A methodology for solving single-model, stochastic.

Introduction ating cycle time; these products consequently move down the line with as many of the remaining tasks The single-model, stochastic assembly line balancing being completed as possible. Incomplete tasks are problem can be stated as follows: given a ®nite set of ®nally completed o the line. This incompleted work tasks, each having a performance time distributed constitutes the.
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A methodology for solving single-model, stochastic.

Re: A methodology for solving single-model stochastic assembly line balancing problem

A methodology for solving single-model, stochastic. Abstract. Cataloged from PDF version of this paper, a methodology is developed to solve the single-model, stochastic assembly line balancing problem\ud for the objective of minimizing the total labor cost and the expected incompletion cost arising from tasks not\ud completed within the prescribed cycle time.

A methodology for solving single-model, stochastic.

Re: A methodology for solving single-model stochastic assembly line balancing problem

A bidirectional heuristic for stochastic assembly line. Sarin SC, Erel E, Dar-El EM (1999) A methodology for solving single-model, stochastic assembly line balancing problem. Omega Int J Manage Sci 27(5):525–535 Google Scholar 22.

A methodology for solving single-model, stochastic.

Re: A methodology for solving single-model stochastic assembly line balancing problem

A methodology for solving single-model, stochastic. A methodology for solving single-model, stochastic assembly line balancing problem Subhash C. Sarina,*, Erdal Erelb, Ezey M. Dar-Elc aDepartment of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA

A methodology for solving single-model, stochastic.

Re: A methodology for solving single-model stochastic assembly line balancing problem

EM ALGORITHM FOR SOLVING THE STOCHASTIC ASSEMBLY LINE. In this paper, a new methodology electromagnetism- like mechanism (EM) is used to solve the stochastic type II assembly line balancing problem.

A methodology for solving single-model, stochastic.

Re: A methodology for solving single-model stochastic assembly line balancing problem

A MULTIPLE SINGLE-PASS HEURISTIC ALGORITHM FOR THE. 19th International Conference on Production Research A MULTIPLE SINGLE-PASS HEURISTIC ALGORITHM FOR THE STOCHASTIC ASSEMBLY LINE RE-BALANCING PROBLEM

A methodology for solving single-model, stochastic.

Re: A methodology for solving single-model stochastic assembly line balancing problem

Research on the Single-Model Stochastic Assembly Line. In this paper, the optimal assembly sequence is considered as precedence graph which reduces the complexity of the problem, and an exact algorithm named task-oriented enumeration is proposed to solve the single-model stochastic assembly line balancing problems of type-1. The results show the proposed algorithm can solve the single-model stochastic assembly line balancing problems of type-1.

A methodology for solving single-model, stochastic.

Re: A methodology for solving single-model stochastic assembly line balancing problem

A methodology for solving single-model, stochastic. In this paper, we develop a heuristic enumeration method for the stochastic assembly line balancing problem. Our results are then compared with those obtained by Kottas and Lau whose method is reported as one of the effective methods for solving the problem.

A methodology for solving single-model, stochastic.

Re: A methodology for solving single-model stochastic assembly line balancing problem

A methodology for solving single-model, stochastic. Read 'A methodology for solving single-model, stochastic assembly line balancing problem, Omega' on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.

A methodology for solving single-model, stochastic.

Re: A methodology for solving single-model stochastic assembly line balancing problem

A methodology for solving single-model, stochastic. The methodology is based on determining an initial DP based solution and its improvement using a branch-and-bound procedure which uses an approximate solution instead of a lower bound for fathoming nodes. Detailed experimentation shows the superiority of this method over the most promising one from the literature.