In intelligent manufacturing systems, the industrial informatics has features of multi-source,
multi-noise, and time series. It is difficult for small and medium enterprises (SMEs) to directly …

The goal of this paper is to describe, model, and optimize inventory in a reverse logistics
system that supports the warranty returns and replacements for a consumer electronic …

This paper explores the single-item newsvendor problem under a novel setting which
combines temporal dependence and tractable robust optimization. First, the demand is …

Despite the long-recognised importance of data-driven operations and supply chain
management (OSCM) scholarship and practice, and the impressive development of big data …

We study a single product pricing problem with demand censoring in an offline data-driven
setting. In this problem, a retailer has a finite amount of inventory and faces a random …

Armed with a number of modern and emerging visibility technologies and facing increased
competition from the internet channel, retail managers are seeking ever deeper visibility into …

The single-product, single-period newsvendor problem with two decision variables, namely
price and stock quantity, is considered. The performance measure, in addition to the …

The mission of the Institute of Industrial and Systems Engineers (IISE) is to serve those who
solve complex and critical problems of the world. Notably, the research–practice gap in …

Operations managers do not typically have full information about the demand distribution.
Recognizing this, data-driven approaches have been proposed in which the manager has …

We consider a periodic-review dual-sourcing inventory system, in which the expedited
supplier is faster and more costly, while the regular supplier is slower and cheaper. Under …