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Multi-objective optimization for the multi-mode finance-based project scheduling problem

Sameh Al-SHIHABI, Mohammad AlDURGAM

《工程管理前沿（英文）》 2020年第7卷第2期页码 223-237 doi: 10.1007/s42524-020-0097-1

摘要： The finance-based scheduling problem (FBSP) is about scheduling project activities without exceeding a credit line financing limit. The FBSP is extended to consider different execution modes that result in the multi-mode FBSP (MMFBSP). Unfortunately, researchers have abandoned the development of exact models to solve the FBSP and its extensions. Instead, researchers have heavily relied on the use of heuristics and meta-heuristics, which do not guarantee solution optimality. No exact models are available for contractors who look for optimal solutions to the multi-objective MMFBSP. CPLEX, which is an exact solver, has witnessed a significant decrease in its computation time. Moreover, its current version, CPLEX 12.9, solves multi-objective optimization problems. This study presents a mixed-integer linear programming model for the multi-objective MMFBSP. Using CPLEX 12.9, we discuss several techniques that researchers can use to optimize a multi-objective MMFBSP. We test our model by solving several problems from the literature. We also show how to solve multi-objective optimization problems by using CPLEX 12.9 and how computation time increases as problem size increases. The small increase in computation time compared with possible cost savings make exact models a must for practitioners. Moreover, the linear programming-relaxation of the model, which takes seconds, can provide an excellent lower bound.

关键词： multi-objective optimization finance-based scheduling multi-mode project scheduling mixed-integer linear programming CPLEX

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Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

《工程管理前沿（英文）》 2020年第7卷第3期页码 426-446 doi: 10.1007/s42524-020-0100-x

摘要： In this study, we considered a bi-objective, multi-project, multi-mode resource-constrained project scheduling problem. We adopted three objective pairs as combinations of the net present value (NPV) as a financial performance measure with one of the time-based performance measures, namely, makespan ( ), mean completion time (MCT), and mean flow time (MFT) (i.e., min /max , min /max , and min /max ). We developed a hybrid non-dominated sorting genetic algorithm II (hybrid-NSGA-II) as a solution method by introducing a backward–forward pass (BFP) procedure and an injection procedure into NSGA-II. The BFP was proposed for new population generation and post-processing. Then, an injection procedure was introduced to increase diversity. The BFP and injection procedures led to improved objective functional values. The injection procedure generated a significantly high number of non-dominated solutions, thereby resulting in great diversity. An extensive computational study was performed. Results showed that hybrid-NSGA-II surpassed NSGA-II in terms of the performance metrics hypervolume, maximum spread, and the number of non-dominated solutions. Solutions were obtained for the objective pairs using hybrid-NSGA-II and three different test problem sets with specific properties. Further analysis was performed by employing cash balance, which was another financial performance measure of practical importance. Several managerial insights and extensions for further research were presented.

关键词： backward–forward scheduling hybrid bi-objective genetic algorithm injection procedure maximum cash balance multi-objective multi-project multi-mode resource-constrained project scheduling problem

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过程操作性能的在线评估与诊断

Sedghi Shabnam,Huang Biao

《工程（英文）》 2017年第3卷第2期页码 214-219 doi: 10.1016/J.ENG.2017.02.004

摘要：

随着时间的推移，过程性能会因为过程变动和不确定性从其初始状态偏移，这使系统性地发展基于日常过程操作数据的在线最优性评估方法变得必要。一些过程，由于其关键过程变量操作点的变动，会产生多个不同操作模态，以满足不同的产品要求。另外，每一个操作模态的操作区域会由于系统的不确定性产生变动。本文中，我们建立了一个用于多模态、多操作区域的典型过程的最优性评估，该方法也能够处理模态切换时的过渡状态的最优性评估。在该框架中，核密度方法被改进，并被用于操作模态检测。在在线阶段，结合过程系统的先验知识，基于模型的聚类判别分析方法(model-based clustering discriminant analysis，MclustDA) 被用于模态检测。此外，稳态模态的多模态特性由混合概率主成分回归方法(mixture probabilistic principal component regression，MPPCR) 处理；动态主成分回归方法(dynamic principal component regression，DPCR) 被用来探究不同模态间的过渡状态的性能评估。除此以外，一种基于序列浮动前向搜索(sequential forward floating search,SFFS) 的概率因果关系检测方法被引入，用以检测系统的不良或非最佳性能。最后，本文提出的算法被应用于田纳西- 伊斯曼(Tennessee Eastman) 过程之中，用以评估本文算法的性能。

关键词：最优性能评估概率主成分回归多模态过程

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时间—资源权衡协调问题的多目标优化决策模型

王先甲,万仲平

《中国工程科学》 2005年第7卷第2期页码 35-40

摘要：

时间—资源权衡协调是以追求资源消耗费用极小和项目完工时间最短为目标，在满足项目工期要求下，根据项目活动时间的先后次序与可更新资源约束有效确定项目时间表。提出了一个具有资源约束问题的时间—资源权衡协调问题的多目标优化决策数学模型。在模型中，对相互冲突的项目工期与整个被消耗的资源费用是可权衡调节的。通过权衡协调和调节项目工期与整个资源消耗费用，得到了满足权衡协调关系的满意可行解，并给出了一个数值算例。此外，在对应于资源约束的Lagrangian松弛表示式中，给出了该二人对策问题的有关特性。

关键词：项目计划管理时间—资源权衡协调多目标优化决策模型项目时间表 Lagrangian松弛

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Satellite scheduling engine: The intelligent solver for future multi-satellite management

《工程管理前沿（英文）》 2022年第9卷第4期页码 683-688 doi: 10.1007/s42524-022-0222-4

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Optimization of multi-objective integrated process planning and scheduling problem using a priority based

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

《机械工程前沿（英文）》 2015年第10卷第4期页码 392-404 doi: 10.1007/s11465-015-0353-y

摘要：

For increasing the overall performance of modern manufacturing systems, effective integration of process planning and scheduling functions has been an important area of consideration among researchers. Owing to the complexity of handling process planning and scheduling simultaneously, most of the research work has been limited to solving the integrated process planning and scheduling (IPPS) problem for a single objective function. As there are many conflicting objectives when dealing with process planning and scheduling, real world problems cannot be fully captured considering only a single objective for optimization. Therefore considering multi-objective IPPS (MOIPPS) problem is inevitable. Unfortunately, only a handful of research papers are available on solving MOIPPS problem. In this paper, an optimization algorithm for solving MOIPPS problem is presented. The proposed algorithm uses a set of dispatching rules coupled with priority assignment to optimize the IPPS problem for various objectives like makespan, total machine load, total tardiness, etc. A fixed sized external archive coupled with a crowding distance mechanism is used to store and maintain the non-dominated solutions. To compare the results with other algorithms, a C-matric based method has been used. Instances from four recent papers have been solved to demonstrate the effectiveness of the proposed algorithm. The experimental results show that the proposed method is an efficient approach for solving the MOIPPS problem.

关键词： integrated process planning and scheduling (IPPS) dispatching rules priority based optimization algorithm multi-objective optimization

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Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level

Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG

《机械工程前沿（英文）》 2019年第14卷第4期页码 474-488 doi: 10.1007/s11465-019-0560-z

摘要： The rise of the engine remanufacturing industry has resulted in increased possibilities of energy conservation during the remanufacturing process, and scheduling could exert significant effects on the energy performance of manufacturing systems. However, only a few studies have specifically addressed energy-efficient scheduling for remanufacturing. Considering the uncertain processing time and routes and the operation characteristics of remanufacturing, we used the crankshaft as an illustrative case and built a fuzzy job-shop scheduling model to minimize the energy consumption during remanufacturing. An improved adaptive genetic algorithm was developed by using the hormone modulation mechanism to deal with the scheduling problem that simultaneously involves parallel machines, batch machines, and uncertain processing routes and time. The algorithm demonstrated superior performance in terms of optimal value, run time, and convergent generation in comparison with other algorithms. Computational results indicated that the optimal scheduling scheme is expected to generate 1.7 kW∙h of energy saving for the investigated problem size. In addition, the scheme could improve the energy efficiency of the crankshaft remanufacturing process by approximately 5%. This study provides a basis for production managers to improve the sustainability of remanufacturing through energy-aware scheduling.

关键词： remanufacturing scheduling adaptive genetic algorithm energy efficiency sustainable remanufacturing hormone modulation mechanism

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Active-reactive power scheduling of integrated electricity-gas network with multi-microgrids

《能源前沿（英文）》 doi: 10.1007/s11708-022-0857-1

摘要： Advances in natural gas-fired technologies have deepened the coupling between electricity and gas networks, promoting the development of the integrated electricity-gas network (IEGN) and strengthening the interaction between the active-reactive power flow in the power distribution network (PDN) and the natural gas flow in the gas distribution network (GDN). This paper proposes a day-ahead active-reactive power scheduling model for the IEGN with multi-microgrids (MMGs) to minimize the total operating cost. Through the tight coupling relationship between the subsystems of the IEGN, the potentialities of the IEGN with MMGs toward multi-energy cooperative interaction is optimized. Important component models are elaborated in the PDN, GDN, and coupled MMGs. Besides, motivated by the non-negligible impact of the reactive power, optimal inverter dispatch (OID) is considered to optimize the active and reactive power capabilities of the inverters of distributed generators. Further, a second-order cone (SOC) relaxation technology is utilized to transform the proposed active-reactive power scheduling model into a convex optimization problem that the commercial solver can directly solve. A test system consisting of an IEEE-33 test system and a 7-node natural gas network is adopted to verify the effectiveness of the proposed scheduling method. The results show that the proposed scheduling method can effectively reduce the power losses of the PDN in the IEGN by 9.86%, increase the flexibility of the joint operation of the subsystems of the IEGN, reduce the total operation costs by $32.20, and effectively enhance the operation economy of the IEGN.

关键词： combined cooling heating and power (CCHP) integrated energy systems (IES) natural gas power distribution system gas distribution system

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A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

《机械工程前沿（英文）》 2020年第15卷第2期页码 338-350 doi: 10.1007/s11465-019-0572-8

摘要： Low-carbon manufacturing (LCM) is increasingly being regarded as a new sustainable manufacturing model of carbon emission reduction in the manufacturing industry. In this paper, a two-stage low-carbon scheduling optimization method of job shop is presented as part of the efforts to implement LCM, which also aims to reduce the processing cost and improve the efficiency of a mechanical machining process. In the first stage, a task assignment optimization model is proposed to optimize carbon emissions without jeopardizing the processing efficiency and the profit of a machining process. Non-dominated sorting genetic algorithm II and technique for order preference by similarity to an ideal solution are then adopted to assign the most suitable batch task of different parts to each machine. In the second stage, a processing route optimization model is established to plan the processing sequence of different parts for each machine. Finally, niche genetic algorithm is utilized to minimize the makespan. A case study on the fabrication of four typical parts of a machine tool is demonstrated to validate the proposed method.

关键词： Low-carbon manufacturing carbon efficiency multi-objective optimization two-stage scheduling job shop

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三峡工程管理模式及混凝土技术研究

曹广晶

《中国工程科学》 2004年第6卷第8期页码 82-85

摘要：

三峡水利枢纽是目前世界上规模最大的混凝土建筑物,混凝土总量近2 800×10⁴m³,除满足稳定性要求外，还需要满足泄洪、发电、航运等方面的特殊要求,具有结构复杂、施工强度高、技术标准高等特点。通过10年的工程实践，三峡工程建设管理初步形成了具有三峡工程特色的管理模式。为保证混凝土优质快速施工,研究和决策了若干新技术和新工艺，论述了三峡工程的管理模式和三峡工程混凝土工程技术。

关键词：三峡工程管理模式混凝土

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Developing a new model for simultaneous scheduling of two grand projects based on game theory and solving

Loghman PIRI, Vahidreza GHEZAVATI, Ashkan HAFEZALKOTOB

《工程管理前沿（英文）》 2022年第9卷第1期页码 117-134 doi: 10.1007/s42524-020-0115-3

摘要： Grand infrastructure projects, such as dam, power plant, petroleum, and gas industry projects, have several contractors working on them in several independent sub-projects. The concern of reducing the duration of these projects is one of the important issues among various aspects; thus, our aim is to fulfill the requirements by using the game theory approach. In this study, a mixed-integer programming model consisting of game theory and project scheduling is developed to reduce the duration of projects with a minimum increase in costs. In this model, two contractors in successive periods are entered into a step-by-step competition by the employer during dynamic games, considering an exchange in their limited resources. The optimum solution of the game in each stage are selected as the strategy, and the resources during the game are considered to be renewable and limited. The strategy of each contractor can be described as follows: 1) share their resources with the other contractor and 2) not share the resources with the other contractor. This model can act dynamically in all circumstances during project implementation. If a player chooses a non-optimum strategy, then this strategy can immediately update itself at the succeeding time period. The proposed model is solved using the exact Benders decomposition method, which is coded in GAMS software. The results suggest the implementation of four step-by-step games between the contractors. Then, the results of our model are compared with those of the conventional models. The projects’ duration in our model is reduced by 22.2%. The nominal revenue of both contractors has also reached a significant value of 46078 units compared with the relative value of zero units in the original model. Moreover, we observed in both projects the decreases of 19.5%, 20.9%, and 19.7% in the total stagnation of resources of types 1, 2, and 3, respectively.

关键词： project scheduling resource leveling between projects constrained resources game theory Benders decomposition

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Planning projects with scarce resources: Yesterday, today and tomorrow’s research challenges

Mario VANHOUCKE

《工程管理前沿（英文）》 2018年第5卷第2期页码 133-149 doi: 10.15302/J-FEM-2018088

摘要： This paper is an invited request to describe the main research challenges in the domain of resource-constrained project scheduling. The paper is split up in three parts. In today’s challenges, research endeavors that have received a significant, but still not enough, attention have been described. In tomorrow’s research challenges, some promising research avenues for future research have been given. Finally, in yesterday’s challenge, a research topic that started decades ago, is said to have still a huge potential in tomorrow’s research agenda. This paper does not intend to give a full literature overview, nor a summary of all possible research paths. Instead, it is inspired from the author’s experience in academic research and practical consultancy and it serves as a personal opinion on a non-exhaustive set of promising research avenues, rather than giving a full literature-based advice for future research directions.

关键词： project management project scheduling resource constraints PERT/CPM RCPSP

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How does the improved DB mode degrade the complex integrity of infrastructure mega-projects?Evidence from the Hong Kong-Zhuhai-Macao Bridge project in China

Jinwen ZHANG, Yumin QIU

《工程管理前沿（英文）》 2018年第5卷第1期页码 40-51 doi: 10.15302/J-FEM-2018083

摘要： Complex integrity is one of the main characteristics of infrastructure mega-projects (IMPs). Cost, technology, risk, duration, environmental impact, and other uncertain complexities are interrelated and constitute a challenging and complex management problem. At present, there is no unified understanding of or solutions to these complex integrity problems. This study analyzes the complex integrity of the island-tunnel subproject of the Hong Kong-Zhuhai-Macao Bridge (HZMB) project and proposes an improved design-build (DB) mode in which the owner provides a preliminary design and has the right to form and manage consortium. This improved DB mode creatively degrades the special complexities that arise from multiple dimensions. On this basis, it is an efficacious way to grasp the main contradictions, integrate the effective resources, and degrade the complex integrity in multiple dimensions and at multiple levels so as to effectively deal with the complexity management of IMPs.

关键词： Hong Kong-Zhuhai-Macao Bridge project island-tunnel subproject complex integrity complexity degradation the general contracting mode of design-build the design-build consortium

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Analysis of synergy degree and its influencing factors in hydropower EPC project management

Jiwei ZHU, Hua GAO, Jiangrui WANG

《工程管理前沿（英文）》 2021年第8卷第3期页码 402-411 doi: 10.1007/s42524-020-0098-0

摘要： The use of engineering procurement construction (EPC) mode is currently a trend in hydropower engineering construction. The clarification of the internal relationship between hydropower EPC projects and the realization of synergy has great significance in improving management efficiency and implementation effect. In this work, a three-dimensional system and a system model of hydropower EPC project management synergy are constructed. The mechanism and factors that influence the degree of management synergy are analyzed on the basis of management synergy theory. Furthermore, the evaluation index system and the degree of synergy model are established, and grey relational analysis is utilized to identify the key factors that affect the synergy degree. Thus, this study aims to facilitate the hydropower EPC project management synergy, provide a quantitative method for synergy degree evaluation, and propose corresponding promotion strategies. Results show that the order degree of each subsystem presents a steady upward trend. Specifically, the order degree of the subsystem at the trial operation stage is low, which is the major restriction on the further improvement of the synergy degree of EPC project management. The key factors in improving the synergy level of hydropower EPC project management are mainly concentrated in the information and organization synergy subsystems, including the construction degree of information platform, the performance of functions, the timeliness of information transfer, and the functions of the information platform.

关键词： hydropower project EPC mode synergy degree model grey relational analysis

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A rectangle bin packing optimization approach to the signal scheduling problem in the FlexRay staticsegment Project supported by the Program for Changjiang Scholars and Innovative Research Team

Rui ZHAO,Gui-he QIN,Jia-qiao LIU

《信息与电子工程前沿（英文）》 2016年第17卷第4期页码 375-388 doi: 10.1631/FITEE.1500232

摘要： As FlexRay communication protocol is extensively used in distributed real-time applications on vehicles, signal scheduling in FlexRay network becomes a critical issue to ensure the safe and efficient operation of time-critical applications. In this study, we propose a rectangle bin packing optimization approach to schedule communication signals with timing constraints into the FlexRay static segment at minimum bandwidth cost. The proposed approach, which is based on integer linear programming (ILP), supports both the slot assignment mechanisms provided by the latest version of the FlexRay specification, namely, the single sender slot multiplexing, and multiple sender slot multiplexing mechanisms. Extensive experiments on a synthetic and an automotive X-by-wire system case study demonstrate that the proposed approach has a well optimized performance.

关键词： FlexRay Real-time applications Rectangle bin packing Schedule optimization Slot multiplexing

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标题作者时间类型操作

Multi-objective optimization for the multi-mode finance-based project scheduling problem

Sameh Al-SHIHABI, Mohammad AlDURGAM

期刊论文

Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

期刊论文

过程操作性能的在线评估与诊断

Sedghi Shabnam,Huang Biao

期刊论文

时间—资源权衡协调问题的多目标优化决策模型

王先甲,万仲平

期刊论文

Satellite scheduling engine: The intelligent solver for future multi-satellite management

期刊论文

Optimization of multi-objective integrated process planning and scheduling problem using a priority based

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

期刊论文

Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level

Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG

期刊论文

Active-reactive power scheduling of integrated electricity-gas network with multi-microgrids

期刊论文

A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

期刊论文

三峡工程管理模式及混凝土技术研究

曹广晶

期刊论文

Developing a new model for simultaneous scheduling of two grand projects based on game theory and solving

Loghman PIRI, Vahidreza GHEZAVATI, Ashkan HAFEZALKOTOB

期刊论文

Planning projects with scarce resources: Yesterday, today and tomorrow’s research challenges

Mario VANHOUCKE

期刊论文

How does the improved DB mode degrade the complex integrity of infrastructure mega-projects?Evidence from the Hong Kong-Zhuhai-Macao Bridge project in China

Jinwen ZHANG, Yumin QIU

期刊论文

Analysis of synergy degree and its influencing factors in hydropower EPC project management

Jiwei ZHU, Hua GAO, Jiangrui WANG

期刊论文

A rectangle bin packing optimization approach to the signal scheduling problem in the FlexRay staticsegment Project supported by the Program for Changjiang Scholars and Innovative Research Team

Rui ZHAO,Gui-he QIN,Jia-qiao LIU

期刊论文

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