Simple assembly line balancing problem

Q: How deeply does Optimization Algorithms: AI techniques for design, planning, and control problems cover simple assembly line balancing problem?

Defines tasks, durations, cycle time, stations, and precedence, then demonstrates tabu-search implementation and benchmarking.

As explained in Optimization Algorithms: AI techniques for design, planning, and control problems

A simple assembly line balancing problem concerns producing one product on a serial line with one-sided workstations.

A simple assembly line balancing problem (SALBP) assigns tasks to one-sided workstations on a serial line producing one product. Given task times, precedence constraints, cycle time, and a workstation limit, the usual goal is minimizing the required workstations. section 6.6

A feasible assignment must:

Assign every task to exactly one workstation. section 6.6
Respect the precedence order between tasks. section 6.6
Keep each workstation’s workload within cycle time C. section 6.6

Tabu-search solution

A tabu-search implementation loads task durations and precedence data, sets cycle time to 4, and searches for an improved assignment. One reported sequence uses five workstations with workloads [3, 3, 3, 3, 3].

How Optimization Algorithms: AI techniques for design, planning, and control problems covers it

Cover of Optimization Algorithms: AI techniques for design, planning, and control problems

liveBook manning.com

Read Optimization Algorithms: AI techniques for design, planning, and control problems on liveBook Get the book at manning.com

Related concepts

assembly line balancing problemkind of · An assembly line balancing problem assigns production tasks to workstations while satisfying constraints and optimizing measures such as station count, cycle time, or idle time.
problemkind of · A problem is a difficulty, obstacle, or undesirable condition requiring investigation, mitigation, or resolution.

This explainer was generated by Manning's knowledge graph from the text of Optimization Algorithms: AI techniques for design, planning, and control problems. The section links point to the parts of the book it draws on.