Push and pull production systems: issues and comparisons
Operations Research
Proceedings of the 33nd conference on Winter simulation
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem
Applied Soft Computing
An artificial bee colony approach for clustering
Expert Systems with Applications: An International Journal
Solving reliability redundancy allocation problems using an artificial bee colony algorithm
Computers and Operations Research
A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem
Information Sciences: an International Journal
Supply Chain Management Based on SAP Systems: Order Management in Manufacturing Companies
Supply Chain Management Based on SAP Systems: Order Management in Manufacturing Companies
Journal of Intelligent Manufacturing
An integrated framework for card-based production control systems
Journal of Intelligent Manufacturing
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In this paper, a multi-product multi-machine serial production line operated under a constant-work-in-process protocol is considered. A mathematical model for the system is first presented, and then an artificial bee colony optimization algorithm is applied to simultaneously find the optimal work-in-process inventory level as well as job sequence order in order to minimize the overall makespan time. Unlike many existing approaches, which are based on deterministic search algorithms such as nonlinear programming and mixed integer programming, the proposed method does not use a linearized or simplified model of the system. A production line simulator implemented on MATLAB is, instead, employed to model the highly nonlinear dynamics of the production line and is used to evaluate the candidate solutions. The efficiency of the proposed approach, even for systems of large sizes, is validated via numerical simulations.