Heuristic and Exact Algorithms for the Two-Machine Just in Time Job Shop Scheduling Problem
Author | Al-Salem, Mohammed |
Author | Bedoya-Valencia, Leonardo |
Author | Rabadi, Ghaith |
Available date | 2021-09-07T06:16:14Z |
Publication Date | 2016 |
Publication Name | Mathematical Problems in Engineering |
Resource | Scopus |
ISSN | 1024123X |
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 algorithm is proposed to find approximate solutions. Through computational experiments, the heuristic algorithms' performance is evaluated with problems up to 500 jobs. 2016 Mohammed Al-Salem et al. |
Language | en |
Publisher | Hindawi Limited |
Subject | Heuristic algorithms Just in time production Optimization Scheduling Approximate solution Common due date Computational experiment Earliness and tardiness Exact algorithms Job shop scheduling problems Just-in-time manufacturing Optimal solutions Job shop scheduling |
Type | Article |
Volume Number | 2016 |
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Mechanical & Industrial Engineering [1396 items ]