Multi-skilling provides an organization with the ability to arrange its workers to meet the
certain needs for several skills. This paper reviews the literature on scheduling problems …

Abstract Historically, Operations Research (OR) discipline has mainly been focusing on
economic concerns. Since the early 2000s, human considerations are gaining increasing …

Empirical risk minimization (ERM) is a crucial framework that offers a general approach to
handling a broad range of machine learning tasks. In this paper, we propose a novel …

Due to the computational complexity, the staff scheduling problem is generally decomposed
into two subproblems, ie staff rostering and task assignment problems. Very often, this could …

Scheduling the availability of order pickers is crucial for effective operations in a distribution
facility with manual order pickers. When order-picking activities can only be performed in …

In this paper, we describe an algorithm for the personalized nurse scheduling problem. We
focus on the deterministic counterpart of the specific problem that has been described in the …

Existing works usually focus on the single-product disassembly line balancing problem
(DLBP). In practice, end-of-life (EOL) products to be disassembled may be heterogeneous …

In many situations, employees' performance decrements have generally been attributed to
fatigue, and a flexibly designed work-break schedule can reduce their fatigue effect. This …

A mixed integer linear programming model is presented for personnel planning of ground
handling crews at Santiago International Airport in Chile. The model generates employee …

Abstract Historically, Operations Research (OR) discipline has mainly been focusing on
economic concerns. Since the early 2000s, human considerations are gaining increasing …