HRM in Israel: new challenges

This paper considers the development of HRM strategies and practices in Israel. It provides a comprehensive analysis of how Israeli firms deal with people-related issues and situations in a demanding and unique environment. Based on both an historical perspective and empirical findings, it depicts the development of HRM in Israel throughout its existence, up to its present state. The HRM function is examined in the light of the dynamics of economy, technology and the legal system. We employ examples from two different sectors (high technology and healthcare) to reflect the strategy and practice that characterize HRM in Israel. We end by portraying a projected future picture of people management in Israel

Simulation and optimization of ant colony optimization algorithm for the stochastic uncapacitated location-allocation problem

This study proposes a novel methodology towards using ant colony optimization (ACO) with stochastic demand. In particular, an optimization-simulation-optimization approach is used to solve the Stochastic uncapacitated location-allocation problem with an unknown number of facilities, and an objective of minimizing the fixed and transportation costs. ACO is modeled using discrete event simulation to capture the randomness of customers' demand, and its objective is to optimize the costs. On the other hand, the simulated ACO's parameters are also optimized to guarantee superior solutions. This approach's performance is evaluated by comparing its solutions to the ones obtained using deterministic data. The results show that simulation was able to identify better facility allocations where the deterministic solutions would have been inadequate due to the real randomness of customers' demands.PublishedN/