturing excellence in the Indian industry

This article presents the findings of the empirical study of proposed framework of manufacturing excellence (ME) in the Indian industry. The study includes companies from five major sectors, namely automobile, process, machines and equipment, electronics and components and textile. Responses from 90 companies were analysed to explore the validity and reliability of the proposed framework of ME in Indian industry. The developed questionnaire is outlined along with the results obtained from the analysis of the data from the Indian industry. The framework shows high level of reliability and validity.