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, 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...

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, 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...

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...

This paper addresses a multi-objective mixed-model two-sided assembly line balancing and worker assignment with bottleneck analysis when the task times are dependent on the worker’s skill. This problem is known as NP-hard class, thus, a hybrid cyclic-hierarchical algorithm is presented for solving it. The algorithm is based on Particle Swarm Optimization (PSO) and Theory of Constraints (TOC) an...

This paper presents a multi-objective Particle Swarm Optimization (PSO) algorithm for worker assignment and mixed-model assembly line balancing problem when task times depend on the worker’s skill level. The objectives of this model are minimization of the number of stations (equivalent to the maximization of the weighted line efficiency), minimization of the weighted smoothness index and minim...

The mixed work assignment technique was applied to the modular production concept solve apparel assembly line balancing problem. Specifically, an algorithm implemented generate workstations by first classifying tasks into modules through analysis of manufacturing process and assigning grouped in single task–multiple workers multiple tasks–single worker methods. Then, sequentially performed cons...

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...