分權(quán)模式下基于招投標.doc
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分權(quán)模式下基于招投標,摘要生產(chǎn)計劃與控制主要用來解決企業(yè)在管理物料流動和產(chǎn)品流動以及生產(chǎn)能力利用中所出現(xiàn)的問題，是企業(yè)管理的重要職能，它統(tǒng)一指導企業(yè)的各項生產(chǎn)經(jīng)營活動。傳統(tǒng)的生產(chǎn)計劃與控制具有提前期等參數(shù)的預先靜態(tài)設(shè)定、能力約束考慮不足、生產(chǎn)計劃與控制相分離、底層功能較弱等問題。隨著市場需求偏向于高質(zhì)量、低成本和短生命周期的定制化產(chǎn)品，傳統(tǒng)...
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摘要
生產(chǎn)計劃與控制主要用來解決企業(yè)在管理物料流動和產(chǎn)品流動以及生產(chǎn)能力利用中所出現(xiàn)的問題，是企業(yè)管理的重要職能，它統(tǒng)一指導企業(yè)的各項生產(chǎn)經(jīng)營活動。傳統(tǒng)的生產(chǎn)計劃與控制具有提前期等參數(shù)的預先靜態(tài)設(shè)定、能力約束考慮不足、生產(chǎn)計劃與控制相分離、底層功能較弱等問題。隨著市場需求偏向于高質(zhì)量、低成本和短生命周期的定制化產(chǎn)品，傳統(tǒng)的集權(quán)式的生產(chǎn)計劃與控制已不能滿足市場對產(chǎn)品的要求?？茖W地制定一種新的生產(chǎn)計劃與控制模式，對于降低產(chǎn)品的生產(chǎn)成本，提高產(chǎn)品交貨期滿足率，縮短產(chǎn)品供貨周期和提高企業(yè)生產(chǎn)率起著至關(guān)重要的作用。
在對生產(chǎn)計劃與控制做出了概述并指出生產(chǎn)計劃與控制在現(xiàn)代制造系統(tǒng)中的重要地位的基礎(chǔ)上，本論文研究了模擬市場中招投標行為的生產(chǎn)計劃與控制分權(quán)化問題。提出分權(quán)模式下基于招投標的生產(chǎn)計劃與控制模型，指出了其優(yōu)勢、討論了其特點及實施步驟。
提出了基于招投標的生產(chǎn)計劃與控制分權(quán)化模型后，本論文重點研究了基于招投標的生產(chǎn)計劃與控制的四個關(guān)鍵問題——多代理系統(tǒng)功能的實現(xiàn)、招投標運行機制中評標函數(shù)的構(gòu)建、任務(wù)計劃分權(quán)化實現(xiàn)算法的提出以及嵌入、分權(quán)模式下廠部對車間控制問題的研究。建立了分布式多代理系統(tǒng)，設(shè)置了系統(tǒng)中各代理的權(quán)限；提出了分權(quán)模式下考慮任務(wù)加工時間、交付期、加工成本、加工精度四個指標的模糊評標模型，并提出了基于集合覆蓋的任務(wù)計劃分權(quán)化啟發(fā)式搜索算法。
最后論文以天津探礦機械譆@砸隕涎芯拷辛聳抵し治?。详细给畴h朔植際蕉啻硐低持謝謖型侗甑娜撾竇蘋秩ɑ貧ǖ腦誦脅街瑁⒔浣峁氪車娜撾竇蘋貧ń峁辛碩員齲な盜松蘋肟刂迫ǖ南路?，栽rＶげ分柿康那疤嵯攏梢運醵談鞲鋈撾竦募庸ぶ芷?，进而訃I鏨低常傭竦媒諾娜撾竇蘋暗鞫齲Ｖこ殺鏡淖钚』約凹蘋蔥械穆嘲糶浴�
關(guān)鍵詞：生產(chǎn)計劃與控制；招投標；多代理系統(tǒng)；模糊決策模型
Abstract
The production planning and control is the important function of business management, which is used for solving problems in the management of material flowing and the product flowing and use for guiding every enterprise's production and operating activities. The traditional production planning and control exists some problems, such as a static set of the parameter –due date in advance ;the deviation of production planning and control phases; lack of considering capacity fully; weak in low level and so on. With the developing of market, the demand for customized products with high quality, low cost and short life cycle is increasing, traditional production planning and control can’t satisfy the market’s request for products. So making production planning and control scientific plays an vital role in reducing production costs, shortening the sum of earliness and tardiness penalties, decreasing make-span time,improving the productivity of manufacturing firm.
This paper generalized the concept of production planning and control, which occupies an important position in modern manufacturing system. The paper studied in the decentralization of production planning and control issue by simulating the bidding behavior in market. The paper proposed a bidding-based decentralized production planning and control model,pointed out its superiority,discussed its characteristic and the implementation step.
The paper focused on four key issues of the bidding-based production planning and control -- the realization of multi-agent system functions, the construction of bidding eva luation functions, the proposing and embedding task allocation algorithm, the control issue under the decentralization. We constructed a distributed multi-agent system, set the permission of each agent, proposed a fuzzy eva luation model dealing with make-span,finish date,processing cost,processing precision of tasks ,while proposed a set covering-based task team allocating heuristic search algorithm.
Last but not least important, the paper employed Tianjin Exploratory Machinery Company to witness the effectiveness of task planning steps of this distributed multi-agent system, compared this result with that of traditional task allocating mechanism, and proved that the bidding-based decentralized production planning and control can reduce the conflicts of capacity in production system, shorten the make-span time of each product ,which can optimize the entire production system and obtain the near optimal task planning and scheduling, then guarantee profit maximization as well as robustness of plan execution.
Keywords: Production Planning and Control; Bidding; Multi-agent System; Fuzzy eva luation Model
目錄
摘要 I
Abstract II
目錄 I
Contents III
第1章 緒論 1
1.1選題背景及研究意義 1
1.1.1生產(chǎn)計劃與控制的概述 1
1.1.2生產(chǎn)計劃與控制中存在的問題 2
1.2 研究綜述 3
1.2.1 生產(chǎn)計劃與控制研究綜述 3
1.2.2 多代理系統(tǒng)在計劃與控制應用中的研究綜述 4
1.2.3 招投標在計劃與控制中的研究綜述 4
1.3 研究內(nèi)容、技術(shù)路線及論文結(jié)構(gòu) 5
1.3.1 研究內(nèi)容 5
1.3.2 技術(shù)路線 6
1.3.3 論文結(jié)構(gòu) 6
1.4 創(chuàng)新點 7
1.5 本章小結(jié) 7
第2章 分權(quán)式生產(chǎn)計劃與控制問題的理論基礎(chǔ) 9
2.1 組織結(jié)構(gòu)的分權(quán)化 9
2.1.1 組織結(jié)構(gòu)的進化趨勢 9
2.1.2 網(wǎng)絡(luò)組織的概念 10
2.1.3 網(wǎng)絡(luò)組織結(jié)構(gòu) 10
2.2 Agent及Agent系統(tǒng) 12
2.2.1 Agent的概述 12
2.2.2..
生產(chǎn)計劃與控制主要用來解決企業(yè)在管理物料流動和產(chǎn)品流動以及生產(chǎn)能力利用中所出現(xiàn)的問題，是企業(yè)管理的重要職能，它統(tǒng)一指導企業(yè)的各項生產(chǎn)經(jīng)營活動。傳統(tǒng)的生產(chǎn)計劃與控制具有提前期等參數(shù)的預先靜態(tài)設(shè)定、能力約束考慮不足、生產(chǎn)計劃與控制相分離、底層功能較弱等問題。隨著市場需求偏向于高質(zhì)量、低成本和短生命周期的定制化產(chǎn)品，傳統(tǒng)的集權(quán)式的生產(chǎn)計劃與控制已不能滿足市場對產(chǎn)品的要求?？茖W地制定一種新的生產(chǎn)計劃與控制模式，對于降低產(chǎn)品的生產(chǎn)成本，提高產(chǎn)品交貨期滿足率，縮短產(chǎn)品供貨周期和提高企業(yè)生產(chǎn)率起著至關(guān)重要的作用。
在對生產(chǎn)計劃與控制做出了概述并指出生產(chǎn)計劃與控制在現(xiàn)代制造系統(tǒng)中的重要地位的基礎(chǔ)上，本論文研究了模擬市場中招投標行為的生產(chǎn)計劃與控制分權(quán)化問題。提出分權(quán)模式下基于招投標的生產(chǎn)計劃與控制模型，指出了其優(yōu)勢、討論了其特點及實施步驟。
提出了基于招投標的生產(chǎn)計劃與控制分權(quán)化模型后，本論文重點研究了基于招投標的生產(chǎn)計劃與控制的四個關(guān)鍵問題——多代理系統(tǒng)功能的實現(xiàn)、招投標運行機制中評標函數(shù)的構(gòu)建、任務(wù)計劃分權(quán)化實現(xiàn)算法的提出以及嵌入、分權(quán)模式下廠部對車間控制問題的研究。建立了分布式多代理系統(tǒng)，設(shè)置了系統(tǒng)中各代理的權(quán)限；提出了分權(quán)模式下考慮任務(wù)加工時間、交付期、加工成本、加工精度四個指標的模糊評標模型，并提出了基于集合覆蓋的任務(wù)計劃分權(quán)化啟發(fā)式搜索算法。
最后論文以天津探礦機械譆@砸隕涎芯拷辛聳抵し治?。详细给畴h朔植際蕉啻硐低持謝謖型侗甑娜撾竇蘋秩ɑ貧ǖ腦誦脅街瑁⒔浣峁氪車娜撾竇蘋貧ń峁辛碩員齲な盜松蘋肟刂迫ǖ南路?，栽rＶげ分柿康那疤嵯攏梢運醵談鞲鋈撾竦募庸ぶ芷?，进而訃I鏨低常傭竦媒諾娜撾竇蘋暗鞫齲Ｖこ殺鏡淖钚』約凹蘋蔥械穆嘲糶浴�
關(guān)鍵詞：生產(chǎn)計劃與控制；招投標；多代理系統(tǒng)；模糊決策模型
Abstract
The production planning and control is the important function of business management, which is used for solving problems in the management of material flowing and the product flowing and use for guiding every enterprise's production and operating activities. The traditional production planning and control exists some problems, such as a static set of the parameter –due date in advance ;the deviation of production planning and control phases; lack of considering capacity fully; weak in low level and so on. With the developing of market, the demand for customized products with high quality, low cost and short life cycle is increasing, traditional production planning and control can’t satisfy the market’s request for products. So making production planning and control scientific plays an vital role in reducing production costs, shortening the sum of earliness and tardiness penalties, decreasing make-span time,improving the productivity of manufacturing firm.
This paper generalized the concept of production planning and control, which occupies an important position in modern manufacturing system. The paper studied in the decentralization of production planning and control issue by simulating the bidding behavior in market. The paper proposed a bidding-based decentralized production planning and control model,pointed out its superiority,discussed its characteristic and the implementation step.
The paper focused on four key issues of the bidding-based production planning and control -- the realization of multi-agent system functions, the construction of bidding eva luation functions, the proposing and embedding task allocation algorithm, the control issue under the decentralization. We constructed a distributed multi-agent system, set the permission of each agent, proposed a fuzzy eva luation model dealing with make-span,finish date,processing cost,processing precision of tasks ,while proposed a set covering-based task team allocating heuristic search algorithm.
Last but not least important, the paper employed Tianjin Exploratory Machinery Company to witness the effectiveness of task planning steps of this distributed multi-agent system, compared this result with that of traditional task allocating mechanism, and proved that the bidding-based decentralized production planning and control can reduce the conflicts of capacity in production system, shorten the make-span time of each product ,which can optimize the entire production system and obtain the near optimal task planning and scheduling, then guarantee profit maximization as well as robustness of plan execution.
Keywords: Production Planning and Control; Bidding; Multi-agent System; Fuzzy eva luation Model
目錄
摘要 I
Abstract II
目錄 I
Contents III
第1章 緒論 1
1.1選題背景及研究意義 1
1.1.1生產(chǎn)計劃與控制的概述 1
1.1.2生產(chǎn)計劃與控制中存在的問題 2
1.2 研究綜述 3
1.2.1 生產(chǎn)計劃與控制研究綜述 3
1.2.2 多代理系統(tǒng)在計劃與控制應用中的研究綜述 4
1.2.3 招投標在計劃與控制中的研究綜述 4
1.3 研究內(nèi)容、技術(shù)路線及論文結(jié)構(gòu) 5
1.3.1 研究內(nèi)容 5
1.3.2 技術(shù)路線 6
1.3.3 論文結(jié)構(gòu) 6
1.4 創(chuàng)新點 7
1.5 本章小結(jié) 7
第2章 分權(quán)式生產(chǎn)計劃與控制問題的理論基礎(chǔ) 9
2.1 組織結(jié)構(gòu)的分權(quán)化 9
2.1.1 組織結(jié)構(gòu)的進化趨勢 9
2.1.2 網(wǎng)絡(luò)組織的概念 10
2.1.3 網(wǎng)絡(luò)組織結(jié)構(gòu) 10
2.2 Agent及Agent系統(tǒng) 12
2.2.1 Agent的概述 12
2.2.2..
