In this paper, we studied the assembly line worker assignment and balancing problem, which is an extension of the classical assembly line balancing problem in which an optimal partition of the assembly work among the stations is sought along with the assignment of the operators to the stations. The relationship between this problem and several other well-studied problems is explored, and new lo...

We present a new mechanism to introduce diversity into two multiobjective approaches based on ant colony optimisation and randomised greedy algorithms to solve a more realistic extension of a classical industrial problem: time and space assembly line balancing. Promising results are shown after applying the designed constructive metaheuristics to ten real-like problem instances.

This paper presents a technique for comparing the results of different assembly line balancing strategies by using Data Envelopment Analysis (DEA). Initially, several heuristics— which can be thought of as assembly line balancing strategies—were used to solve seven line-balancing problems. The resulting line balance solutions provided two pieces of information that were of particular interest: ...

Use of interpretative structural modeling (ISM) is inspired by the versatility displayed by this method, as reported by researchers, across a wide spectrum of economic and competitive complexities affecting businesses. The aim of this paper is to develop and analyze the relationship among the identified various functional /technical objectives (criteria's) of assembly line balancing proble...

Assembly line balancing is the problem of assigning tasks to workstations by optimizing a performance measure while satisfying precedence relations between tasks and cycle time restrictions. Many exact, heuristic and metaheuristic approaches have been proposed for solving simple straight and U-shaped assembly line balancing problems. In this study, a quite new optimization algorithm, Bacterial ...

Time and space assembly line balancing considers realistic multi-objective versions of the classical assembly line balancing industrial problems. It involves the joint optimisation of conflicting criteria such as the cycle time, the number of stations, and/or the area of these stations. The different problems included in this area also inherit the precedence constraints and the cycle time limit...

A new hybrid tabu search (HTS) method for solving assembly line balancing problems is proposed in this paper. The tabu search (TS) method is combined with the genetic algorithm (GA) to identify and provide solutions for assembly line balancing problems. With the proposed HTS method, the TS method can well address the number of tasks assigned for each workstation, while the GA can also assign th...