University of Copenhagen, and to Ian Lange and two referees for very careful comments on an earlier version. Abstract Protected areas are employed worldwide as a means of conserving biodiversity. Unfortunately, restricting access to such areas imposes opportunity costs on local people who have traditionally relied on access to obtain resources such as fuelwood and bushmeat. We use contingent va...

In this paper, an analytical approach is used for assembly line rebalancing and worker assignment for single and mixed-model assembly lines based on a heuristic-simulation algorithm. This approach helps to managers to select a better marketing strategy when different combinations of demands are suitable.Furthermore, they can use it as a guideline to know which worker assignment is better for ea...

This paper deals with the task-scheduling and worker-allocation problem, in which each skillful worker is capable to perform multiple tasks and has various regular and worker capacity to perform tasks, and the task allocation is operated with daily overhead. We propose a worker assignment model and develop a heuristic algorithm that is genetic algorithm whose performance is to be evaluated agai...

In this paper, we proposed the fuzzy multi-job and multi-company workers assignment problem with penalty. Our purpose is obtaining the optimal solution the assignment problem, where n jobs are assigned to m workers (m>n), each job must be assigned to one and only one worker and each worker could be received one job or do not receive any job. Furthermore, there are k company where each worker be...

Work flow policies are shown to induce a change in average between-workers variability (worker heterogeneity) and within-worker variability in performance times. In a laboratory experiment, the authors measured the levels of worker heterogeneity and within-worker variability under an individual performance condition, a work sharing condition, and a fixed assignment condition. The work sharing p...

In mobile crowdsourcing, mobile users accomplish outsourced human intelligence tasks. Mobile crowdsourcing requires an appropriate task assignment strategy, since different workers may have different performance in terms of acceptance rate and quality. Task assignment is challenging, since a worker’s performance (i) may fluctuate, depending on both the worker’s current context and the task cont...

Worker assignment is a new type of problem in assembly line balancing problems, which typically occurs in sheltered work centers for the disabled. However, only a few contributions consider worker assignment in a two-sided assembly line. This research presents three variants of artificial bee colony algorithm to solve worker assignment and line balancing in two-sided assembly lines. The utiliza...

Workers are the most important resource in crowdsourcing. However, only investing worker-centric needs, such as skill improvement, often conflicts with short-term platform-centric task throughput. This paper studies learning strategies assignment crowdsourcing and their impact on needs. We formalize potential of individual tasks collaborative tasks, devise an iterative completion approach that ...

The popularity of Online To Offline (O2O) service platforms has spurred the need for online task assignment in real-time spatial data, where streams of spatially distributed tasks and workers are matched in real time such that the total number of assigned pairs is maximized. Existing online task assignment models assume that each worker is either assigned a task immediately or waits for a subse...

For TREC Crowdsourcing 2011 (Stage 2) we propose a networkbased approach for assigning an indicative measure of worker trustworthiness in crowdsourced labelling tasks. Workers, the gold standard and worker/gold standard agreements are modelled as a network. For the purpose of worker trustworthiness assignment, a variant of the PageRank algorithm, named TurkRank, is used to adaptively combine ev...