生產(chǎn)計(jì)劃調(diào)度崗位職責(zé)(已改無錯(cuò)字)
2024-10-25 01 本頁面
【正文】 last few decades, including algorithms based on evolutionary , there is room for improvement in solving medium to large scale problems this paper, we present a Hybrid Genetic Algorithm(HGA)that includes a heuristic job ordering with a Genetic apply HGA to a number of benchmark is found that the algorithm is able to improve the solution the solution obtained by traditional genetic algorithm.《Scheduling jobs and maintenances in flexible job shop with a hybrid genetic algorithm》Most flexible job shop scheduling models assume that the machines are available all of the , in most realistic situations, machines may be unavailable due to maintenances, preschedules and so this paper, we study the flexible job shop scheduling problem with availability availability constraints are nonfixed in that the pletion time of the maintenance tasks is not fixed and has to be determined during the scheduling then propose a hybrid genetic alogorithm to solve the flexible job shop scheduling problem with nonfixed availability genetic algorithm uses an innovative representation method thrdand applies genetic operations in phenotype space in order to enhance the also define two kinds of neighbourhood for the problem based on the concept of critical local search procedure is then integrated under the framework of the genetic flexible job shop scheduling benchmark problems and fJSPnfa problems are solved in order to test the the effectiveness and efficiency of the suggested methodology.《A Hybrid genetic algorithm for nowait job shop scheduling problems》 作者：Jason ChaoHsien Pan, HanChiang HuangA nowait job shop describes a situation where every job has its own processing sequence with the constraint that no waiting time is allowed between operations within any NWJS problem with the objective of minimizing total pletion time is a NPhard problem and this paper proposes a hybrid genetic algorithm(HGA)to solve this plex genetic operation is defined by cutting out a section of genes from a chromosome and treated as a subproblem is then transformed into an asymeetric traveling salesman problem(ATSP)and solved with a heuristic , this section with new sequence is put back to replace the original section of incorporation of this problemspecific genetic operator is responsible for the hybrid doing so, the course of the search of the proposed genetic algorithm is set to more profitable regions in the solution experiemental results show that this hybrid genetic algorithm can accelerate the convergence and improve solution quality as well.第四篇：生產(chǎn)計(jì)劃調(diào)度管理制度生產(chǎn)計(jì)劃調(diào)度管理制度第一章 總 則第一條 為了規(guī)范本公司生產(chǎn)計(jì)劃、調(diào)度管理，合理組織生產(chǎn)，特制定本制度。第二條 本制度適用于本公司生產(chǎn)的計(jì)劃、調(diào)度管理全過程。第三條 本制度的責(zé)任部門為生產(chǎn)部、營銷部、供應(yīng)部、各車間、班組。責(zé)任人為生產(chǎn)副總、生產(chǎn)部負(fù)責(zé)人、調(diào)度員、巡查員。第四條 生產(chǎn)計(jì)劃調(diào)度工作由生產(chǎn)部具體負(fù)責(zé)。第二章 生產(chǎn)計(jì)劃的下達(dá)與執(zhí)行第五條 生產(chǎn)部應(yīng)每月（周）根據(jù)食品銷售公司及營銷部下達(dá)的銷售計(jì)劃制定月（周）生產(chǎn)計(jì)劃，下達(dá)生產(chǎn)調(diào)度通知下發(fā)車間執(zhí)行。生產(chǎn)部應(yīng)加強(qiáng)與供應(yīng)部、營銷部、生產(chǎn)車間等有關(guān)部門聯(lián)系，全面掌握生產(chǎn)所具備的條件。第六條 每周星期四上午10:00，由生產(chǎn)部負(fù)責(zé)組織召開由質(zhì)量技術(shù)部、供應(yīng)部、營銷部、生產(chǎn)車間等部門負(fù)責(zé)人參加的本公司生產(chǎn)調(diào)度會，傳達(dá)周生產(chǎn)計(jì)劃，協(xié)調(diào)解決
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