In: Operations Management
Sergio Marquina is an expert of automated production lines. However, in order to promote his status to “the professor” he needs to also become an expert of line balancing in manual assembly lines. He already knows the three types of line balancing algorithms as Largest Candidate Rule, Kilbridge and Wester Method and Ranked Positional Weights. In his attempt to become “the professor”, he has to present the following discussion points to the committee of referees. Present your answers with an organized, detailed and clear way.
The Largest Candidate Rule (LCR) accounts for work elements to be arranged in a descending order (with reference to the station time and work elements) to each station value which is not exceeding the allowable preceded.
Are used in high-production situations where the work to be performed can be divided into small tasks and tasks assigned to the workstations on the line. Key advantage of using manual assembly line is specialization of labor –By giving each worker a limited set of tasks to do repeatedly.
The Largest Candidate, Kilbridge and Wester and Ranked PositionalWeights (RPW) are different heuristic methods commonly utilized to arrange anddistribute the description element time along the workstations in the system. Each ofthose methods could be results in a different type of workstations layout . This study involved applying the first heuristic algorithms to study the Dantee process planning gaining a reduced production time.largest Candidate Rule (LCR),balancing method is selected for Dantee Assembly Line balancing.
Consist of multiple workstations in which the assembly work is accomplished as the product (subassembly) is passed from station to station along the line. At each workstation one or more human workers perform a portion of the total assembly work on the product, by adding one or more components to the existing subassembly.
The case of a single work element’s value is greater than value
LCR considers the cycle time and precedence relationship in line designing. In this method, the work elements
are assigned to workstations based on size of elements time, Te (work elements time)value.
In mixed model line balancing systems, taking AT (available time) as the maximum station time
The assumptions of the proposed model are as follows.(1)Each assembly task must be assigned to at least one station (alternative assignments are allowed).(2)There are parallel machines in some stations.(3)Total space required for the tasks assigned to each station must not exceed the station’s finitework space available.(4)Each product must be routed to the stations subject to precedence relations defined by its assembly plan.(5)Revisiting of stations is not allowed.(6)Each station can perform at most one task at any given time.(7)Transfer times between stations are not negligible.