.... Afterwards, two popularly used forecasting tools, artificial neural network (ANN) and auto-regressive integrated moving average (ARIMA), are used to estimate the requirement of beds for a period when infection data became available. Findings The results from the study reflect that aggressive testing...

...-echelon supply chain composed of one supplier DC, one retailer DC and multiple retailer stores. The inventory at each echelon is controlled according to an order-up-to (OUT) level policy. The demand is forecasted by means of a single exponential smoothing method. A sensitivity analysis is also conducted...

...Joakim Andersson; Patrik Jonsson This section defines key concepts related to the context of aftermarket demand planning, causal-based forecasting methods and product-in-use data. Also embedded is a review of selected, relevant research. Finally, research questions are generated...

... practices and technology are the overarching trends shaping the future of the energy efficiency and CO₂ emissions of road freight transport. The expert forecasts for Finland and Sweden highlight that reaching the carbon emission target of 30 per cent reduction for the year 2030 is possible...

... chains, retail store replenishment management faces challenges. In particular, demand exceptions management is a challenge in the grocery industry. A replenishment model called Collaborative Buyer-Managed Forecasting (CBMF) creates a proactive planning approach and a platform for close collaboration...

...Michael Krapp; Johannes Nebel; Ramin Sahamie Purpose The purpose of this paper is to provide a generic forecasting approach for predicting product returns in closed‐loop supply chains. Design/methodology/approach The approach is based on Bayesian estimation techniques. It permits to forecast...

... on‐shelf‐availability presents retailers and manufacturers with a complex set of inter‐connected problems distributed across the supply chain. This research identified 32 causes affecting on‐shelf‐availability, grouped into eight themes, six of which are generic (forecasting, collaboration, replenishment...

...Mikihisa Nakano Purpose The purpose of this paper is to empirically examine the impact of internal and external collaborative forecasting and planning on logistics and production performance. Design/methodology/approach To measure the degree of collaborative forecasting and planning...

...Patrik Jonsson; Mattias Gustavsson Purpose The purpose of this paper is to explain the effects of the customer‐supplier relationship and of automatic forecast data communication and registration on the perceived information quality of forecasts. Design/methodology/approach A conceptual model...

...Tage Skjoett‐Larsen; Christian Thernøe; Claus Andresen Presents a theoretical framework for analysing interorganizational collaboration. Argues that Collaborative Planning, Forecasting and Replenishment (CPFR) should be viewed as a general approach to coordination of processes between participants...

...Teresa M. McCarthy; Susan L. Golicic Sales forecasting and collaboration are two business phenomena that have independently been recognized as contributing to improved organizational performance. The present research employs case study methodology to explore the synergies to be gained from...

..., the data were then subdivided by industry type and region and similar experiments were performed, again using freight density data provided by JBHT. Many of the industrial and regional models produce good results. A summary of all model results is located in Table III . Forecasting Freight transport...

... decision making remain significant barriers to the goal of supply chain integration. Collaborative planning, forecasting and replenishment (CPFR) is a strategy which promises to overcome these barriers, and seeks through joint planning, joint decision making and the development of a clearer understanding...

...Alan C. McKinnon The volume of road freight movement in the UK has more than doubled over the past 25 years and its present growth is considerably exceeding official forecasts made in 1984. An attempt is made to explain why this growth has occurred, taking account of the close relationship between...