本論文針對多階段平行機之流程型(Flow-shop with parallel machines)工廠之排程問題加以探討,並考慮各工作有不同重要性給予不同權重,以最小化所有工件加權完工時間為目標(Total weighted completion time),在此生產型態中,每一製程階段有多台等效平行機,工件依序經由每一製程階段中任意一台機器加工即可。由於此類排程問題為一NP-Hard,因此發展塔布演算法,以縮短求解時間,但無法應用整數規劃求得整體之最佳解,因此分別針對各製程階段皆同一加工順序,及只決定第一製程階段之加工順序,第二製程階段以後皆採先到先加工之機制兩種不同的條件限制下發展分支界限演算法求取一最佳加工順序,作為衡量塔布演算法求解品質之指標。
The problem of scheduling in multi-stage flow-shop with parallel machines with the objective of minimizing the total weighted completion of jobs. In this manufacturing system each part must be processed by at most one machine in each stage. Since the flow-shop scheduling problem is NP-Hard, a Tabu algorithm is proposed, and developed an branch and bound algorithm to validate the performance of the tabu algorithm.