Fuzzy-scorecard based logistics management in robust SCM

Due to the IT advances, the logistics management faces a change to the new era. This article proposes a novel method to evaluate the real-time overall performance of a logistics network for a supply chain. The corresponding strategies to manage the underperformed channels can be subsequently obtained in the method. Thus, the logistics network can be managed timely under the stochastic environment, and it makes the SCM robust. The overall performance of the logistics network is integrated by the individual logistics channel real-time performance which can be easily obtained by the new IT technologies such as RFID, etc. The fuzzy-scorecard is introduced to indicate the measured key performance indicators (KPI) for the network. Some numerical examples are presented to illustrate the various scenarios of management for the proposed method.     

Supply chain management information systems capabilities. An exploratory study of electronics manufacturers

Supply Chain Management Information Systems (SCM IS) play an increasingly critical role in the ability of firms to reduce costs and increase the responsiveness of their supply chain. This paper develops an empirically supported model of the organizational capabilities enabled by SCM IS. The model integrates and enriches theoretical and empirical studies of competitive strategy, supply chain management, and interorganizational information systems. Evidence from an exploratory case study of three large firms in the electronics manufacturing industry is examined to build a better-supported theory of SCM IS capabilities. The findings suggest the organizational capabilities enabled by SCM IS can be conceptualized as the level of support provided for: operational efficiency; operational flexibility; internal planning and analysis; and external planning and analysis. The theoretical model furthers an understanding of SCM IS capabilities and is sufficiently developed to permit operationalization for future studies evaluating the effectiveness of SCM IS.     

Dynamic mobile RFID-based supply chain control and management system in construction

Construction project control attempts to effectively obtain real-time information and enhance dynamic control and management via information sharing and analysis from involved participants of the projects to reduce construction conflicts and project delay. However, extending the construction project control system to job sites is considered inefficient since construction sites are unconventional practice. Integrating promising information technologies such as radio frequency identification (RFID) technology, mobile devices-PDA and web portals can help improve the effectiveness and convenience of information flow in construction supply chain control systems. Radio frequency identification is appropriate for various construction applications, and provides cost savings through increased speed and accuracy of data entry. This study demonstrates the effectiveness of a RFID-based supply chain management application called the mobile construction RFID-based dynamic supply chain management (M-ConRDSCM) system in construction projects, demonstrating that it responds efficiently and enhances the information flow among offices and sites in a construction supply chain environment. The M-ConRDSCM system is then applied to a selected case study involving a High-Tech factory building in Taiwan to verify the proposed methodology and demonstrate the effectiveness of information sharing of project control in the construction phase. The advantage of the M-ConRDSCM system lies not only in improving work efficiency for on-site engineers, but also in providing dynamic operation control and management to enable project participants to control the whole project. Moreover, this study presents a generic system architecture and its implementation.     

Business process integration as a solution to the implementation of supply chain management systems

In the domain of supply chain management (SCM), various software packages have been developed for planning business strategies. To solve the problem of system productivity in applying planning packages, we propose a solution concept, business process integration (BPI), which fuses workflow and enterprise application integration (EAI) technology. Two characteristic policies are included in BPI. The first is to design the minimum set of business processes for real-time information sharing with planning packages without changing other processes. The second is to integrate several systems with EAI technology and to manage their execution with a workflow tool. Based on these policies, we propose various design templates and integration adapters. Our evaluation shows that using BPI, a target system can be developed with less manpower, in less time, and with higher quality than previous methods.     

Supply chain management ontology from an ontology engineering perspective

Knowledge sharing and reuse are important factors affecting the performance of supply chains. These factors can be amplified in information systems by supply chain management (SCM) ontology. The literature provides various SCM ontologies for a range of industries and tasks. Although many studies make claims of the benefits of SCM ontology, it is unclear to what degree the development of these ontologies is informed by research outcomes from the ontology engineering field. This field has produced a set of specific engineering techniques, which are supposed to help developing quality ontologies. This article reports a study that assesses the adoption of ontology engineering techniques in 16 SCM ontologies. Based on these findings, several implications for research as well as SCM ontology adoption are articulated.     

Design for usability on supply chain management systems implementation

Supply chain management (SCM) systems implementation has become a fashion due to advances in information technology and pressures of market competition. Unfortunately, successful implementation was rare. In this article, the concept of usability was extended in an explorative case study to crystallize design for usability (DFU) principles in a large‐scale SCM systems implementation project at a leading semiconductor manufacturing company in Taiwan. Proposed was a holistic usability framework to guide the analysis of DFU as well as the compilation of an evidence database composed of design documentation, post hoc evaluation, semistructured interviews, and participant observation. This research revealed a set of usability needs and coping strategies found throughout a series of systems design and redesign processes at the case company. As a result, an emergent usability framework in the form of ICOM (Input, Control, Output, and Mechanism) dimensions was proposed to guide the implementation of SCM systems. © 2009 Wiley Periodicals, Inc.     

基于网格的供应链信息系统的建模与分析

当今供应链的竞争已成为企业竞争的焦点，构建一个分布式、集成化的供应链管理信息系统已成为关键。结合供应链管理信息系统的特点，并基于Globus Toolkit和开放网格服务架构，该文构建了基于开放网格基础设施的供应链管理信息系统的模型。并通过一个实例利用时间Petri网进行建模分析，验证了该模型在提高供应链效率方面的作用。     

Designing fuzzy-genetic learner model based on multi-agent systems in supply chain management

Supply chain requirements and challenges in recent years have made managers to explore new methods in dealing with supply chain management (SCM) problems. Methods with high flexibility which can adapt plans to real conditions help one to make a decision at the right time.In the SCM, distribution and allocation problems are of enormous significance and due to their applications in the cross-functional and final parts of SCM problems, they are in a particular position among the SCM problems.In this paper, by proposing an architecture based up on multi-agent system (MAS), a model is developed to tackle such problems as the nature of supply chain distributions, dynamic distributions systems (DS), uncertain parameters in DS, management of diverse objectives in DS, need for flexibility in DS and other factors considered as challenges and designing requirements in an agile model which can be all found in the SCM. MAS was used in this article owing to their special attributes and features. In MAS, each agent follows up a duty in a self-contained way and is able to adapt it to the environmental changes, after all helping the system to stay alive.     

A case study of an inter-enterprise workflow-supported supply chain management system

Doing business over the Internet is cheap and convenient. This enlarges the view of enterprises and gives them an opportunity to select their partners. To support business-to-business operations, an information system (IS) with an embedded workflow management component is needed. The inherent characteristics of such a system makes it suitable to implement cross-organization management. Nowadays, however, these system additions are not common. When developing a supply chain management (SCM) system for a large motorcycle corporation in China, we had to construct an inter-enterprise architecture using the internet. The main part of this is a workflow-supported inner supply chain system and an integrated interface. In it, the business processes are defined and executed by the supply chain management system. The independent inner systems are connected by the integrated interface into a large, global, supply chain manage system to management business processes across the independent enterprises. This paper presents the system design and implementation and discusses our experiences and lessons learned.     

Interactions of agents in performance based supply chain management

To acquire a competitive advantage in the expanding market, manufacturing companies should be able to manage their supply chain as much effective as possible. Measuring the supply chain performance is one of the main indicators of business success. Supply chain management (SCM) involves managing the flow of materials from suppliers to manufacturing units. This paper proposes a SCM model with performance measurement capabilities. The model is designed in such a way that it well suits to multi agent systems and related implementations. This paper highlights the components of the model especially pointing out the key parameters of performance indicators.     

Relation model describing the effects of introducing RFID in the supply chain: evidence from the food and beverage industry in South Korea

The development of information technology has rapidly changed the logistics industry. RFID has become more and more important in the context of supply chain management (SCM), and implementation of RFID in SCM brings with it the potential to manage the information flow and to support communication and collaboration along the supply chain. This study was conducted to build a relation model, which is a structural model, to identify the effects of introducing RFID into the supply chain of the food and beverage industry in Korea. The supply chain of the food and beverage industry was divided into five activities: procurement, production, transport, sale, warehousing, and administration. This study was based on the premise that RFID will be embedded in a transport box or pallet circulated in the SC. The model showed that SC activities have positive relationships through the RFID system, and the introduction of RFID promotes information interchanges between SC activities, which in turn enable the coordination and consolidation of a total SCM. From the results of this study, it is expected that the RFID system does not only enable the SC partners to improve their utilities but also promotes the efficiency of SCM as a whole. This is meaningful considering that there is still a controversy regarding the effects of RFID on SCM.     

A cooperative advertising collaboration policy in supply chain management under uncertain conditions

Many industries are facing big challenges to design supply chains in a way to maximize the profit and meet the heightened expectations of the customer. This new era entirely relies on the dynamic advantages of competition and the role played by the collaboration policy. A global economy and increasing demand have put a huge pressure on supply chain partners to build a collaboration policy based on price, order quantity, and advertising. Companies are adopting the idea of ”shaking hands” to obtain more profit instead of taking risks through competition. Cooperative (co-op) advertising is a significant policy of centralized supply chain management (SCM) to boost the revenues generated by the supplier, manufacturer, and retailers. The uncertain costs associated with the supply chain management also create obstacles in economic analysis and feasibility. These uncertainties are associated with the basic costs of all supply chain partners, which are represented using a signed distance formula. This paper develops the concept of co-op advertising among the supplier, manufacturer, and retailers with a variable demand driven by selling price and advertising costs, where all basic costs are considered as fuzzy. The profit is optimized by considering variable cycle time, shipments, pricing and advertising costs for the decision support system of the supply chain management. The optimal results of the co-op advertisement ensured an increase in the revenue of whole supply chain.     

Fuzzy DEMATEL method for developing supplier selection criteria

Supply chain management (SCM) practices have flourished since the 1990s. Enterprises realize that a large amount of direct and indirect profits can be obtained from effective and efficient SCM practices. Supplier selection has great impact on integration of the supply chain relationship. Effective and accurate supplier selection decisions are significant components for productions and logistics management in many firms to enhance their organizational performance. This study pioneers in using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) method to find influential factors in selecting SCM suppliers. The DEMATEL method evaluates supplier performance to find key factor criteria to improve performance and provides a novel approach of decision-making information in SCM supplier selection. This research designs a fuzzy DEMATEL questionnaire sent to seventeen professional purchasing personnel in the electronic industry. Our research results find that stable delivery of goods is the most influence and the strongest connection to other criteria.     

过程工业供应链流结构及其管理研究

与离散制造业相比，过程工业具有大批量、连续性、高能耗等特点，根据过程工业的自身特点和复杂性，本文提出了过程工业供应链的概念，分别建立了组成该复杂供应链的物质流、能量流、信息流、资金流、工件流和人件流六大流的动态结构，并以此为基础，通过分析国内外过程工业供应链管理的研究和应用现状，建立了针对复杂过程系统的综合集成的过程工业供应链管理框架。     

基于WebGIS的水文基本建设项目管理平台设计与实现

针对水文基本建设项目空间跨度大、设备占比高、行业特殊性强的特点,利用 WebGIS 和物联网等技术,开发基于 WebGIS 的水文基本建设项目管理平台。在分析设计理念的基础上,采用 B/S 模式,设计包含采集传输层、数据管理层、应用支撑层、业务服务层 4 层内容的总体架构,通过信息展示、跟踪管理、信息查询和系统管理等服务功能,实现从规划设计、项目实施、工程验收到运行管理的全生命周期智能化管理,突出水文建设项目的行业特点,满足智能化管理的要求,实现水文建设信息的实时共享。平台在工程进度实时统计分析、仪器设备全过程管理及档案资料规范化管理等应用场景上取得明显效果,可有效提升水文基本建设项目的管理效率和信息化水平。     

数据仓库的信息供应链模型

供应链管理将信息流、物流、资金流统一规划、设计和控制。数据从数据源流向数据仓库形成了数据→信息→知识的信息供应链。该文给出了数据仓库的信息供应链模型,讨论了供应链上对数据处理的工作流,并从供应链角度审视了数据仓库系统的构造工作。     

虚拟专用网技术在供应链管理中的研究

信息的安全传输和系统的可扩展性始终是供应链管理发展中的焦点问题之一，结合供应链管理对这两方面的要求，该文提出和分析了用基于虚拟专用网（VPN）技术来实现供应链管理信息系统，研究了基于IPSec r VPN技术。     

信息管理中大型数据库管理系统的应用研究

随着社会的发展,信息时代和大数据的到来,各行各业对信息管理系统性能要求越来越高。而在信息管理系统中大型数据库管理系统的应用,不仅能够提高信息管理系统的性能,而且对提升信息的利用率也具有重要的作用。下面本研究首先分析了信息管理中大型数据库管理系统的特点,然后详细分析了信息管理中大型数据库管理系统的具体应用,以供参考。     

A new forecasting scheme for evaluating long‐term prediction performances in supply chain management

Supply chain management (SCM) practitioners in inventory sites are often required to predict the future sales of products in order to meet customer demands and reduce inventory costs simultaneously. Although a variety of forecasting methods have been developed, many of them may not be used in practice for various reasons, such as insufficient viable information about sales and oversophisticated methods. In this paper, we provide a new forecasting scheme to evaluate long‐term prediction performances in SCM. Three well‐known forecasting methods for time series data—moving average (MA), autoregressive integrated MA, and smoothing spline—are considered. We also focus on two representative sales patterns, each of which is with and without a growth pattern, respectively. By applying the proposed scheme to various simulated and real datasets, this research aims to provide SCM practitioners with a general guideline for time series sales forecasting, so that they can easily understand what prediction performance measures and which forecasting method can be considered.     

Forecasting market prices in a supply chain game

Predicting the uncertain and dynamic future of market conditions on the supply chain, as reflected in prices, is an essential component of effective operational decision-making. We present and evaluate methods used by our agent, Deep Maize, to forecast market prices in the trading agent competition supply chain management game (TAC/SCM). We employ a variety of machine learning and representational techniques to exploit as many types of information as possible, integrating well-known methods in novel ways. We evaluate these techniques through controlled experiments as well as performance in both the main TAC/SCM tournament and supplementary Prediction Challenge. Our prediction methods demonstrate strong performance in controlled experiments and achieved the best overall score in the Prediction Challenge.