A stochastic disassembly line balancing problem with hazardous tasks

Göksoy Kalaycılar, Eda
In this thesis, we study a Stochastic Disassembly Line Balancing Problem (SDLBP) with hazardous tasks. We define success and failure events for each hazardous task and describe several scenarios over all hazardous tasks. Our aim is to maximize expected profit over all scenarios. We construct mathematical model with one, two and three hazardous tasks. Then, general formulation both in nonlinear and linear form is studied. We test the performance of the model on randomly generated data using the networks taken from the literature. Moreover, we study the Value of Stochastic Solution (VSS) which is the added value of considering uncertainty in a decision. The limits of the SDLBP models are observed by the increase of number of tasks in a network and by the increase in number of hazardous tasks. We propose some solution approaches and bounding procedures, and show their satisfactory performances


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We consider a partial disassembly line balancing problem with hazardous tasks whose successful completions are uncertain. When any hazardous task fails, it causes damages of the tasks on the workstation that it is performed on and all remaining tasks to be performed in the succeeding workstations. We attribute probabilities for the successful completion and failure of the hazardous tasks and aim to maximise the total expected net revenue. We formulate the problem as a two-stage stochastic mixed-integer prog...
Citation Formats
E. Göksoy Kalaycılar, “A stochastic disassembly line balancing problem with hazardous tasks,” Ph.D. - Doctoral Program, Middle East Technical University, 2020.