Document Type
Article
Publication Date
2016
DOI
10.1155/2016/6591632
Publication Title
Mathematical Problems in Engineering
Volume
2016
Issue
Article ID: 6591632
Pages
1-11
Abstract
The problem addressed in this paper is the two-machine job shop scheduling problem when the objective is to minimize the total earliness and tardiness from a common due date (CDD) for a set of jobs when their weights equal 1 (unweighted problem). This objective became very significant after the introduction of the Just in Time manufacturing approach. A procedure to determine whether the CDD is restricted or unrestricted is developed and a semirestricted CDD is defined. Algorithms are introduced to find the optimal solution when the CDD is unrestricted and semirestricted. When the CDD is restricted, which is a much harder problem, a heuristic algorithms proposed to find approximate solutions. Through computational experiments, the heuristic algorithms' performance is evaluated with problems up to 500 jobs.
Original Publication Citation
Al-Salem, M., Bedoya-Valencia, L., & Rabadi, G. (2016). Heuristic and exact algorithms for the two-machine Just in Time job shop scheduling problem. Mathematical Problems in Engineering, 11. doi: 10.1155/2016/6591632
Repository Citation
Salem, Mohammed Al; Bedoya-Valencia, Leonardo; and Rabadi, Ghaith, "Heuristic and Exact Algorithms for the Two-Machine Just in Time Job Shop Scheduling Problem" (2016). Engineering Management & Systems Engineering Faculty Publications. 6.
https://digitalcommons.odu.edu/emse_fac_pubs/6
Included in
Dynamic Systems Commons, Operations Research, Systems Engineering and Industrial Engineering Commons