... among the authors and their peers. The authors focus on three areas deemed fundamental to supply chain resilience: (1) forecasting, the starting point of supply chain planning, (2) the practices of supply chain risk management and (3) product design, the starting point of supply chain design...

..., balancing forecasted demand and available supply (Wallace, 2004). More recent studies highlight the coordinating role of S&OP in the supply chain. It has become a synchronisation mechanism that matches forecasted demand with supply chain capabilities (Feng et al., 2008). As such, it goes beyond...

... management aims were found: inventory management, forecasting and production strategy. Within the method three decisions are identified to come to a classification: the characteristics, the classification technique and the operationalisation of the classes. Research limitations/implications Drawing...

...Pamela Danese Purpose To comprehend the rationale behind managerial choices that lead companies to implement different types of collaborative planning, forecasting and replenishment (CPFR) collaborations. Design/methodology/approach Seven case studies of supply networks whose central firms...

...Krisztina Demeter; Helena Forslund; Patrik Jonsson Purpose This paper aims to describe the extent of supplier access to customer forecast information and the perceived quality of such information and also to explain the impact of forecast information access and forecast information quality (FIQ...

...Nada R. Sanders; Larry P. Ritzman Accurate forecasting has become a challenge for companies operating in today's business environment, characterized by high uncertainty and short response times. Rapid technological innovations and e‐commerce have created an environment where historical data...

...John G. Wacker; Rhonda R. Lummus The purpose of this article is twofold. First, the article examines how managers can make more effective use of sales forecasts for strategic resource allocation decisions. Second, the article identifies those research issues in forecasting that must be addressed...

...Jay Nathan; Ray Venkataraman This paper examines the impact of forecast window intervals on replanning frequencies for a rolling horizon master production schedule (MPS). The problem environment for this study is an actual MPS operation of a paint company and includes features such as multiple...

...G. Bellandi; R. Dulmin; V. Mininno In order to obtain a correct failure diagnosis and to prepare more effective maintenance programmes, it is essential to have reliable forecasts about the trend of equipment and machinery failure rate. In this work attention is focused on the transport sector...

...Gillian Rice Focuses on the implementation of forecasting systems and processes by large organizations. Reports the results of a survey of US firms which reveal that, despite advances in computer technology, judgemental forecasting continues to be the method managers prefer. Notes, however...

... and communications, and manpower/service management. The TSC project realizes the plans set up under the manpower/service management framework. © MCB UP Limited 1994 Artificial intelligence Forecasting Human resource planning Information technology Operations management R&D Resources...

.... The emphasis is made on forecasting, product design, facilities layout and automation, work measurement, inventory management, and quality control. Based on this analysis, presents some recommendations for improving operations management in the former Soviet Union. One of these is a great concentration...

...T.S. Lee; Steven J. Feller; Everett E. Adam, Jr Applies time‐series forecasting, a traditional operations analysis methodology, to develop a forecasting procedure and ordering policy for a natural‐gas customer of Columbia Gas of Ohio, USA. Evaluates six time‐series methods and four operating...

...Robert Fildes; Charles Beard Quantitative forecasting techniques see their greatest application as part of production and inventory systems. Perhaps unfortunately, the problem has been left to systems analysts while the professional societies have contented themselves with exhortations to improve...

...Nada R. Sanders; Larry P. Ritzman The conditions under which forecasts from expert judgement outperform traditional quantitative methods are investigated. It is shown that judgement is better than quantitative techniques at estimating the magnitude, onset, and duration of temporary change...

...Luh‐Yu Ren The moving median method is suggested as an alternative for short‐term forecasting under some of the standard normal; Student t with degrees of freedom 1, 2 and 3; Cauchy; Chi‐square with degrees of freedom 1 and 2; exponential; and standard normal with outliers. When the Mean...

...Essam Mahmoud; C. Carl Pegels A method is developed for evaluating forecasting models with respect to both error and complexity in forecasting. Several types of forecasting accuracy measures (MSE, MPE, MAPE, Theil′s U‐Statistic and a loss cost function) are examined and the approach is illustrated...

...Peter W. Stonebraker; Pricha Pantumsinchai The effects of trading day adjustment techniques to improve forecasting accuracy are investigated. The results of forecasting from directly generated monthly data are compared with those of transformed(trading day adjusted) data. Conclusions are offered...

...D.H.R. Price; J.A. Sharp A simulation study of the importance of the choice of demand forecasting method in the aggregate capacity planning of the UK electricity supply industry is reported. Using a financial performance measure rather than the conventional measures of accuracy, some...