In practice, vagueness and impreciseness of the goals in multi-objective mixed model assembly line make the decisionmaking a complex task. To limit the influences of the decision makers’ incomplete knowledge about the problem and help them to concentrate better on evaluating a conceived solution, a novel interactive fuzzy goal programming (IFGP) algorithm is proposed. The algorithm controls the...

In this paper, a goal programming model for the simple U-line balancing (ULB) problem is developed. The model is based on the integer programming formulation developed by Urban [Urban, Note: Optimal balancing of U-shaped assembly lines, Management Science 44(5) (1998) 738–741] for the ULB problem and the goal model of Deckro and Rangachari [Deckro, Rangachari, A goal approach to assembly line b...

Printed circuit boards (PCBs) are extensively used in diverse electronic products today. The placement process is generally the bottleneck in a PCB assembly line. Many researchers have indicated that an optimal component placement sequence reduces the cycle time of an assembly line with single placement machines. However, in current PCB assembly lines, more than one placement machine, including...

This article focuses on the Mixed-Model Assembly Line Balancing single-target problem of type 2 with single-sided linear assembly line configurations, which is common in industrial environment small and medium-sized enterprises (SMEs). The main objective to achieve Algorithmic Transparency (AT) when using Genetic Algorithms for resolution balancing operation times. done by means a new matrix me...

Assembly line balancing is a classic ill-structured problem where total enumeration is infeasible and optimal solutions uncertain for industrial problems. A quantitative approach to classifying problem difficulty and solution quality is therefore important. Two existing measures of difficulty, Order Strength and West Ratio are compared to a new compound expression of difficulty, Project Index. ...