Journal ArticleDOI
Scheduling of an assembly job shop: A case study based on hydraulic manufacturing industry
TLDR
A case study for an assembly job shop encountered in a hydraulic components manufacturing industry confirms that other dispatching rules other than the existing rule gives better performance.About:
This article is published in Materials Today: Proceedings.The article was published on 2021-05-14. It has received 1 citations till now. The article focuses on the topics: Job shop & Scheduling (production processes).read more
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Heuristic scheduling systems
TL;DR: In this paper, the authors present a heuristic scheduling system for heuristics in the context of the ORS system, which is based on the concept of heuristic heuristic.
Book
Principles of Sequencing and Scheduling
Kenneth R. Baker,Dan Trietsch +1 more
TL;DR: The authors begin with an introduction and overview of sequencing and scheduling, including single-machine sequencing, optimization and heuristic solution methods, and models with earliness and tardiness penalties, then present and integrated with deterministic models.
Journal ArticleDOI
Mathematical model and genetic optimization for the job shop scheduling problem in a mixed- and multi-product assembly environment: a case study based on the apparel industry
TL;DR: A universal mathematical model of the JSS problem for apparel assembly process is constructed to minimize the total penalties of earliness and tardiness by deciding when to start each order's production and how to assign the operations to machines (operators).
Journal ArticleDOI
Integrating order review/release and dispatching rules for assembly job shop scheduling using a simulation approach
TL;DR: In this paper, the authors deal with an assembly job shop scheduling problem considering two phases of control: order review/release (ORR) and dispatching rules and evaluate the ability of different combinations of ORR-dispatching rules in optimising due date and flow time related performance.
Journal ArticleDOI
The development of genetic algorithms for the finite capacity scheduling of complex products, with multiple levels of product structure
TL;DR: The development of a genetic algorithms based scheduling tool that takes into account multiple resource constraints and multiple levels of product structure is described and it is demonstrated that the schedules produced perform significantly better than those produced by the company using a conventional planning method.