...Lei Li; Desheng Wu Purpose The infraction of securities regulations (ISRs) of listed firms in their day-to-day operations and management has become one of common problems. This paper proposed several machine learning approaches to forecast the risk at infractions of listed corporates to solve...

...Sonali Shankar; Sushil Punia; P. Vigneswara Ilavarasan Purpose Container throughput forecasting plays a pivotal role in strategic, tactical and operational level decision-making. The determination and analysis of the influencing factors of container throughput are observed to enhance...

...Sonali Shankar; P. Vigneswara Ilavarasan; Sushil Punia; Surya Prakash Singh Purpose Better forecasting always leads to better management and planning of the operations. The container throughput data are complex and often have multiple seasonality. This makes it difficult to forecast accurately...

...Felix T.S. Chan; Avinash Samvedi; S.H. Chung Purpose – The purpose of this paper is to test the effectiveness of fuzzy time series (FTS) forecasting system in a supply chain experiencing disruptions and also to examine the changes in performance as the authors move across different tiers...

... benefits of such integration in the area of business forecasting. Describes the forecasting process and identifies its main functional elements. Some of these elements provide the requirements for an intelligent forecasting support system. Describes the architecture and the implementation of such a system...

...Gene Fliedner This paper examines collaborative planning, forecasting, and replenishment (CPFR), a Web‐based tool to coordinate the various supply chain management activities including production and purchase planning, demand forecasting, and inventory replenishment between supply chain trading...

...Gene Fliedner In order to provide the appropriate demand forecast information given various managerial levels and functional disciplines within organizations, reliance on family‐based forecasting is increasing. The family‐based approach, sometimes referred to as hierarchical forecasting (HF...

...Milam Aiken Forecasting inflation is a major concern for economists and businessmen. Most researchers have relied upon statistical techniques with their stringent data assumptions and low accuracy rates to predict changes in inflation, but only a few have investigated how neural networks can...

...Robert A. Fleck; Jr Programmer resources as measured in available hours are often a limiting or constraining resource in software projects and maintenance. A key element in software project management, therefore, is the forecast of required programming hours. Estimates based on past experience...

... state to which they belong rather than international developments. Posits that most surprising of all, they do not see IT as a major driver for change! © MCB UP Limited 1996 Forecasting Industry Macroenvironment Open learning Scenario planning Short‐termism As we approach...

...Nada R. Sanders The usage of formal statistical forecasting procedures has been shown in numerous studies to improve forecast accuracy and,consequently, organizational performance. However, the process of implementing and managing this technology can run into many stumbling blocks. Identifies six...

..., in general,have not yet integrated technology awareness and forecasting with management training. Deals with the necessity of exposing future managers to the four areas of technology planning and forecasting,technology project management, the impact of technologies on the social system, as well as the impact...

...D.T. Brownlie The successful placing of long‐range technology planning decisions in the context of overall corporate strategic planning requires a mechanism for synthesizing R&D strategy and business strategy. This article argues that formalized technology forecasting has an important...

...Bin‐Shan Lin; Jerome M. Hatcher Forecasting is considered as a key element in formulating manufacturing systems. There is a wealth of information about forecasting methods but little has been written about forecasting systems. An outline of an approach to build Decision Support Systems(DSS...