基于模糊信息熵的环境管理过程控制能力

建立了环境管理过程的闭环过程控制系统模型,用模糊控制系统表达环境管理过程中的不确定性,分析了环境管理过程的控制能力,建立了过程控制能力函数。将信息熵引入模糊环境过程控制函数的参数识别,建立了环境管理过程度量方法。同时,建立了环境管理过程决策支持系统,以实现环境管理过程的参数识别和能力评估。     

基于能值分析的产业集聚区生态经济绩效评价研究

运用能值分析理论及方法,将产业集聚系统的产业、人口、资源和环境生态等各个子系统统一起来,建立基于系统结构、功能和生态效率和可持续发展指数的综合评价体系,对产业集聚系统的发展现状、动态与动因整合分析,以此来指导和优化产业集聚的可持续发展模式,并以大连七贤岭产业化基地为案例开展了生态经济绩效评价。     

The fastest itinerary in time-dependent decentralized travel information systems

A travel information system (TIS) provides customers with information about transportation, transfers, and routings. A decentralized TIS is composed of autonomous subsystems and a central computer, where local subsystems have full control of their data and there is not a complete database in the central computer about the entire TIS. The transportation vehicles are scheduled. A travel itinerary from one spot to another contains the travel path and the schedule of transportations. The approach presented in this paper is for the central computer to identify the fastest itinerary across autonomous subsystems, based on the incomplete local information provided by the independent subsystems.     

Design Principles for Flexible Systems

A fundamental aspect of designing systems with dedicated servers is identifying and improving the system bottlenecks. We extend the concept of a bottleneck to networks with heterogeneous, flexible servers. In contrast with a network with dedicated servers, the bottlenecks are not a priori obvious, but can be determined by solving a number of linear programming problems. Unlike the dedicated server case, we find that a bottleneck may span several nodes in the network. We then identify some characteristics of desirable flexibility structures. In particular, the chosen flexibility structure should not only achieve the maximal possible capacity (corresponding to full server flexibility), but should also have the feature that the entire network is the (unique) system bottleneck. The reason is that it is then possible to shift capacity between arbitrary nodes in the network, allowing the network to cope with demand fluctuations. Finally, we specify when certain flexibility structures (in particular chaining, targeted flexibility, and the “N” and “W” structures from the call center literature) possess these desirable characteristics.     

An Exploratory Study of the Impact of e‐Service Process on Online Customer Satisfaction

Although extensive academic research has examined the dynamics of interpersonal interactions between service providers and customers, much less research has investigated customer service encounters through technological interfaces such as the Web in electronic commerce transactions. Corporate websites have become an important point of contact with customers for many companies. Service has been described as one of the most important attributes for online business to influence traffic and sales. However, more research is needed to understand how Web‐based technological capabilities of services affect customer satisfaction. In this paper, we propose viewing the interface between online buyers and sellers through the lens of service management to identify possible determinants of online customer satisfaction. A company's website is considered its electronic service delivery system. We look at this electronic service delivery system from its process point of view. Our findings indicate that as the electronic service delivery system process improves, a customer's perception of the website's ease of use increases, leading to increased service value and perceived control over the process, which increases customer satisfaction. The research provides evidence that the technological capabilities embedded in the website processes are an important factor in determining service quality and ultimately online customer satisfaction.     

Measurement and decomposition of the Malmquist productivity index for parallel production systems

The conventional Malmquist productivity index (MPI), which ignores the internal structure of a production system when measuring changes in performance between two periods, may produce misleading results. This paper thus takes the operations of the component processes into account in investigating the MPI of parallel production systems. A relational data envelopment analysis (DEA) model is developed to measure the biennial MPIs of the system and internal processes at the same time, and it is shown that the former is a linear combination of the latter. This decomposition helps identify the processes that cause the decline in performance of the system. An example of 39 branches of a commercial bank, with deposits, sales, and services as the three major functions operating in parallel, is used to illustrate this approach.     

Component Criticality in Failure Cascade Processes of Network Systems

In this work, specific indicators are used to characterize the criticality of components in a network system with respect to their contribution to failure cascade processes. A realistic‐size network is considered as reference case study. Three different models of cascading failures are analyzed, differing both on the failure load distribution logic and on the cascade triggering event. The criticality indicators are compared to classical measures of topological centrality to identify the one most characteristic of the cascade processes considered.     

The Ocean Ranger Oil Rig Disaster: A Risk Analysis

This paper analyzes quantitatively the design of the Ocean Ranger off-shore oil drilling rig that capsized and sank on February 15, 1982 off the coast of Canada. A review of the actual disaster is also included based on evidence gathered by the Canadian Royal Commission. The risk analysis includes the construction of a failure modes and effects analysis (FMEA) table, a fault tree, and a quantitative evaluation including common cause failure of the rig components. In the case of the Ocean Ranger ballast control system, it was shown that the analysis was able both to successfully model the catastrophic system failure of the portholes, the actual system failure mode, and identify a common cause failure mode of the pump system. This study represents an application of reliability and risk techniques to the oil services industry.     

An Empirically Derived Model for the Adoption of Customer-based Interorganizational Systems*

Information systems (IS) researchers are now calling for the need to draw from the empirically rich field of organizational innovation. As the impact of strategic systems is increasingly being felt by organizations, the view that these systems are innovations or innovative uses of technology is becoming prevalent. Customer based interorganizational systems (CIOS) represent one of the most prominent types of such systems. This research investigates CIOS adoption. A model is constructed based on significant studies in innovation to identify factors facilitating the adoption decision of a CIOS. Data are gathered from 226 senior executives. Discriminant analysis is used to identify factors that distinguish adopters from nonadopters. Factor analysis of significant variables yielded a parsimonious model of CIOS adoption. The five factor model includes (1) a proactive technological orientation and (2) an internal push for the system as the two most significant sets of facilitators. Implications for research and practice are then discussed.     

Inventory management with variable lead-time dependent procurement cost

A reduction in the inventory replenishment lead-time allows reducing safety stock requirements and improving customer service. However, it might be accompanied by increased procurement costs because of premium charges imposed by suppliers, or higher transportation costs. This paper studies a single-stage variable lead-time inventory system with lead-time dependent procurement cost. Selection of the lead-time value represents finding the trade-off between benefits of lead-time reduction and increase in the procurement cost. A model for joint optimization of inventory and procurement costs is developed. Numerical studies are conducted to identify conditions under which lead-time reduction is favorable compared to procuring at the lowest cost.     

基于P-中位模型的网络关键设施识别问题的算法设计与实现

在网络服务系统中,存在由于各种人为因素(恐怖行为、黑客袭击等)导致网络设施服务中断的情况.为抵御有预谋的攻击,需要更加重视如何识别网络系统中的关键设施.结合P-中位选址模型,以设施失效对网络系统运行效率影响最大化为目标,给出针对基于P-中位模型的网络关键设施识别问题(即R-中断模型),并针对该模型提出贪婪搜索、邻域搜索和禁忌搜索3种算法.结合Galvo、Europe 150 和USA 263 等大型的测试实例,对上述算法进行比较分析,得出禁忌搜索算法最有效的结论.最后,结合Europe 150 数据的例子比较了P-中位问题与R-中断问题,认为在选址决策中事先考虑到人为攻击导致的中断问题可以增加网络的抗攻击能力,减少损失.     

Bottleneck identification and ranking model for mine operations

Abstract

Mining has a long history of production and operations management. Considering the increasing complexity of reserves, declining metal grades, and worldwide price volatilities, mines have to operate more efficiently than ever. In recent years, companies have been adopting innovative solutions and technologies to reduce costs and remain competitive in the global market. Specifically, management of bottlenecks has been in the focus of the manufacturing industry for decades now. The mining industry has made significant advancements in process improvement tools using equipment, human, and asset tracking capabilities. However, to date, there is no holistic approach or system to identify and manage the bottleneck in the entire value chain of mining. This research proposes a new method to identify and rank the bottlenecks in a mine value chain. The method is applied in a coal mine and the results are presented in the case study.     

Implementing an RFID-based manufacturing process management system: Lessons learned and success factors

A growing number of organisations are using radio frequency identification (RFID) technology to improve their manufacturing processes. A case study approach is used to explore the development of an RFID-based manufacturing process management system in a garment factory in China. The results indicate that both technology push and need pull factors influence the garment factory's intention to adopt RFID technology. The technology push factors include relative advantage, compatibility, complexity, extendibility and the cost of the technology, whereas the need pull factors include competitor and customer pressure. We identify eight factors for the successful implementation of an RFID-based manufacturing process management system, namely, vendor selection, organisational motivation, cost/benefit evaluation, top management support, user involvement, the extent of progress supervision, staff competence and training, and policy, structure and operating process compatibility. This in-depth case study details the organisation's experience and identifies the challenges it faces and important issues in the development and implementation of the system. Implications for academics and practitioners are discussed.     

Evaluating Housing Needs and Preferences of Generation Y in Malaysia

In Malaysia, housing providers affect the planning system as housing industry constantly evolves to meet homebuyer needs. Generation Y has exhibited dissimilar housing needs compared to Generation X and Baby Boomer. Thus, housing developers seek to identify the current needs for young homebuyers to avoid experiencing unsold properties. This research aims to identify the fundamental housing needs and psychographic characteristics towards their housing preferences and future planning demands. A quantitative survey was used for collecting data and a statistical analysis was performed to evaluate research outcomes. This research will help local housing developers to understand Generation Y needs and preferences for the future housing demand.     

A production management information model for discrete manufacturing

The Manufacturing Systems Integration (MSI) project at the National Institute of Standards and Technology is developing a system architecture that incorporates an integrated production planning and control environment. The development of this architecture includes the definition of information models describing the information which needs to be shared among production management systems (production planning, scheduling and control systems) in order to achieve the integration of manufacturing systems. This paper presents the production management information model within the MSI project. The main focus of the model is to identify and characterize the relationships between orders and workpieces, to identify the information necessary to achieve workpiece tracking and to identify the information necessary to achieve resource requirements specifications for process plans.     

An information system for Just-In-Time

In recent years, U.S.'s worldwide industrial and economic leadership has been seriously challenged by many foreign countries. In order to counter the problem, many U.S. manufacturing companies have sought effective materials management systems such as MRP and the ‘Just-In-Time’ (JIT) system as used by many Japanese companies. Even through many practitioners and academicians have been studying the JIT concept and have recommended ways of adapting the concept to the U.S. manufacturing environment, not very many organizations are enjoying benefits of JIT system in full scale because of misunderstanding of information needs in JIT system. The objectives of this paper are (1) to identify information requirements of the materials management systems under JIT concept, (2) to compare them against the requirements under MRP system, and (3) to propose an integrated management information system to support materials management system in JIT environment. The goal of this paper is to facilitate more effective implementation of the JIT system, and stimulate further research on the subject matter.     

Addressing the Dependency Problem in Access Security System Architecture Design

The objective of this research is to present a method for evaluating the performance of access control security systems, such as airport security operations. This requires the examination of security system architectures, which involve security technology devices and the algorithms that coordinate their operations. Dependence between device responses in multiple-device systems is a critical practical issue in assessing the performance of such architectures, though no results on this problem have appeared in the literature. This paper presents a method for evaluating when multipledevice security systems with overlapping capabilities are cost-effective. This is achieved using a dependency structure for security system devices to quantify how various technologies interact and to measure the impact of device dependence on system error probabilities. A measure of device response dependence for a two-device system is defined and its properties are explored, including bounds on the dependency measure. The effect of dependence on the system Type I and Type II error probabilities is examined for the two-device system. System performance is compared for independent vs. dependent device responses and desirable dependence relationships are identified. Results are also presented for a cascading sequence of devices. An example is presented to illustrate the results for the two-device system. Implications of these results are discussed, such as how they can be used to identify the optimal use of security devices and to determine whether new technologies warrant investment.     

3 Merger and Acquisition Transactions and Executive Compensation: A Review of the Empirical Evidence

Abstract

The purpose of this paper is to review the existing empirical evidence and provide an integrative framework for the growing body of literature that is situated at the intersection of two highly debated topics: merger and acquisition (M&A) activities and executive compensation. The proposed framework structures the literature along two dimensions, such as M&A phases and firm's role in a M&A deal, allowing us to identify three main streams of research and five different conceptualizations of causal relationships between M&A transactions and executive compensation. Making a comprehensive review of empirical studies conducted to date we aim at shedding more light on the current and emerging knowledge in this field of investigation, discussing the inconsistencies encountered within each stream of research and suggesting promising directions for further exploration.     

Task Analysis for Industrial Work Process from Aspects of Human Reliability and System Safety

In the design, development, and manufacturing stage of industrial products, engineers usually focus on the problems caused by hardware or software, but pay less attention to problems caused by human error, which may significantly affect system reliability and safety. Although operating procedures are strictly followed, human error still may occur occasionally. Among the influencing factors, the inappropriate design of standard operation procedure (SOP) or standard assembly procedure (SAP) is an important and latent reason for unexpected results found during human operation. To reduce the error probability and error effects of these unexpected behaviors in the industrial work process, overall evaluation of SOP or SAP quality has become an essential task. The human error criticality analysis (HECA) method was developed to identify the potentially critical problems caused by human error in the human operation system. This method performs task analysis on the basis of operation procedure. For example, SOP, analyzes the human error probability (HEP) for each human operation step, and assesses its error effects to the whole system. The results of the analysis will show the interrelationship that exists between critical human tasks, critical human error modes, and human reliability information of the human operation system. To identify the robustness of the model, a case study of initiator assembly tasks was conducted. Results show that the HECA method is practicable in evaluating the operation procedure, and the information is valuable in identifying the means to upgrade human reliability and system safety for human tasks.     

Supply chain integration framework using literature review

Definitions and measures of supply chain integration (SCI) are diverse. More empirical research, with clear definition and appropriate measures are needed. The purpose of this article is to identify dimensions and variables for SCI and develop an integrated framework to facilitate this. A literature review of the relevant academic papers in international journals in Logistics, Supply Chain Management and Operations Management for the period 1995–2009 has been undertaken. This study reveals that information integration, coordination and resource sharing and organisational relationship linkage are three major dimensions for SCI. The proposed framework helps integrate both upstream suppliers and downstream customers with the focal organisation. It also allows measuring SCI using both qualitative and quantitative approach. This study encourages researchers and practitioners to identify dimensions and variables for SCI and analyses how it affects the overall supply chain (SC) performance in terms of efficiency and responsiveness. Although there is extensive research in the area of SCI, a comprehensive and integrated approach is missing. This study bridges the gap by developing a framework for measuring SCI, which enables any organisation to identify critical success factors for integrating their SC, measures the degree of integration qualitatively and quantitatively and suggest improvement measures.